From 88828a9c04ed7bddb83bbaf442980be8deac99c0 Mon Sep 17 00:00:00 2001 From: Rising Odegua Date: Sun, 30 May 2021 14:50:49 +0100 Subject: [PATCH] Fixes #181 Bug in str accessor when NaN values are present --- danfojs-browser/lib/bundle.js | 2 +- danfojs-browser/lib/bundle.js.map | 2 +- danfojs-browser/src/core/series.js | 18 ++-- danfojs-browser/src/core/strings.js | 143 ++++++++++++++++++++----- danfojs-browser/tests/core/frame.js | 24 +++++ danfojs-browser/tests/core/series.js | 12 ++- danfojs-node/dist/core/series.js | 18 +--- danfojs-node/dist/core/strings.js | 140 +++++++++++++++++++----- danfojs-node/src/core/series.js | 152 +++++++++++++-------------- danfojs-node/src/core/strings.js | 143 ++++++++++++++++++++----- danfojs-node/tests/core/frame.js | 26 +++++ danfojs-node/tests/core/series.js | 12 ++- danfojs-node/tests/core/strings.js | 96 ++++++++--------- 13 files changed, 543 insertions(+), 245 deletions(-) diff --git a/danfojs-browser/lib/bundle.js b/danfojs-browser/lib/bundle.js index 29044a73..688da624 100644 --- a/danfojs-browser/lib/bundle.js +++ b/danfojs-browser/lib/bundle.js @@ -1,3 +1,3 @@ /*! 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To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();const e=await ba().read(this.dataId);return"string"===this.dtype?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(ba().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return va.print(this,e)}clone(){return this.throwIfDisposed(),va.clone(this)}toString(e=!1){return fa(this.dataSync(),this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),va.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),ba().makeVariable(this,e,t,n)}}function xa(){return He("Tensor",(()=>_a))}Object.defineProperty(_a,Symbol.hasInstance,{value:e=>!!e&&null!=e.data&&null!=e.dataSync&&null!=e.throwIfDisposed}),xa();class ka extends _a{constructor(e,t,n,r){super(e.shape,e.dtype,e.dataId,r),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!se(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);ba().disposeTensor(this),this.dataId=e.dataId,ba().incRef(this,null)}dispose(){ba().disposeVariable(this),this.isDisposedInternal=!0}}var Ea,Ca,Sa,Na,Ia;Object.defineProperty(ka,Symbol.hasInstance,{value:e=>e instanceof _a&&null!=e.assign&&e.assign instanceof Function}),function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"}(Ea||(Ea={})),function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"}(Ca||(Ca={})),function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"}(Sa||(Sa={})),function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"}(Na||(Na={})),function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"}(Ia||(Ia={}));const Aa={float32:Na,int32:Ca,bool:Sa,complex64:Ia};function Da(e,t){if("string"===e||"string"===t){if("string"===e&&"string"===t)return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return Aa[e][t]}function Ta(e){return Da(e,"int32")}function Fa(e,t){if(e.dtype===t.dtype)return[e,t];const n=Da(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function Ra(e,t){Q(e.dtype===t.dtype,(()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`))}function Oa(e,t){return t.some((t=>t.id===e.id))}function Ma(e){const t=[];return Ba(e,t,new Set),t}function Ba(e,t,n){if(null==e)return;if(e instanceof _a)return void t.push(e);if(r=e,!Array.isArray(r)&&"object"!=typeof r)return;var r;const a=e;for(const e in a){const r=a[e];n.has(r)||(n.add(r),Ba(r,t,n))}}function $a(e){return null!=e.kernelName}class Pa{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map((e=>e.name))))}}}dispose(){for(const e in this.registeredVariables)this.registeredVariables[e].dispose()}}class La{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Pa}async ready(){if(null!=this.pendingBackendInit)return this.pendingBackendInit.then((()=>{}));if(null!=this.backendInstance)return;const e=this.getSortedBackends();for(let t=0;t{null!=e.setupFunc&&e.setupFunc(this.backendInstance)}))}disposeRegisteredKernels(e){Yr(e).forEach((t=>{null!=t.disposeFunc&&t.disposeFunc(this.registry[e])}))}initializeBackend(e){const t=this.registryFactory[e];if(null==t)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{const n=t.factory();if(!n||n instanceof j||"function"!=typeof n.then)return this.registry[e]=n,{success:!0,asyncInit:!1};{const t=++this.pendingBackendInitId,r=n.then((n=>!(t(tthis.registryFactory[t].priority-this.registryFactory[e].priority))}initializeBackendsAndReturnBest(){const e=this.getSortedBackends();for(let t=0;tthis.startScope(r)),(()=>this.endScope(n)),(()=>(n=t(),n instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n)))}scopedRun(e,t,n){e();try{const e=n();return t(),e}catch(e){throw t(),e}}nextTensorId(){return La.nextTensorId++}nextVariableId(){return La.nextVariableId++}clone(e){const t=Wa.runKernel(an,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(e=>({x:()=>{const t={x:e};return Wa.runKernel(pt,t,{dtype:"float32"})}})),[],{}),t}runKernel(e,t,n){if(null==Kr(e,this.backendName))throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){const r=this.backend.numDataIds();let a=0;n.forEach((e=>{a+="complex64"===e.dtype?3:1}));const s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=r-t-a-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[];const r=this.isTapeOn(),a=this.state.numBytes,s=this.state.numTensors;let i,o;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;const l=$a(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if($a(e)){const{kernelName:t,inputs:a,attrs:s}=e;null==this.backendName&&this.backend;const l=Kr(t,this.backendName);Q(null!=l,(()=>`Cannot find registered kernel '${t}' for backend '${this.backendName}'`)),i=()=>{const e=this.backend.numDataIds();o=l.kernelFunc({inputs:a,attrs:s,backend:this.backend});const i=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(t,e,i);const u=i.map((e=>{if(null!=e.rank)return e;const{dataId:t,shape:n,dtype:r}=e;return this.makeTensorFromDataId(t,n,r)}));if(r){const e=this.getTensorsForGradient(t,a,u);n=this.saveTensorsForBackwardMode(e)}return u}}else{const{forwardFunc:t}=e,a=e=>{r&&(n=e.map((e=>this.keep(this.clone(e)))))};i=()=>{const e=this.backend.numDataIds();o=this.tidy((()=>t(this.backend,a)));const n=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,e,n),n}}const{inputs:u,attrs:c}=e,h=$a(e)?null:e.backwardsFunc;let f;return this.scopedRun((()=>this.state.kernelDepth++),(()=>this.state.kernelDepth--),(()=>{this.ENV.getBool("DEBUG")||this.state.profiling?(f=this.profiler.profileKernel(l,u,(()=>i())),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(f),t=f.outputs):t=i()})),r&&this.addTapeNode(l,u,t,h,n,c),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-a,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map((e=>null!=u[e]?u[e].shape:null)),outputShapes:t.map((e=>e.shape)),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map((e=>this.keep(this.clone(e))))}getTensorsForGradient(e,t,n){const r=qr(e);if(null!=r){const e=r.inputsToSave||[],a=r.outputsToSave||[];let s;r.saveAllInputs?(Q(Array.isArray(t),(()=>"saveAllInputs is true, expected inputs to be an array.")),s=Object.keys(t).map((e=>t[e]))):s=e.map((e=>t[e]));const i=n.filter(((e,t)=>a[t]));return s.concat(i)}return[]}makeTensor(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;let a=e;"string"===n&&ke(e[0])&&(a=e.map((e=>oa(e))));const s=r.write(a,t,n),i=new _a(t,n,s,this.nextTensorId());if(this.trackTensor(i,r),"string"===n){const e=this.state.tensorInfo.get(s),t=xe(a);this.state.numBytes+=t-e.bytes,e.bytes=t}return i}makeTensorFromDataId(e,t,n,r){const a=new _a(t,n=n||"float32",e,this.nextTensorId());return this.trackTensor(a,r),a}makeVariable(e,t=!0,n,r){n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));const a=new ka(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error(`Variable with name ${a.name} was already registered`);return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a}trackTensor(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;let n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*_e(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof ka||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;const t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){const t=e.size*_e(e.dtype);this.state.numBytes-=t}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(const e in this.state.registeredVariables){const t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]}memory(){const e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;const t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map((e=>e.totalBytesSnapshot))),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(const e of this.state.activeProfile.kernels)e.kernelTimeMs=await e.kernelTimeMs,e.extraInfo=await e.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&0===this.state.kernelDepth}addTapeNode(e,t,n,r,a,s){const i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},o=qr(e);null!=o&&(r=o.gradFunc),null!=r&&(i.gradient=e=>(e=e.map(((e,t)=>{if(null==e){const e=n[t],r=Re(e.size,e.dtype);return this.makeTensor(r,e.shape,e.dtype)}return e})),r(e.length>1?e:e[0],a,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){const t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){const t=Ma(e),n=new Set(t.map((e=>e.id)));for(let e=0;e{e.kept||e.scopeId!==r.id||this.track(e)}))}gradients(e,t,n,r=!1){if(Q(t.length>0,(()=>"gradients() received an empty list of xs.")),null!=n&&"float32"!==n.dtype)throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);const a=this.scopedRun((()=>this.startTape()),(()=>this.endTape()),(()=>this.tidy("forward",e)));Q(a instanceof _a,(()=>"The result y returned by f() must be a tensor."));const s=function(e,t,n){const r={},a={};for(let e=0;er[e.id]=!0)),o=!0,a[s.id]=!0;break}if(o)break}}const s={};s[n.id]=!0;const i={};for(let t=e.length-1;t>=0;t--){const n=e[t],r=n.inputs;for(let e=0;e0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(()=>{const e={};e[a.id]=null==n?function(e){const t=Fe(re(e),"float32");return Wa.makeTensor(t,e,"float32")}(a.shape):n,function(e,t,n,r){for(let a=t.length-1;a>=0;a--){const s=t[a],i=[];if(s.outputs.forEach((t=>{const n=e[t.id];null!=n?i.push(n):i.push(null)})),null==s.gradient)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);const o=s.gradient(i);for(const t in s.inputs){if(!(t in o))throw new Error(`Cannot backprop through input ${t}. Available gradients found: ${Object.keys(o)}.`);const a=n((()=>o[t]()));if("float32"!==a.dtype)throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${t} must have 'float32' dtype, but has '${a.dtype}'`);const i=s.inputs[t];if(!se(a.shape,i.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${t}' has shape '${a.shape}', which does not match the shape of the input '${i.shape}'`);if(null==e[i.id])e[i.id]=a;else{const t=e[i.id];e[i.id]=r(t,a),t.dispose()}}}}(e,s,(e=>this.tidy(e)),Ua);const r=t.map((t=>e[t.id]));return 0===this.state.gradientDepth&&(this.state.activeTape.forEach((e=>{for(const t of e.saved)t.dispose()})),this.state.activeTape=null),{value:a,grads:r}}))}customGrad(e){return Q(Ne(e),(()=>"The f passed in customGrad(f) must be a function.")),(...t)=>{let n;Q(t.every((e=>e instanceof _a)),(()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors"));const r={};return t.forEach(((e,t)=>{r[t]=e})),this.runKernelFunc({forwardFunc:(r,a)=>(n=e(...t,a),Q(n.value instanceof _a,(()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor")),Q(Ne(n.gradFunc),(()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.")),n.value),backwardsFunc:(e,r)=>{const a=n.gradFunc(e,r),s=Array.isArray(a)?a:[a];Q(s.length===t.length,(()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).")),Q(s.every((e=>e instanceof _a)),(()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."));const i={};return s.forEach(((e,t)=>{i[t]=()=>e})),i},inputs:r})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}async time(e){const t=sa(),n=await this.backend.time(e);return n.wallMs=sa()-t,n}track(e){return null!=this.state.activeScope&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Pa;for(const e in 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r=Wa.registeredVariables[t];null==this.accumulatedGrads[n]&&(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:po((()=>Ro(r).variable(!1)))}),null==this.accumulatedUpdates[n]&&(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:po((()=>Ro(r).variable(!1)))});const a=Array.isArray(e)?e[n].tensor:e[t];if(null==a)return;const s=this.accumulatedGrads[n].variable,i=this.accumulatedUpdates[n].variable;po((()=>{const e=No(Do(s,this.rho),Do(Fo(a),1-this.rho)),t=Do(Ao(To(No(i,this.epsilon)),To(No(s,this.epsilon))),a),n=No(Do(i,this.rho),Do(Fo(t),1-this.rho));s.assign(e),i.assign(n);const o=No(Do(t,-this.learningRate),r);r.assign(o)}))})),this.incrementIterations()}dispose(){null!=this.accumulatedUpdates&&(mo(this.accumulatedGrads.map((e=>e.variable))),mo(this.accumulatedUpdates.map((e=>e.variable))))}async getWeights(){const e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map((e=>({name:e.originalName,tensor:e.variable}))))}async setWeights(e){const t=(e=await this.extractIterations(e)).length/2;this.accumulatedGrads=e.slice(0,t).map((e=>({originalName:e.name,variable:e.tensor.variable(!1)}))),this.accumulatedUpdates=e.slice(t,2*t).map((e=>({originalName:e.name,variable:e.tensor.variable(!1)})))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}}function jo(e,t,n){const r={shape:e,value:t,dtype:n};return Wa.runKernel(qt,{},r)}Vo.className="Adadelta",Gi(Vo);class Ho extends Uo{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map((e=>e.name)):Object.keys(e)).forEach(((t,n)=>{const r=Wa.registeredVariables[t];if(null==this.accumulatedGrads[n]){const 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Go=Za({pow_:function(e,t){let n=qa(e,"base","pow"),r=qa(t,"exp","pow");[n,r]=Fa(n,r);const a={a:n,b:r};return Wa.runKernel(Xn,a)}}),Xo=Za({sub_:function(e,t){let n=qa(e,"a","sub"),r=qa(t,"b","sub");[n,r]=Fa(n,r);const a={a:n,b:r};return Wa.runKernel(Ar,a)}});class Ko extends Uo{constructor(e,t,n,r=null){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=r,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],po((()=>{this.accBeta1=Wo(t).variable(),this.accBeta2=Wo(n).variable()})),null==r&&(this.epsilon=Wa.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map((e=>e.name)):Object.keys(e);po((()=>{const n=Xo(1,this.accBeta1),r=Xo(1,this.accBeta2);t.forEach(((t,a)=>{const s=Wa.registeredVariables[t];null==this.accumulatedFirstMoment[a]&&(this.accumulatedFirstMoment[a]={originalName:`${t}/m`,variable:po((()=>Ro(s).variable(!1)))}),null==this.accumulatedSecondMoment[a]&&(this.accumulatedSecondMoment[a]={originalName:`${t}/v`,variable:po((()=>Ro(s).variable(!1)))});const i=Array.isArray(e)?e[a].tensor:e[t];if(null==i)return;const o=this.accumulatedFirstMoment[a].variable,l=this.accumulatedSecondMoment[a].variable,u=No(Do(o,this.beta1),Do(i,1-this.beta1)),c=No(Do(l,this.beta2),Do(Fo(i),1-this.beta2)),h=Ao(u,n),f=Ao(c,r);o.assign(u),l.assign(c);const d=No(Do(Ao(h,No(To(f),this.epsilon)),-this.learningRate),s);s.assign(d)})),this.accBeta1.assign(Do(this.accBeta1,this.beta1)),this.accBeta2.assign(Do(this.accBeta2,this.beta2))})),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&mo(this.accumulatedFirstMoment.map((e=>e.variable))),null!=this.accumulatedSecondMoment&&mo(this.accumulatedSecondMoment.map((e=>e.variable)))}async getWeights(){const e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map((e=>({name:e.originalName,tensor:e.variable}))))}async setWeights(e){e=await this.extractIterations(e),po((()=>{this.accBeta1.assign(Go(this.beta1,this.iterations_+1)),this.accBeta2.assign(Go(this.beta2,this.iterations_+1))}));const t=e.length/2;this.accumulatedFirstMoment=e.slice(0,t).map((e=>({originalName:e.name,variable:e.tensor.variable(!1)}))),this.accumulatedSecondMoment=e.slice(t,2*t).map((e=>({originalName:e.name,variable:e.tensor.variable(!1)})))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}}Ko.className="Adam",Gi(Ko);const qo=Za({abs_:function(e){const t=qa(e,"x","abs");if("complex64"===t.dtype){const e={x:t};return Wa.runKernel(bt,e)}{const e={x:t};return Wa.runKernel(Ge,e)}}});function Yo(e,t){const n=e.length,r=[];for(let a=0;a1&&1===i&&r.unshift(s)}return r}function Jo(e,t){const n=[];for(let r=0;r1)&&n.unshift(s)}return n}function Zo(e,t){const n=[],r=Math.max(e.length,t.length);for(let a=0;a{this.iteration=Wo(0).variable(),this.accBeta1=Wo(t).variable()})),null==r&&(this.epsilon=Wa.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map((e=>e.name)):Object.keys(e);po((()=>{const n=Xo(1,this.accBeta1),r=Ao(-this.learningRate,No(Do(this.iteration,this.decay),1));t.forEach(((t,a)=>{const s=Wa.registeredVariables[t];null==this.accumulatedFirstMoment[a]&&(this.accumulatedFirstMoment[a]={originalName:`${t}/m`,variable:Ro(s).variable(!1)}),null==this.accumulatedWeightedInfNorm[a]&&(this.accumulatedWeightedInfNorm[a]={originalName:`${t}/v`,variable:Ro(s).variable(!1)});const i=Array.isArray(e)?e[a].tensor:e[t];if(null==i)return;const o=this.accumulatedFirstMoment[a].variable,l=this.accumulatedWeightedInfNorm[a].variable,u=No(Do(o,this.beta1),Do(i,1-this.beta1)),c=Do(l,this.beta2),h=qo(i),f=Qo(c,h);o.assign(u),l.assign(f);const d=No(Do(Ao(r,n),Ao(u,No(f,this.epsilon))),s);s.assign(d)})),this.iteration.assign(No(this.iteration,1)),this.accBeta1.assign(Do(this.accBeta1,this.beta1))})),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&mo(this.accumulatedFirstMoment.map((e=>e.variable))),null!=this.accumulatedWeightedInfNorm&&mo(this.accumulatedWeightedInfNorm.map((e=>e.variable)))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}}el.className="Adamax",Gi(el);class tl extends Uo{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map((e=>e.name)):Object.keys(e)).forEach(((t,n)=>{const r=Array.isArray(e)?e[n].tensor:e[t];if(null==r)return;const a=Wa.registeredVariables[t];po((()=>{const e=No(Do(this.c,r),a);a.assign(e)}))})),this.incrementIterations()}setLearningRate(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=go(Wo(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(0!==(e=await this.extractIterations(e)).length)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}}tl.className="SGD",Gi(tl);class nl extends tl{constructor(e,t,n=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=Wo(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map((e=>e.name)):Object.keys(e)).forEach(((t,n)=>{const r=Wa.registeredVariables[t];if(null==this.accumulations[n]){const e=!1;this.accumulations[n]={originalName:`${t}/momentum`,variable:po((()=>Ro(r).variable(e)))}}const a=this.accumulations[n].variable,s=Array.isArray(e)?e[n].tensor:e[t];null!=s&&po((()=>{let e;const t=No(Do(this.m,a),s);e=this.useNesterov?No(Do(this.c,No(s,Do(t,this.m))),r):No(Do(this.c,t),r),a.assign(t),r.assign(e)}))})),this.incrementIterations()}dispose(){this.m.dispose(),null!=this.accumulations&&mo(this.accumulations.map((e=>e.variable)))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map((e=>({name:e.originalName,tensor:e.variable}))))}async setWeights(e){e=await this.extractIterations(e),this.accumulations=e.map((e=>({originalName:e.name,variable:e.tensor.variable(!1)})))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}}nl.className="Momentum",Gi(nl);class rl extends Uo{constructor(e,t=.9,n=0,r=null,a=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=r,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=a,null==r&&(this.epsilon=Wa.backend.epsilon()),null==e)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){(Array.isArray(e)?e.map((e=>e.name)):Object.keys(e)).forEach(((t,n)=>{const r=Wa.registeredVariables[t],a=!1;null==this.accumulatedMeanSquares[n]&&(this.accumulatedMeanSquares[n]={originalName:`${t}/rms`,variable:po((()=>Ro(r).variable(a)))}),null==this.accumulatedMoments[n]&&(this.accumulatedMoments[n]={originalName:`${t}/momentum`,variable:po((()=>Ro(r).variable(a)))}),null==this.accumulatedMeanGrads[n]&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${t}/mg`,variable:po((()=>Ro(r).variable(a)))});const s=Array.isArray(e)?e[n].tensor:e[t];if(null==s)return;const i=this.accumulatedMeanSquares[n].variable,o=this.accumulatedMoments[n].variable;po((()=>{const e=No(Do(i,this.decay),Do(Fo(s),1-this.decay));if(this.centered){const t=this.accumulatedMeanGrads[n].variable,a=No(Do(t,this.decay),Do(s,1-this.decay)),l=Ao(Do(s,this.learningRate),To(Xo(e,No(Fo(a),this.epsilon)))),u=No(Do(o,this.momentum),l);i.assign(e),t.assign(a),o.assign(u);const c=Xo(r,u);r.assign(c)}else{const e=No(Do(i,this.decay),Do(Fo(s),1-this.decay)),t=No(Do(o,this.momentum),Ao(Do(s,this.learningRate),To(No(e,this.epsilon))));i.assign(e),o.assign(t);const n=Xo(r,t);r.assign(n)}}))})),this.incrementIterations()}dispose(){null!=this.accumulatedMeanSquares&&mo(this.accumulatedMeanSquares.map((e=>e.variable))),null!=this.accumulatedMeanGrads&&this.centered&&mo(this.accumulatedMeanGrads.map((e=>e.variable))),null!=this.accumulatedMoments&&mo(this.accumulatedMoments.map((e=>e.variable)))}async getWeights(){const e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map((e=>({name:e.originalName,tensor:e.variable}))))}async setWeights(e){e=await this.extractIterations(e);const 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u={x:o},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:s};let h=Wa.runKernel(lt,u,c);return h=Ks(h,o.dtype),l?Al(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}}),Fl=Za({concat_:function(e,t=0){Q(e.length>=1,(()=>"Pass at least one tensor to concat"));const n=Ya(e,"tensors","concat","string_or_numeric");if("complex64"===n[0].dtype&&n.forEach((e=>{if("complex64"!==e.dtype)throw new Error(`Cannot concatenate complex64 tensors with a tensor\n with dtype ${e.dtype}. `)})),1===n.length)return qs(n[0]);const r=n,a={axis:t};return Wa.runKernel(vt,r,a)}}),Rl=Za({sigmoid_:function(e){const t={x:qa(e,"x","sigmoid")};return Wa.runKernel(gr,t)}}),Ol=Za({slice_:function(e,t,n){const r=qa(e,"x","slice","string_or_numeric");if(0===r.rank)throw new Error("Slicing scalar is not possible");const a={x:r},s={begin:t,size:n};return Wa.runKernel(fr,a,s)}}),Ml=Za({tanh_:function(e){const t={x:qa(e,"x","tanh")};return Wa.runKernel(Tr,t)}}),Bl=Za({basicLSTMCell_:function(e,t,n,r,a,s){const i=qa(e,"forgetBias","basicLSTMCell"),o=qa(t,"lstmKernel","basicLSTMCell"),l=qa(n,"lstmBias","basicLSTMCell"),u=qa(r,"data","basicLSTMCell"),c=qa(a,"c","basicLSTMCell"),h=qa(s,"h","basicLSTMCell"),f=Fl([u,h],1),d=pi(f,o),p=No(d,l),m=p.shape[0],g=p.shape[1]/4,y=[m,g],b=Ol(p,[0,0],y),v=Ol(p,[0,g],y),w=Ol(p,[0,2*g],y),_=Ol(p,[0,3*g],y),x=No(Do(Rl(b),Ml(v)),Do(c,Rl(No(i,w))));return[x,Do(Ml(x),Rl(_))]}}),$l=Za({batchToSpaceND_:function(e,t,n){const r=qa(e,"x","batchToSpaceND"),a=t.reduce(((e,t)=>e*t));Q(r.rank>=1+t.length,(()=>`input rank is ${r.rank} but should be > than blockShape.length ${t.length}`)),Q(n.length===t.length,(()=>`crops.length is ${n.length} but should be equal to blockShape.length ${t.length}`)),Q(r.shape[0]%a==0,(()=>`input tensor batch is ${r.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${a}`));const s={x:r},i={blockShape:t,crops:n};return Wa.runKernel(ht,s,i)}}),Pl=Za({batchNorm_:function(e,t,n,r,a,s){null==s&&(s=.001);const i=qa(e,"x","batchNorm"),o=qa(t,"mean","batchNorm"),l=qa(n,"variance","batchNorm");let u,c;null!=a&&(u=qa(a,"scale","batchNorm")),null!=r&&(c=qa(r,"offset","batchNorm")),Q(o.rank===l.rank,(()=>"Batch normalization gradient requires mean and variance to have equal ranks.")),Q(null==c||o.rank===c.rank,(()=>"Batch normalization gradient requires mean and offset to have equal ranks.")),Q(null==u||o.rank===u.rank,(()=>"Batch normalization gradient requires mean and scale to have equal ranks."));const h={x:function(e){let t;return t=0===e.rank||1===e.rank?Al(e,[1,1,1,e.size]):2===e.rank?Al(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?Al(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e,t}(i),scale:u,offset:c,mean:o,variance:l},f={varianceEpsilon:s},d=Wa.runKernel(Qt,h,f);return Al(d,i.shape)}}),Ll=Za({batchNorm2d_:function(e,t,n,r,a,s){const 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Do(e,Ao(n,No(Xp(),t)))}))}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}}wm.className="MaxNorm",Gi(wm);class _m extends vm{constructor(e){super(),this.defaultAxis=0,this.axis=null!=e.axis?e.axis:this.defaultAxis}apply(e){return po((()=>Ao(e,No(Xp(),bm(e,this.axis)))))}getConfig(){return{axis:this.axis}}}_m.className="UnitNorm",Gi(_m);class xm extends vm{apply(e){return zc(e)}}xm.className="NonNeg",Gi(xm);class km extends vm{constructor(e){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=null!=e.minValue?e.minValue:this.defaultMinValue,this.maxValue=null!=e.maxValue?e.maxValue:this.defaultMaxValue,this.rate=null!=e.rate?e.rate:this.defaultRate,this.axis=null!=e.axis?e.axis:this.defaultAxis}apply(e){return po((()=>{const t=bm(e,this.axis),n=No(Do(this.rate,Hl(t,this.minValue,this.maxValue)),Do(1-this.rate,t));return 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Error("Not a valid tensor name: '"+e+"'");return(0===Wm.length?"":Wm.join("/")+"/")+e}function jm(e){if(!Gm(e))throw new Error("Not a valid tensor name: '"+e+"'");$m.has(e)||$m.set(e,0);const t=$m.get(e);if($m.set(e,$m.get(e)+1),t>0){const n=`${e}_${t}`;return $m.set(n,1),n}return e}const Hm=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function Gm(e){return!!e.match(Hm)}function Xm(e,t,n){null==t&&(t=0),null==n&&(n=e.length);let r=1;for(let a=t;a{switch(e.rank){case 1:return th(e,t,n);case 2:return nh(e,[t,0],[n,e.shape[1]]);case 3:return rh(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return ah(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return Ol(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return Ol(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new Yp(`sliceAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}}))}function tg(e,t,n){return po((()=>{switch(e.rank){case 1:return th(e,t,n);case 2:return nh(e,[0,t],[e.shape[0],n]);case 3:return rh(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return ah(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new Yp(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}}))}function ng(e,t,n,r){return po((()=>{switch(e.rank){case 1:return th(e,t,n);case 2:switch(r){case 1:return eg(e,t,n);case 2:return tg(e,t,n);default:throw new Yp(`The axis is not within the rank of the tensor ${r}`)}case 3:switch(r){case 1:return eg(e,t,n);case 2:return rh(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return tg(e,t,n);default:throw new Yp(`The axis is not within the rank of the tensor ${r}`)}case 4:switch(r){case 1:return eg(e,t,n);case 2:return ah(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return ah(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return tg(e,t,n);default:throw new Yp(`The axis is not within the rank of the tensor ${r}`)}default:throw new Yp(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}}))}function rg(e,t=-1){let n;return t<0&&(n=e[0].rank,t=0!==n?n:0),t===e[0].rank&&(t=-1),Fl(e,t)}function ag(e,t){switch(e.rank){case 1:return Gl([e,t]);case 2:return Xl([e,t],0);case 3:return Kl([e,t],0);case 4:return ql([e,t],0);default:throw new Yp(`concatAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}}function sg(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new Yp(`The length of input n (${t.length}) does not match the number of dimensions in input x (${e.rank})`);return _u(e,t)}function ig(e,t=0,n=1,r,a){return Mc(e,t,n,r,a)}function og(e,t,n,r){if(e.rank<2||t.rank<2)throw new Jp(`dot requires both inputs to be rank >= 2 but got x shape = ${e.shape} and y shape = ${t.shape}`);if(t.rank>=3&&e.shape.slice(-1)[0]!==t.shape.slice(-2)[0])throw new Jp(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${e.shape} and y shape = ${t.shape}`);if(2===e.rank&&2===t.rank)return Yh({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?cg(e.rank,r,"channelsLast"):null,activation:n});{const a=e.shape.slice(),s=a.pop();e=e.reshape([-1,s]);const i=t.shape.slice(),o=i.pop(),l=i.pop(),u=[...i,o],c=Array.from({length:t.rank},((e,n)=>0===n?t.rank-2:n<=t.rank-2?n-1:n));t=t.transpose(c).reshape([l,-1]);const h=[...a,...u];return Yh({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?cg(e.rank,r,"channelsLast"):null,activation:n}).reshape(h)}}function lg(e,t,n){return po((()=>(t=Array.isArray(t)?yh(t,"int32"):t.toInt(),Eu(e,t,n))))}function ug(e){return Do(e,e)}function cg(e,t,n){const r=t.shape;if(1!==t.rank&&t.rank!==e)throw new Yp(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${e}`);if(5===e){if("channelsFirst"===n)return 1===r.length?t.reshape([1,r[0],1,1,1]):t.reshape([1,r[3],r[0],r[1],r[2]]);if("channelsLast"===n)return 1===r.length?t.reshape([1,1,1,1,r[0]]):t.reshape([1].concat(r))}else if(4===e){if("channelsFirst"===n)return 1===r.length?t.reshape([1,r[0],1,1]):t.reshape([1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?t.reshape([1,1,1,r[0]]):t.reshape([1].concat(r))}else if(3===e){if("channelsFirst"===n)return 1===r.length?t.reshape([1,r[0],1]):t.reshape([1,r[1],r[0]]);if("channelsLast"===n)return 1===r.length?t.reshape([1,1,r[0]]):t.reshape([1].concat(r))}else if(e<3)return t;throw new Yp(`Unsupported input rank by biasAdd: ${t.rank}`)}function hg(e,t,n){return po((()=>(null==n&&(n="channelsLast"),Pm(n),e.add(cg(e.rank,t,n)))))}function fg(e,t,n,r){return po((()=>$h(e,t,n,r)))}function dg(e,t,n=!1){return n?e():t()}const pg=["fanIn","fanOut","fanAvg"],mg=["normal","uniform","truncatedNormal"];class gg extends ji{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}}class yg extends gg{apply(e,t){return oc(e,t)}}yg.className="Zeros",Gi(yg);class bg extends gg{apply(e,t){return lc(e,t)}}bg.className="Ones",Gi(bg);class vg extends gg{constructor(e){if(super(),"object"!=typeof e)throw new Yp(`Expected argument of type ConstantConfig but got ${e}`);if(void 0===e.value)throw new Yp(`config must have value set but got ${e}`);this.value=e.value}apply(e,t){return po((()=>Do(Wo(this.value),lc(e,t))))}getConfig(){return{value:this.value}}}vg.className="Constant",Gi(vg);class wg extends gg{constructor(e){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=e.minval||this.DEFAULT_MINVAL,this.maxval=e.maxval||this.DEFAULT_MAXVAL,this.seed=e.seed}apply(e,t){return Bc(e,this.minval,this.maxval,t)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}}wg.className="RandomUniform",Gi(wg);class _g extends gg{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new Jp(`randomNormal does not support dType ${t}.`);return ig(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}_g.className="RandomNormal",Gi(_g);class xg extends gg{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new Jp(`truncatedNormal does not support dType ${t}.`);return kh(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}xg.className="TruncatedNormal",Gi(xg);class kg extends gg{constructor(e){super(),this.gain=null!=e.gain?e.gain:1}apply(e,t){return po((()=>{if(2!==e.length||e[0]!==e[1])throw new Yp("Identity matrix initializer can only be used for 2D square matrices.");return Do(this.gain,xu(e[0]))}))}getConfig(){return{gain:this.gain}}}kg.className="Identity",Gi(kg);class Eg extends gg{constructor(e){if(super(),e.scale<0)throw new Yp(`scale must be a positive float. Got: ${e.scale}`);var t;this.scale=null==e.scale?1:e.scale,this.mode=null==e.mode?"fanIn":e.mode,t=this.mode,dm(pg,"FanMode",t),this.distribution=null==e.distribution?"normal":e.distribution,function(e){dm(mg,"Distribution",e)}(this.distribution),this.seed=e.seed}apply(e,t){const n=function(e,t="channelsLast"){let n,r;if(Pm(t),2===e.length)n=e[0],r=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if("channelsFirst"===t){const t=Xm(e,2);n=e[1]*t,r=e[0]*t}else if("channelsLast"===t){const t=Xm(e,0,e.length-2);n=e[e.length-2]*t,r=e[e.length-1]*t}}else{const t=Xm(e);n=Math.sqrt(t),r=Math.sqrt(t)}return[n,r]}(e),r=n[0],a=n[1];let s=this.scale;if("fanIn"===this.mode?s/=Math.max(1,r):"fanOut"===this.mode?s/=Math.max(1,a):s/=Math.max(1,(r+a)/2),"normal"===this.distribution){const n=Math.sqrt(s);if("float32"!==(t=t||"float32")&&"int32"!==t)throw new Jp(`${this.getClassName()} does not support dType ${t}.`);return kh(e,0,n,t,this.seed)}{const n=Math.sqrt(3*s);return Bc(e,-n,n,t)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}}Eg.className="VarianceScaling",Gi(Eg);class Cg extends Eg{constructor(e){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Cg.className="GlorotUniform",Gi(Cg);class Sg extends Eg{constructor(e){super({scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Sg.className="GlorotNormal",Gi(Sg);class Ng extends Eg{constructor(e){super({scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Ng.className="HeNormal",Gi(Ng);class Ig extends Eg{constructor(e){super({scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Ig.className="HeUniform",Gi(Ig);class Ag extends Eg{constructor(e){super({scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Ag.className="LeCunNormal",Gi(Ag);class Dg extends Eg{constructor(e){super({scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Dg.className="LeCunNormal",Gi(Dg);class Tg extends gg{constructor(e){if(super(),this.DEFAULT_GAIN=1,this.gain=null==e.gain?this.DEFAULT_GAIN:e.gain,this.seed=e.seed,null!=this.seed)throw new Jp("Random seed is not implemented for Orthogonal Initializer yet.")}apply(e,t){return po((()=>{if(e.length<2)throw new Jp("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${e[0]*e[1]}) elements: Slowness may result.`);const t=ig(e[0]>e[1]?[e[1],e[0]]:e,0,1,"float32");let n=Wf.gramSchmidt(t);return e[0]>e[1]&&(n=n.transpose()),Do(this.gain,n)}))}getConfig(){return{gain:this.gain,seed:this.seed}}}Tg.className="Orthogonal",Gi(Tg);const Fg={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Rg(e,t={}){return um(e,Hi.getMap().classNameMap,t,"initializer")}function Og(e){return om(e)}function Mg(e){if("string"==typeof e){const t=e in Fg?Fg[e]:e;if("GlorotNormal"===t)return new Sg;if("GlorotUniform"===t)return new Cg;if("HeNormal"===t)return new Ng;if("HeUniform"===t)return new Ig;if("LeCunNormal"===t)return new Ag;if("LeCunUniform"===t)return new Dg;{const e={};return e.className=t,e.config={},Rg(e)}}return e instanceof gg?e:Rg(e)}function Bg(){return new yg}function $g(){return new bg}function Pg(e){return new vg(e)}function Lg(e){return new wg(e)}function zg(e){return new _g(e)}function Wg(e){return new xg(e)}function Ug(e){return new kg(e)}function Vg(e){return new Eg(e)}function jg(e){return new Cg(e)}function Hg(e){return new Sg(e)}function Gg(e){return new Ng(e)}function Xg(e){return new Ig(e)}function Kg(e){return new Ag(e)}function qg(e){return new Dg(e)}function Yg(e){return new Tg(e)}let Jg=0;function Zg(){return Jg++}const Qg={};function ey(e=""){return e in Qg||(Qg[e]=0),Qg[e]+=1,e+Qg[e].toString()}function ty(e){return Array.isArray(e)&&Array.isArray(e[0])}function ny(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function ry(e){let t;if(Array.isArray(e)){if(1!==e.length)throw new Yp(`Expected Tensor length to be 1; got ${e.length}`);t=e[0]}else t=e;return t}function ay(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return(e=e)[0];throw new Yp(`Expected exactly 1 Shape; got ${e.length}`)}return e}function sy(e){let t=0;for(const n of e)0===n.shape.length?t+=1:t+=n.shape.reduce(((e,t)=>e*t));return t}class iy{constructor(e,t="float32",n="Variable",r=!0,a=null){this.dtype=null==t?"float32":t,this.shape=e.shape,this.id=Zg(),n=null==n?"Variable":n,this.originalName=Vm(n),this.name=jm(this.originalName),this.trainable_=r,this.constraint=a,this.val=Nh(e,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(e){return this.assertNotDisposed(),function(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(e){this.trainable_=e,this.val.trainable=e}}function oy(e){return e.map((e=>e.read()))}function ly(e){e.forEach((e=>{e[0].write(e[1])}))}class uy{constructor(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}}class cy{constructor(e,t,n,r,a,s,i){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=r,this.callArgs=a,this.outputTensorIndex=i,this.id=Zg(),null!=s&&(this.originalName=Vm(s),this.name=jm(this.originalName)),this.rank=t.length}}let hy=0;class fy{constructor(e,t){this.callArgs=t,this.id=hy++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(const t of e.inboundLayers)null!=t&&t.outboundNodes.push(this);e.outboundLayer.inboundNodes.push(this)}getConfig(){const e=[];for(const t of this.inboundLayers)null!=t?e.push(t.name):e.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}let dy=0;class py extends ji{constructor(e={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=dy++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let t=e.name;if(!t){const e=this.getClassName();t=am(e)+"_"+ey(e)}if(this.name=t,this.trainable_=null==e.trainable||e.trainable,null!=e.inputShape||null!=e.batchInputShape){let t;if(null!=e.batchInputShape)t=e.batchInputShape;else if(null!=e.inputShape){let n=null;null!=e.batchSize&&(n=e.batchSize),t=[n].concat(e.inputShape)}this.batchInputShape=t;let n=e.dtype;null==n&&(n=e.inputDType),null==n&&(n="float32"),this.dtype=n}null!=e.weights?this.initialWeights=e.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(e,t){return e.name+"_ib-"+t.toString()}getNodeAtIndex(e,t){if(0===this.inboundNodes.length)throw new qp(`The layer has never been called and thus has no defined ${t}.`);if(this.inboundNodes.length<=e)throw new Yp(`Asked to get ${t} at node ${e}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[e]}getInputAt(e){return nm(this.getNodeAtIndex(e,"input").inputTensors)}getOutputAt(e){return nm(this.getNodeAtIndex(e,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new Kp(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. 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Input received: ${e}`);for(let n=0;na.maxNDim)throw new Yp(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${a.maxNDim}, found ndim=${s}`);if(null!=a.minNDim&&s=0?e[r]:e[e.length+r];if(null!=s&&-1===[s,null].indexOf(i))throw new Yp(`Input ${n} is incompatible with layer ${this.name}: expected axis ${r} of input shape to have value ${s} but got shape ${e}.`)}}if(null!=a.shape)for(let e=0;e{if(!this.built){this.assertInputCompatibility(e);const t=[];for(const n of rm(e))t.push(n.shape);this.build(nm(t)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),null===this._refCount&&a&&(this._refCount=1)}if(this.assertInputCompatibility(e),a){let r=this.call(e,t);const a=rm(r),s=[];for(let e of a)-1!==n.indexOf(e)&&(e=e.clone()),s.push(e);if(r=nm(s),null!=this.activityRegularizer)throw new Jp("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return r}{const n=function(e){e=rm(e);const t=[];for(const n of e)t.push(n.shape);return nm(t)}(e),r=this.computeOutputShape(n);let a;const s="float32";if(this.warnOnIncompatibleInputShape(Array.isArray(e)?n[0]:n),a=null!=r&&r.length>0&&Array.isArray(r[0])?r.map(((n,r)=>new cy(s,n,this,rm(e),t,this.name,r))):new cy(s,r,this,rm(e),t,this.name),this.addInboundNode(e,a,null,null,n,r,t),this._refCount++,null!=this.activityRegularizer)throw new Jp("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return a}}))}warnOnIncompatibleInputShape(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(e)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let t=!1;this.batchInputShape.forEach(((n,r)=>{null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)})),t&&console.warn(`The shape of the input tensor (${JSON.stringify(e)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new Kp(`The layer ${this.name} has never been called and thus has no defined output shape.`);const e=[];for(const t of this.inboundNodes){const n=JSON.stringify(t.outputShapes);-1===e.indexOf(n)&&e.push(n)}if(1===e.length){const e=this.inboundNodes[0].outputShapes;return Array.isArray(e)&&Array.isArray(e[0])&&1===e.length?e[0]:e}throw new Kp(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new qp(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return sy(this.weights)}build(e){this.built=!0}getWeights(e=!1){return oy(e?this.trainableWeights:this.weights)}setWeights(e){po((()=>{const t=this.weights;if(t.length!==e.length)throw new Yp(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${e.length}, but the layer was expecting ${t.length} weights. 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fy({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:c,inputTensors:o,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:s},i);for(let e=0;ee.dispose())),this.weights.length}assertNotDisposed(){if(0===this._refCount)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(null===this._refCount)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}}function my(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];{const e=t.inboundNodes[n];if(0===e.inboundLayers.length)return e.inputTensors;{const t=[];for(let n=0;n0){const a=await Promise.all(t);for(let t=0;tNo(this.totals[e],Do(r,n))));this.totals[e]=a,null!=t&&t.dispose()}}}async onEpochEnd(e,t){if(null!=t)for(const e of this.params.metrics)null!=this.totals[e]&&("number"==typeof this.totals[e]?t[e]=this.totals[e]/this.seen:po((()=>{const n=Do(Ao(1,this.seen),this.totals[e]);t[e]=n,this.totals[e].dispose(),go(t[e])})))}}class Ey extends _y{async onTrainBegin(e){this.epoch=[],this.history={}}async onEpochEnd(e,t){null==t&&(t={}),this.epoch.push(e);for(const e in t)null==this.history[e]&&(this.history[e]=[]),this.history[e].push(t[e])}async syncData(){const e=[],t=[],n=[];for(const r in this.history){const a=this.history[r];for(let s=0;s{const s=sa();return s-rnew Cy(e,t)))}class Ny{constructor(){}static registerCallbackConstructor(e,t){Q(e>=0&&Number.isInteger(e),(()=>`Verbosity level is expected to be an integer >= 0, but got ${e}`)),Ny.checkForDuplicate(t),null==Ny.constructors[e]&&(Ny.constructors[e]=[]),Ny.constructors[e].push(t)}static checkForDuplicate(e){for(const t in 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po((()=>hc(6,zc(e))))}}Vb.className="relu6",Gi(Vb);class jb extends Lb{apply(e){return e}}jb.className="linear",Gi(jb);class Hb extends Lb{apply(e){return Rl(e)}}Hb.className="sigmoid",Gi(Hb);class Gb extends Lb{apply(e){return function(e){return po((()=>{const t=No(.5,Do(.2,e));return Hl(t,0,1)}))}(e)}}Gb.className="hardSigmoid",Gi(Gb);class Xb extends Lb{apply(e){return Lu(e)}}Xb.className="softplus",Gi(Xb);class Kb extends Lb{apply(e){return function(e){return po((()=>Ao(e,qo(e).add(1))))}(e)}}Kb.className="softsign",Gi(Kb);class qb extends Lb{apply(e){return Ml(e)}}qb.className="tanh",Gi(qb);class Yb extends Lb{apply(e,t=-1){return sh(e,t)}}Yb.className="softmax",Gi(Yb);class Jb extends Lb{apply(e,t=-1){return Vu(e,t)}}Jb.className="logSoftmax",Gi(Jb);class Zb extends Lb{apply(e,t=1){return po((()=>Rl(e.mul(t)).mul(e)))}}Zb.className="swish",Gi(Zb);class Qb extends Lb{apply(e){return po((()=>Do(e,Ml(Lu(e)))))}}function ev(e){return e.getClassName()}function tv(e,t={}){return um(e,Hi.getMap().classNameMap,t,"activation")}function nv(e){if(null==e){return tv({className:"linear",config:{}})}if("string"==typeof e){const t={};return t.className=e,t.config={},tv(t)}return e instanceof Lb?e:tv(e)}function rv(e){if(null!=e&&"object"!=typeof e)throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${e}`)}Qb.className="mish",Gi(Qb);class av extends ji{}class sv extends av{constructor(e){super(),rv(e),this.l1=null==e||null==e.l1?.01:e.l1,this.l2=null==e||null==e.l2?.01:e.l2,this.hasL1=0!==this.l1,this.hasL2=0!==this.l2}apply(e){return po((()=>{let t=oc([1]);return this.hasL1&&(t=No(t,Uu(Do(this.l1,qo(e))))),this.hasL2&&(t=No(t,Uu(Do(this.l2,ug(e))))),t.asScalar()}))}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(e,t){return new e({l1:t.l1,l2:t.l2})}}sv.className="L1L2",Gi(sv);const iv={l1l2:"L1L2"};function ov(e){return om(e)}function lv(e,t={}){return um(e,Hi.getMap().classNameMap,t,"regularizer")}function uv(e){return null==e?null:"string"==typeof e?lv({className:e in iv?iv[e]:e,config:{}}):e instanceof av?e:lv(e)}class cv extends py{constructor(e){super(null==e?{}:e),this.supportsMasking=!0,null!=e&&(this.maxValue=e.maxValue)}call(e,t){e=ry(e);let n=zc(e);return null!=this.maxValue&&(n=Hl(n,0,this.maxValue)),n}computeOutputShape(e){return e}getConfig(){const e={maxValue:this.maxValue},t=super.getConfig();return Object.assign(e,t),e}}cv.className="ReLU",Gi(cv);class hv extends py{constructor(e){super(null==e?{}:e),this.DEFAULT_ALPHA=.3,null==e&&(e={}),this.alpha=null==e.alpha?this.DEFAULT_ALPHA:e.alpha}call(e,t){const n=ry(e);return Tu(n,this.alpha)}computeOutputShape(e){return e}getConfig(){const e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}}hv.className="LeakyReLU",Gi(hv);class fv extends py{constructor(e){if(super(null==e?{}:e),this.DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),this.supportsMasking=!0,this.alphaInitializer=Mg(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=uv(e.alphaRegularizer),this.alphaConstraint=Nm(e.alphaConstraint),null==e.sharedAxes)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else{if("number"!=typeof e.sharedAxes)throw new Yp(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`);this.sharedAxes=[e.sharedAxes]}}build(e){const t=(e=ay(e)).slice(1);if(null!=this.sharedAxes)for(const e of this.sharedAxes)t[e-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);const n={};if(null!=this.sharedAxes)for(let t=1;t(Pm(t),"channelsFirst"===t?gi(e,[0,2,3,1]):e)))}function wv(e,t){return po((()=>(Pm(t),"channelsFirst"===t?gi(e,[0,2,3,4,1]):e)))}function _v(e,t,n,r=[1,1],a="valid",s,i,o=null){return po((()=>{if(null==s&&(s="channelsLast"),Pm(s),3!==e.rank&&4!==e.rank)throw new Yp(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${e.rank}.`);if(3!==t.rank&&4!==t.rank)throw new Yp(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${e.rank}.`);let l=vv(e,s);if("causal"===a)throw new Jp("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=Gh({x:l,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:i,dataFormat:"NHWC",bias:n,activation:o}),"channelsFirst"===s&&(l=gi(l,[0,3,1,2])),l}))}mv.className="Softmax",Gi(mv);class xv extends py{constructor(e,t){if(super(t),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",xv.verifyArgs(t),this.rank=e,mm(this.rank,"rank"),1!==this.rank&&2!==this.rank&&3!==this.rank)throw new Jp(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=gv(t.kernelSize,e,"kernelSize"),this.strides=gv(null==t.strides?1:t.strides,e,"strides"),this.padding=null==t.padding?"valid":t.padding,Lm(this.padding),this.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,Pm(this.dataFormat),this.activation=nv(t.activation),this.useBias=null==t.useBias||t.useBias,this.biasInitializer=Mg(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Nm(t.biasConstraint),this.biasRegularizer=uv(t.biasRegularizer),this.activityRegularizer=uv(t.activityRegularizer),this.dilationRate=gv(null==t.dilationRate?1:t.dilationRate,e,"dilationRate"),1===this.rank&&Array.isArray(this.dilationRate)&&1!==this.dilationRate.length)throw new Yp(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(2===this.rank){if("number"==typeof this.dilationRate)this.dilationRate=[this.dilationRate,this.dilationRate];else if(2!==this.dilationRate.length)throw new Yp(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(3===this.rank)if("number"==typeof this.dilationRate)this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(3!==this.dilationRate.length)throw new Yp(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}static verifyArgs(e){if(em("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!pm(e.kernelSize,"number",1,3))throw new Yp(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){const e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:ev(this.activation),useBias:this.useBias,biasInitializer:Og(this.biasInitializer),biasRegularizer:ov(this.biasRegularizer),activityRegularizer:ov(this.activityRegularizer),biasConstraint:Cm(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}}class kv extends xv{constructor(e,t){super(e,t),this.kernel=null,kv.verifyArgs(t),this.filters=t.filters,mm(this.filters,"filters"),this.kernelInitializer=Mg(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Nm(t.kernelConstraint),this.kernelRegularizer=uv(t.kernelRegularizer)}build(e){e=ay(e);const t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Yp(`The channel dimension of the input should be defined. Found ${e[t]}`);const n=e[t],r=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",r,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return po((()=>{let t;e=ry(e);const n=null==this.bias?null:this.bias.read(),r=ym(this.activation.getClassName());if(null!=r&&2===this.rank)t=_v(e,this.kernel.read(),n,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(1===this.rank)t=function(e,t,n,r=1,a="valid",s,i=1){return po((()=>{if(null==s&&(s="channelsLast"),Pm(s),3!==e.shape.length)throw new Yp(`The input of a conv1dWithBias operation should be 3, but is ${e.shape.length} instead.`);if(3!==t.shape.length)throw new Yp(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(null!=n&&1!==n.shape.length)throw new Yp(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if("channelsFirst"===s&&(e=gi(e,[0,2,1])),"causal"===a)throw new Jp("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=Jl(e,t,r,"same"===a?"same":"valid","NWC",i);return null!=n&&(o=hg(o,n)),o}))}(e,this.kernel.read(),n,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(2===this.rank)t=_v(e,this.kernel.read(),n,this.strides,this.padding,this.dataFormat,this.dilationRate);else{if(3!==this.rank)throw new Jp("convolutions greater than 3D are not implemented yet.");t=function(e,t,n,r=[1,1,1],a="valid",s,i){return po((()=>{if(null==s&&(s="channelsLast"),Pm(s),4!==e.rank&&5!==e.rank)throw new Yp(`conv3dWithBias expects input to be of rank 4 or 5, but received ${e.rank}.`);if(4!==t.rank&&5!==t.rank)throw new Yp(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${e.rank}.`);let o=wv(e,s);if("causal"===a)throw new Jp("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=eu(o,t,r,"same"===a?"same":"valid","NDHWC",i),null!=n&&(o=hg(o,n)),"channelsFirst"===s&&(o=gi(o,[0,4,1,2,3])),o}))}(e,this.kernel.read(),n,this.strides,this.padding,this.dataFormat,this.dilationRate)}null!=this.activation&&(t=this.activation.apply(t))}return t}))}computeOutputShape(e){e=ay(e);const t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2);for(let e=0;e 0 but got ${JSON.stringify(e.filters)}`)}}class Ev extends kv{constructor(e){super(2,e),Ev.verifyArgs(e)}getConfig(){const e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if("number"!=typeof e.kernelSize&&!pm(e.kernelSize,"number",1,2))throw new Yp(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}}Ev.className="Conv2D",Gi(Ev);class Cv extends kv{constructor(e){super(3,e),Cv.verifyArgs(e)}getConfig(){const e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new Yp(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}}Cv.className="Conv3D",Gi(Cv);class Sv extends Ev{constructor(e){if(super(e),this.inputSpec=[new uy({ndim:4})],"same"!==this.padding&&"valid"!==this.padding)throw new Yp(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(4!==(e=ay(e)).length)throw new Yp("Input should have rank 4; Received input shape: "+JSON.stringify(e));const t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Yp("The channel dimension of the inputs should be defined. Found `None`.");const n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new uy({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return po((()=>{let t=ry(e);if(4!==t.shape.length)throw new Yp(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${t.shape.length}`);const n=t.shape,r=n[0];let a,s;"channelsFirst"===this.dataFormat?(a=2,s=3):(a=1,s=2);const i=n[a],o=n[s],l=this.kernelSize[0],u=this.kernelSize[1],c=this.strides[0],h=this.strides[1],f=[r,bv(i,c,l,this.padding),bv(o,h,u,this.padding),this.filters];"channelsLast"!==this.dataFormat&&(t=gi(t,[0,2,3,1]));let d=Ql(t,this.kernel.read(),f,this.strides,this.padding);return"channelsLast"!==this.dataFormat&&(d=gi(d,[0,3,1,2])),null!=this.bias&&(d=hg(d,this.bias.read(),this.dataFormat)),null!=this.activation&&(d=this.activation.apply(d)),d}))}computeOutputShape(e){const t=(e=ay(e)).slice();let n,r,a;"channelsFirst"===this.dataFormat?(n=1,r=2,a=3):(n=3,r=1,a=2);const s=this.kernelSize[0],i=this.kernelSize[1],o=this.strides[0],l=this.strides[1];return t[n]=this.filters,t[r]=bv(t[r],o,s,this.padding),t[a]=bv(t[a],l,i,this.padding),t}getConfig(){const e=super.getConfig();return delete e.dilationRate,e}}Sv.className="Conv2DTranspose",Gi(Sv);class Nv extends Cv{constructor(e){if(super(e),this.inputSpec=[new uy({ndim:5})],"same"!==this.padding&&"valid"!==this.padding)throw new Yp(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(5!==(e=ay(e)).length)throw new Yp("Input should have rank 5; Received input shape: "+JSON.stringify(e));const t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Yp("The channel dimension of the inputs should be defined. Found `None`.");const n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new uy({ndim:5,axes:{[t]:n}})],this.built=!0}call(e,t){return po((()=>{let t=ry(e);if(5!==t.shape.length)throw new Yp(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${t.shape.length}`);const n=t.shape,r=n[0];let a,s,i;"channelsFirst"===this.dataFormat?(i=2,a=3,s=4):(i=1,a=2,s=3);const o=n[i],l=n[a],u=n[s],c=this.kernelSize[0],h=this.kernelSize[1],f=this.kernelSize[2],d=this.strides[0],p=this.strides[1],m=this.strides[2],g=[r,bv(o,d,c,this.padding),bv(l,p,h,this.padding),bv(u,m,f,this.padding),this.filters];"channelsLast"!==this.dataFormat&&(t=gi(t,[0,2,3,4,1]));let y=nu(t,this.kernel.read(),g,this.strides,this.padding);return"channelsLast"!==this.dataFormat&&(y=gi(y,[0,4,1,2,3])),null!==this.bias&&(y=hg(y,this.bias.read(),this.dataFormat)),null!==this.activation&&(y=this.activation.apply(y)),y}))}computeOutputShape(e){const t=(e=ay(e)).slice();let n,r,a,s;"channelsFirst"===this.dataFormat?(n=1,r=2,a=3,s=4):(n=4,r=1,a=2,s=3);const i=this.kernelSize[0],o=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],c=this.strides[1],h=this.strides[2];return t[n]=this.filters,t[r]=bv(t[r],u,i,this.padding),t[a]=bv(t[a],c,o,this.padding),t[s]=bv(t[s],h,l,this.padding),t}getConfig(){const e=super.getConfig();return delete e.dilationRate,e}}Nv.className="Conv3DTranspose",Gi(Nv);class Iv extends kv{constructor(e,t){if(super(e,t),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,null==t.filters)throw new Yp("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=t.kernelInitializer||null!=t.kernelRegularizer||null!=t.kernelConstraint)throw new Yp("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=t.padding&&"same"!==t.padding&&"valid"!==t.padding)throw new Yp(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,this.depthwiseInitializer=Mg(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=uv(t.depthwiseRegularizer),this.depthwiseConstraint=Nm(t.depthwiseConstraint),this.pointwiseInitializer=Mg(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=uv(t.pointwiseRegularizer),this.pointwiseConstraint=Nm(t.pointwiseConstraint)}build(e){if((e=ay(e)).length{let t;if(e=ry(e),1===this.rank)throw new Jp("1D separable convolution is not implemented yet.");return 2===this.rank&&("channelsFirst"===this.dataFormat&&(e=gi(e,[0,2,3,1])),t=Yc(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(t=hg(t,this.bias.read(),this.dataFormat)),null!=this.activation&&(t=this.activation.apply(t)),"channelsFirst"===this.dataFormat&&(t=gi(t,[0,3,1,2])),t}))}getConfig(){const e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Og(this.depthwiseInitializer),e.pointwiseInitializer=Og(this.pointwiseInitializer),e.depthwiseRegularizer=ov(this.depthwiseRegularizer),e.pointwiseRegularizer=ov(this.pointwiseRegularizer),e.depthwiseConstraint=Cm(this.depthwiseConstraint),e.pointwiseConstraint=Cm(this.pointwiseConstraint),e}}Iv.className="SeparableConv";class Av extends Iv{constructor(e){super(2,e)}}Av.className="SeparableConv2D",Gi(Av);class Dv extends kv{constructor(e){super(1,e),Dv.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){const e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if("number"!=typeof e.kernelSize&&!pm(e.kernelSize,"number",1,1))throw new Yp(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}}Dv.className="Conv1D",Gi(Dv);class Tv extends py{constructor(e){super(e),"number"==typeof e.cropping?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"==typeof e.cropping[0]?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return po((()=>{if(e=ry(e),"channelsLast"===this.dataFormat){const t=ng(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return ng(t,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}{const t=ng(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return ng(t,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}}))}getConfig(){const e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}Tv.className="Cropping2D",Gi(Tv);class Fv extends py{constructor(e){var t;super(e),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=null==e.size?this.DEFAULT_SIZE:e.size,this.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Pm(this.dataFormat),this.interpolation=null==e.interpolation?"nearest":e.interpolation,t=this.interpolation,dm(Rm,"InterpolationFormat",t)}computeOutputShape(e){if("channelsFirst"===this.dataFormat){const t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}{const t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return po((()=>{let t=ry(e);const n=t.shape;if("channelsFirst"===this.dataFormat){t=gi(t,[0,2,3,1]);const e=this.size[0]*n[2],r=this.size[1]*n[3],a="nearest"===this.interpolation?t.resizeNearestNeighbor([e,r]):t.resizeBilinear([e,r]);return gi(a,[0,3,1,2])}{const e=this.size[0]*n[1],r=this.size[1]*n[2];return"nearest"===this.interpolation?t.resizeNearestNeighbor([e,r]):t.resizeBilinear([e,r])}}))}getConfig(){const e={size:this.size,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}Fv.className="UpSampling2D",Gi(Fv);class Rv extends xv{constructor(e){super(2,e),this.depthwiseKernel=null,this.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,this.depthwiseInitializer=Mg(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Nm(e.depthwiseConstraint),this.depthwiseRegularizer=uv(e.depthwiseRegularizer)}build(e){if((e=ay(e)).length<4)throw new Yp(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);const t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new Yp(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);const n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return po((()=>{let t=function(e,t,n=[1,1],r="valid",a,s){return po((()=>{null==a&&(a="channelsLast"),Pm(a);let i=vv(e,a);if(4!==e.rank)throw new Yp(`Input for depthwiseConv2d is required to be 4-D, but is instead ${e.rank}-D`);if(4!==t.rank)throw new Yp(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=lu(i,t,n,"same"===r?"same":"valid","NHWC",s),"channelsFirst"===a&&(i=gi(i,[0,3,1,2])),i}))}(e=ry(e),this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(t=hg(t,this.bias.read(),this.dataFormat)),null!=this.activation&&(t=this.activation.apply(t)),t}))}computeOutputShape(e){e=ay(e);const t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=yv(t,this.kernelSize[0],this.padding,this.strides[0]),s=yv(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,s]:[e[0],a,s,r]}getConfig(){const e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Og(this.depthwiseInitializer),e.depthwiseRegularizer=ov(this.depthwiseRegularizer),e.depthwiseConstraint=Cm(this.depthwiseRegularizer),e}}function Ov(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new Yp("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function Mv(e,t,n,r=!1,a,s,i=!1,o=!1){return po((()=>{const l=t.shape.length;if(l<3)throw new Yp(`Input should be at least 3D, but is ${l}D.`);const u=[1,0].concat(Jm(2,l));if(t=gi(t,u),null!=s)throw new Jp("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=a.asType("bool").asType("float32")).rank===l-1&&(a=vu(a,-1)),a=gi(a,u)),r&&(t=Uc(t,0),null!=a&&(a=Uc(a,0)));const c=[];let h,f=n;const d=t.shape[0],p=Sh(t);let m,g;null!=a&&(m=Sh(a));for(let t=0;te(n,f)));if(null==a)h=r[0],f=r[1];else{const e=po((()=>{const e=m[t],n=bc(e).sub(e);return{output:r[0].mul(e).add(f[0].mul(n)),newStates:f.map(((t,a)=>r[1][a].mul(e).add(t.mul(n))))}}));h=e.output,f=e.newStates}o&&c.push(h)}return o&&(g=dh(c,1)),[h,g,f]}))}Rv.className="DepthwiseConv2D",Gi(Rv);class Bv extends py{constructor(e){let t;if(super(e),null==e.cell)throw new Yp("cell property is missing for the constructor of RNN.");if(t=Array.isArray(e.cell)?new jv({cells:e.cell}):e.cell,null==t.stateSize)throw new Yp("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=null!=e.returnSequences&&e.returnSequences,this.returnState=null!=e.returnState&&e.returnState,this.goBackwards=null!=e.goBackwards&&e.goBackwards,this._stateful=null!=e.stateful&&e.stateful,this.unroll=null!=e.unroll&&e.unroll,this.supportsMasking=!0,this.inputSpec=[new uy({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){return null==this.states_?Jm(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((e=>null)):this.states_}setStates(e){this.states_=e}computeOutputShape(e){ty(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);const n=t[0];let r;if(r=this.returnSequences?[e[0],e[1],n]:[e[0],n],this.returnState){const n=[];for(const r of t)n.push([e[0],r]);return[r].concat(n)}return r}computeMask(e,t){return po((()=>{Array.isArray(t)&&(t=t[0]);const e=this.returnSequences?t:null;if(this.returnState){const t=this.states.map((e=>null));return[e].concat(t)}return e}))}get states(){if(null==this.states_){const e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ne.shape[e.shape.length-1])),a))throw new Yp(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=a.map((e=>new uy({shape:[null,e]})));this.stateful&&this.resetStates()}resetStates(e,t=!1){po((()=>{if(!this.stateful)throw new Kp("Cannot call resetStates() on an RNN Layer that is not stateful.");const n=this.inputSpec[0].shape[0];if(null==n)throw new Yp("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==this.states_)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map((e=>oc([n,e]))):this.states_=[oc([n,this.cell.stateSize])];else if(null==e)mo(this.states_),null!=this.keptStates&&(mo(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map((e=>oc([n,e]))):this.states_[0]=oc([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new Yp(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);!0===t?this.keptStates.push(this.states_.slice()):mo(this.states_);for(let t=0;tgo(e.clone())))}))}apply(e,t){let n=null==t?null:t.initialState,r=null==t?null:t.constants;null==t&&(t={});const a=Ov(e,n,r,this.numConstants);e=a.inputs,n=a.initialState,r=a.constants;let s=[],i=[];if(null!=n){t.initialState=n,s=s.concat(n),this.stateSpec=[];for(const e of n)this.stateSpec.push(new uy({shape:e.shape}));i=i.concat(this.stateSpec)}if(null!=r&&(t.constants=r,s=s.concat(r),this.numConstants=r.length),s[0]instanceof cy){const n=[e].concat(s),r=this.inputSpec.concat(i),a=this.inputSpec;this.inputSpec=r;const o=super.apply(n,t);return this.inputSpec=a,o}return super.apply(e,t)}call(e,t){return po((()=>{const n=null==t?null:t.mask,r=null==t?null:t.training;let a=null==t?null:t.initialState;e=ry(e),null==a&&(a=this.stateful?this.states_:this.getInitialState(e));const s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(a.length!==s)throw new Yp(`RNN Layer has ${s} state(s) but was passed ${a.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");const i={training:r},o=Mv(((e,t)=>{const n=this.cell.call([e].concat(t),i);return[n[0],n.slice(1)]}),e,a,this.goBackwards,n,null,this.unroll,this.returnSequences),l=o[0],u=o[1],c=o[2];this.stateful&&this.resetStates(c,r);const h=this.returnSequences?u:l;return this.returnState?[h].concat(c):h}))}getInitialState(e){return po((()=>{let t=oc(e.shape);return t=Uu(t,[1,2]),t=Qm(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map((e=>e>1?sg(t,[1,e]):t)):this.cell.stateSize>1?[sg(t,[1,this.cell.stateSize])]:[t]}))}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){const e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);const n=this.cell.getConfig();return this.getClassName()===Bv.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign({},n,e,t)}static fromConfig(e,t,n={}){const r=Ay(t.cell,n);return new e(Object.assign(t,{cell:r}))}}Bv.className="RNN",Gi(Bv);class $v extends py{}class Pv extends $v{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,mm(this.units,"units"),this.activation=nv(null==e.activation?this.DEFAULT_ACTIVATION:e.activation),this.useBias=null==e.useBias||e.useBias,this.kernelInitializer=Mg(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Mg(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Mg(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=uv(e.kernelRegularizer),this.recurrentRegularizer=uv(e.recurrentRegularizer),this.biasRegularizer=uv(e.biasRegularizer),this.kernelConstraint=Nm(e.kernelConstraint),this.recurrentConstraint=Nm(e.recurrentConstraint),this.biasConstraint=Nm(e.biasConstraint),this.dropout=qm([1,Ym([0,null==e.dropout?0:e.dropout])]),this.recurrentDropout=qm([1,Ym([0,null==e.recurrentDropout?0:e.recurrentDropout])]),this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=ay(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return po((()=>{if(2!==(e=e).length)throw new Yp(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];const r=null!=t.training&&t.training;let a;0bc(e),rate:this.dropout,training:r})),0bc(n),rate:this.recurrentDropout,training:r}));const s=this.dropoutMask,i=this.recurrentDropoutMask;a=og(null!=s?Do(e,s):e,this.kernel.read()),null!=this.bias&&(a=hg(a,this.bias.read())),null!=i&&(n=Do(n,i));let o=No(a,og(n,this.recurrentKernel.read()));return null!=this.activation&&(o=this.activation.apply(o)),[o,o]}))}getConfig(){const e=super.getConfig(),t={units:this.units,activation:ev(this.activation),useBias:this.useBias,kernelInitializer:Og(this.kernelInitializer),recurrentInitializer:Og(this.recurrentInitializer),biasInitializer:Og(this.biasInitializer),kernelRegularizer:ov(this.kernelRegularizer),recurrentRegularizer:ov(this.recurrentRegularizer),biasRegularizer:ov(this.biasRegularizer),activityRegularizer:ov(this.activityRegularizer),kernelConstraint:Cm(this.kernelConstraint),recurrentConstraint:Cm(this.recurrentConstraint),biasConstraint:Cm(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},e,t)}}Pv.className="SimpleRNNCell",Gi(Pv);class Lv extends Bv{constructor(e){e.cell=new Pv(e),super(e)}call(e,t){return po((()=>{null!=this.cell.dropoutMask&&(mo(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(mo(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const n=null==t?null:t.mask,r=null==t?null:t.training,a=null==t?null:t.initialState;return super.call(e,{mask:n,training:r,initialState:a})}))}static fromConfig(e,t){return new e(t)}}Lv.className="SimpleRNN",Gi(Lv);class zv extends $v{constructor(e){if(super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new Yp("GRUCell does not support reset_after parameter set to true.");this.units=e.units,mm(this.units,"units"),this.activation=nv(void 0===e.activation?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=nv(void 0===e.recurrentActivation?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=null==e.useBias||e.useBias,this.kernelInitializer=Mg(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Mg(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Mg(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=uv(e.kernelRegularizer),this.recurrentRegularizer=uv(e.recurrentRegularizer),this.biasRegularizer=uv(e.biasRegularizer),this.kernelConstraint=Nm(e.kernelConstraint),this.recurrentConstraint=Nm(e.recurrentConstraint),this.biasConstraint=Nm(e.biasConstraint),this.dropout=qm([1,Ym([0,null==e.dropout?0:e.dropout])]),this.recurrentDropout=qm([1,Ym([0,null==e.recurrentDropout?0:e.recurrentDropout])]),this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){const t=(e=ay(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return po((()=>{if(2!==(e=e).length)throw new Yp(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);const n=null!=t.training&&t.training;let r=e[1];e=e[0],0bc(e),rate:this.dropout,training:n,count:3})),0bc(r),rate:this.recurrentDropout,training:n,count:3}));const a=this.dropoutMask,s=this.recurrentDropoutMask;let i,o,l;0{null!=this.cell.dropoutMask&&(mo(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(mo(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const n=null==t?null:t.mask,r=null==t?null:t.training,a=null==t?null:t.initialState;return super.call(e,{mask:n,training:r,initialState:a})}))}static fromConfig(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}Wv.className="GRU",Gi(Wv);class Uv extends $v{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,mm(this.units,"units"),this.activation=nv(void 0===e.activation?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=nv(void 0===e.recurrentActivation?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=null==e.useBias||e.useBias,this.kernelInitializer=Mg(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Mg(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Mg(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=uv(e.kernelRegularizer),this.recurrentRegularizer=uv(e.recurrentRegularizer),this.biasRegularizer=uv(e.biasRegularizer),this.kernelConstraint=Nm(e.kernelConstraint),this.recurrentConstraint=Nm(e.recurrentConstraint),this.biasConstraint=Nm(e.biasConstraint),this.dropout=qm([1,Ym([0,null==e.dropout?0:e.dropout])]),this.recurrentDropout=qm([1,Ym([0,null==e.recurrentDropout?0:e.recurrentDropout])]),this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;const n=(e=ay(e))[e.length-1];let r;if(this.kernel=this.addWeight("kernel",[n,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){const e=this.biasInitializer,n=this.units;r=new((t=class extends gg{apply(t,r){const a=e.apply([n]),s=(new bg).apply([n]),i=e.apply([2*n]);return ag(ag(a,s),i)}}).className="CustomInit",t)}else r=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,r,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return po((()=>{const n=null!=t.training&&t.training;if(3!==(e=e).length)throw new Yp(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let r=e[1];const a=e[2];e=e[0],0bc(e),rate:this.dropout,training:n,count:4})),0bc(r),rate:this.recurrentDropout,training:n,count:4}));const s=this.dropoutMask,i=this.recurrentDropoutMask;let o,l,u,c;0{null!=this.cell.dropoutMask&&(mo(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(mo(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const n=null==t?null:t.mask,r=null==t?null:t.training,a=null==t?null:t.initialState;return super.call(e,{mask:n,training:r,initialState:a})}))}static fromConfig(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}Vv.className="LSTM",Gi(Vv);class jv extends $v{constructor(e){super(e),this.cells=e.cells}get stateSize(){const e=[];for(const t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return po((()=>{let n=(e=e).slice(1);const r=[];for(const e of this.cells.slice().reverse())Array.isArray(e.stateSize)?r.push(n.splice(0,e.stateSize.length)):r.push(n.splice(0,1));r.reverse();const a=[];let s;for(let i=0;i{Um(`RNNCell_${r}`,(()=>{n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0}getConfig(){const e=super.getConfig(),t={cells:this.cells.map((e=>({className:e.getClassName(),config:e.getConfig()})))};return Object.assign({},e,t)}static fromConfig(e,t,n={}){const r=[];for(const e of t.cells)r.push(Ay(e,n));return new e({cells:r})}get trainableWeights(){if(!this.trainable)return[];const e=[];for(const t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){const e=[];for(const t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){const t=[];for(const e of this.cells)t.push(...e.trainableWeights);return t.concat(e)}return e}getWeights(){const e=[];for(const t of this.cells)e.push(...t.weights);return oy(e)}setWeights(e){const t=[];for(const n of this.cells){const r=n.weights.length,a=e.splice(r);for(let e=0;efg(t(),n),i=()=>dg(s,t,r);return!a||a<=1?go(i().clone()):Array(a).fill(void 0).map(i).map((e=>go(e.clone())))}jv.className="StackedRNNCells",Gi(jv);class Gv extends Bv{constructor(e){if(e.unroll)throw new Jp("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new Jp("It is not possible at the moment to stack convolutional cells.");super(e),this.inputSpec=[new uy({ndim:5})]}call(e,t){return po((()=>{if(null!=this.cell.dropoutMask&&(mo(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(mo(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new Yp("ConvRNN2D cell does not support constants");const n=null==t?null:t.mask,r=null==t?null:t.training,a=null==t?null:t.initialState;return super.call(e,{mask:n,training:r,initialState:a})}))}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return po((()=>{const{stateSize:t}=this.cell,n=e.shape,r=this.computeSingleOutputShape(n),a=oc([r[0],...r.slice(2)]);return Array.isArray(t)?Array(t.length).fill(a):[a]}))}resetStates(e,t=!1){po((()=>{if(!this.stateful)throw new Kp("Cannot call resetStates() on an RNN Layer that is not stateful.");const n=this.inputSpec[0].shape,r=this.computeSingleOutputShape(n),a=[r[0],...r.slice(2)];if(null==n[0])throw new Yp("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==this.getStates())Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map((()=>oc(a))):this.states_=[oc(a)];else if(null==e)mo(this.states_),null!=this.keptStates&&(mo(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map((()=>oc(a))):this.states_[0]=oc(a);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new Yp(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):mo(this.states_);for(let t=0;tgo(e.clone())))}))}computeSingleOutputShape(e){const{dataFormat:t,filters:n,kernelSize:r,padding:a,strides:s,dilationRate:i}=this.cell,o="channelsFirst"===t,l=e[o?3:2],u=e[o?4:3],c=yv(l,r[0],a,s[0],i[0]),h=yv(u,r[1],a,s[1],i[1]);return[...e.slice(0,2),...o?[n,c,h]:[c,h,n]]}}Gv.className="ConvRNN2D";class Xv extends Uv{constructor(e){const{filters:t,kernelSize:n,strides:r,padding:a,dataFormat:s,dilationRate:i}=e;super(Object.assign({},e,{units:t})),this.filters=t,mm(this.filters,"filters"),this.kernelSize=gv(n,2,"kernelSize"),this.kernelSize.forEach((e=>mm(e,"kernelSize"))),this.strides=gv(r||1,2,"strides"),this.strides.forEach((e=>mm(e,"strides"))),this.padding=a||"valid",Lm(this.padding),this.dataFormat=s||"channelsLast",Pm(this.dataFormat),this.dilationRate=gv(i||1,2,"dilationRate"),this.dilationRate.forEach((e=>mm(e,"dilationRate")))}build(e){var t;e=ay(e);const n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new Yp(`The channel dimension of the input should be defined. Found ${e[n]}`);const r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);const s=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",s,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let e;if(this.unitForgetBias){const n=this.biasInitializer,r=this.filters;e=new((t=class extends gg{apply(e,t){return rg([n.apply([r]),lc([r]),n.apply([2*r])])}}).className="CustomInit",t)}else e=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,e,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return po((()=>{if(3!==e.length)throw new Yp(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);const n=t.training||!1,r=e[0],a=e[1],s=e[2];0bc(r),rate:this.dropout,training:n,count:4}));const i=this.dropoutMask,o=(e,t,n)=>t&&t[n]?Do(t[n],e):e;let l=o(r,i,0),u=o(r,i,1),c=o(r,i,2),h=o(r,i,3);0bc(a),rate:this.recurrentDropout,training:n,count:4}));const f=this.recurrentDropoutMask;let d=o(a,f,0),p=o(a,f,1),m=o(a,f,2),g=o(a,f,3);const[y,b,v,w]=uh(this.kernel.read(),4,3),[_,x,k,E]=this.useBias?uh(this.bias.read(),4):[null,null,null,null];l=this.inputConv(l,y,_,this.padding),u=this.inputConv(u,b,x,this.padding),c=this.inputConv(c,v,k,this.padding),h=this.inputConv(h,w,E,this.padding);const[C,S,N,I]=uh(this.recurrentKernel.read(),4,3);d=this.recurrentConv(d,C),p=this.recurrentConv(p,S),m=this.recurrentConv(m,N),g=this.recurrentConv(g,I);const A=this.recurrentActivation.apply(No(l,d)),D=this.recurrentActivation.apply(No(u,p)),T=No(Do(D,s),Do(A,this.activation.apply(No(c,m)))),F=Do(this.recurrentActivation.apply(No(h,g)),this.activation.apply(T));return[F,F,T]}))}getConfig(){const e=super.getConfig(),{units:t}=e,n=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var a=0;for(r=Object.getOwnPropertySymbols(e);a{this.invokeCallHook(e,t);const n=ry(e);if(0fg(n,this.rate,r,this.seed)),(()=>n),e)}return e}))}getConfig(){const e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}}qv.className="Dropout",Gi(qv);class Yv extends qv{constructor(e){super(e),this.inputSpec=[{ndim:3}]}getNoiseShape(e){const t=e.shape;return[t[0],1,t[2]]}}Yv.className="SpatialDropout1D",Gi(Yv);class Jv extends py{constructor(e){if(super(e),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){let t=null;null!=e.batchSize&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,mm(this.units,"units"),this.activation=nv(e.activation),null!=e.useBias&&(this.useBias=e.useBias),this.kernelInitializer=Mg(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=Mg(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Nm(e.kernelConstraint),this.biasConstraint=Nm(e.biasConstraint),this.kernelRegularizer=uv(e.kernelRegularizer),this.biasRegularizer=uv(e.biasRegularizer),this.activityRegularizer=uv(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){const t=(e=ay(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){const t=(e=ay(e)).slice();return t[t.length-1]=this.units,t}call(e,t){return po((()=>{this.invokeCallHook(e,t);const n=ry(e),r=ym(this.activation.getClassName());let a;return null!=r?a=og(n,this.kernel.read(),r,this.bias?this.bias.read():null):(a=og(n,this.kernel.read()),null!=this.bias&&(a=hg(a,this.bias.read())),null!=this.activation&&(a=this.activation.apply(a))),a}))}getConfig(){const e={units:this.units,activation:ev(this.activation),useBias:this.useBias,kernelInitializer:Og(this.kernelInitializer),biasInitializer:Og(this.biasInitializer),kernelRegularizer:ov(this.kernelRegularizer),biasRegularizer:ov(this.biasRegularizer),activityRegularizer:ov(this.activityRegularizer),kernelConstraint:Cm(this.kernelConstraint),biasConstraint:Cm(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}}Jv.className="Dense",Gi(Jv);class Zv extends py{constructor(e){super(e=e||{}),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=ay(e);for(const t of e.slice(1))if(null==t)throw new Yp(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],Xm(e,1)]}call(e,t){return po((()=>{this.invokeCallHook(e,t);let n=ry(e);if("channelsFirst"===this.dataFormat&&n.rank>1){const e=[0];for(let t=2;t{this.invokeCallHook(e,t);const n=ry(e);return this.activation.apply(n)}))}getConfig(){const e={activation:ev(this.activation)},t=super.getConfig();return Object.assign(e,t),e}}Qv.className="Activation",Gi(Qv);class ew extends py{constructor(e){super(e),this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return po((()=>{return e=ry(e),t=e,n=this.n,po((()=>{if(2!==t.shape.length)throw new Yp(`repeat() expects a rank-2 tensor, but received a rank-${t.shape.length} tensor.`);return sg(Qm(t,1),[1,n,1])}));var t,n}))}getConfig(){const e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}}ew.className="RepeatVector",Gi(ew);class tw extends py{constructor(e){super(e),this.targetShape=e.targetShape;for(let e=0;e{this.invokeCallHook(e,t);const n=ry(e),r=n.shape,a=r.slice(0,1).concat(this.fixUnknownDimension(r.slice(1),this.targetShape));return n.reshape(a)}))}getConfig(){const e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}}tw.className="Reshape",Gi(tw);class nw extends py{constructor(e){if(super(e),null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);const t=Jm(1,e.dims.length+1);if(!se(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new uy({ndim:this.dims.length+1})]}computeOutputShape(e){const t=(e=ay(e)).slice();return this.dims.forEach(((n,r)=>{t[r+1]=e[n]})),t}call(e,t){return gi(ry(e),this.dimsIncludingBatch)}getConfig(){const e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}}nw.className="Permute",Gi(nw);class rw extends py{constructor(e){super(null==e?{}:e),this.supportsMasking=!0,this.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0}computeOutputShape(e){return e}getConfig(){const e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){const n=ry(e);return ll(yc(n,this.maskValue),-1)}call(e,t){return po((()=>{this.invokeCallHook(e,t);const n=ry(e),r=ll(yc(n,this.maskValue),-1,!0);return n.mul(r.asType(n.dtype))}))}}rw.className="Masking",Gi(rw);class aw extends py{constructor(e){if(super(e),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){let t=null;null!=e.batchSize&&(t=e.batchSize),null==e.inputLength?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(rm(e.inputLength))}this.inputDim=e.inputDim,mm(this.inputDim,"inputDim"),this.outputDim=e.outputDim,mm(this.outputDim,"outputDim"),this.embeddingsInitializer=Mg(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=uv(e.embeddingsRegularizer),this.activityRegularizer=uv(e.activityRegularizer),this.embeddingsConstraint=Nm(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return po((()=>this.maskZero?(e=ry(e),yc(e,Ro(e))):null))}computeOutputShape(e){if(e=ay(e),null==this.inputLength)return[...e,this.outputDim];const t=rm(this.inputLength);if(t.length!==e.length-1)throw new Yp(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let r=0;r{this.invokeCallHook(e,t);let n=ry(e);return"int32"!==n.dtype&&(n=Zm(n,"int32")),lg(this.embeddings.read(),n.as1D()).reshape(ay(this.computeOutputShape(n.shape)))}))}getConfig(){const e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Og(this.embeddingsInitializer),embeddingsRegularizer:ov(this.embeddingsRegularizer),activityRegularizer:ov(this.activityRegularizer),embeddingsConstraint:Cm(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}}aw.className="Embedding",Gi(aw);class sw extends py{constructor(e){super(e||{}),this.supportsMasking=!0}mergeFunction(e){throw new Jp}computeElementwiseOpOutputShape(e,t){if(null==e||null==t)return null;if(e.length1)throw new Yp(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=null==e[0]?null:e[0].slice(1);for(let t=1;te.length));-1===e.indexOf(null)&&1===hm(r).length?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return po((()=>{if(e=e,this.reshapeRequired){const t=[],n=e.map((e=>e.rank));if(-1===n.indexOf(null)){const r=Ym(n);for(let n of e){const e=n.rank;for(let t=0;t1){const a=Jm(1,e).concat([0]);t.push(gi(r,a)),n=!0}else t.push(r)}let r=this.mergeFunction(t);const a=r.rank;if(n)if(null==a){const e=r.shape,t=e[e.length-1],n=[t].concat(e.slice(0,e.length-1));r=gi(r.reshape([-1,t]),[1,0]).reshape(n)}else if(a>1){const e=[a-1].concat(Jm(0,a-1));r=gi(r,e)}return r}}return this.mergeFunction(e)}))}computeOutputShape(e){let t;t=null==(e=e)[0]?null:e[0].slice(1);for(let n=1;n{if(null==t)return null;if(!Array.isArray(t))throw new Yp("`mask` should be an Array");if(!Array.isArray(e))throw new Yp("`inputs` should be an Array");if(t.length!==e.length)throw new Yp(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every((e=>null==e)))return null;let n=(t=t.map((e=>null==e?e:vu(e,0))))[0];for(let e=1;e{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0];for(let n=1;n{let t=e[0];for(let n=1;n1)throw new Yp("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return po((()=>rg(e,this.axis)))}computeOutputShape(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new Yp("A `Concatenate` layer should be called on a list of inputs.");const t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis;for(const e of t.slice(1)){if(null==n[r]||null==e[r]){n[r]=null;break}n[r]+=e[r]}return n}computeMask(e,t){if(null==t)return null;if(!Array.isArray(t))throw new Yp("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new Yp("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new Yp(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return po((()=>{let n=!0;if(t.forEach((e=>{null==e||(n=!1)})),n)return null;const r=[];for(let n=0;n"A `Dot` layer should be called on a list of exactly 2 inputs."));const t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Jp("Dot layer does not support tensors of 4D or higher rank yet.");const r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new Yp(`Dimension incompatibility: ${t[r[0]]} !== ${n[r[1]]}`)}mergeFunction(e){if(2!==e.length)throw new Yp(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map(((t,n)=>fw(t,e[n].shape.length))):[fw(this.axes,n.shape.length),fw(this.axes,r.shape.length)],this.normalize&&(n=Dy(n,t[0]),r=Dy(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new Jp("batchDot is not implemented for tensors of 4D or higher rank yet");if(Q(e.shape.length>=2,(()=>`batchDot requires the rank of x to be >= 2, but got ${e.shape.length}`)),Q(e.shape.length>=2,(()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`)),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new Jp("batchDot is not implemented for complex64-type Tensors yet.");const r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);const s=n;return po((()=>{let n,i;if(r>a){n=r-a;const e=[];for(let t=0;tr){n=a-r;const t=[];for(let e=0;e0){let e;e=r>a?r+a-3:r-1;const t=[];for(let r=e;r"A `Dot` layer should be called on a list of exactly 2 inputs."));const t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Jp("Dot layer does not support tensors of 4D or higher rank yet.");const r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);const a=t.concat(n);return 1===a.length&&a.push(1),a}computeMask(e,t){return null}getConfig(){const e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}}dw.className="Dot",Gi(dw);class pw extends py{constructor(e){super(e),this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){const e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return po((()=>{this.invokeCallHook(e,t);const n=ry(e);return dg((()=>ig(n.shape,0,this.stddev).add(n)),(()=>n),t.training||!1)}))}}pw.className="GaussianNoise",Gi(pw);class mw extends py{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){const e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return po((()=>{this.invokeCallHook(e,t);const n=ry(e);return this.rate>0&&this.rate<1?dg((()=>{const e=Math.sqrt(this.rate/(1-this.rate));return n.mul(ig(n.shape,1,e))}),(()=>n),t.training||!1):n}))}}mw.className="GaussianDropout",Gi(mw);class gw extends py{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||ry(e).shape}computeOutputShape(e){return e}getConfig(){const e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return po((()=>{if(this.rate<1&&this.rate>0){const n=this._getNoiseShape(e);return dg((()=>{const t=ry(e),r=-1.7580993408473766;let a=Su(Bc(n),this.rate);a=Zm(a,"float32");const s=((1-this.rate)*(1+this.rate*r**2))**-.5,i=-s*r*this.rate;return t.mul(a).add(a.add(-1).mul(r)).mul(s).add(i)}),(()=>ry(e)),t.training||!1)}return e}))}}function yw(e,t,n,r,a,s=.001){let i;if(2===e.rank)i=Ll(e,t,n,r,a,s);else if(3===e.rank)i=zl(e,t,n,r,a,s);else{if(4!==e.rank)throw new Jp(`batchNormalization is not implemented for array of rank ${e.rank} yet`);i=Wl(e,t,n,r,a,s)}return i}gw.className="AlphaDropout",Gi(gw);class bw extends py{constructor(e){null==e&&(e={}),super(e),this.supportsMasking=!0,this.axis=null==e.axis?-1:e.axis,this.momentum=null==e.momentum?.99:e.momentum,this.epsilon=null==e.epsilon?.001:e.epsilon,this.center=null==e.center||e.center,this.scale=null==e.scale||e.scale,this.betaInitializer=Mg(e.betaInitializer||"zeros"),this.gammaInitializer=Mg(e.gammaInitializer||"ones"),this.movingMeanInitializer=Mg(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=Mg(e.movingVarianceInitializer||"ones"),this.betaConstraint=Nm(e.betaConstraint),this.gammaConstraint=Nm(e.gammaConstraint),this.betaRegularizer=uv(e.betaRegularizer),this.gammaRegularizer=uv(e.gammaRegularizer)}build(e){e=ay(e);const t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new Yp(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new uy({ndim:e.length,axes:{[t]:n}})];const r=[n];this.scale&&(this.gamma=this.addWeight("gamma",r,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",r,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",r,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",r,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return po((()=>{const n=null!=t.training&&t.training,r=ry(e),a=r.shape,s=a.length,i=Jm(0,s),o=this.axis>=0?this.axis:this.axis+s;i.splice(o,1);const l=Qp(1,s);l[o]=a[o];const u=i.slice();u.sort();const c=!se(u,Jm(0,s).slice(0,s-1));if(!n)return(()=>{if(c){const e=this.movingMean.read().reshape(l),t=this.movingVariance.read().reshape(l),n=this.center?this.beta.read().reshape(l):null,a=this.scale?this.gamma.read().reshape(l):null;return yw(r,e,t,n,a,this.epsilon)}return yw(r,this.movingMean.read(),this.movingVariance.read(),null==this.beta?null:this.beta.read(),null==this.gamma?null:this.gamma.read(),this.epsilon)})();const[h,f,d]=function(e,t,n,r,a=.001){return se(r.slice().sort(),Jm(0,e.rank-1))?function(e,t,n,r,a=.001){return po((()=>{const s=pc(e,r),i=s.mean,o=s.variance;return[yw(e,i,o,n,t,a),i,o]}))}(e,t,n,r,a):function(e,t,n,r,a=.001){return po((()=>{const s=pc(e,r),i=s.mean,o=s.variance,l=[];for(const t of Jm(0,e.rank))-1!==r.indexOf(t)?l.push(1):l.push(e.shape[t]);const u=i.reshape(l),c=o.reshape(l),h=null==t?null:t.reshape(l),f=null==n?null:n.reshape(l);return[yw(e,u,c,f,h,a),i,o]}))}(e,t,n,r,a)}(r,this.gamma.read(),this.beta.read(),i,this.epsilon),p=(e,t,n)=>{po((()=>{const r=1-n,a=e.read(),s=a.sub(t).mul(r);e.write(a.sub(s))}))};return(()=>{p(this.movingMean,f,this.momentum),p(this.movingVariance,d,this.momentum)})(),h}))}getConfig(){const e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Og(this.betaInitializer),gammaInitializer:Og(this.gammaInitializer),movingMeanInitializer:Og(this.movingMeanInitializer),movingVarianceInitializer:Og(this.movingVarianceInitializer),betaRegularizer:ov(this.betaRegularizer),gammaRegularizer:ov(this.gammaRegularizer),betaConstraint:Cm(this.betaConstraint),gammaConstraint:Cm(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}}bw.className="BatchNormalization",Gi(bw);class vw extends py{constructor(e){if(null==e&&(e={}),super(e),this.axis=null==e.axis?-1:e.axis,"number"==typeof this.axis){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else{if(!Array.isArray(this.axis))throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);for(const e of this.axis)if(!Number.isInteger(e))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}this.epsilon=null==e.epsilon?.001:e.epsilon,this.center=null==e.center||e.center,this.scale=null==e.scale||e.scale,this.betaInitializer=Mg(e.betaInitializer||"zeros"),this.gammaInitializer=Mg(e.gammaInitializer||"ones"),this.betaRegularizer=uv(e.betaRegularizer),this.gammaRegularizer=uv(e.gammaRegularizer),this.supportsMasking=!0}build(e){const t=(e=ay(e)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(let e=0;e=t)throw new Error(`Invalid axis: ${e}`);if(this.axis.length!==hm(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);const n=this.axis.map((t=>e[t]));this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0}call(e,t){const n=ry(e),r=n.shape,a=r.length;return po((()=>{let{mean:e,variance:t}=pc(n,this.axis,!0);const s=Qp(1,a);for(const e of this.axis)s[e]=r[e];const i=e=>null!=e&&e.shape.length!==a&&this.axis!==[a-1]?e.reshape(s):e;let o=i(this.gamma.read()),l=i(this.beta.read());const u=[],c=[];for(let e=0;e=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])}call(e,t){return po((()=>{return t=ry(e),n=this.padding,r=this.dataFormat,po((()=>{if(4!==t.rank)throw new Yp(`temporalPadding expects input tensor to be 4-D, but received a ${t.rank}-D tensor.`);if(null==n&&(n=[[1,1],[1,1]]),2!==n.length||2!==n[0].length||2!==n[1].length)throw new Yp("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==r&&(r="channelsLast"),"channelsLast"!==r&&"channelsFirst"!==r)throw new Yp(`Unknown data format: ${r}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let e;return e="channelsFirst"===r?[[0,0],[0,0],n[0],n[1]]:[[0,0],n[0],n[1],[0,0]],wc(t,e)}));var t,n,r}))}getConfig(){const e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}function _w(e,t,n,r,a,s){return po((()=>{let i;Pm(a),zm(s),Lm(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==s&&(s="max"),e=vv(e,a);const o="same"===r?"same":"valid";return i="max"===s?rc(e,t,n,o):Dl(e,t,n,o),"channelsFirst"===a&&(i=gi(i,[0,3,1,2])),i}))}function xw(e,t,n,r,a,s){return po((()=>{let i;Pm(a),zm(s),Lm(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==s&&(s="max"),e=wv(e,a);const o="same"===r?"same":"valid";return i="max"===s?ac(e,t,n,o):Tl(e,t,n,o),"channelsFirst"===a&&(i=gi(i,[0,4,1,2,3])),i}))}ww.className="ZeroPadding2D",Gi(ww);class kw extends py{constructor(e){if(null==e.poolSize&&(e.poolSize=2),super(e),"number"==typeof e.poolSize)this.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!=typeof e.poolSize[0])throw new Yp(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);this.poolSize=e.poolSize}if(mm(this.poolSize,"poolSize"),null==e.strides)this.strides=this.poolSize;else if("number"==typeof e.strides)this.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!=typeof e.strides[0])throw new Yp(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);this.strides=e.strides}mm(this.strides,"strides"),this.padding=null==e.padding?"valid":e.padding,Lm(this.padding),this.inputSpec=[new uy({ndim:3})]}computeOutputShape(e){const t=yv((e=ay(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return po((()=>{this.invokeCallHook(e,t),e=Qm(ry(e),2);const n=this.poolingFunction(ry(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return fh(n,[2])}))}getConfig(){const e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}}class Ew extends kw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),_w(e,t,n,r,a,"max")}}Ew.className="MaxPooling1D",Gi(Ew);class Cw extends kw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),_w(e,t,n,r,a,"avg")}}Cw.className="AveragePooling1D",Gi(Cw);class Sw extends py{constructor(e){if(null==e.poolSize&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new Yp(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];mm(this.poolSize,"poolSize"),mm(this.strides,"strides"),this.padding=null==e.padding?"valid":e.padding,this.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Pm(this.dataFormat),Lm(this.padding),this.inputSpec=[new uy({ndim:4})]}computeOutputShape(e){e=ay(e);let t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=yv(t,this.poolSize[0],this.padding,this.strides[0]),n=yv(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return po((()=>(this.invokeCallHook(e,t),this.poolingFunction(ry(e),this.poolSize,this.strides,this.padding,this.dataFormat))))}getConfig(){const e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}class Nw extends Sw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),_w(e,t,n,r,a,"max")}}Nw.className="MaxPooling2D",Gi(Nw);class Iw extends Sw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),_w(e,t,n,r,a,"avg")}}Iw.className="AveragePooling2D",Gi(Iw);class Aw extends py{constructor(e){if(null==e.poolSize&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new Yp(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];mm(this.poolSize,"poolSize"),mm(this.strides,"strides"),this.padding=null==e.padding?"valid":e.padding,this.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Pm(this.dataFormat),Lm(this.padding),this.inputSpec=[new uy({ndim:5})]}computeOutputShape(e){e=ay(e);let t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=yv(t,this.poolSize[0],this.padding,this.strides[0]),n=yv(n,this.poolSize[1],this.padding,this.strides[1]),r=yv(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]}call(e,t){return po((()=>(this.invokeCallHook(e,t),this.poolingFunction(ry(e),this.poolSize,this.strides,this.padding,this.dataFormat))))}getConfig(){const e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}class Dw extends Aw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),xw(e,t,n,r,a,"max")}}Dw.className="MaxPooling3D",Gi(Dw);class Tw extends Aw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),xw(e,t,n,r,a,"avg")}}Tw.className="AveragePooling3D",Gi(Tw);class Fw extends py{constructor(e){super(e),this.inputSpec=[new uy({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new Jp}}class Rw extends Fw{constructor(e){super(e||{})}call(e,t){return po((()=>{const t=ry(e);return ic(t,1)}))}}Rw.className="GlobalAveragePooling1D",Gi(Rw);class Ow extends Fw{constructor(e){super(e||{})}call(e,t){return po((()=>{const t=ry(e);return Wu(t,1)}))}}Ow.className="GlobalMaxPooling1D",Gi(Ow);class Mw extends py{constructor(e){super(e),this.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Pm(this.dataFormat),this.inputSpec=[new uy({ndim:4})]}computeOutputShape(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new Jp}getConfig(){const e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}class Bw extends Mw{call(e,t){return po((()=>{const t=ry(e);return"channelsLast"===this.dataFormat?ic(t,[1,2]):ic(t,[2,3])}))}}Bw.className="GlobalAveragePooling2D",Gi(Bw);class $w extends Mw{call(e,t){return po((()=>{const t=ry(e);return"channelsLast"===this.dataFormat?Wu(t,[1,2]):Wu(t,[2,3])}))}}$w.className="GlobalMaxPooling2D",Gi($w);class Pw extends py{constructor(e){super(e),this.layer=e.layer}build(e){this.built=!0}get trainable(){return null!=this.layer&&this.layer.trainable}set trainable(e){null!=this.layer&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){const e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){const r=Ay(t.layer,n);delete t.layer;const a={layer:r};return Object.assign(a,t),new e(a)}}class Lw extends Pw{constructor(e){super(e),this.supportsMasking=!0}build(e){if((e=ay(e)).length<3)throw new Yp(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];const t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){const t=[(e=ay(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))}call(e,t){return po((()=>Mv(((e,n)=>[ry(this.layer.call(e,t)),[]]),e=ry(e),[],!1,null,null,!1,!0)[1]))}}Lw.className="TimeDistributed",Gi(Lw);class zw extends Pw{constructor(e){super(e);const t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Ay(n),t.goBackwards=!0!==t.goBackwards;const r={};var a;if(r.className=e.layer.getClassName(),r.config=t,this.backwardLayer=Ay(r),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,a=this.mergeMode,dm(Bm,"BidirectionalMergeMode",a),e.weights)throw new Jp("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){const t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t,n,r,a=this.forwardLayer.computeOutputShape(e);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),a=a,this.returnState?(r=a.slice(1),t=a[0]):t=a[0],t=t,"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):nm(n)}apply(e,t){let n=null==t?null:t.initialState,r=null==t?null:t.constants;null==t&&(t={});const a=Ov(e,n,r,this.numConstants);if(e=a.inputs,n=a.initialState,r=a.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(null==n||0===n.length)&&null==r)return super.apply(e,t);const s=[],i=[];if(null!=n){const e=n.length;if(e%2>0)throw new Yp("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,s.push(...n);const r=n.map((e=>new uy({shape:e.shape})));this.forwardLayer.stateSpec=r.slice(0,e/2),this.backwardLayer.stateSpec=r.slice(e/2),i.push(...r)}if(null!=r)throw new Jp("Support for constants in Bidirectional layers is not implemented yet.");const o=s[0]instanceof cy;for(const e of s)if(e instanceof cy!==o)throw new Yp("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){const n=[e].concat(s),r=this.inputSpec.concat(i),a=this.inputSpec;this.inputSpec=r;const o=super.apply(n,t);return this.inputSpec=a,o}return super.apply(e,t)}call(e,t){return po((()=>{const n=t.initialState;let r,a,s,i;if(null==n)r=this.forwardLayer.call(e,t),a=this.backwardLayer.call(e,t);else{const s=n.slice(0,n.length/2),i=n.slice(n.length/2);r=this.forwardLayer.call(e,Object.assign(t,{initialState:s})),a=this.backwardLayer.call(e,Object.assign(t,{initialState:i}))}return this.returnState&&(Array.isArray(r)&&(s=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),this.returnSequences&&(a=Uc(a,1)),"concat"===this.mergeMode?i=rg([r,a]):"sum"===this.mergeMode?i=No(r,a):"ave"===this.mergeMode?i=Do(.5,No(r,a)):"mul"===this.mergeMode?i=Do(r,a):null==this.mergeMode&&(i=[r,a]),this.returnState?null==this.mergeMode?i.concat(s):[i].concat(s):i}))}resetStates(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(e){Um(this.forwardLayer.name,(()=>{this.forwardLayer.build(e)})),Um(this.backwardLayer.name,(()=>{this.backwardLayer.build(e)})),this.built=!0}computeMask(e,t){let n;if(Array.isArray(t)&&(t=t[0]),n=this.returnSequences?null==this.mergeMode?[t,t]:t:null==this.mergeMode?[null,null]:null,this.returnState){const e=this.forwardLayer.states.map((e=>null));return Array.isArray(n)?n.concat(e).concat(e):[n].concat(e).concat(e)}return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get 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rk{static get Instance(){return this._instance||(this._instance=new this)}constructor(){const e=[].concat(...[E,C,S,N,I,A,D,O,R,T,M,B,$,P,L,z,F].map((e=>e.json)));this.opMappers=e.reduce(((e,t)=>(e[t.tfOpName]=t,e)),{})}transformGraph(e,t={}){const n=e.node,r=[],a=[],s=[],i=n.reduce(((e,t)=>(e[t.name]=this.mapNode(t),t.op.startsWith("Placeholder")?r.push(e[t.name]):"Const"===t.op?a.push(e[t.name]):null!=t.input&&0!==t.input.length||s.push(e[t.name]),e)),{});let o=[];const l=[];let u={},c={};null!=t&&(u=this.mapSignatureEntries(t.inputs),c=this.mapSignatureEntries(t.outputs));const h=Object.keys(i);h.forEach((e=>{const t=i[e];t.inputNames.forEach((e=>{const[n]=Mx(e);t.inputs.push(i[n]),i[n].children.push(t)}))})),0===Object.keys(c).length?h.forEach((e=>{const t=i[e];0===t.children.length&&l.push(t)})):Object.keys(c).forEach((e=>{const[t]=Mx(e),n=i[t];null!=n&&(n.signatureKey=c[e],l.push(n))})),Object.keys(u).length>0?Object.keys(u).forEach((e=>{const[t]=Mx(e),n=i[t];n&&(n.signatureKey=u[e],o.push(n))})):o=r;let f={};null!=e.library&&null!=e.library.function&&(f=e.library.function.reduce(((e,t)=>(e[t.signature.name]=this.mapFunction(t),e)),{}));const d={nodes:i,inputs:o,outputs:l,weights:a,placeholders:r,signature:t,functions:f};return s.length>0&&(d.initNodes=s),d}mapSignatureEntries(e){return Object.keys(e||{}).reduce(((t,n)=>(t[e[n].name]=n,t)),{})}mapNode(e){const t=Tx(e.op)||this.opMappers[e.op]||{};null==e.attr&&(e.attr={});const n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map((e=>e.startsWith("^")?e.substr(1):e)),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr};return 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r={};null!=t&&(r=t.reduce(((e,t)=>(e[t.name]=this.mapNode(t),"Const"===t.op&&n.push(e[t.name]),e)),{}));const a=[],s=[];e.signature.inputArg.forEach((e=>{const[t]=Mx(e.name),n={name:t,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:lk(e.type),type:"dtype"}},children:[]};n.signatureKey=e.name,a.push(n),r[t]=n})),Object.keys(r).forEach((e=>{const t=r[e];t.inputNames.forEach((e=>{const[n]=Mx(e);t.inputs.push(r[n]),r[n].children.push(t)}))}));const i=e.ret;e.signature.outputArg.forEach((e=>{const[t,n]=Mx(i[e.name]),a=r[t];null!=a&&(a.defaultOutput=n,s.push(a))}));const o=this.mapArgsToSignature(e);return{nodes:r,inputs:a,outputs:s,weights:n,placeholders:[],signature:o}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce(((e,t)=>(e[t.name]=this.mapArgToTensorInfo(t),e)),{}),outputs:e.signature.outputArg.reduce(((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n,e.ret),t)),{})}}mapArgToTensorInfo(e,t){let n=e.name;return null!=t&&(n=t[n]),{name:n,dtype:e.type}}}function ak(e,t){const n=Array.isArray(e)?String.fromCharCode.apply(null,e):function(e){const t=We().global;if(void 0!==t.atob)return t.atob(e);if("undefined"!=typeof Buffer)return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}(e);return t?n:n.toLowerCase()}function sk(e,t,n,r=!1){const a=e[t];return null!=a?ak(a.s,r):n}function ik(e,t,n){const r=e[t];return r?r.b:n}function ok(e,t,n){const r=e[t]||{},a=null!=r.i?r.i:null!=r.f?r.f:n;return"number"==typeof a?a:parseInt(a,10)}function lk(e){switch("string"==typeof e&&(e=Nx[e]),e){case Nx.DT_FLOAT:return"float32";case Nx.DT_INT32:case Nx.DT_INT64:case Nx.DT_INT8:case Nx.DT_UINT8:return"int32";case Nx.DT_BOOL:return"bool";case Nx.DT_DOUBLE:return"float32";case Nx.DT_STRING:return"string";default:return null}}function uk(e,t,n){const r=e[t];return r&&r.func?r.func.name:n}function ck(e,t,n){const r=e[t];return r&&r.type?lk(r.type):n}function hk(e,t,n){const r=e[t];return r&&r.list&&r.list.type?r.list.type.map((e=>lk(e))):n}function fk(e){if(!e.unknownRank)return null!=e.dim?e.dim.map((e=>"number"==typeof e.size?e.size:parseInt(e.size,10))):[]}function dk(e,t,n){const r=e[t];return r&&r.shape?fk(r.shape):n}function pk(e,t,n){const r=e[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map((e=>"number"==typeof e?e:parseInt(e,10))):n}function mk(e,t,n,r=!1){const a=e[t];return a&&a.list&&a.list.s?a.list.s.map((e=>ak(e,r))):n}function gk(e,t,n){const r=e[t];return r&&r.list&&r.list.shape?r.list.shape.map((e=>fk(e))):n}function yk(e,t,n){const r=e[t];return r&&r.list&&r.list.b?r.list.b:n}class bk{constructor(e,t,n){this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map((e=>this.getInput(e))),null!=e.rawAttrs&&(this.attrs=Object.keys(e.rawAttrs).reduce(((e,t)=>(e[t]=this.getAttr(t),e)),{}))}getInput(e){return Ox(e,this.tensorMap,this.context)}getAttr(e,t){const n=this.node.rawAttrs[e];if(null!=n.tensor)return Ox(e,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return ok(this.node.rawAttrs,e,t);if(null!=n.s)return sk(this.node.rawAttrs,e,t);if(null!=n.b)return ik(this.node.rawAttrs,e,t);if(null!=n.shape)return dk(this.node.rawAttrs,e,t);if(null!=n.type)return ck(this.node.rawAttrs,e,t);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return pk(this.node.rawAttrs,e,t);if(null!=n.list.s)return mk(this.node.rawAttrs,e,t);if(null!=n.list.shape)return gk(this.node.rawAttrs,e,t);if(null!=n.list.b)return yk(this.node.rawAttrs,e,t);if(null!=n.list.type)return hk(this.node.rawAttrs,e,t)}return t}}function vk(e,t,n=""){if("number"!=typeof e&&"number"!=typeof t){Q(e.length===t.length,(()=>n+` Shapes ${e} and ${t} must match`));for(let r=0;rn+` Shapes ${e} and ${t} must match`))}}}function wk(e){return"number"!=typeof e&&!e.some((e=>e<0))}function _k(e,t,n){let r=xk(e,n);const a=!wk(r);if(a&&0===t.length)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${r}`);if(a&&t.forEach((e=>{r=xk(e.shape,r)})),!wk(r))throw new Error(`Non-fully-defined elementShape: ${r}`);return r}function xk(e,t){if("number"==typeof e)return t;if("number"==typeof t)return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);const n=[];for(let r=0;r=0&&s>=0&&a!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);n[r]=a>=0?a:s}return n}class kk{constructor(e,t,n,r,a,s,i){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=r,this.identicalElementShapes=a,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=Wo(0),go(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach((t=>{null!=e&&e.has(t.tensor.id)||t.tensor.dispose()})),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);const t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map((e=>this.read(e)))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);const n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e},\n because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),vk(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,go(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach(((e,n)=>this.write(e,t[n])))}gather(e,t){if(t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let t=0;t=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,Sh(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0;const r=e.map((e=>(n+=e,n)));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);const a=0===n?0:t.size/n,s=[];po((()=>{t=Al(t,[1,n,a]);for(let n=0;n{if(n!==e.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${e.dtype}`);vk(t,e.shape,"TensorList shape mismatch: "),go(e)})),this.idTensor=Wo(0),this.maxNumElements=r,go(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Ek([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach((t=>{null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(-1!==n&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);vk(e,this.elementShape,"TensorList shape mismatch: ");const r=_k(this.elementShape,this.tensors,e);return po((()=>{const e=this.tensors.map((e=>Al(e,r)));return dh(e,0)}))}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(0===this.size())throw new Error("Trying to pop from an empty list.");const n=_k(this.elementShape,this.tensors,e),r=this.tensors.pop();return vk(r.shape,e,"TensorList shape mismatch: "),Al(r,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(vk(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");go(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(-1!==this.maxNumElements&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);this.tensors.length=e}getItem(e,t,n){if(n!==this.elementDtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${this.elementDtype}`);if(e<0||e>this.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(null==this.tensors[e])throw new Error(`element at index ${e} is null.`);vk(this.tensors[e].shape,t,"TensorList shape mismatch: ");const r=_k(this.elementShape,this.tensors,t);return Al(this.tensors[e],r)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||-1!==this.maxNumElements&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);vk(this.elementShape,t.shape,"TensorList shape mismatch: "),go(t),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);vk(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());const r=_k(this.elementShape,this.tensors,n);return 0===e.length?ts([],[0].concat(r)):po((()=>{const t=e.map((e=>Al(this.tensors[e],r)));return dh(t,0)}))}concat(e,t){if(e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);vk(this.elementShape,t,"TensorList shape mismatch: ");const n=_k(this.elementShape,this.tensors,t);return 0===this.size()?ts([],[0].concat(n)):po((()=>{const e=this.tensors.map((e=>Al(e,n)));return Fl(e,0)}))}}function Ck(e,t,n){const[r,a]=Rx("fusedOps",e,t,n),s="biasadd"===r,i="prelu"===a,o="fusedbatchnorm"===r,l=Rx("numArgs",e,t,n);if(s){if(i&&2!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&1!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(o)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");const u=Rx("strides",e,t,n),c=Px(e,t,n),h=Rx("dataFormat",e,t,n).toUpperCase(),f=Rx("dilations",e,t,n),[d,p]=Rx("args",e,t,n);return{stride:u,pad:c,dataFormat:h,dilations:f,biasArg:d,preluArg:p,activationFunc:a,leakyreluAlpha:Rx("leakyreluAlpha",e,t,n)}}function Sk(e,t,n){return{boxes:Rx("boxes",e,t,n),scores:Rx("scores",e,t,n),maxOutputSize:Rx("maxOutputSize",e,t,n),iouThreshold:Rx("iouThreshold",e,t,n),scoreThreshold:Rx("scoreThreshold",e,t,n),softNmsSigma:Rx("softNmsSigma",e,t,n)}}class Nk{constructor(e,t){this.keyDType=e,this.valueDType=t,this.handle=Wo(0),this.tensorMap=new Map,go(this.handle)}get id(){return this.handle.id}clearAndClose(){this.tensorMap.forEach((e=>e.dispose())),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return Wo(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);const n=await e.data();return this.tensorMap.forEach((e=>e.dispose())),this.tensorMap.clear(),po((()=>{const e=Sh(t),r=n.length,a=e.length;Q(r===a,(()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${a} elements.`));for(let t=0;t{const e=[];for(let r=0;r{switch(e.category){case"arithmetic":return po((()=>((e,t,n)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[No(Rx("a",e,t,n),Rx("b",e,t,n))];case"AddN":return[il(Rx("tensors",e,t,n))];case"FloorMod":case"Mod":return[dc(Rx("a",e,t,n),Rx("b",e,t,n))];case"Mul":return[Do(Rx("a",e,t,n),Rx("b",e,t,n))];case"RealDiv":case"Div":return[Ao(Rx("a",e,t,n),Rx("b",e,t,n))];case"DivNoNan":return[du(Rx("a",e,t,n),Rx("b",e,t,n))];case"FloorDiv":return[Io(Rx("a",e,t,n),Rx("b",e,t,n))];case"Sub":return[Xo(Rx("a",e,t,n),Rx("b",e,t,n))];case"Minimum":return[hc(Rx("a",e,t,n),Rx("b",e,t,n))];case"Maximum":return[Qo(Rx("a",e,t,n),Rx("b",e,t,n))];case"Pow":return[Go(Rx("a",e,t,n),Rx("b",e,t,n))];case"SquaredDifference":return[hh(Rx("a",e,t,n),Rx("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"basic_math":return po((()=>((e,t,n)=>{switch(e.op){case"Abs":case"ComplexAbs":return[qo(Rx("x",e,t,n))];case"Acos":return[al(Rx("x",e,t,n))];case"Acosh":return[sl(Rx("x",e,t,n))];case"Asin":return[hl(Rx("x",e,t,n))];case"Asinh":return[fl(Rx("x",e,t,n))];case"Atan":return[dl(Rx("x",e,t,n))];case"Atan2":return[pl(Rx("x",e,t,n),Rx("y",e,t,n))];case"Atanh":return[ml(Rx("x",e,t,n))];case"Ceil":return[jl(Rx("x",e,t,n))];case"Complex":return[Qa(Rx("real",e,t,n),Rx("imag",e,t,n))];case"Cos":return[ru(Rx("x",e,t,n))];case"Cosh":return[au(Rx("x",e,t,n))];case"Elu":return[gu(Rx("x",e,t,n))];case"Erf":return[yu(Rx("x",e,t,n))];case"Exp":return[bu(Rx("x",e,t,n))];case"Expm1":return[wu(Rx("x",e,t,n))];case"Floor":return[ku(Rx("x",e,t,n))];case"Log":return[Bu(Rx("x",e,t,n))];case"Log1p":return[$u(Rx("x",e,t,n))];case"Imag":return[Nu(Rx("x",e,t,n))];case"Neg":return[Pu(Rx("x",e,t,n))];case"Reciprocal":return[Lc(Rx("x",e,t,n))];case"Real":return[Pc(Rx("x",e,t,n))];case"Relu":return[zc(Rx("x",e,t,n))];case"Round":return[Xc(Rx("x",e,t,n))];case"Selu":return[qc(Rx("x",e,t,n))];case"Sigmoid":return[Rl(Rx("x",e,t,n))];case"Sin":return[Qc(Rx("x",e,t,n))];case"Sign":return[Zc(Rx("x",e,t,n))];case"Sinh":return[eh(Rx("x",e,t,n))];case"Softplus":return[Lu(Rx("x",e,t,n))];case"Sqrt":return[To(Rx("x",e,t,n))];case"Square":return[Fo(Rx("x",e,t,n))];case"Tanh":return[Ml(Rx("x",e,t,n))];case"Tan":return[gh(Rx("x",e,t,n))];case"ClipByValue":return[Hl(Rx("x",e,t,n),Rx("clipValueMin",e,t,n),Rx("clipValueMax",e,t,n))];case"Relu6":return[Wc(Rx("x",e,t,n))];case"Rsqrt":return[Kc(Ox(e.inputNames[0],t,n))];case"Prod":return[Ic(Rx("x",e,t,n),Rx("axes",e,t,n))];case"LeakyRelu":return[Tu(Rx("x",e,t,n),Rx("alpha",e,t,n))];case"Prelu":return[Nc(Rx("x",e,t,n),Rx("alpha",e,t,n))];case"IsNan":return[Du(Ox(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"control":return(async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{const r=Rx("thenBranch",e,t,n),a=Rx("elseBranch",e,t,n),s=Rx("cond",e,t,n),i=Rx("args",e,t,n);return(await s.data())[0]?n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{const r=Rx("body",e,t,n),a=Rx("cond",e,t,n),s=Rx("args",e,t,n),i=await n.functionMap[a].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map((e=>e.id));let l=await i[0].data();i.forEach((e=>{e.kept||-1!==o.indexOf(e.id)||e.dispose()}));let u=s;for(;l[0];){const e=u;u=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);const t=u.map((e=>e.id));e.forEach((e=>{e.kept||-1!==o.indexOf(e.id)||-1!==t.indexOf(e.id)||e.dispose()}));const s=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await s[0].data(),s.forEach((e=>{e.kept||-1!==o.indexOf(e.id)||-1!==t.indexOf(e.id)||e.dispose()}))}return u}case"LoopCond":return[Lx(Rx("pred",e,t,n))];case"Switch":{const r=Rx("pred",e,t,n);let a=Rx("data",e,t,n);return a.kept||(a=Lx(a)),(await r.data())[0]?[void 0,a]:[a,void 0]}case"Merge":{const r=e.inputNames.find((e=>void 0!==Ox(e,t,n)));return r?[Lx(Ox(r,t,n))]:void 0}case"Enter":{const r=Rx("frameName",e,t,n),a=Rx("tensor",e,t,n);return n.enterFrame(r),[Lx(a)]}case"Exit":{const r=Rx("tensor",e,t,n);return n.exitFrame(),[Lx(r)]}case"NextIteration":{const r=Rx("tensor",e,t,n);return n.nextIteration(),[Lx(r)]}case"TensorArrayV3":{const r=Rx("size",e,t,n),a=Rx("dtype",e,t,n),s=Rx("elementShape",e,t,n),i=Rx("dynamicSize",e,t,n),o=Rx("clearAfterRead",e,t,n),l=Rx("identicalElementShapes",e,t,n),u=Rx("name",e,t,n),c=new kk(u,a,r,s,l,i,o);return n.addTensorArray(c),[c.idTensor,Wo(1)]}case"TensorArrayWriteV3":{const r=Rx("tensorArrayId",e,t,n),a=Rx("index",e,t,n),s=Rx("tensor",e,t,n),i=n.getTensorArray(r.id);return i.write(a,s),[i.idTensor]}case"TensorArrayReadV3":{const r=Rx("tensorArrayId",e,t,n),a=Rx("index",e,t,n);return[n.getTensorArray(r.id).read(a)]}case"TensorArrayGatherV3":{const r=Rx("tensorArrayId",e,t,n),a=Rx("indices",e,t,n),s=Rx("dtype",e,t,n);return[n.getTensorArray(r.id).gather(a,s)]}case"TensorArrayScatterV3":{const r=Rx("tensorArrayId",e,t,n),a=Rx("indices",e,t,n),s=Rx("tensor",e,t,n),i=n.getTensorArray(r.id);return i.scatter(a,s),[i.idTensor]}case"TensorArrayConcatV3":{const r=Rx("tensorArrayId",e,t,n),a=n.getTensorArray(r.id),s=Rx("dtype",e,t,n);return[a.concat(s)]}case"TensorArraySplitV3":{const r=Rx("tensorArrayId",e,t,n),a=Rx("tensor",e,t,n),s=Rx("lengths",e,t,n),i=n.getTensorArray(r.id);return i.split(s,a),[i.idTensor]}case"TensorArraySizeV3":{const r=Rx("tensorArrayId",e,t,n);return[Wo(n.getTensorArray(r.id).size(),"int32")]}case"TensorArrayCloseV3":{const r=Rx("tensorArrayId",e,t,n),a=n.getTensorArray(r.id);return a.clearAndClose(),[a.idTensor]}case"TensorListSetItem":{const r=Rx("tensorListId",e,t,n),a=Rx("index",e,t,n),s=Rx("tensor",e,t,n),i=n.getTensorList(r.id);return i.setItem(a,s),[i.idTensor]}case"TensorListGetItem":{const r=Rx("tensorListId",e,t,n),a=Rx("index",e,t,n),s=Rx("elementShape",e,t,n),i=Rx("elementDType",e,t,n);return[n.getTensorList(r.id).getItem(a,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{const r=Rx("indices",e,t,n),a=function(e,t,n,r){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);const a=Math.max(...t);if(null!=r&&-1!==r&&a>=r)throw new Error(`Max index must be < array size (${a} vs. ${r})`);const s=new Ek([],n,e.dtype,r),i=Sh(e,0);return t.forEach(((e,t)=>{s.setItem(e,i[t])})),s}(Rx("tensor",e,t,n),r,Rx("elementShape",e,t,n),Rx("numElements",e,t,n));return n.addTensorList(a),[a.idTensor]}case"TensorListReserve":case"EmptyTensorList":{const r=Rx("elementShape",e,t,n),a=Rx("elementDType",e,t,n);let s;s="TensorListReserve"===e.op?"numElements":"maxNumElements";const i=function(e,t,n){return new Ek([],e,t,n)}(r,a,Rx(s,e,t,n));return n.addTensorList(i),[i.idTensor]}case"TensorListGather":{const r=Rx("tensorListId",e,t,n),a=Rx("indices",e,t,n),s=Rx("elementShape",e,t,n),i=Rx("elementDType",e,t,n);return[n.getTensorList(r.id).gather(a,i,s)]}case"TensorListStack":{const r=Rx("tensorListId",e,t,n),a=Rx("elementShape",e,t,n),s=Rx("elementDType",e,t,n),i=Rx("numElements",e,t,n);return[n.getTensorList(r.id).stack(a,s,i)]}case"TensorListFromTensor":{const r=function(e,t,n){const r=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data 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s=xk(e.shape.slice(1),n),i=0===r?0:e.size/r,o=po((()=>{const n=[];e=Al(e,[1,r,i]);for(let r=0;r((e,t,n)=>{switch(e.op){case"Conv1D":{const r=Rx("stride",e,t,n),a=Rx("pad",e,t,n),s=Rx("dataFormat",e,t,n).toUpperCase(),i=Rx("dilation",e,t,n);return[Jl(Rx("x",e,t,n),Rx("filter",e,t,n),r,a,s,i)]}case"Conv2D":{const 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po((()=>((e,t,n)=>{switch(e.op){case"TopKV2":{const r=Rx("x",e,t,n),a=Rx("k",e,t,n),s=Rx("sorted",e,t,n),i=xh(r,a,s);return[i.values,i.indices]}case"Unique":{const r=Rx("x",e,t,n),a=Eh(r);return[a.values,a.indices]}case"UniqueV2":{const r=Rx("x",e,t,n),a=Rx("axis",e,t,n),s=Eh(r,a);return[s.values,s.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"image":return po((()=>((e,t,n)=>{switch(e.op){case"ResizeBilinear":{const r=Rx("images",e,t,n),a=Rx("size",e,t,n),s=Rx("alignCorners",e,t,n),i=Rx("halfPixelCenters",e,t,n);return[zf.resizeBilinear(r,[a[0],a[1]],s,i)]}case"ResizeNearestNeighbor":{const r=Rx("images",e,t,n),a=Rx("size",e,t,n),s=Rx("alignCorners",e,t,n),i=Rx("halfPixelCenters",e,t,n);return[zf.resizeNearestNeighbor(r,[a[0],a[1]],s,i)]}case"CropAndResize":{const 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po((()=>((e,t,n)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[pi(Rx("a",e,t,n),Rx("b",e,t,n),Rx("transposeA",e,t,n),Rx("transposeB",e,t,n))];case"Einsum":return[mu(Rx("equation",e,t,n),...Rx("tensors",e,t,n))];case"Transpose":return[gi(Rx("x",e,t,n),Rx("perm",e,t,n))];case"_FusedMatMul":const[r,a]=Rx("fusedOps",e,t,n),s="biasadd"===r,i="prelu"===a,o=Rx("numArgs",e,t,n),l=Rx("leakyreluAlpha",e,t,n);if(s){if(i&&2!==o)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&1!==o)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}const[u,c]=Rx("args",e,t,n);return[Yh({a:Rx("a",e,t,n),b:Rx("b",e,t,n),transposeA:Rx("transposeA",e,t,n),transposeB:Rx("transposeB",e,t,n),bias:u,activation:a,preluActivationWeights:c,leakyreluAlpha:l})];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"normalization":return po((()=>((e,t,n)=>{switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[Pl(Rx("x",e,t,n),Rx("mean",e,t,n),Rx("variance",e,t,n),Rx("offset",e,t,n),Rx("scale",e,t,n),Rx("epsilon",e,t,n))];case"LRN":return[Mu(Rx("x",e,t,n),Rx("radius",e,t,n),Rx("bias",e,t,n),Rx("alpha",e,t,n),Rx("beta",e,t,n))];case"Softmax":return[sh(Rx("x",e,t,n))];case"LogSoftmax":return[Vu(Rx("x",e,t,n))];case"SparseToDense":return[Mh(Rx("sparseIndices",e,t,n),Rx("outputShape",e,t,n),Rx("sparseValues",e,t,n),Rx("defaultValue",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"reduction":return po((()=>((e,t,n)=>{switch(e.op){case"Max":{const r=Rx("axis",e,t,n),a=Rx("keepDims",e,t,n);return[Wu(Rx("x",e,t,n),r,a)]}case"Mean":{const r=Rx("axis",e,t,n),a=Rx("keepDims",e,t,n);return[ic(Rx("x",e,t,n),r,a)]}case"Min":{const r=Rx("axis",e,t,n),a=Rx("keepDims",e,t,n);return[cc(Rx("x",e,t,n),r,a)]}case"Sum":{const 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r=Rx("n",e,t,n),a=Rx("axis",e,t,n);let s=Rx("tensors",e,t,n);return s=s.slice(0,r),[Fl(s,a)]}case"Gather":{const r=Rx("x",e,t,n),a=Rx("indices",e,t,n);return[Eu(r,Ks(a,"int32"),0)]}case"GatherV2":{const r=Rx("axis",e,t,n),a=Rx("batchDims",e,t,n),s=Rx("x",e,t,n),i=Rx("indices",e,t,n);return[Eu(s,Ks(i,"int32"),r,a)]}case"Reverse":{const r=Rx("dims",e,t,n),a=[];for(let e=0;e{const r=Rx("axis",e,t,n),a=Rx("tensors",e,t,n),s=a[0].shape,i=fh(a[0]).shape,o=a.map((e=>{const t=se(e.shape,s);if(!t&&!se(fh(e).shape,i))throw new Error("the input tensors shape does not match");return t?e:Al(e,s)}));return[dh(o,r)]}));case"Unpack":{const r=Rx("axis",e,t,n),a=Rx("tensor",e,t,n);return Sh(a,r)}case"Tile":{const r=Rx("reps",e,t,n);return[_u(Rx("x",e,t,n),r)]}case"Split":case"SplitV":{const r=Rx("axis",e,t,n),a=Rx("numOrSizeSplits",e,t,n),s=Rx("x",e,t,n);return uh(s,a,r)}case"ScatterNd":{const r=Rx("indices",e,t,n),a=Rx("values",e,t,n),s=Rx("shape",e,t,n);return[Oh(r,a,s)]}case"GatherNd":{const r=Rx("x",e,t,n),a=Rx("indices",e,t,n);return[Bh(r,a)]}case"SparseToDense":{const r=Rx("sparseIndices",e,t,n),a=Rx("outputShape",e,t,n),s=Rx("sparseValues",e,t,n),i=Rx("defaultValue",e,t,n);return[Mh(r,s,a,s.dtype===i.dtype?i:Ks(i,s.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"sparse":return po((()=>((e,t,n)=>{switch(e.op){case"SparseReshape":{const{outputIndices:r,outputShape:a}=Vf.sparseReshape(Rx("inputIndices",e,t,n),Rx("inputShape",e,t,n),Rx("newShape",e,t,n));return[r,a]}default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"spectral":return po((()=>((e,t,n)=>{switch(e.op){case"FFT":return[ih(Rx("x",e,t,n))];case"IFFT":return[oh(Rx("x",e,t,n))];case"RFFT":return[ch(Rx("x",e,t,n))];case"IRFFT":return[lh(Rx("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"transformation":return po((()=>((e,t,n)=>{switch(e.op){case"Cast":return[Ks(Rx("x",e,t,n),Rx("dtype",e,t,n))];case"ExpandDims":{const r=Rx("axis",e,t,n);return[vu(Rx("x",e,t,n),r)]}case"Squeeze":{const r=Rx("axis",e,t,n);return[fh(Rx("x",e,t,n),r)]}case"Reshape":return[Al(Rx("x",e,t,n),Rx("shape",e,t,n))];case"MirrorPad":return[fc(Rx("x",e,t,n),Rx("padding",e,t,n),Rx("mode",e,t,n))];case"PadV2":case"Pad":return[wc(Rx("x",e,t,n),Rx("padding",e,t,n),Rx("constantValue",e,t,n))];case"SpaceToBatchND":{const r=Rx("blockShape",e,t,n),a=Rx("paddings",e,t,n);return[Cc(Rx("x",e,t,n),r,a)]}case"BatchToSpaceND":{const r=Rx("blockShape",e,t,n),a=Rx("crops",e,t,n);return[$l(Rx("x",e,t,n),r,a)]}case"DepthToSpace":{const r=Rx("blockSize",e,t,n),a=Rx("dataFormat",e,t,n).toUpperCase();return[ou(Rx("x",e,t,n),r,a)]}case"BroadcastTo":return[Vl(Rx("x",e,t,n),Rx("shape",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"hash_table":return(async(e,t,n,r)=>{switch(e.op){case"HashTable":case"HashTableV2":{const a=Rx("keyDType",e,t,n),s=Rx("valueDType",e,t,n),i=new Nk(a,s);return r.addHashTable(e.name,i),[i.handle]}case"LookupTableImport":case"LookupTableImportV2":{const a=Rx("tableHandle",e,t,n,r),s=Rx("keys",e,t,n),i=Rx("values",e,t,n),o=r.getHashTableById(a.id);return[await o.import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{const a=Rx("tableHandle",e,t,n,r),s=Rx("keys",e,t,n),i=Rx("defaultValue",e,t,n),o=r.getHashTableById(a.id);return[await o.find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{const a=Rx("tableHandle",e,t,n,r);return[r.getHashTableById(a.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n,r);case"custom":const a=Tx(e.op);if(a&&a.customExecutor)return a.customExecutor(new bk(e,t,n));throw TypeError(`Custom op ${e.op} is not registered.`);default:throw TypeError(`Unknown op '${e.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return Pe(a)?a.then((e=>[].concat(e))):[].concat(a)}class Ak{constructor(e={},t={},n={},r={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){const e=[];for(let t=0;t0===e.id&&0===e.iterationId?"":`${e.frameName}-${e.iterationId}`)).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()}nextIteration(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");{this.contexts=this.contexts.slice(),this.lastId++;const e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(const t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(const t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}}function Dk(e,t,n,r){const a=new Set,s=[];let i=null,o=null;const l=new Set,u=Object.keys(e).map((e=>$x(e)[0]));let c=[];null!=r&&(c=r.map((e=>$x(e.name)[0])));const h=[...t];for(;h.length>0;){const e=h.pop();(Ok(e)||Mk(e)||Bk(e))&&null==i&&(i=e,o=i.children.map((e=>e.name)).filter((e=>a.has(e)))),a.add(e.name),null==n[e.name]&&-1===u.indexOf(e.name)&&-1===c.indexOf(e.name)&&(0!==e.inputs.length?e.inputs.forEach((e=>{l.has(e.name)||(l.add(e.name),h.push(e))})):s.push(e.name))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:s,dynamicNode:i,syncInputs:o}}const Tk=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],Fk=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],Rk=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function Ok(e){return Tk.indexOf(e.op)>=0}function Mk(e){return Fk.indexOf(e.op)>=0}function Bk(e){return Rk.indexOf(e.op)>=0}class $k{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,null!=e.functions&&Object.keys(e.functions).forEach((t=>{this._functionExecutorMap[t]=new $k(e.functions[t],this)}))}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){const t=Object.keys(e).map((t=>e[t].map((e=>e.id))));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map((e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0})))}get outputs(){return this._outputs.map((e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0})))}get inputNodes(){return this._inputs.map((e=>e.signatureKey||e.name))}get outputNodes(){return this._outputs.map((e=>{const t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t}))}get functions(){return Object.keys(this._functions).reduce(((e,t)=>(e[t]=this._functions[t].signature,e)),{})}getCompilationKey(e,t){const n=e.map((e=>e.name)).sort(),r=t.map((e=>e.name)).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)}compile(e,t){const n=Dk(e,t,this.weightMap,this._initNodes),{missingInputs:r,dynamicNode:a,syncInputs:s}=n;if(null!=a)throw new Error(`This execution contains the node '${a.name}', which has the dynamic op '${a.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(r.length>0){const n=t.map((e=>e.name)),a=Object.keys(e);throw new Error(`Cannot compute the outputs [${n}] from the provided inputs [${a}]. Missing the following inputs: [${r}]`)}return function(e,t,n){const{usedNodes:r,inputs:a}=n,s=[],i=Object.keys(a).map((e=>$x(e)[0])).map((t=>e.nodes[t])),o=e.initNodes;i.forEach((e=>{r.has(e.name)&&s.push(e)})),e.weights.forEach((e=>{r.has(e.name)&&s.push(e)})),null!=o&&o.forEach((e=>{r.has(e.name)&&s.push(e)}));const l=new Set,u=[];for(;s.length>0;){const e=s.pop();l.add(e.name),t[e.name]||u.push(e),e.children.forEach((e=>{!l.has(e.name)&&r.has(e.name)&&e.inputs.every((e=>l.has(e.name)))&&s.push(e)}))}return u}(this.graph,this.weightMap,n)}execute(e,t){e=this.mapInputs(e);const n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);const r=n.map((e=>this.graph.nodes[$x(e)[0]])),a=t.map((e=>$x(e)[0]));let s=a.map((e=>this.graph.nodes[e]));0===s.length&&(s=this._outputs);const i=this.getCompilationKey(r,s);let o=this.compiledMap.get(i);null==o&&(o=this.compile(e,s),this.compiledMap.set(i,o));const l={},u={};return po((()=>{const n=new Ak(this.weightMap,l,u,this.functionExecutorMap),r=Object.assign({},this.weightMap);Object.keys(e).forEach((t=>{const[n,a]=$x(t),s=[];s[a]=e[t],r[n]=s}));const s=this.getFrozenTensorIds(r),i={};for(let e=0;eOx(e,r,n)))}))}getFrozenTensorIds(e){const t=[].concat.apply([],Object.keys(e).map((t=>e[t])).map((e=>e.map((e=>e.id)))));return new Set(t)}checkTensorForDisposal(e,t,n,r,a,s,i){"control"!==t.category&&-1===s.indexOf(e)&&(n[e].forEach((e=>{null!=e&&(i[e.id]=(i[e.id]||0)+t.children.length)})),t.inputs.forEach((e=>{if("control"!==e.category){const t=function(e,t,n){return t[Bx(e,n.currentContextId)]}(e.name,n,r);null!=t&&t.forEach((e=>{if(e&&!e.kept&&!a.has(e.id)){const t=i[e.id];1===t?(e.dispose(),delete i[e.id]):null!=t&&i[e.id]--}}))}})))}async executeAsync(e,t){return this._executeAsync(e,t)}async _executeAsync(e,t,n=!1,r={},a={}){n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));const s=new Ak(this.weightMap,r,a,this.functionExecutorMap),i=await this.executeWithControlFlow(e,s,t,n),o=t.map((e=>Ox(e,i,s))),l=o.map((e=>e.id)),u=Object.keys(e).map((t=>e[t].id)),c=new Set([...l,...u,...this.weightIds]);return Object.keys(i).forEach((e=>{i[e].forEach((e=>{!e||e.kept||e.isDisposed||c.has(e.id)||e.dispose()}))})),null==this.parent&&s.dispose(c),o}async executeFunctionAsync(e,t,n){const r=e.reduce(((e,t,n)=>(e[this.inputs[n].name]=t,e)),{});return this._executeAsync(r,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,r){const a=Object.keys(e),s=a.map((e=>this.graph.nodes[$x(e)[0]])),i=n.map((e=>$x(e)[0]));let o=i.map((e=>this.graph.nodes[e]));0===o.length&&(o=this._outputs);const{usedNodes:l,missingInputs:u,dynamicNode:c,syncInputs:h}=Dk(e,o,this.weightMap,this._initNodes),f=[...s,...this.graph.weights,...this._initNodes||[]].map((e=>({node:e,contexts:t.currentContext}))),d=Object.assign({},this.weightMap);Object.keys(e).forEach((t=>{const[n,r]=$x(t),a=[];a[r]=e[t],d[n]=a}));const p={},m=this.getFrozenTensorIds(d),g={};for(;f.length>0;){const e=this.processStack(s,f,t,d,g,m,i,p,l);await Promise.all(e)}null!=c||r||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");const y=o.filter((e=>!Ok(e)&&!Ox(e.name,d,t))).map((e=>e.name));if(y.length>0){let e="";throw null!=c&&(e=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${h}]`),new Error(`Cannot compute the outputs [${y}] from the provided inputs [${a}]. Consider providing the following inputs: [${u}]. ${e}`)}return d}processStack(e,t,n,r,a,s,i,o,l){const u=[];for(;t.length>0;){const e=t.pop();n.currentContext=e.contexts;let c="";if("Enter"===e.node.op&&Rx("isConstant",e.node,r,n)&&([c]=Mx(e.node.name,n)),null==r[e.node.name]){const h=Ik(e.node,r,n,this._resourceManager);c||([c]=Mx(e.node.name,n));const f=n.currentContext;Pe(h)?u.push(h.then((u=>(r[c]=u,n.currentContext=f,this.checkTensorForDisposal(c,e.node,r,n,s,i,o),this.processChildNodes(e.node,t,n,r,a,l),u)))):(r[c]=h,this.checkTensorForDisposal(c,e.node,r,n,s,i,o),this.processChildNodes(e.node,t,n,r,a,l))}else this.processChildNodes(e.node,t,n,r,a,l)}return u}processChildNodes(e,t,n,r,a,s){e.children.forEach((e=>{const[i]=Mx(e.name,n);!a[i]&&s.has(e.name)&&("Merge"===e.op?e.inputNames.some((e=>!!Ox(e,r,n)))&&(a[i]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((e=>!!Ox(e,r,n)))&&(a[i]=!0,t.push({contexts:n.currentContext,node:e})))}))}dispose(){Object.keys(this.weightMap).forEach((e=>this.weightMap[e].forEach((e=>e.dispose()))))}checkInputShapeAndType(e){Object.keys(e).forEach((t=>{const n=e[t],[r]=$x(t),a=this.graph.nodes[r];if(a.attrParams.shape&&a.attrParams.shape.value){const e=a.attrParams.shape.value;Q(e.length===n.shape.length&&n.shape.every(((t,n)=>-1===e[n]||e[n]===t)),(()=>`The shape of dict['${a.name}'] provided in model.execute(dict) must be [${e}], but was [${n.shape}]`))}a.attrParams.dtype&&a.attrParams.dtype.value&&Q(n.dtype===a.attrParams.dtype.value,(()=>`The dtype of dict['${a.name}'] provided in model.execute(dict) must be ${a.attrParams.dtype.value}, but was ${n.dtype}`))}))}mapInputs(e){const t={};for(const n in e)null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[n]?t[this._signature.inputs[n].name]=e[n]:t[n]=e[n];return t}checkInputs(e){const t=Object.keys(e).filter((e=>{const[t]=$x(e);return null==this.graph.nodes[t]}));if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map((e=>null!=this._signature&&null!=this._signature.outputs&&null!=this._signature.outputs[e]?this._signature.outputs[e].name:e),{})}checkOutputs(e){e.forEach((e=>{const[t]=$x(e);if(!this.graph.nodes[t])throw new Error(`The output '${e}' is not found in the graph`)}))}}class Pk{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(const e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(const e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}}class Lk{constructor(e,t={}){this.modelUrl=e,this.loadOptions=t,this.version="n/a",null==t&&(this.loadOptions={}),this.resourceManager=new Pk}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}findIOHandler(){const e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=ui(e,this.loadOptions);else{const t=gs(e,this.loadOptions);if(0===t.length)t.push(ui(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}async load(){if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");const e=await this.handler.load();return this.loadSync(e)}loadSync(e){this.artifacts=e;const t=this.artifacts.modelTopology;let n;n=null!=this.artifacts.userDefinedMetadata&&null!=this.artifacts.userDefinedMetadata.signature?this.artifacts.userDefinedMetadata.signature:this.artifacts.signature,this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;const r=as(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new $k(rk.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),this.executor.resourceManager=this.resourceManager,null!=e.modelInitializer&&null!=e.modelInitializer.node){const t=rk.Instance.transformGraph(e.modelInitializer);this.initializer=new $k(t),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}async save(e,t){if("string"==typeof e){const t=ms(e);if(0===t.length)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(t.length>1)throw new Error(`Found more than one (${t.length}) save handlers for URL '${e}'`);e=t[0]}if(null==e.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}predict(e,t){return this.execute(e,this.outputNodes)}normalizeInputs(e){if(!(e instanceof _a||Array.isArray(e)))return e;if((e=Array.isArray(e)?e:[e]).length!==this.inputNodes.length)throw new Error(`Input tensor count mismatch,the graph model has ${this.inputNodes.length} placeholders, while there are ${e.length} input tensors.`);return this.inputNodes.reduce(((t,n,r)=>(t[n]=e[r],t)),{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}execute(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);const n=this.executor.execute(e,t);return n.length>1?n:n[0]}async executeAsync(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);const n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce(((t,n)=>(t[n]=[e[n]],t)),{})}dispose(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}}async function zk(e,t={}){if(null==e)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");null==t&&(t={}),t.fromTFHub&&null==e.load&&(e.endsWith("/")||(e+="/"),e=`${e}model.json?tfjs-format=file`);const n=new Lk(e,t);return await n.load(),n}const Wk="3.6.0";function Uk(e,t,n=new Map,r=new Set){if(null==e)return null;if(r.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);const a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep map function may not return both a value and recurse=true.");if(a.recurse){if(Xk(e)){const a=Array.isArray(e)?[]:{};r.add(e);for(const s in e){const i=Uk(e[s],t,n,r);a[s]=i}return r.delete(e),a}throw new Error(`Can't recurse into non-iterable type: ${e}`)}return n.set(e,a.value),a.value}function Vk(e,t=Hk){return jk(e,t)}function jk(e,t,n=new Set){const r=e[0];if(n.has(r))throw new Error("Circular references are not supported.");const a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep zip function may not return both a value and recurse=true.");if(a.recurse){if(Xk(r)){const a=Array.isArray(r)?[]:{};n.add(r);for(const s in r){const r=jk(e.map((e=>e[s])),t,n);a[s]=r}return n.delete(r),a}throw new Error(`Can't recurse into non-iterable type: ${r}`)}return a.value}function Hk(e){return null===e?null:Xk(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function Gk(e,t){const n=new Map;Uk(e,t,n);for(const e of Array.from(n.keys())){const t=n.get(e);if(Pe(t)){const r=await t;n.set(e,r)}}return Uk(e,t,n)}function Xk(e){return null!=e&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||"object"==typeof e&&!(e instanceof _a))}function Kk(e){return e instanceof _a?{value:e.clone(),recurse:!1}:Xk(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}class qk{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,null==e)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return 0===this.length()}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(const t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);const e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");const e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");const t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}}class Yk extends qk{constructor(){super(Yk.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){const e=2*this.capacity,t=new Array(e),n=this.length();for(let e=0;e!0===e))}rowMajorBatch(e,t=!0){return new sE(this,e,t)}columnMajorBatch(e,t=!0,n=Hk){return this.rowMajorBatch(e,t).map((e=>Vk(e,n)))}concatenate(e,t){return new fE(Jk([this,e]),t)}take(e){return e<0||null==e?this:new aE(this,e)}skip(e){return e<0||null==e?this:new rE(this,e)}prefetch(e){return new mE(this,e)}shuffle(e,t){return new gE(this,e,t)}serial(){return new nE(this)}}class eE extends Qk{constructor(e){super(),this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};const e=this.items[this.trav];return this.trav++,{value:(t=e,function(e,t){return Uk(e,t)}(t,Kk)),done:!1};var t}}class tE extends Qk{constructor(e){super(),this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}}class nE extends Qk{constructor(e){super(),this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){return this.upstream.next()}}class rE extends Qk{constructor(e,t){super(),this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}}class sE extends Qk{constructor(e,t,n=!0){super(),this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){const e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}}class iE extends Qk{constructor(e,t){super(),this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){for(;;){const e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;mo(e.value)}}}class oE extends Qk{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){const e=await this.upstream.next();if(e.done)return{value:null,done:!0};const t=Ma(e.value),n=this.transform(e.value),r=Ma(n);for(const e of t)Oa(e,r)||e.dispose();return{value:n,done:!1}}}class lE extends Qk{constructor(e,t){super(),this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}}class uE extends Qk{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){const e=await this.upstream.next();if(e.done)return{value:null,done:!0};const t=Ma(e.value),n=await this.transform(e.value),r=Ma(n);for(const e of t)Oa(e,r)||e.dispose();return{value:n,done:!1}}}class cE extends Qk{constructor(){super(),this.outputQueue=new Yk,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){for(;0===this.outputQueue.length();)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}}class hE extends cE{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){const e=await this.upstream.next();if(e.done)return!1;const t=Ma(e.value),n=this.transform(e.value),r=Ma(n);this.outputQueue.pushAll(n);for(const e of t)Oa(e,r)||e.dispose();return!0}}class fE extends Qk{constructor(e,t){super(),this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,null==this.iterator){const e=await this.moreIterators.next();if(e.done)return{value:null,done:!0};this.iterator=e.value,null!=this.baseErrorHandler&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}const t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}}var dE;!function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"}(dE||(dE={}));class pE extends Qk{constructor(e,t=dE.FAIL){super(),this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;const r=await Gk(this.iterators,(function(e){return e instanceof Qk?{value:e.next().then((e=>(t++,e.done&&n++,e.value))),recurse:!1}:{value:null,recurse:!0}}));if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case dE.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case dE.SHORTEST:return{value:null,done:!0};case dE.LONGEST:}return this.count++,{value:r,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}}class mE extends Qk{constructor(e,t){super(),this.upstream=e,this.bufferSize=t,this.buffer=new qk(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){const e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}}class gE extends mE{constructor(e,t,n){super(e,t),this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=Dc.alea(n||sa().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){const e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(!t.done)return this.refill(),t;this.upstreamExhausted=!0}return{value:null,done:!0}}}class yE{constructor(){this.size=null}batch(e,t=!0){const n=this;let r;return Q(e>0,(()=>`batchSize needs to be positive, but it is\n ${e}`)),r=this.size===1/0||null==this.size?this.size:t?Math.ceil(this.size/e):Math.floor(this.size/e),bE((async()=>(await n.iterator()).columnMajorBatch(e,t,_E)),r)}concatenate(e){const t=this;let n;return n=this.size===1/0||e.size===1/0?1/0:null!=this.size&&null!=e.size?this.size+e.size:null,bE((async()=>(await t.iterator()).concatenate(await e.iterator())),n)}filter(e){const t=this;let n;return n=this.size===1/0?1/0:null,bE((async()=>(await t.iterator()).filter((t=>po((()=>e(t)))))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){const t=this;return bE((async()=>(await t.iterator()).map((t=>po((()=>e(t)))))),this.size)}mapAsync(e){const t=this;return bE((async()=>(await t.iterator()).mapAsync(e)),this.size)}prefetch(e){if(null==e)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");const t=this;return bE((async()=>(await t.iterator()).prefetch(e)),this.size)}repeat(e){const t=this;let n;return n=null!=this.size&&e>0?this.size*e:0===e?0:null!=this.size&&(void 0===e||e<0)?1/0:null,bE((async()=>{return n=Zk((async()=>({value:await t.iterator(),done:!1}))).take(e),new fE(n,r);var n,r}),n)}skip(e){const t=this;let n;return n=null!=this.size&&e>=0&&this.size>=e?this.size-e:null!=this.size&&(this.size(await t.iterator()).skip(e)),n)}shuffle(e,t,n=!0){if(null==e||e<0)throw null==this.size?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);const r=this,a=Dc.alea(t||sa().toString());return bE((async()=>{let t=a.int32();return n&&(t+=a.int32()),(await r.iterator()).shuffle(e,t.toString())}),this.size)}take(e){const t=this;let n;return n=null!=this.size&&this.size>e?e:null!=this.size&&this.size<=e?this.size:null,bE((async()=>(await t.iterator()).take(e)),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}}function bE(e,t=null){return new class extends yE{constructor(){super(...arguments),this.size=t}async iterator(){return e()}}}function vE(e){return bE((async()=>Jk(e)),e.length)}function wE(e){if(!Xk(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;nfunction(e,t=dE.FAIL){return new pE(e,t)}(await Gk(e,(e=>{if(e instanceof yE)return{value:e.iterator(),recurse:!1};if(Xk(e))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")})),dE.SHORTEST)),t)}function _E(e){if(null===e)return null;return null==(t=e[0])||null===(n=t)||"object"!=typeof n&&"function"!=typeof n||Array.isArray(t)||"object"==typeof t&&t instanceof _a||we(t)?{value:function(e){if(0===e.length)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof _a?dh(e):ts(e)}(e),recurse:!1}:{value:null,recurse:!0};var t,n}yE.MAX_BUFFER_SIZE=1e4;class xE extends yE{constructor(e){super(),this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split("\n").map((e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e)))}}const kE='"',EE=Symbol("out"),CE=Symbol("field"),SE=Symbol("quote"),NE=Symbol("quoteafterquote"),IE=Symbol("quoteinquote");class AE extends yE{constructor(e,t){super(),this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new xE(e),t||(t={}),this.hasHeader=!1!==t.hasHeader,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(Q(null==t.delimiter,(()=>"Delimiter should not be provided when delimWhitespace is true.")),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){const e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&Q(e.length===this.fullColumnNames.length,(()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+").")),this.fullColumnNames||(this.fullColumnNames=e);const t=this.fullColumnNames.reduce(((e,t)=>(e[t]=e[t]+1||1,e)),{}),n=Object.keys(t).filter((e=>t[e]>1));if(Q(0===n.length,(()=>"Duplicate column names found: "+n.toString())),this.columnConfigs)for(const e of Object.keys(this.columnConfigs))if(-1===this.fullColumnNames.indexOf(e))throw new Error('The key "'+e+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").");this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){const e=await this.base.iterator(),t=await e.next();if(t.done)throw new Error("No data was found for CSV parsing.");const n=t.value;return this.parseRow(n,!1)}return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map((e=>this.makeDataElement(e)))}makeDataElement(e){const t=this.parseRow(e),n={},r={};for(let a=0;a14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=!1!==e.includeSpectrogram,this.includeWaveform=!0===e.includeWaveform,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(We().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");const t=new DE(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:null==this.audioTrackConstraints||this.audioTrackConstraints,video:!1})}catch(e){throw new Error(`Error thrown while initializing video stream: ${e.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");const e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,this.sampleRateHz){if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`)}else this.sampleRateHz=this.audioContext.sampleRate;const t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t;const n=await this.getAudioData();if(this.includeSpectrogram){const t=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(t,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){const e=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(e,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){const e=[],t=[];let n=0;return new Promise((r=>{const a=setInterval((()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&r({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(a),r({freqDataQueue:e,timeDataQueue:t}))}),this.fftSize/this.sampleRateHz*1e3)}))}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){const t=e[0].length,n=new Float32Array(e.length*t);return e.forEach(((e,r)=>n.set(e,r*t))),n}getTensorFromAudioDataArray(e,t){const n=new Float32Array(re(t));return n.set(e,n.length-e.length),ts(n,t)}}class TE extends Qk{constructor(e,t){if(super(),this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=yh([0],"int32"),this.webcamConfig.centerCrop){const e=1*this.webcamConfig.resizeWidth/this.webcamVideoElement.width,t=1*this.webcamConfig.resizeHeight/this.webcamVideoElement.height,n=(1-e)/2,r=(1-t)/2,a=n+e,s=t+r;this.cropBox=bh([r,n,s,a],[1,4])}else this.cropBox=bh([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(We().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}const n=new TE(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&Q("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,(()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`));try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise((e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}}))}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=ki(this.webcamVideoElement)}catch(e){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(e)}`)}if(!this.resize)return{value:e,done:!1};try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(e){throw new Error(`Error thrown cropping the video: ${e.message}`)}finally{e.dispose()}}needToResize(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)}cropAndResizeFrame(e){return po((()=>{const t=vu(Ks(e,"float32"),0);let n;n=zf.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");const r=n.shape;return Al(n,r.slice(1))}))}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach((e=>e.stop()));try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}}class FE{}class RE extends Qk{split(e){return new OE(this,e)}}class OE extends RE{constructor(e,t){super(),this.upstream=e,this.impl=new ME(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}}class ME extends cE{constructor(e,t){super(),this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){const e=await this.upstream.next();if(e.done)return""!==this.carryover&&(this.outputQueue.push(this.carryover),this.carryover="",!0);const t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(const e of t.slice(0,-1))this.outputQueue.push(e);return this.carryover=t[t.length-1],!0}}class BE extends Qk{decodeUTF8(){return new $E(this)}}class $E extends RE{constructor(e){super(),this.upstream=e,this.impl=new PE(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}}class PE extends cE{constructor(e){if(super(),this.upstream=e,We().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{const{StringDecoder:e}=n(4589);this.decoder=new e("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){const e=await this.upstream.next();let t,n;return!e.done&&(t=e.value,n=We().get("IS_BROWSER")?this.decoder.decode(t,{stream:!0}):this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0)}}class LE extends BE{constructor(e,t={}){super(),this.file=e,this.options=t,Q(e instanceof Uint8Array||!!We().get("IS_BROWSER")&&(e instanceof File||e instanceof Blob),(()=>"FileChunkIterator only supports File, Blob and Uint8Array right now.")),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1048576}summary(){return`FileChunks ${this.file}`}async next(){if(this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size))return{value:null,done:!0};const e=new Promise(((e,t)=>{const n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{const r=new FileReader;r.onload=n=>{let a=r.result;if(a instanceof ArrayBuffer&&(a=new Uint8Array(a)),!(a instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(a)},r.onabort=e=>t(new Error("Aborted")),r.onerror=e=>t(new Error(e.type));const a=this.file.slice(this.offset,n);r.readAsArrayBuffer(a)}this.offset=n}));return{value:await e,done:!1}}}function zE(e){return"string"==typeof e&&"file://"===e.substr(0,7)}class WE extends FE{constructor(e,t={}){super(),this.input=e,this.options=t}async iterator(){if(zE(this.input)&&We().get("IS_NODE")){const e=n(2993);this.input=e.readFileSync(this.input.substr(7))}return new LE(this.input,this.options)}}class UE extends FE{constructor(e,t={}){super(),this.url=e,this.fileOptions=t}async iterator(){return zE(this.url)?new WE(this.url,this.fileOptions).iterator():async function(e,t={}){let n,r;var a;"string"==typeof e?n=e:(n=e.url,r={method:(a=e).method,headers:a.headers,body:a.body,mode:a.mode,credentials:a.credentials,cache:a.cache,redirect:a.redirect,referrer:a.referrer,integrity:a.integrity});const s=await ia(n,r);if(s.ok){const e=new Uint8Array(await s.arrayBuffer());return new LE(e,t)}throw new Error(s.statusText)}(this.url,this.fileOptions)}}function VE(e,t={}){return new AE(new UE(e),t)}function jE(e){const t=Zk(e);return bE((async()=>t))}function HE(e){return bE((async()=>{const t=await e();return Zk((()=>t.next()))}))}async function GE(e,t){return TE.create(e,t)}async function XE(e){return DE.create(e)}const KE="3.6.0";function qE(e,t){Array.isArray(e)||(e=[e]),e.forEach((e=>{null!=e&&Q("complex64"!==e.dtype,(()=>`${t} does not support complex64 tensors in the CPU backend.`))}))}const YE=Ih;class JE extends j{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new V(this,co())}nextDataId(){return JE.nextDataId++}write(e,t,n){this.firstUse&&(this.firstUse=!1,We().get("IS_NODE")&&fd("\n============================\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\n============================"));const r={id:this.nextDataId()};return this.data.set(r,{values:e,dtype:n,refCount:1}),r}makeTensorInfo(e,t,n){let r;if("string"===t&&null!=n&&n.length>0&&ke(n[0])){const a=n.map((e=>oa(e)));r=this.write(a,e,t)}else r=this.write(n,e,t);return{dataId:r,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){this.data.get(e).refCount++}decRef(e){this.data.has(e)&&this.data.get(e).refCount--}move(e,t,n,r,a){this.data.set(e,{values:t,dtype:r,refCount:a})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){const{dtype:t,complexTensorInfos:n}=this.data.get(e);return"complex64"===t?pd(this.readSync(n.real.dataId),this.readSync(n.imag.dataId)):this.data.get(e).values}bufferSync(e){const t=this.readSync(e.dataId);let n=t;if("string"===e.dtype)try{n=t.map((e=>la(e)))}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return Xs(e.shape,e.dtype,n)}makeOutput(e,t,n){const r=this.write(e,t,n);return co().makeTensorFromDataId(r,t,n,this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;const{complexTensorInfos:n}=this.data.get(e);null!=n&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){const t=sa();return e(),{kernelMs:sa()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){qE([e],"where");const t=this.readSync(e.dataId);return YE(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}}function ZE(e,t,n){return({inputs:r,attrs:a,backend:s})=>{const{x:i}=r;if(qE(i,e),"string"===i.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");const o=s,l=o.data.get(i.dataId).values,u=re(i.shape),c=n||i.dtype,h=ge(c,u);for(let e=0;e{const{x:i}=r;if(qE(i,e),"string"===i.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");const o=s,l=o.data.get(i.dataId).values,u=n||i.dtype,c=t(l,u,a);return o.makeTensorInfo(i.shape,u,c)}}JE.nextDataId=0,Eo("cpu",(()=>new JE),1);const eC=ZE(Wt,(e=>e>=0?e:Math.exp(e)-1)),tC={kernelName:Wt,backendName:"cpu",kernelFunc:eC};function nC(e){const{inputs:t,backend:n}=e,{x:r}=t;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}const rC={kernelName:an,backendName:"cpu",kernelFunc:nC};function aC(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{alpha:s}=r;qE([a],"leakyRelu");const i=re(a.shape),o=n.data.get(a.dataId).values,l=me("float32",i);for(let e=0;e{const i=Zo(t,n),o=i.length,l=Ae(i),u=me(s,re(i)),c=t.length,h=n.length,f=Ae(t),d=Ae(n),p=Yo(t,i),m=Yo(n,i);if(p.length+m.length===0)for(let t=0;ts[e]=0));const i=Be(s,c,f),g=n.slice(-h);m.forEach((e=>g[e]=0));const y=Be(g,h,d);u[t]=e(r[i],a[y])}return[u,i]}}const oC=iC(((e,t)=>e<0?t*e:e));function lC(e){const{inputs:t,backend:n}=e,{x:r,alpha:a}=t;qE([r,a],"prelu");const s=n.data.get(r.dataId).values,i=n.data.get(a.dataId).values,[o,l]=oC(r.shape,a.shape,s,i,r.dtype);return n.makeTensorInfo(l,r.dtype,o)}const uC={kernelName:Kn,backendName:"cpu",kernelFunc:lC},cC=ZE(Qn,(e=>Math.max(0,e))),hC={kernelName:Qn,backendName:"cpu",kernelFunc:cC},fC=ZE(sr,(e=>Math.min(Math.max(0,e),6))),dC={kernelName:sr,backendName:"cpu",kernelFunc:fC},pC=ZE(gr,(e=>1/(1+Math.exp(-e)))),mC={kernelName:gr,backendName:"cpu",kernelFunc:pC};function gC(e,t,n,r,a){if("linear"===n)return nC({inputs:{x:t},backend:e});if("relu"===n)return cC({inputs:{x:t},backend:e});if("elu"===n)return eC({inputs:{x:t},backend:e});if("relu6"===n)return fC({inputs:{x:t},backend:e});if("prelu"===n)return lC({inputs:{x:t,alpha:r},backend:e});if("leakyrelu"===n)return aC({inputs:{x:t},backend:e,attrs:{alpha:a}});if("sigmoid"===n)return pC({inputs:{x:t},backend:e});throw new Error(`Activation ${n} has not been implemented for the CPU backend.`)}function yC(e){const{inputs:t,backend:n}=e,{real:r,imag:a}=t,s=n.data.get(r.dataId).values,i=n.data.get(a.dataId).values,o=n.makeTensorInfo(r.shape,"complex64");return n.data.get(o.dataId).complexTensorInfos={real:n.makeTensorInfo(r.shape,"float32",s),imag:n.makeTensorInfo(a.shape,"float32",i)},o}const bC={kernelName:yt,backendName:"cpu",kernelFunc:yC};function vC(e,t,n="float32"){if("complex64"===n)return yC({inputs:{real:vC(e,t,"float32"),imag:vC(e,t,"float32")},backend:e});const r=Re(re(t),n);return e.makeTensorInfo(t,n,r)}function wC(e){const{inputs:t,backend:n}=e,{input:r}=t,a=n.data.get(r.dataId).complexTensorInfos.real,s=n.data.get(a.dataId).values;return n.makeTensorInfo(a.shape,a.dtype,s)}const _C={kernelName:Jn,backendName:"cpu",kernelFunc:wC};function xC(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{dtype:s}=r;if("complex64"===s){if("complex64"===a.dtype)return nC({inputs:{x:a},backend:n});const e=vC(n,a.shape,a.dtype),t=xC({inputs:{x:a},backend:n,attrs:{dtype:"float32"}}),r=yC({inputs:{real:t,imag:e},backend:n});return n.disposeIntermediateTensorInfo(e),n.disposeIntermediateTensorInfo(t),r}if("complex64"===a.dtype){const e=wC({inputs:{input:a},backend:n}),t=xC({inputs:{x:e},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(e),t}if(!ve(a.dtype,s)){const e=nC({inputs:{x:a},backend:n});return{dataId:e.dataId,shape:e.shape,dtype:s}}if("int32"===s){const e=n.data.get(a.dataId).values,t=Int32Array.from(e);return n.makeTensorInfo(a.shape,"int32",t)}if("bool"===s){const e=n.data.get(a.dataId).values,t=aa([0],a.dtype),[r,s]=iC(((e,t)=>e!==t?1:0))(a.shape,[],e,t,"bool");return n.makeTensorInfo(s,"bool",r)}throw new Error(`Error in Cast: failed to cast ${a.dtype} to ${s}`)}const kC={kernelName:pt,backendName:"cpu",kernelFunc:xC};function EC(e,t,n,r){return null==n?({inputs:n,backend:a})=>{const{a:s,b:i}=n,o=a;qE([s,i],e);const l=o.data.get(s.dataId).values,u=o.data.get(i.dataId).values,c=r||s.dtype,[h,f]=t(s.shape,i.shape,l,u,c);return o.makeTensorInfo(f,c,h)}:({inputs:e,backend:a})=>{const{a:s,b:i}=e,o=a;if("complex64"===s.dtype||"complex64"===i.dtype){const e=xC({inputs:{x:s},backend:o,attrs:{dtype:"complex64"}}),t=o.data.get(e.dataId),r=t.complexTensorInfos.real,a=t.complexTensorInfos.imag,l=o.data.get(r.dataId).values,u=o.data.get(a.dataId).values,c=xC({inputs:{x:i},backend:o,attrs:{dtype:"complex64"}}),h=o.data.get(c.dataId),f=h.complexTensorInfos.real,d=h.complexTensorInfos.imag,p=o.data.get(f.dataId).values,m=o.data.get(d.dataId).values,[g,y,b]=n(s.shape,i.shape,l,u,p,m),v=o.makeTensorInfo(b,"float32",g),w=o.makeTensorInfo(b,"float32",y),_=yC({inputs:{real:v,imag:w},backend:o});return o.disposeIntermediateTensorInfo(e),o.disposeIntermediateTensorInfo(c),o.disposeIntermediateTensorInfo(v),o.disposeIntermediateTensorInfo(w),_}{const e=o.data.get(s.dataId).values,n=o.data.get(i.dataId).values,a=r||s.dtype,[l,u]=t(s.shape,i.shape,e,n,a);return o.makeTensorInfo(u,a,l)}}}function CC(e){return(t,n,r,a,s,i)=>{const o=Zo(t,n),l=re(o),u=o.length,c=Ae(o),h=me("float32",l),f=me("float32",l),d=Yo(t,o),p=Yo(n,o),m=pd(r,a),g=pd(s,i),y=t.length,b=Ae(t),v=n.length,w=Ae(n);if(d.length+p.length===0)for(let t=0;tr[e]=0));const a=Be(r,y,b),s=n.slice(-v);p.forEach((e=>s[e]=0));const i=Be(s,v,w),o=e(m[2*a],m[2*a+1],g[2*i],g[2*i+1]);h[t]=o.real,f[t]=o.imag}return[h,f,o]}}const SC=iC(((e,t)=>e+t)),NC=CC(((e,t,n,r)=>({real:e+n,imag:t+r}))),IC=EC(qe,SC,NC),AC={kernelName:qe,backendName:"cpu",kernelFunc:IC};function DC(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{shape:s}=r,i=re(a.shape),o=fe(s,i),l=re(o);Q(i===l,(()=>`The new shape (${o}) has ${l} elements and the old shape (${a.shape}) has ${i} elements. 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e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(r),e.deleteFramebuffer(a),s}(t,n)}return!1}return!!oT(t,"OES_texture_float")&&!!oT(t,"WEBGL_color_buffer_float")&&uT(t)}(hT.getNumber("WEBGL_VERSION")))),hT.registerFlag("WEBGL_FENCE_API_ENABLED",(()=>{return 2===(e=hT.getNumber("WEBGL_VERSION"))&&null!=MD(e).fenceSync;var e})),hT.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",(()=>hT.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0)),hT.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",(()=>-1),(e=>{if(e<0&&-1!==e)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${e}.`)})),hT.registerFlag("WEBGL_FLUSH_THRESHOLD",(()=>Va()&&hT.getBool("IS_CHROME")?1:-1),(e=>{if(e<0&&-1!==e)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${e}.`)}));const mT="\n const float FLOAT_MAX = 1.70141184e38;\n const float FLOAT_MIN = 1.17549435e-38;\n\n lowp vec4 encode_float(highp float v) {\n if (isnan(v)) {\n return vec4(255, 255, 255, 255);\n }\n\n highp float av = abs(v);\n\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n highp float e = floor(log2(av));\n highp float m = exp2(fract(log2(av))) - 1.0;\n\n c[2] = floor(128.0 * m);\n m -= c[2] / 128.0;\n c[1] = floor(32768.0 * m);\n m -= c[1] / 32768.0;\n c[0] = floor(8388608.0 * m);\n\n highp float ebias = e + 127.0;\n c[3] = floor(ebias / 2.0);\n ebias -= c[3] * 2.0;\n c[2] += floor(ebias) * 128.0;\n\n c[3] += 128.0 * step(0.0, -v);\n\n return c / 255.0;\n }\n";class gT{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=BD.DENSE;const t=zD(e),n=fT();this.outputShape=e,this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${dT(["r","c","d"],e)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getA(rc.x, rc.y, rc.z);\n }\n\n ${n.output} = result;\n }\n `}}class yT{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=BD.DENSE;const t=zD(e),n=fT();this.outputShape=e,this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${dT(["r","c","d"],e)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n }\n\n ${n.output} = result;\n }\n `}}class bT{constructor(e){this.variableNames=["A"],this.outTexUsage=$D.DOWNLOAD;const t=fT();this.outputShape=e,this.userCode=`\n ${mT}\n\n void main() {\n float x = getAAtOutCoords();\n ${t.output} = encode_float(x);\n }\n `}}class vT{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=$D.DOWNLOAD;const t=fT();this.outputShape=e,this.userCode=`\n ${mT}\n\n void main() {\n ivec3 coords = getOutputCoords();\n float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n ${t.output} = encode_float(x);\n }\n `}}class wT{constructor(e,t,n=!1){this.variableNames=["A"];const r=fT(),[a,s]=t;this.outputShape=e;let i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode=`\n ${pT(e)}\n\n void main() {\n ivec3 coords = getOutputCoords();\n\n int flatIndex = getFlatIndex(coords);\n int offset = imod(flatIndex, 4);\n\n flatIndex = idiv(flatIndex, 4, 1.);\n\n int r = flatIndex / 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vec2(${s}.0, ${a}.0);\n values = ${r.texture2D}(A, uv);\n\n if(offset == 0) {\n result[${o}] = values[0];\n } else if(offset == 1) {\n result[${o}] = values[1];\n } else if(offset == 2) {\n result[${o}] = values[2];\n } else {\n result[${o}] = values[3];\n }\n }\n }\n `}this.userCode=`\n ${pT(e)}\n\n void main() {\n ivec3 coords = getOutputCoords();\n\n vec4 result = vec4(0.);\n int flatIndex, r, c, offset;\n ivec3 localCoords;\n vec2 uv;\n vec4 values;\n\n ${i}\n\n ${r.output} = ${o};\n }\n `}}function xT(e,t,n,r,a,s){!function(e,t){const n=We().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0)throw new Error(`Requested texture size [${e}x${t}] is invalid.`);if(e>n||t>n)throw new Error(`Requested texture size [${e}x${t}] greater than WebGL maximum on this browser / GPU [${n}x${n}].`)}(t,n);const i=function(e){return QD(e,(()=>e.createTexture()),"Unable to create WebGLTexture.")}(e),o=e.TEXTURE_2D;return VD(e,(()=>e.bindTexture(o,i))),VD(e,(()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE))),VD(e,(()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE))),VD(e,(()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST))),VD(e,(()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST))),VD(e,(()=>e.texImage2D(o,0,r,t,n,0,a,s,null))),VD(e,(()=>e.bindTexture(e.TEXTURE_2D,null))),i}function kT(e){return e.internalFormatFloat}function ET(e){return e.internalFormatHalfFloat}function CT(e){return e.downloadTextureFormat}function ST(e){return e.internalFormatPackedFloat}function NT(e){return e.internalFormatPackedHalfFloat}class IT{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];const t=We().getNumber("WEBGL_VERSION");null!=e?(this.gl=e,function(e,t){RD[e]=t}(t,e)):this.gl=MD(t);let n="WEBGL_color_buffer_float";const r="EXT_color_buffer_half_float";if(1===We().getNumber("WEBGL_VERSION")){const e="OES_texture_float",t="OES_texture_half_float";if(this.textureFloatExtension=HD(this.gl,e),oT(this.gl,t))this.textureHalfFloatExtension=HD(this.gl,t);else if(We().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),oT(this.gl,r))this.colorBufferHalfFloatExtension=HD(this.gl,r);else if(We().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",oT(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!oT(this.gl,r))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(r)}this.vertexBuffer=function(e){return function(e,t){const n=QD(e,(()=>e.createBuffer()),"Unable to 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This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");const e=this.gl;VD(e,(()=>e.finish())),VD(e,(()=>e.bindFramebuffer(e.FRAMEBUFFER,null))),VD(e,(()=>e.deleteFramebuffer(this.framebuffer))),VD(e,(()=>e.bindBuffer(e.ARRAY_BUFFER,null))),VD(e,(()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null))),VD(e,(()=>e.deleteBuffer(this.indexBuffer))),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),function(e,t,n,r){const[a,s]=LD(t,n);return xT(e,a,s,kT(r),r.textureFormatFloat,e.FLOAT)}(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),function(e,t,n,r){const[a,s]=LD(t,n);return xT(e,a,s,ET(r),r.textureFormatFloat,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),function(e,t,n,r){const[a,s]=LD(t,n);return xT(e,a,s,CT(r),e.RGBA,e.UNSIGNED_BYTE)}(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),function(e,t,n){VD(e,(()=>e.bindTexture(e.TEXTURE_2D,t))),n.data instanceof Uint8Array?VD(e,(()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data))):VD(e,(()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n))),VD(e,(()=>e.bindTexture(e.TEXTURE_2D,null)))}(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,n,r){this.throwIfDisposed(),function(e,t,n,r,a,s){let i,o,l;VD(e,(()=>e.bindTexture(e.TEXTURE_2D,t))),a instanceof Uint8Array?(i=new Uint8Array(n*r*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*r*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(a),VD(e,(()=>e.texImage2D(e.TEXTURE_2D,0,l,n,r,0,e.RGBA,o,i))),VD(e,(()=>e.bindTexture(e.TEXTURE_2D,null)))}(this.gl,e,t,n,r,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),function(e,t,n,r){const[a,s]=WD(t,n);return xT(e,a,s,NT(r),e.RGBA,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),function(e,t,n,r){const[a,s]=WD(t,n);return xT(e,a,s,ST(r),e.RGBA,e.FLOAT)}(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(JD(this.gl,this.framebuffer),this.outputTexture=null),VD(this.gl,(()=>this.gl.deleteTexture(e)))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,n){return this.downloadMatrixDriver(e,(()=>function(e,t,n,r){const[a,s]=LD(t,n),i=new Uint8Array(t*n*4);return VD(e,(()=>e.readPixels(0,0,a,s,r.downloadTextureFormat,e.UNSIGNED_BYTE,i))),new Float32Array(i.buffer)}(this.gl,t,n,this.textureConfig)))}downloadPackedMatrixFromBuffer(e,t,n,r,a,s){return function(e,t,n,r,a,s,i,o){const l=e,u=new Float32Array(function(e,t){const[n,r]=WD(e,t);return n*r*4}(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}(this.gl,e,0,0,0,a,s,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return function(e,t,n){const r=e,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}(this.gl,e,t)}createBufferFromTexture(e,t,n){this.bindTextureToFrameBuffer(e);const r=function(e,t,n,r){const a=e.createBuffer();VD(e,(()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,a)));const s=16*t*n;return VD(e,(()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ))),VD(e,(()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0))),VD(e,(()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null))),a}(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r}createAndWaitForFence(){const e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,n;if(We().getBool("WEBGL_FENCE_API_ENABLED")){const r=e,a=r.fenceSync(r.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=()=>{const e=r.clientWaitSync(a,0,0);return e===r.ALREADY_SIGNALED||e===r.CONDITION_SATISFIED},t=a}else We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(t,We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):n=()=>!0;return{query:t,isFencePassed:n}}downloadMatrixFromPackedTexture(e,t,n){return this.downloadMatrixDriver(e,(()=>function(e,t,n){const r=new Float32Array(t*n*4);return VD(e,(()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r))),r}(this.gl,t,n)))}createProgram(e){this.throwIfDisposed();const t=this.gl,n=function(e,t){const n=QD(e,(()=>e.createShader(e.FRAGMENT_SHADER)),"Unable to create fragment WebGLShader.");if(VD(e,(()=>e.shaderSource(n,t))),VD(e,(()=>e.compileShader(n))),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw function(e,t){const n=GD.exec(t);if(null==n)return console.log(`Couldn't parse line number in error: ${t}`),void console.log(e);const r=+n[1],a=e.split("\n"),s=a.length.toString().length+2,i=a.map(((e,t)=>ce((t+1).toString(),s)+e));let o=0;for(let e=0;ee.createShader(e.VERTEX_SHADER)),"Unable to create vertex WebGLShader.");if(VD(e,(()=>e.shaderSource(n,t))),VD(e,(()=>e.compileShader(n))),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}(e,`${t.version}\n precision highp float;\n ${t.attribute} vec3 clipSpacePos;\n ${t.attribute} vec2 uv;\n ${t.varyingVs} vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }`)}(t));const r=function(e){return QD(e,(()=>e.createProgram()),"Unable to create WebGLProgram.")}(t);return VD(t,(()=>t.attachShader(r,this.vertexShader))),VD(t,(()=>t.attachShader(r,n))),function(e,t){if(VD(e,(()=>e.linkProgram(t))),!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}(t,r),this.debug&&XD(t,r),this.vertexAttrsAreBound||(this.setProgram(r),this.vertexAttrsAreBound=function(e,t,n){return VD(e,(()=>e.bindBuffer(e.ARRAY_BUFFER,n))),KD(e,t,"clipSpacePos",n,3,20,0)&&KD(e,t,"uv",n,2,20,12)}(t,this.program,this.vertexBuffer)),r}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&VD(this.gl,(()=>this.gl.deleteProgram(e)))}setProgram(e){this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&XD(this.gl,this.program),VD(this.gl,(()=>this.gl.useProgram(e)))}getUniformLocation(e,t,n=!0){return this.throwIfDisposed(),n?function(e,t,n){return QD(e,(()=>e.getUniformLocation(t,n)),'uniform "'+n+'" not present in program.')}(this.gl,e,t):function(e,t,n){return e.getUniformLocation(t,n)}(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),VD(this.gl,(()=>this.gl.getAttribLocation(e,t)))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),qD(this.gl,e,t,n)}setOutputMatrixTexture(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}setOutputPackedMatrixTexture(e,t,n){this.throwIfDisposed();const[r,a]=WD(t,n);this.setOutputMatrixTextureDriver(e,r,a)}setOutputMatrixWriteRegion(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)}setOutputPackedMatrixWriteRegion(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){null!=this.program&&XD(this.gl,this.program),ZD(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();const e=this.gl;this.debug&&this.debugValidate(),VD(e,(()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),VD(this.gl,(()=>this.gl.finish()))}getQueryTimerExtension(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=HD(this.gl,2===We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(2===We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){const e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}const e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(2===We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){const e=this.gl,t=this.getQueryTimerExtensionWebGL2();return void e.endQuery(t.TIME_ELAPSED_EXT)}const e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await he((()=>this.disposed||this.isQueryAvailable(e,We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")))),this.getQueryTime(e,We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(e,t){if(0===t)return null;if(2===t){const t=this.gl;return t.getQueryParameter(e,t.QUERY_RESULT)/1e6}{const t=this.getQueryTimerExtensionWebGL1();return t.getQueryObjectEXT(e,t.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(0===t)return!0;if(2===t){const t=this.gl,n=this.getQueryTimerExtensionWebGL2(),r=t.getQueryParameter(e,t.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),r&&!this.disjoint}{const t=this.getQueryTimerExtensionWebGL1(),n=t.getQueryObjectEXT(e,t.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(t.GPU_DISJOINT_EXT)),n&&!this.disjoint}}pollFence(e){return new Promise((t=>{this.addItemToPoll((()=>e.isFencePassed()),(()=>t()))}))}pollItems(){const e=function(e){let t=0;for(;te.isDoneFn)));for(let t=0;t<=e;++t){const{resolveFn:e}=this.itemsToPoll[t];e()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||he((()=>(this.pollItems(),0===this.itemsToPoll.length)))}bindTextureToFrameBuffer(e){this.throwIfDisposed(),YD(this.gl,e,this.framebuffer),this.debug&&ZD(this.gl)}unbindTextureToFrameBuffer(){null!=this.outputTexture?(YD(this.gl,this.outputTexture,this.framebuffer),this.debug&&ZD(this.gl)):JD(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);const n=t();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(e,t,n){this.throwIfDisposed();const r=this.gl;YD(r,e,this.framebuffer),this.debug&&ZD(r),this.outputTexture=e,VD(r,(()=>r.viewport(0,0,t,n))),VD(r,(()=>r.scissor(0,0,t,n)))}setOutputMatrixWriteRegionDriver(e,t,n,r){this.throwIfDisposed(),VD(this.gl,(()=>this.gl.scissor(e,t,n,r)))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(null==this.program)throw new Error("No GPU program is currently set.")}}const{getBroadcastDims:AT}=g;function DT(e,t,n,r){const a=[];e.forEach((e=>{const t=re(e.shapeInfo.logicalShape);e.shapeInfo.isUniform?a.push(`uniform float ${e.name}${t>1?`[${t}]`:""};`):(a.push(`uniform sampler2D ${e.name};`),a.push(`uniform int offset${e.name};`))}));const s=a.join("\n"),i=e.map((e=>function(e,t,n=!1){let r="";r+=n?FT(e):TT(e);const a=e.shapeInfo.logicalShape,s=t.logicalShape;return a.length<=s.length&&(r+=n?function(e,t){const n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=AT(e.shapeInfo.logicalShape,t.logicalShape),l=LT(i),u=i-s;let c;const h=["x","y","z","w","u","v"];c=0===s?"":i<2&&o.length>=1?"coords = 0;":o.map((e=>`coords.${h[e+u]} = 0;`)).join("\n");let f="";f=i<2&&s>0?"coords":e.shapeInfo.logicalShape.map(((e,t)=>`coords.${h[t+u]}`)).join(", ");let d="return outputValue;";const p=1===re(e.shapeInfo.logicalShape),m=1===re(t.logicalShape);if(1!==s||p||m){if(p&&!m)d=1===i?"\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n ":"\n return vec4(outputValue.x);\n ";else if(o.length){const e=s-2,t=s-1;o.indexOf(e)>-1&&o.indexOf(t)>-1?d="return vec4(outputValue.x);":o.indexOf(e)>-1?d="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(t)>-1&&(d="return vec4(outputValue.xx, outputValue.zz);")}}else d="\n return vec4(outputValue.xy, outputValue.xy);\n ";return`\n vec4 ${a}() {\n ${l} coords = getOutputCoords();\n ${c}\n vec4 outputValue = get${r}(${f});\n ${d}\n }\n `}(e,t):function(e,t){const n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&null==e.shapeInfo.flatOffset&&se(i,s))return`\n float ${a}() {\n return sampleTexture(${n}, resultUV);\n }\n `;const u=LT(l),c=AT(e.shapeInfo.logicalShape,t.logicalShape),h=l-o;let f;const d=["x","y","z","w","u","v"];f=0===o?"":l<2&&c.length>=1?"coords = 0;":c.map((e=>`coords.${d[e+h]} = 0;`)).join("\n");let p="";return p=l<2&&o>0?"coords":e.shapeInfo.logicalShape.map(((e,t)=>`coords.${d[t+h]}`)).join(", "),`\n float ${a}() {\n ${u} coords = getOutputCoords();\n ${f}\n return get${r}(${p});\n }\n `}(e,t)),r}(e,t,r))).join("\n"),o=t.texShape,l=fT(),u=function(e){return`\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ${e.texture2D}(textureSampler, uv).r;\n }\n `}(l);let c,h,f=function(e){return`${e.version}\n precision highp float;\n precision highp int;\n precision highp sampler2D;\n ${e.varyingFs} vec2 resultUV;\n ${e.defineOutput}\n const vec2 halfCR = vec2(0.5, 0.5);\n\n struct ivec5\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n };\n\n struct ivec6\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n int v;\n };\n\n uniform float NAN;\n ${e.defineSpecialNaN}\n ${e.defineSpecialInf}\n ${e.defineRound}\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n int idiv(int a, int b, float sign) {\n int res = a / b;\n int mod = imod(a, b);\n if (sign < 0. && mod != 0) {\n res -= 1;\n }\n return res;\n }\n\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n #define HASHSCALE1 443.8975\n float random(float seed){\n vec2 p = resultUV * seed;\n vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 += dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ${RT}\n ${OT}\n ${MT}\n `}(l);return t.isPacked?(c=function(e,t){switch(e.length){case 0:return"\n int getOutputCoords() {\n return 0;\n }\n ";case 1:return function(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return 1===n[0]?`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ${n[1]}.0);\n }\n `:1===n[1]?`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ${n[0]}.0);\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n return 2 * (resTexRC.x * ${n[1]} + resTexRC.y);\n }\n `}(0,t);case 2:return function(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(se(e,t))return`\n ivec2 getOutputCoords() {\n return 2 * ivec2(resultUV.yx * vec2(${n[0]}, ${n[1]}));\n }\n `;const r=Math.ceil(e[1]/2);return`\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n\n int index = resTexRC.x * ${n[1]} + resTexRC.y;\n int r = 2 * (index / ${r});\n int c = imod(index, ${r}) * 2;\n\n return ivec2(r, c);\n }\n `}(e,t);case 3:return function(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),a=r*Math.ceil(e[1]/2);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n int index = resTexRC.x * ${n[1]} + resTexRC.y;\n\n int b = index / ${a};\n index -= b * ${a};\n\n int r = 2 * (index / ${r});\n int c = imod(index, ${r}) * 2;\n\n return ivec3(b, r, c);\n }\n `}(e,t);default:return function(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),a=r*Math.ceil(e[e.length-2]/2);let s=a,i="",o="b, r, c";for(let t=2;te[t])).join(", ")}function UT(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach(((e,n)=>{const r=e.logicalShape,a=t[n],s=a.shape;if(!se(r,s))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${s} must match`);if(e.isUniform&&a.isUniform)return;const i=e.texShape,o=a.isUniform?null:a.texData.texShape;if(!se(i,o))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${i} and ${o} must match`)}))}const{addImpl:VT,bincountImpl:jT,bincountReduceImpl:HT,ceilImpl:GT,concatImpl:XT,expImpl:KT,expm1Impl:qT,floorImpl:YT,gatherV2Impl:JT,greaterImpl:ZT,lessImpl:QT,linSpaceImpl:eF,logImpl:tF,maxImpl:nF,maximumImpl:rF,minimumImpl:aF,multiplyImpl:sF,negImpl:iF,prodImpl:oF,rangeImpl:lF,rsqrtImpl:uF,simpleAbsImpl:cF,sliceImpl:hF,sparseFillEmptyRowsImpl:fF,sparseReshapeImpl:dF,stridedSliceImpl:pF,subImpl:mF,tileImpl:gF,topKImpl:yF,transposeImpl:bF,uniqueImpl:vF}=U;function wF(e,t){return["x","y","z","w","u","v"].slice(0,t).map((t=>`${e}.${t}`))}function _F(e,t){return 1===t?[e]:wF(e,t)}class xF{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;const t=e.length;if(0===t)this.userCode="\n void main() {\n setOutput(vec4(getA(), 0., 0., 0.));\n }\n ";else{const n=_F("rc",t),r=LT(t),a=function(e,t,n){if(1===e)return`rc > ${t[0]}`;let r="";for(let a=e-2;a= ${t[a]}`,a= ${t};\n bool rEdge = rp1 >= ${n};\n `}(t,e[e.length-1],e[e.length-2],n),i=function(e,t){const n=e.length,r=function(e,t){const n=[];for(let r=0;r<=1;r++)for(let a=0;a<=1;a++){let s=`${0===r?"r":"rp1"}, ${0===a?"c":"cp1"}`;for(let n=2;n= ${e[0]} ? 0. : getA(rc + 1),\n 0, 0`:`getA(${r[0]}),\n cEdge ? 0. : getA(${r[1]}),\n rEdge ? 0. : getA(${r[2]}),\n rEdge || cEdge ? 0. : getA(${r[3]})`}(e,n);this.userCode=`\n void main() {\n ${r} rc = getOutputCoords();\n\n if(${a}) {\n setOutput(vec4(0));\n } else {\n ${s}\n\n setOutput(vec4(${i}));\n }\n }\n `}}}class kF{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let e=0;e<4;e++){let t="thisRC = rc;";e%2==1&&(t+="thisRC.z += 1;"),e>1&&(t+="thisRC.y += 1;"),n+=`\n ${t}\n ${e>0?"if(thisRC.y < rows && thisRC.z < cols){":""}\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[${e}] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ${e>0?"}":""}\n `}var r;this.userCode=`\n ${r=t,`\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ${dT(["r","c","d"],r)}\n return ivec3(r, c, d);\n }\n `}\n ${pT(e)}\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ${e[1]};\n int cols = ${e[2]};\n\n ${n}\n\n setOutput(result);\n }\n `}}class EF{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){const r=SF(t,n),a=NF(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);const s=CF(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();const e=this.freeTextures[a].shift();return this.usedTextures[a].push(e),e}let i;return r===PD.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===PD.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===PD.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===PD.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===PD.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,r){if(null==this.freeTextures)return;const a=SF(n,r),s=NF(t,a,r);s in this.freeTextures||(this.freeTextures[s]=[]);const i=CF(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),o=We().get("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==o&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;const l=this.usedTextures[s],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;const e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);const t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(null!=this.freeTextures){for(const e in this.freeTextures)this.freeTextures[e].forEach((e=>{this.gpgpu.deleteMatrixTexture(e)}));for(const e in this.usedTextures)this.usedTextures[e].forEach((e=>{this.gpgpu.deleteMatrixTexture(e)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}function CF(e,t,n,r,a){const s=function(e,t){switch(e){case PD.PACKED_2X2_FLOAT32:return ST(t);case PD.PACKED_2X2_FLOAT16:return NT(t);case PD.UNPACKED_FLOAT32:return kT(t);case PD.UNPACKED_FLOAT16:return ET(t);case PD.PACKED_4X1_UNSIGNED_BYTE:return CT(t);default:throw new Error(`Unknown physical texture type ${e}`)}}(t,r);let i;if(a){const[t,n]=WD(e[0],e[1]);i=t*n}else{const[t,n]=LD(e[0],e[1]);i=t*n}return i*function(e,t){const n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;throw new Error(`Unknown internal format ${t}`)}(n,s)}function SF(e,t){if(e===$D.UPLOAD)return PD.PACKED_2X2_FLOAT32;if(e===$D.RENDER||null==e)return function(e){return We().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?PD.PACKED_2X2_FLOAT32:PD.UNPACKED_FLOAT32:e?PD.PACKED_2X2_FLOAT16:PD.UNPACKED_FLOAT16}(t);if(e===$D.DOWNLOAD||e===$D.PIXELS)return PD.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function NF(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}class IF{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode=`\n float unaryOperation(float x) {\n ${t}\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n `}}const AF="return abs(x);",DF="return x;";class TF{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode=`\n vec4 unaryOperation(vec4 x) {\n ${t}\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n `}}class FF{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;const t=e.length,n=_F("rc",t),r=LT(t),a=function(e,t){if(1===e)return"rc";let n="";for(let r=0;rt.push(e)))}const t=this.texData.get(e),{values:n,shape:r,slice:a,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(null!=a){let t;t=o?new TF(r,DF):new IF(r,DF);const n=this.runWebGLProgram(t,[{dataId:e,shape:r,dtype:s}],s),a=this.read(n.dataId);return this.disposeIntermediateTensorInfo(n),a}if(null!=n)return this.convertAndCacheOnCPU(e);if(!We().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===We().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l,u,c=null;if("complex64"!==s&&We().get("WEBGL_BUFFER_SUPPORTED")){l=this.decode(e);const t=this.texData.get(l.dataId);c=this.gpgpu.createBufferFromTexture(t.texture,...zD(r))}if(this.pendingRead.set(e,[]),"complex64"!==s&&await this.gpgpu.createAndWaitForFence(),"complex64"===s){const e=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]);u=pd(e[0],e[1])}else if(null==c)u=this.getValuesFromTexture(e);else{const e=re(r);u=this.gpgpu.downloadFloat32MatrixFromBuffer(c,e)}null!=l&&this.disposeIntermediateTensorInfo(l);const h=this.convertAndCacheOnCPU(e,u),f=this.pendingRead.get(e);return this.pendingRead.delete(e),f.forEach((e=>e(h))),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&co().removeDataId(e,this),this.pendingDeletes--),h}bufferSync(e){const t=this.readSync(e.dataId);let n=t;if("string"===e.dtype)try{n=t.map((e=>la(e)))}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return Xs(e.shape,e.dtype,n)}checkNumericalProblems(e){if(null!=e)for(let t=0;t0}async time(e){const t=this.activeTimers,n=[];let r=!1;null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e();const a=ne(this.activeTimers.map((e=>e.query))).filter((e=>null!=e)),s=ne(this.activeTimers.map((e=>e.name))).filter((e=>null!=e));this.activeTimers=t,r&&(this.programTimersStack=null);const i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};if(We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){const e=await Promise.all(a);i.kernelMs=Y(e),i.getExtraProfileInfo=()=>e.map(((e,t)=>({name:s[t],ms:e}))).map((e=>`${e.name}: ${e.ms}`)).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:sa(),endMs:null}}endTimer(e){return We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=sa(),e)}async getQueryTime(e){if(We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);const t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);const{complexTensorInfos:n}=this.texData.get(e);return null!=n&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){const{texture:t,dtype:n,texShape:r,usage:a,isPacked:s,slice:i}=this.texData.get(e),o=i&&i.origDataId||e,l=this.dataRefCount.get(o);l>1?this.dataRefCount.set(o,l-1):(this.dataRefCount.delete(o),null!=t&&(this.numBytesInGPU-=this.computeBytes(r,n),this.textureManager.releaseTexture(t,r,a,s)));const u=this.texData.get(e);u.texture=null,u.texShape=null,u.isPacked=!1,u.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=128){return We().getBool("WEBGL_CPU_FORWARD")&&e.every((e=>null==this.texData.get(e.dataId).texture&&re(e.shape)0&&ke(n[0])){const a=n.map((e=>oa(e)));r=this.write(a,e,t)}else r=this.write(n,e,t);return this.texData.get(r).usage=null,{dataId:r,shape:e,dtype:t}}makeOutput(e,t,n){const{dataId:r}=this.makeTensorInfo(e,t,n);return co().makeTensorFromDataId(r,e,t,this)}unpackTensor(e){const t=new FF(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){const t=new xF(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}packedReshape(e,t){const n=[eT(e.shape),...tT(e.shape)],r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[eT(t),...tT(t)],s=new kF(a,n),i=this.runWebGLProgram(s,[r],e.dtype,null,!0);return{dataId:i.dataId,shape:t,dtype:i.dtype}}decode(e){const t=this.texData.get(e),{isPacked:n,shape:r,dtype:a}=t,s=nT(r);let i;return i=n?new yT(s):new gT(s),{dtype:a,shape:r,dataId:this.runWebGLProgram(i,[{shape:s,dtype:a,dataId:e}],a,null,!0).dataId}}runWebGLProgram(e,t,n,r,a=!1){const s=this.makeTensorInfo(e.outputShape,n),i=this.texData.get(s.dataId);if(e.packedOutput&&(i.isPacked=!0),e.outPackingScheme===BD.DENSE){const t=zD(e.outputShape);i.texShape=t.map((e=>2*e))}if(null!=e.outTexUsage&&(i.usage=e.outTexUsage),0===re(s.shape))return i.values=me(s.dtype,0),s;const o=[],l=t.map((t=>{if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let n=this.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&re(t.shape)<=We().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:n.values};e.packedInputs&&(n.isPacked=!0,n.shape=t.shape)}else if(!!n.isPacked!=!!e.packedInputs)t=n.isPacked?this.unpackTensor(t):this.packTensor(t),o.push(t),n=this.texData.get(t.dataId);else if(n.isPacked&&!aT(n.shape,t.shape)){const e=t,r=t.shape;t.shape=n.shape,t=this.packedReshape(t,r),o.push(t),n=this.texData.get(t.dataId),e.shape=r}return this.uploadToGPU(t.dataId),{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);const u={shape:s.shape,texData:i,isUniform:!1},c=function(e,t,n){let r="";t.concat(n).forEach((e=>{const t=null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0,n=e.isUniform?"uniform":e.texData.texShape;r+=`${e.shape}_${n}_${t}`}));const a=e.userCode;let s=e.constructor.name;return s+="_"+r+"_"+a,s}(e,l,u),h=this.getAndSaveBinary(c,(()=>function(e,t,n,r){const a=t.userCode,s=n.map(((e,n)=>{const r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked,flatOffset:null};return null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0&&(r.flatOffset=e.texData.slice.flatOffset),{name:t.variableNames[n],shapeInfo:r}})),i=s.map((e=>e.shapeInfo)),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},l=DT(s,o,a,t.packedInputs),u=e.createProgram(l);let c=null;const h=e.getUniformLocation(u,"NAN",!1);1===We().getNumber("WEBGL_VERSION")&&(c=e.getUniformLocation(u,"INFINITY",!1));const f={};for(let n=0;n{const a=t.program.variableNames[r],s=t.uniformLocations[a],i=t.uniformLocations[`offset${a}`];if(null!=s)if(n.isUniform)if(re(n.shape)<2)e.gl.uniform1f(s,n.uniformValues[0]);else{let t=n.uniformValues;t instanceof Float32Array||(t=new Float32Array(t)),e.gl.uniform1fv(s,t)}else null!=n.texData.slice&&null!=i&&e.gl.uniform1i(i,n.texData.slice.flatOffset),e.setInputMatrixTexture(n.texData.texture,s,r)})),null!=a&&a(e,t.webGLProgram),e.executeProgram()}(this.gpgpu,h,l,u,r),o.forEach((e=>this.disposeIntermediateTensorInfo(e))),f&&(d=this.endTimer(d),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(d)}));const p=We().get("WEBGL_FLUSH_THRESHOLD");if(p>0){const e=sa();e-this.lastGlFlushTime>p&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=e)}if(!We().getBool("WEBGL_LAZILY_UNPACK")&&i.isPacked&&!1===a){const e=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),e}return s}compileAndRun(e,t,n,r,a=!1){return n=n||t[0].dtype,this.runWebGLProgram(e,t,n,r,a)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(We().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach((e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]})),this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return null==this.floatPrecisionValue&&(this.floatPrecisionValue=po((()=>{if(!We().get("WEBGL_RENDER_FLOAT32_ENABLED")){const e=We().getBool("DEBUG");We().set("DEBUG",!1);const t=this.abs(Wo(1e-8)).dataSync()[0];if(We().set("DEBUG",e),t>0)return 32}return 16}))),this.floatPrecisionValue}epsilon(){return 32===this.floatPrecision()?1e-7:1e-4}uploadToGPU(e){const t=this.texData.get(e),{shape:n,dtype:r,values:a,texture:s,usage:i,isPacked:o}=t;if(null!=s)return;const l=null!=this.activeTimers;let u;l&&(u=sa());let c=t.texShape;if(null==c&&(c=function(e,t=!1){let n=We().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t&&(n*=2,1===(e=e.map(((t,n)=>n>=e.length-2?q(e[n]):e[n]))).length&&(e=[2,e[0]])),2!==e.length){const t=pe(e);e=t.newShape}let r=re(e);if(e.length<=1&&r<=n)return[1,r];if(2===e.length&&e[0]<=n&&e[1]<=n)return e;if(3===e.length&&e[0]*e[1]<=n&&e[2]<=n)return[e[0]*e[1],e[2]];if(3===e.length&&e[0]<=n&&e[1]*e[2]<=n)return[e[0],e[1]*e[2]];if(4===e.length&&e[0]*e[1]*e[2]<=n&&e[3]<=n)return[e[0]*e[1]*e[2],e[3]];if(4===e.length&&e[0]<=n&&e[1]*e[2]*e[3]<=n)return[e[0],e[1]*e[2]*e[3]];if(t){const t=eT(e);let n=2,a=2;return e.length&&([n,a]=tT(e)),r=t*(n/2)*(a/2),le(r).map((e=>2*e))}return le(r)}(n,o),t.texShape=c),null!=a){const e=nT(n);let s,i=c[1],h=c[0];const f=a instanceof Uint8Array;o?([i,h]=WD(c[0],c[1]),s=new _T(e,[h,i],f)):s=new wT(e,[h,i],f);const d=this.makeTensorInfo([h,i],r);this.texData.get(d.dataId).usage=f?$D.PIXELS:$D.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(d.dataId),i,h,a);const p=!0,m=this.runWebGLProgram(s,[d],r,null,p),g=this.texData.get(m.dataId);t.texture=g.texture,t.texShape=g.texShape,t.isPacked=g.isPacked,t.usage=g.usage,this.disposeIntermediateTensorInfo(d),this.texData.delete(m.dataId),t.values=null,l&&(this.uploadWaitMs+=sa()-u)}else{const e=this.acquireTexture(c,i,r,o);t.texture=e}}convertAndCacheOnCPU(e,t){const n=this.texData.get(e),{dtype:r}=n;return this.releaseGPUData(e),null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){const n="int32"===t?new Int32Array(e.length):new Uint8Array(e.length);for(let t=0;t1024*this.numMBBeforeWarning*1024){const e=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${e} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,r)}computeBytes(e,t){return e[0]*e[1]*_e(t)}}MF.nextDataId=0,ja()&&Eo("webgl",(()=>new MF),2);class BF{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=Zo(t,n),this.userCode=`\n float binaryOperation(float a, float b) {\n ${e}\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n `}}class $F{constructor(e,t,n,r=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Zo(t,n);const a=this.outputShape.length;let s="";if(r)if(0===a||1===re(this.outputShape))s="\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n ";else if(s=`\n ${LT(a)} coords = getOutputCoords();\n `,1===a)s+=`\n result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `;else{const e=_F("coords",a);s+=`\n bool nextRowOutOfBounds =\n (${e[a-2]} + 1) >= ${this.outputShape[a-2]};\n bool nextColOutOfBounds =\n (${e[a-1]} + 1) >= ${this.outputShape[a-1]};\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `}this.userCode=`\n vec4 binaryOperation(vec4 a, vec4 b) {\n ${e}\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n ${s}\n\n setOutput(result);\n }\n `}}function PF(e){const{inputs:t,backend:n}=e,{x:r}=t;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}const LF={kernelName:an,backendName:"webgl",kernelFunc:PF};function zF(e){const{inputs:t,backend:n}=e,{real:r,imag:a}=t,s=n.makeTensorInfo(r.shape,"complex64"),i=n.texData.get(s.dataId),o=PF({inputs:{x:r},backend:n}),l=PF({inputs:{x:a},backend:n});return i.complexTensorInfos={real:o,imag:l},s}const WF={kernelName:yt,backendName:"webgl",kernelFunc:zF},UF="return (a < 0.) ? b * a : a;",VF="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",jF={kernelName:hn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{alpha:s}=r,i=n.makeTensorInfo([],"float32",ra(s,"float32")),o=We().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new $F(VF,a.shape,i.shape):new BF(UF,a.shape,i.shape),l=n.runWebGLProgram(o,[a,i],a.dtype);return n.disposeIntermediateTensorInfo(i),l}},HF="return (a < 0.) ? b * a : a;",GF="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",XF={kernelName:Kn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{x:r,alpha:a}=t,s=We().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new $F(GF,r.shape,a.shape):new BF(HF,r.shape,a.shape);return n.runWebGLProgram(s,[r,a],r.dtype)}};function KF({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:r}){return({inputs:a,backend:s})=>{const{x:i}=a,o=s,l=r||i.dtype;if(o.shouldExecuteOnCPU([i])&&null!=n){const e=o.texData.get(i.dataId),t=n(e.values,l);return o.makeTensorInfo(i.shape,l,t)}let u;return u=We().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&null!=t?new TF(i.shape,t):new IF(i.shape,e),o.runWebGLProgram(u,[i],l)}}function qF({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:r=!1,cpuKernelImpl:a,dtype:s}){return({inputs:i,backend:o})=>{const{a:l,b:u}=i,c=o;if(r&&"complex64"===l.dtype){const t=c.texData.get(l.dataId),n=c.texData.get(u.dataId),[r,a]=[[t.complexTensorInfos.real,n.complexTensorInfos.real],[t.complexTensorInfos.imag,n.complexTensorInfos.imag]].map((t=>{const[n,r]=t,a={dataId:n.dataId,dtype:n.dtype,shape:l.shape},s={dataId:r.dataId,dtype:r.dtype,shape:u.shape},i=new BF(e,l.shape,u.shape);return c.runWebGLProgram(i,[a,s],Da(n.dtype,r.dtype))})),s=zF({inputs:{real:r,imag:a},backend:c});return c.disposeIntermediateTensorInfo(r),c.disposeIntermediateTensorInfo(a),s}const h=s||Da(l.dtype,u.dtype);if(c.shouldExecuteOnCPU([l,u])&&null!=a){const e=c.texData.get(l.dataId),t=c.texData.get(u.dataId),[n,r]=a(l.shape,u.shape,e.values,t.values,h),s=c.makeTensorInfo(r,h);return c.texData.get(s.dataId).values=n,s}let f;return f=We().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=t?new $F(t,l.shape,u.shape,n):new BF(e,l.shape,u.shape),c.runWebGLProgram(f,[l,u],h)}}function YF(e,t=!1){if("linear"===e)return"return x;";if("relu"===e)return t?"\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n":"if (isnan(x)) return x;\n return (x < 0.0) ? 0.0 : x;\n";if("elu"===e)return t?"\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n":"return (x >= 0.0) ? x : (exp(x) - 1.0);";if("relu6"===e)return t?"\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n":"if (isnan(x)) return x;\n return (x < 0.0) ? 0.0 : min(6.0, x);\n";if("prelu"===e)return t?GF:HF;if("leakyrelu"===e)return t?VF:UF;if("sigmoid"===e)return"return 1.0 / (1.0 + exp(-1.0 * x));";throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}class JF{constructor(e,t,n,r=!1,a=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;const u=r?e[1]:e[2],c=Math.ceil(u/2),h=r?"i * 2, rc.y":"rc.y, i * 2",f=a?"rc.z, i * 2":"i * 2, rc.z",d=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],p=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"];let m="",g="";i&&(m=o?`vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ${i}\n }`:l?`vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ${i}\n }`:`vec4 activation(vec4 x) {\n ${i}\n }`,g="result = activation(result);");const y=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let b="rc.x",v="rc.x";e[0]`The new shape (${l}) has ${u} elements and the old shape (${a.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`));const c=i.texData.get(a.dataId);return!c.isPacked||aT(a.shape,l)||null!==c.texture&&aT(c.shape,l)?(i.incRef(a.dataId),{dataId:a.dataId,shape:l,dtype:a.dtype}):function(e,t,n){const r=[eT(e.shape),...tT(e.shape)],a={dtype:e.dtype,shape:r,dataId:e.dataId},s=[eT(t),...tT(t)],i=new kF(s,r),o=n.runWebGLProgram(i,[a],e.dtype,null,!0);return{dataId:o.dataId,shape:t,dtype:o.dtype}}(a,l,i)}const rR={kernelName:er,backendName:"webgl",kernelFunc:nR};class aR{constructor(e,t){this.variableNames=["x"];const{windowSize:n,batchSize:r,inSize:a,outSize:s}=e;this.outputShape=[r,s];const i=4*Math.floor(n/4),o=n%4;let l="sumValue += dot(values, ones);";if(null!=t){const e=1/t;l=`sumValue += dot(values * ${ie(e)?e.toPrecision(2):e}, ones);`}let u="";a%n>0&&(u=`\n if (inIdx < 0 || inIdx >= ${a}) {\n return 0.0;\n }\n `),this.userCode=`\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${u}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${i}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${l}\n }\n\n int inIdx = inOffset + ${i};\n if (${1===o}) {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n ${l}\n } else if (${2===o}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n ${l}\n } else if (${3===o}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n ${l}\n }\n setOutput(sumValue);\n }\n `}}class sR{constructor(e,t){this.variableNames=["x"];const{windowSize:n,batchSize:r,inSize:a,outSize:s}=e;this.outputShape=[r,s];let i="0.0",o="";"prod"===t?i="1.0":"min"===t?(i="1.0 / 1e-20",o="min"):"max"===t&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;"sum"===t?l="sumValue":"prod"===t?l="prodValue":"all"===t?l="allValue":"any"===t&&(l="anyValue");const u=4*Math.floor(n/4),c=n%4;let h=`\n if (${"sum"===t}) {\n sumValue += dot(values, ones);\n } else if (${"prod"===t}) {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = ${o}(values, minMaxValue);\n }\n `,f="vec4";"all"===t?(i="1.0",h="\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n ",f="bvec4"):"any"===t&&(i="0.0",h="\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n ",f="bvec4");let d="";a%n>0&&(d=`\n if (inIdx < 0 || inIdx >= ${a}) {\n return initializationValue;\n }\n `),this.userCode=`\n const float initializationValue = ${i};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${d}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n vec4 minMaxValue = vec4(${i});\n float prodValue = 1.0;\n float sumValue = 0.0;\n float allValue = 1.0;\n float anyValue = 0.0;\n\n for (int i = 0; i < ${u}; i += 4) {\n int inIdx = inOffset + i;\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${h}\n }\n\n int inIdx = inOffset + ${u};\n if (${1===c}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${h}\n } else if (${2===c}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n ${h}\n } else if (${3===c}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n ${h}\n }\n setOutput(${l});\n }\n `}}function iR(e,t,n,r){const a=function(e){const t=[];for(;0===t.length||1!==t[t.length-1].outSize;){const n=t.length?t[t.length-1].outSize:e[1],r=Jf(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape);let s=e;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);const n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t);for(let t=0;t6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);const r=LT(this.rank),a=wF("rc",this.rank),s=new Array(this.rank);for(let e=0;e=2&&c>=2&&(y===b||1===y||1===b),(()=>`Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${m}) and (${g}).`));const v=(y>b?e.shape.slice(0,-2):t.shape.slice(0,-2)).concat([d,p]);Q(h===f,(()=>`Error in matMul: inner shapes (${h}) and (${f}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${r} must match.`));const w=n?[y,h,d]:[y,d,h],_=r?[b,p,f]:[b,f,p],x=nR({inputs:{x:e},backend:a,attrs:{shape:w}}),k=nR({inputs:{x:t},backend:a,attrs:{shape:_}}),E=[x,k],C=Math.max(y,b),S=n?x.shape[1]:x.shape[2],N=null!=s,I=null!=i,A="leakyrelu"===l,D=null!=l?YF(l,!0):null;let T;if((1===d||1===p)&&S>1e3&&!1===(N||I||A||null!=D)){let e=x,t=k;n&&(e=fR({inputs:{x},backend:a,attrs:{perm:[0,2,1]}}),E.push(e)),r&&(t=fR({inputs:{x:k},backend:a,attrs:{perm:[0,2,1]}}),E.push(t));const s=1===p;let i=e;1!==p&&(i=nR({inputs:{x:e},backend:a,attrs:{shape:[C,S,1]}}),E.push(i));const o=1===p?2:1;let l=t;s&&(l=nR({inputs:{x:t},backend:a,attrs:{shape:[C,1,S]}}),E.push(l));const u=eR({inputs:{a:i,b:l},backend:a});T=cR({inputs:{x:u},backend:a,attrs:{axis:o,keepDims:!0}}),E.push(u)}else{const l=Da(e.dtype,t.dtype),u=new JF(w,_,[C,d,p],n,r,N,D,I,A),c=[x,k];if(null!=s&&c.push(s),I&&c.push(i),A){const e=a.makeTensorInfo([],"float32",ra(o,"float32"));c.push(e),E.push(e)}T=a.runWebGLProgram(u,c,l)}const F=nR({inputs:{x:T},backend:a,attrs:{shape:v}});E.push(T);for(const e of E)a.disposeIntermediateTensorInfo(e);return F}const mR={kernelName:Vr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{a,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:h}=r;return pR({a,b:s,transposeA:l,transposeB:u,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:h,activation:c})}},gR="return abs(x);",yR={kernelName:Ge,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{x:r}=t;if(n.shouldExecuteOnCPU([r])&&"complex64"!==r.dtype){const e=n.texData.get(r.dataId),t=cF(e.values);return n.makeTensorInfo(r.shape,r.dtype,t)}let a;return a=We().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new TF(r.shape,gR):new IF(r.shape,gR),n.runWebGLProgram(a,[r],r.dtype)}},bR=KF({opSnippet:"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n"}),vR={kernelName:Xe,backendName:"webgl",kernelFunc:bR},wR=KF({opSnippet:"if (isnan(x)) return x;\n if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),_R={kernelName:Ke,backendName:"webgl",kernelFunc:wR},xR="return a + b;",kR=qF({opSnippet:xR,packedOpSnippet:xR,supportsComplex:!0,cpuKernelImpl:VT}),ER={kernelName:qe,backendName:"webgl",kernelFunc:kR};class CR{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map(((e,t)=>`T${t}`));const n=[];this.variableNames.forEach((e=>{n.push(`float v${e} = get${e}AtOutCoords();`)}));const r=this.variableNames.map((e=>`v${e}`)).join(" + ");this.userCode=`\n void main() {\n ${n.join("\n ")}\n\n float result = ${r};\n setOutput(result);\n }\n `}}class SR{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map(((e,t)=>`T${t}`));const n=[];this.variableNames.forEach((e=>{n.push(`vec4 v${e} = get${e}AtOutCoords();`)}));const r=this.variableNames.map((e=>`v${e}`)).join(" + ");this.userCode=`\n void main() {\n ${n.join("\n ")}\n\n vec4 result = ${r};\n setOutput(result);\n }\n `}}const NR={kernelName:Ye,backendName:"webgl",kernelFunc:function e(t){const{inputs:n,backend:r}=t,a=n;if(1===a.length)return PF({inputs:{x:a[0]},backend:r});if(a.length>We().get("WEBGL_MAX_TEXTURES_IN_SHADER")){const t=Math.floor(a.length/2),n=e({inputs:a.slice(0,t),backend:r}),s=e({inputs:a.slice(t),backend:r});return e({inputs:[n,s],backend:r})}const s=a.map((e=>e.dtype)).reduce(((e,t)=>Da(e,t))),i=a.map((e=>e.shape)),o=We().getBool("WEBGL_PACK")?new SR(a[0].shape,i):new CR(a[0].shape,i);return r.runWebGLProgram(o,a,s)}},IR={kernelName:Je,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=de(s,a.shape);let u=l;const c=qu(u,o);let h=a;null!=c&&(h=fR({inputs:{x:a},backend:n,attrs:{perm:c}}),u=Ju(u.length,o)),Ku("all",u,o);const[f,d]=Gu(h.shape,u),p=nR({inputs:{x:h},backend:n,attrs:{shape:[-1,re(d)]}}),m=iR(p,p.dtype,"all",n);let g;return g=nR(i?{inputs:{x:m},backend:n,attrs:{shape:Xu(f,l)}}:{inputs:{x:m},backend:n,attrs:{shape:f}}),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(m),null!=c&&n.disposeIntermediateTensorInfo(h),g}},AR={kernelName:Ze,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=de(s,a.shape);let u=l;const c=qu(u,o);let h=a;null!=c&&(h=fR({inputs:{x:a},backend:n,attrs:{perm:c}}),u=Ju(u.length,o)),Ku("any",u,o);const[f,d]=Gu(h.shape,u),p=nR({inputs:{x:h},backend:n,attrs:{shape:[-1,re(d)]}}),m=iR(p,p.dtype,"any",n);let g;return g=nR(i?{inputs:{x:m},backend:n,attrs:{shape:Xu(f,l)}}:{inputs:{x:m},backend:n,attrs:{shape:f}}),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(m),null!=c&&n.disposeIntermediateTensorInfo(h),g}};class DR{constructor(e,t,n){this.variableNames=["A"];const{windowSize:r,batchSize:a,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,s];const i="max"===t?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${r};\n\n int bestIndex = inOffset;\n float bestValue = getA(batch, bestIndex);\n\n for (int i = 0; i < ${r}; i++) {\n int inIdx = ${o};\n float candidate = getA(batch, inIdx);\n if (candidate ${i} bestValue) {\n bestValue = candidate;\n bestIndex = inIdx;\n }\n }\n setOutput(float(bestIndex));\n }\n `}}class TR{constructor(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Q(e.length>2,(()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`));const a=e[e.length-1],s=Math.ceil(a/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),r||this.variableNames.push("bestIndicesA");const i=this.outputShape,o=i.length,l=LT(o),u=_F("coords",o);let c,h;if(1===s){h=o+1;const e=LT(h);c=`\n ${e} sourceLocR = ${e}(${u.join()}, 0);\n ++${u[o-1]};\n ${e} sourceLocG = ${e}(${u.join()}, 0);\n ++${u[o-2]};\n ${e} sourceLocA = ${e}(${u.join()}, 0);\n --${u[o-1]};\n ${e} sourceLocB = ${e}(${u.join()}, 0);\n --${u[o-2]};`}else h=o,c=`\n ${l} sourceLocR = coords;\n ++${u[o-1]};\n ${l} sourceLocG = coords;\n ++${u[o-2]};\n ${l} sourceLocA = coords;\n --${u[o-1]};\n ${l} sourceLocB = coords;\n --${u[o-2]};`;const f=["x","y","z","w","u","v"].slice(0,h),d="."+f[h-1],p=f.map((e=>"int "+e)),m=_F("sourceLocR",h-1).concat("inIdx.r"),g=_F("sourceLocG",h-1).concat("inIdx.g"),y=_F("sourceLocB",h-1).concat("inIdx.b"),b=_F("sourceLocA",h-1).concat("inIdx.a"),v="max"===n?"greaterThan":"lessThan",w=r?"":`\n inIdx = round(vec4(getBestIndicesAChannel(${m.join()}),\n getBestIndicesAChannel(${g.join()}),\n getBestIndicesAChannel(${y.join()}),\n getBestIndicesAChannel(${b.join()})));`,_=`vec4(\n getAChannel(${m.join()}),\n hasNextCol ? getAChannel(${g.join()}) : 0.,\n hasNextRow ? getAChannel(${y.join()}) : 0.,\n hasNextRow && hasNextCol ? getAChannel(${b.join()}) : 0.)`,x=r?"":`\n float getBestIndicesAChannel(${p.join()}) {\n return getChannel(getBestIndicesA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }`;this.userCode=`\n float getAChannel(${p.join()}) {\n return getChannel(getA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }\n ${x}\n void main() {\n ${l} coords = getOutputCoords();\n bool hasNextCol = ${u[o-1]} < ${i[o-1]-1};\n bool hasNextRow = ${u[o-2]} < ${i[o-2]-1};\n ${c}\n ivec4 srcIdx = ivec4(sourceLocR${d}, sourceLocG${d},\n sourceLocB${d}, sourceLocA${d}) * ${t};\n ivec4 inIdx = srcIdx;\n vec4 bestIndex = vec4(inIdx);\n vec4 bestValue = ${_};\n\n for (int i = 0; i < ${t}; i++) {\n inIdx = srcIdx;\n ${w}\n vec4 candidate = ${_};\n bvec4 nan = isnan(candidate);\n bvec4 replace = bvec4(\n vec4(${v}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n `}}function FR(e,t,n,r=null){let a=t.shape[0],s=t.shape[1];null!=r&&(a=r.shape[0],s=r.shape[1]);const i=Jf(s),o={windowSize:i,inSize:s,batchSize:a,outSize:Math.ceil(s/i)},l=new DR(o,n,null==r),u=[t];null!=r&&u.push(r);const c=e.runWebGLProgram(l,u,"int32");if(1===c.shape[1])return c;const h=FR(e,t,n,c);return e.disposeIntermediateTensorInfo(c),h}function RR(e,t,n,r=null){const a=null!=r?r.shape:t.shape,s=Jf(a[a.length-1]),i=new TR(a,s,n,null==r),o=null==r?[t]:[t,r],l=e.runWebGLProgram(i,o,"int32");if(l.shape.length===t.shape.length){const r=RR(e,t,n,l);return e.disposeIntermediateTensorInfo(l),r}return l}function OR(e,t,n,r){const a=[n];if(Ku("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!We().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){const n=[],[s,i]=Gu(t.shape,a),o=re(i),l=nR({inputs:{x:t},backend:e,attrs:{shape:[-1,o]}});n.push(l);const u=FR(e,l,r);n.push(u);const c=nR({inputs:{x:u},backend:e,attrs:{shape:s}});return n.forEach((t=>e.disposeIntermediateTensorInfo(t))),c}return RR(e,t,r)}const MR={kernelName:Qe,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s}=r;let i=de(s,a.shape);const o=qu(i,a.shape.length);let l=a;const u=[];null!=o&&(l=fR({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(l),i=Ju(i.length,l.shape.length)),Ku("argMax",[i[0]],l.shape.length);const c=OR(n,l,i[0],"max");return u.forEach((e=>n.disposeIntermediateTensorInfo(e))),c}},BR={kernelName:et,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s}=r;let i=de(s,a.shape);const o=qu(i,a.shape.length);let l=a;const u=[];null!=o&&(l=fR({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(l),i=Ju(i.length,l.shape.length)),Ku("argMin",[i[0]],l.shape.length);const c=OR(n,l,i[0],"min");return u.forEach((e=>n.disposeIntermediateTensorInfo(e))),c}},$R=KF({opSnippet:"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n"}),PR={kernelName:tt,backendName:"webgl",kernelFunc:$R},LR=KF({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),zR={kernelName:nt,backendName:"webgl",kernelFunc:LR},WR=KF({opSnippet:"if (isnan(x)) return x;\n return atan(x);\n"}),UR={kernelName:rt,backendName:"webgl",kernelFunc:WR},VR=qF({opSnippet:"\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n\n return atan(a, b);\n",packedOpSnippet:"\n vec4 result = atan(a, b);\n vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n"}),jR={kernelName:st,backendName:"webgl",kernelFunc:VR},HR=KF({opSnippet:"if (isnan(x)) return x;\n if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;"}),GR={kernelName:at,backendName:"webgl",kernelFunc:HR};class XR{constructor(e,t,n,r=!1,a=!1){if(this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");const s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=e.padInfo.top,d=e.padInfo.left;this.outputShape=e.outShape;const p="avg"===t,m=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`;let y="0.0";if(p||(y="-1.0 / 1e-20"),n){const t=">=";return void(this.userCode=`\n const ivec2 strides = ivec2(${i}, ${o});\n const ivec2 pads = ivec2(${f}, ${d});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n float avgValue = 0.0;\n\n for (int wR = 0; wR < ${c};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${h};\n wC += ${u}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${t} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${r?a?m:g:`wR * ${h} + wC`};\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `)}let b=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;"avg"===t&&(b="avgValue / count");const v=4*Math.floor(s/4),w=s%4,_=`\n if (${p}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = max(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec2 strides = ivec2(${i}, ${o});\n const ivec2 pads = ivec2(${f}, ${d});\n const float initializationValue = ${y};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= ${e.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4(${y});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < ${c};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${v}; wC += 4) {\n int xC = xCCorner + wC * ${u};\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${u}, d),\n getValue(batch, xR, xC + 2 * ${u}, d),\n getValue(batch, xR, xC + 3 * ${u}, d)\n );\n\n ${_}\n }\n\n int xC = xCCorner + ${v};\n if (${1===w}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${_}\n } else if (${2===w}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${u}, d),\n initializationValue,\n initializationValue\n );\n\n ${_}\n } else if (${3===w}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${u}, d),\n getValue(batch, xR, xC + 2 * ${u}, d),\n initializationValue\n );\n\n ${_}\n }\n }\n setOutput(${b});\n }\n `}}class KR{constructor(e,t,n,r=!1,a=!1){if(this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");const s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,c=e.dilationHeight,h=e.dilationWidth,f=e.effectiveFilterDepth,d=e.effectiveFilterHeight,p=e.effectiveFilterWidth,m=e.padInfo.front,g=e.padInfo.top,y=e.padInfo.left;this.outputShape=e.outShape;const b="avg"===t;let v="0.0";if(b||(v="-1.0 / 1e-20"),n){const t=">=";return void(this.userCode=`\n const ivec3 strides =\n ivec3(${i}, ${o}, ${l});\n const ivec3 pads = ivec3(${m}, ${g}, ${y});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n\n for (int wD = 0; wD < ${f};\n wD += ${u}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${c}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${p};\n wC += ${h}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xD, xR, xC, ch);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${t} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${r?a?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${d} * ${p} +\n wR * ${p} + wC`};\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `)}let w=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;"avg"===t&&(w="avgValue / count");const _=4*Math.floor(s/4),x=s%4,k=`\n if (${b}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = max(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec3 strides =\n ivec3(${i}, ${o}, ${l});\n const ivec3 pads = ivec3(${m}, ${g}, ${y});\n const float initializationValue = ${v};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xD, int xR, int xC, int ch) {\n if (xC < 0 || xC >= ${e.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xD, xR, xC, ch);\n }\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n // ? = to be determined\n vec4 minMaxValue = vec4(${v});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD < ${f};\n wD += ${u}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${c}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${_}; wC += 4) {\n int xC = xCCorner + wC * ${h};\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${h}, ch),\n getValue(batch, xD, xR, xC + 2 * ${h}, ch),\n getValue(batch, xD, xR, xC + 3 * ${h}, ch)\n );\n\n ${k}\n }\n\n int xC = xCCorner + ${_};\n if (${1===x}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${k}\n } else if (${2===x}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${h}, ch),\n initializationValue,\n initializationValue\n );\n\n ${k}\n } else if (${3===x}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${h}, ch),\n getValue(batch, xD, xR, xC + 2 * ${h}, ch),\n initializationValue\n );\n\n ${k}\n }\n }\n setOutput(${w});\n }\n }\n `}}const qR={kernelName:it,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t;cT(a,"avgPool");const{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=r;Q(Nl(i,1),(()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '1'`));const u=yl(a.shape,s,i,1,o,l);if(1===u.filterWidth&&1===u.filterHeight&&se(u.inShape,u.outShape))return PF({inputs:{x:a},backend:n});const c=new XR(u,"avg",!1);return n.runWebGLProgram(c,[a],"float32")}},YR={kernelName:lt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=r,c=bl(a.shape,s,i,[1,1,1],o,l,u),h=new KR(c,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}};class JR{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;const t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=o-1-e.padInfo.top,c=l-1-e.padInfo.left,h=1/(t*n);this.userCode=`\n const ivec2 pads = ivec2(${u}, ${c});\n const float avgMultiplier = float(${h});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${o};\n wR += ${s}) {\n float dyR = float(dyRCorner + wR) / ${r}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${l};\n wC+= ${i}) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n `}}class ZR{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;const t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,f=e.effectiveFilterWidth,d=c-1-e.padInfo.front,p=h-1-e.padInfo.top,m=f-1-e.padInfo.left,g=1/(t*n*r);this.userCode=`\n const ivec3 pads = ivec3(${d}, ${p}, ${m});\n const float avgMultiplier = float(${g});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${c};\n wD += ${o}) {\n float dyD = float(dyDCorner + wD) / ${a}.0;\n\n if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${h};\n wR += ${l}) {\n float dyR = float(dyRCorner + wR) / ${s}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${f};\n wC += ${u}) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n }\n setOutput(dotProd);\n }\n `}}const QR={kernelName:ut,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:c}=r,h=bl(i.shape,o,l,[1,1,1],u,c),f=new ZR(h);return n.runWebGLProgram(f,[a],i.dtype)}},eO={kernelName:ot,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s;cT([a,s],"avgPoolGrad");const{filterSize:o,strides:l,pad:u}=r,c=yl(i.shape,o,l,1,u),h=new JR(c);return n.runWebGLProgram(h,[a],i.dtype)}},tO={kernelName:ct,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{a,b:s}=t,{transposeA:i,transposeB:o}=r;return pR({a,b:s,transposeA:i,transposeB:o,backend:n})}};class nO{constructor(e,t,n,r,a,s){this.outputShape=[],this.variableNames=["x","mean","variance"],Zo(e,t),Zo(e,n);let i="0.0";null!=r&&(Zo(e,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";null!=a&&(Zo(e,a),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`\n void main() {\n float x = getXAtOutCoords();\n float mean = getMeanAtOutCoords();\n float variance = getVarianceAtOutCoords();\n float offset = ${i};\n float scale = ${o};\n float inv = scale * inversesqrt(variance + float(${s}));\n setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n }\n `}}class rO{constructor(e,t,n,r,a,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Zo(e,t),Zo(e,n);let i="vec4(0.0)";null!=r&&(Zo(e,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";null!=a&&(Zo(e,a),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`\n void main() {\n vec4 offset = ${i};\n vec4 scale = ${o};\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4(${s}));\n\n setOutput((x - mean) * inv + offset);\n }\n `}}const aO={kernelName:Qt,backendName:"webgl",kernelFunc:({inputs:e,backend:t,attrs:n})=>{const{x:r,mean:a,variance:s,offset:i,scale:o}=e;Q(a.shape.length===s.shape.length,(()=>"Batch normalization gradient requires mean and variance to have equal ranks.")),Q(null==i||a.shape.length===i.shape.length,(()=>"Batch normalization gradient requires mean and offset to have equal ranks.")),Q(null==o||a.shape.length===o.shape.length,(()=>"Batch normalization gradient requires mean and scale to have equal ranks."));let{varianceEpsilon:l}=n;null==l&&(l=.001);const u=[r,a,s];let c=null;null!=i&&(c=i.shape,u.push(i));let h=null;null!=o&&(h=o.shape,u.push(o));const f=We().getBool("WEBGL_PACK_NORMALIZATION")?new rO(r.shape,a.shape,s.shape,c,h,l):new nO(r.shape,a.shape,s.shape,c,h,l);return t.runWebGLProgram(f,u,u[0].dtype)}};class sO{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;const t=LT(this.rank),n=`uniform int start[${this.rank}];`,r=function(e){if(1===e)return"sourceLoc";if(e<=6)return iO.slice(0,e).map((e=>"sourceLoc."+e)).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}(this.rank);let a;a=`\n ${t} sourceLoc;\n ${t} coords = getOutputCoords();\n ${e.map(((e,t)=>`sourceLoc.${iO[t]} = start[${t}] + coords.${iO[t]};`)).join("\n")}\n `,this.userCode=`\n ${n}\n void main() {\n ${a}\n setOutput(getSource(${r}));\n }\n `}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{null==this.startLoc&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),null==this.startLoc)||t.gl.uniform1iv(this.startLoc,e)}}}const iO=["x","y","z","w","u","v"];class oO{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;const t=LT(this.rank),n=_F("coords",this.rank),r=_F("sourceLoc",this.rank),a=1===this.rank?"sourceLoc":`vec2(${r.slice(-2).join()})`,s=`getChannel(getSource(${r.join()}), ${a})`,i=`\n result.x = ${s};\n if (++${n[this.rank-1]} < ${e[this.rank-1]}) {\n ++${r[this.rank-1]};\n result.y = ${s};\n --${r[this.rank-1]};\n }\n `,o=1===this.rank?"":`\n --${n[this.rank-1]};\n if (++${n[this.rank-2]} < ${e[this.rank-2]}) {\n ++${r[this.rank-2]};\n result.z = ${s};\n if (++${n[this.rank-1]} < ${e[this.rank-1]}) {\n ++${r[this.rank-1]};\n result.w = ${s};\n }\n }\n `,l=this.rank<=4?`sourceLoc = coords +\n ${t}(${e.map(((e,t)=>`start[${t}]`)).join()});`:e.map(((e,t)=>`${r[t]} = ${n[t]} + start[${t}];`)).join("\n");this.userCode=`\n uniform int start[${this.rank}];\n void main() {\n ${t} coords = getOutputCoords();\n ${t} sourceLoc;\n ${l}\n vec4 result = vec4(0.);\n ${i}\n ${o}\n setOutput(result);\n }\n `}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{null==this.startLoc&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),null==this.startLoc)||t.gl.uniform1iv(this.startLoc,e)}}}function lO(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{begin:s,size:i}=r,[o,l]=Ui(a,s,i);if(Ii(a,o,l),0===re(l))return n.makeTensorInfo(l,a.dtype,[]);if(n.shouldExecuteOnCPU([a])||"string"===a.dtype){const e=n.texData.get(a.dataId),t=hF(e.values,o,l,a.shape,a.dtype);return n.makeTensorInfo(l,a.dtype,t)}const{isPacked:u}=n.texData.get(a.dataId),c=zi(a.shape,o,l);if(u||!c){const e=We().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new oO(l):new sO(l),t=e.getCustomSetupFunc(o);return n.runWebGLProgram(e,[a],a.dtype,t)}return n.uploadToGPU(a.dataId),function(e,t,n,r){const a=r.texData.get(e.dataId),s=r.makeTensorInfo(n,e.dtype),i=r.texData.get(s.dataId);Object.assign(i,a),i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=Wi(t,Ae(e.shape));a.slice&&(o+=a.slice.flatOffset),i.slice={flatOffset:o,origDataId:a.slice&&a.slice.origDataId||e.dataId};const l=r.dataRefCount.get(i.slice.origDataId)||1;return r.dataRefCount.set(i.slice.origDataId,l+1),s}(a,o,l,n)}const uO={kernelName:fr,backendName:"webgl",kernelFunc:lO},cO={kernelName:ht,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockShape:s,crops:i}=r;Q(a.shape.length<=4,(()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"));const o=s.reduce(((e,t)=>e*t)),l=Qf(a.shape,s,o),u=ed(l.length,s.length),c=td(a.shape,s,o),h=nd(i,s.length),f=rd(c,i,s.length),d=[],p=nR({inputs:{x:a},backend:n,attrs:{shape:l}}),m=fR({inputs:{x:p},backend:n,attrs:{perm:u}}),g=nR({inputs:{x:m},backend:n,attrs:{shape:c}}),y=lO({inputs:{x:g},backend:n,attrs:{begin:h,size:f}});return d.push(p),d.push(m),d.push(g),d.forEach((e=>n.disposeIntermediateTensorInfo(e))),y}},hO={kernelName:ft,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,weights:s}=t,{size:i}=r,o=n.readSync(a.dataId),l=n.readSync(s.dataId),u=jT(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}},fO=qF({opSnippet:"return float(a != b);",dtype:"bool"}),dO={kernelName:Pn,backendName:"webgl",kernelFunc:fO};function pO(e){const{inputs:t,backend:n}=e,{input:r}=t;return PF({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}const mO={kernelName:Jn,backendName:"webgl",kernelFunc:pO},gO={kernelName:pt,backendName:"webgl",kernelFunc:function e(t){const{inputs:n,backend:r,attrs:a}=t,{x:s}=n,{dtype:i}=a;if("complex64"===i){if("complex64"===s.dtype)return PF({inputs:{x:s},backend:r});const t=oc(s.shape),n=e({inputs:{x:s},backend:r,attrs:{dtype:"float32"}}),a=zF({inputs:{real:n,imag:t},backend:r});return t.dispose(),r.disposeIntermediateTensorInfo(n),a}if("complex64"===s.dtype){const t=pO({inputs:{input:s},backend:r}),n=e({inputs:{x:t},backend:r,attrs:{dtype:i}});return r.disposeIntermediateTensorInfo(t),n}if(!ve(s.dtype,i)){const e=PF({inputs:{x:s},backend:r});return{dataId:e.dataId,shape:e.shape,dtype:i}}if("int32"===i)return function(e,t){const n=new IF(e.shape,"return float(int(x));"),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(s,r);if("bool"===i){const e=r.makeTensorInfo([],"bool",me("bool",1)),t=fO({inputs:{a:s,b:e},backend:r});return r.disposeIntermediateTensorInfo(e),t}throw new Error(`Error in Cast: failed to cast ${s.dtype} to ${i}`)}},yO="return ceil(x);",bO=KF({opSnippet:yO,packedOpSnippet:yO,cpuKernelImpl:GT}),vO={kernelName:mt,backendName:"webgl",kernelFunc:bO};class wO{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n uniform float minVal;\n uniform float maxVal;\n\n void main() {\n float value = getAAtOutCoords();\n if (isnan(value)) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, minVal, maxVal));\n }\n "}getCustomSetupFunc(e,t){return(n,r)=>{null==this.minLoc&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}}class _O{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode="\n uniform float minVal;\n uniform float maxVal;\n\n void main() {\n vec4 value = getAAtOutCoords();\n\n if (any(isnan(value))) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n }\n "}getCustomSetupFunc(e,t){return(n,r)=>{null==this.minLoc&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}}const xO={kernelName:gt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{clipValueMin:s,clipValueMax:i}=r;let o;o=We().getBool("WEBGL_PACK_CLIP")?new _O(a.shape):new wO(a.shape);const l=o.getCustomSetupFunc(s,i);return n.runWebGLProgram(o,[a],a.dtype,l)}};class kO{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode="\n void main() {\n float re = abs(getRealAtOutCoords());\n float im = abs(getImagAtOutCoords());\n float mx = max(re, im);\n\n // sadly the length function in glsl is not underflow-safe\n // (at least not on Intel GPUs). So the safe solution is\n // to ensure underflow-safety in all cases.\n setOutput(\n mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n );\n }\n "}}function EO(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}const CO={kernelName:bt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{x:r}=t,a=n.texData.get(r.dataId),s=new kO(r.shape),i=[EO(r,a.complexTensorInfos.real),EO(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}};class SO{constructor(e){this.outputShape=[],this.outputShape=qf(e,1),this.variableNames=e.map(((e,t)=>`T${t}`));const t=new Array(e.length-1);t[0]=e[0][1];for(let n=1;n`T${t}`));const o=new Array(e.length-1);o[0]=e[0][t];for(let n=1;n= ${o[e-1]}) {\n return getChannel(\n getT${e}(${IO(i,l,t)}),\n vec2(${IO(u,l,t)}));\n }`}const f=o.length,d=o[o.length-1];h+=`\n return getChannel(\n getT${f}(${IO(i,l,d)}),\n vec2(${IO(u,l,d)}));`,this.userCode=`\n float getValue(${i.map((e=>"int "+e))}) {\n ${h}\n }\n\n void main() {\n ${a} coords = getOutputCoords();\n vec4 result = vec4(getValue(${s}), 0., 0., 0.);\n\n ${s[r-1]} = ${s[r-1]} + 1;\n if (${s[r-1]} < ${n[r-1]}) {\n result.g = getValue(${s});\n }\n\n ${s[r-2]} = ${s[r-2]} + 1;\n if (${s[r-2]} < ${n[r-2]}) {\n result.a = getValue(${s});\n }\n\n ${s[r-1]} = ${s[r-1]} - 1;\n if (${s[r-2]} < ${n[r-2]} &&\n ${s[r-1]} < ${n[r-1]}) {\n result.b = getValue(${s});\n }\n setOutput(result);\n }\n `}}function IO(e,t,n){const r=e.indexOf(t);return e.map(((e,t)=>t===r?`${e} - ${n}`:e)).join()}function AO(e){const{inputs:t,backend:n}=e,{input:r}=t;return PF({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}const DO={kernelName:on,backendName:"webgl",kernelFunc:AO};function TO(e,t,n){const r=e[0].dtype;if("complex64"===r){const r=e.map((e=>pO({inputs:{input:e},backend:n}))),a=e.map((e=>AO({inputs:{input:e},backend:n}))),s=TO(r,t,n),i=TO(a,t,n),o=zF({inputs:{real:s,imag:i},backend:n});return r.forEach((e=>n.disposeIntermediateTensorInfo(e))),a.forEach((e=>n.disposeIntermediateTensorInfo(e))),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),o}let a=n.shouldExecuteOnCPU(e);if("string"===r&&(a=!0),a){const a=e.map((e=>{const r=re(e.shape.slice(t));return nR({inputs:{x:e},backend:n,attrs:{shape:[-1,r]}})})),s=a.map((e=>({vals:n.readSync(e.dataId),shape:e.shape}))),i=qf(a.map((e=>e.shape)),1),o=1===a[0].shape[0],l=XT(s,i,r,o),u=qf(e.map((e=>e.shape)),t),c=n.makeTensorInfo(u,r,l);return a.forEach((e=>n.disposeIntermediateTensorInfo(e))),c}if(e.length>We().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){const r=Math.floor(e.length/2),a=TO(e.slice(0,r),t,n),s=TO(e.slice(r),t,n),i=TO([a,s],t,n);return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(s),i}if(We().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){const a=new NO(e.map((e=>e.shape)),t);return n.runWebGLProgram(a,e,r)}const{tensors2D:s,outShape:i}=function(e,t,n){const r=qf(e.map((e=>e.shape)),t);return{tensors2D:e.map((e=>nR({inputs:{x:e},attrs:{shape:[-1,re(e.shape.slice(t))]},backend:n}))),outShape:r}}(e,t,n),o=new SO(s.map((e=>e.shape))),l=n.runWebGLProgram(o,s,r);s.forEach((e=>n.disposeIntermediateTensorInfo(e)));const u=nR({inputs:{x:l},attrs:{shape:i},backend:n});return n.disposeIntermediateTensorInfo(l),u}function FO(e){const{inputs:t,backend:n,attrs:r}=e,{axis:a}=r,s=de(a,t[0].shape)[0],i=qf(t.map((e=>e.shape)),s);if(0===re(i))return n.makeTensorInfo(i,t[0].dtype,[]);const o=t.filter((e=>re(e.shape)>0));return 1===o.length?PF({inputs:{x:o[0]},backend:n}):(Kf(o.map((e=>e.shape)),s),TO(o,s,n))}const RO={kernelName:vt,backendName:"webgl",kernelFunc:FO};class OO{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;const s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,h=e.filterHeight,f=e.filterWidth,d=4*Math.floor(e.inChannels/4),p=e.inChannels%4,m="channelsLast"===e.dataFormat,g=m?1:2,y=m?2:3,b=m?3:1;let v="",w="";n&&(v=r?`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:a?`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:`\n float activation(float x) {\n ${n}\n }\n `,w="result = activation(result);");const _=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode=`\n ${v}\n\n const ivec2 strides = ivec2(${o}, ${l});\n const ivec2 pads = ivec2(${s}, ${i});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[${b}];\n\n ivec2 xRCCorner =\n ivec2(coords[${g}], coords[${y}]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${h}; wR++) {\n int xR = xRCorner + wR * ${u};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${c};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if (${m}) {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if (${1===p}) {\n\n if (${m}) {\n dotProd +=\n getX(batch, xR, xC, ${d}) *\n getW(wR, wC, ${d}, d2);\n } else {\n dotProd +=\n getX(batch, ${d}, xR, xC) *\n getW(wR, wC, ${d}, d2);\n }\n\n } else if (${2===p}) {\n vec2 wValues = vec2(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2)\n );\n\n if (${m}) {\n vec2 xValues = vec2(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if (${3===p}) {\n vec3 wValues = vec3(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2),\n getW(wR, wC, ${d} + 2, d2)\n );\n\n if (${m}) {\n vec3 xValues = vec3(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1),\n getX(batch, xR, xC, ${d} + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC),\n getX(batch, ${d} + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n ${_}\n ${w}\n setOutput(result);\n }\n `}}class MO{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;const t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.filterDepth,h=e.filterHeight,f=e.filterWidth,d=4*Math.floor(e.inChannels/4),p=e.inChannels%4;this.userCode=`\n const ivec3 strides = ivec3(${a}, ${s}, ${i});\n const ivec3 pads = ivec3(${t}, ${n}, ${r});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < ${c}; wF++) {\n int xF = xFCorner + wF * ${o};\n\n if (xF < 0 || xF >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${h}; wR++) {\n int xR = xRCorner + wR * ${l};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${u};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (${1===p}) {\n dotProd +=\n getX(batch, xF, xR, xC, ${d}) *\n getW(wF, wR, wC, ${d}, d2);\n } else if (${2===p}) {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (${3===p}) {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1),\n getX(batch, xF, xR, xC, ${d} + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2),\n getW(wF, wR, wC, ${d} + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class BO{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;const{filterWidth:r,inChannels:a,strideWidth:s,strideHeight:i,padInfo:o,outWidth:l,dilationWidth:u,dilationHeight:c,dataFormat:h}=n,{left:f,top:d}=o,p=a*r,m=fT(),g="channelsLast"===h,y=g?0:1,b=g?1:2;let v="";for(let n=0;n<=1;n++)for(let r=0;r<=1;r++)v+=`\n blockIndex = rc.y + ${r};\n pos = rc.x + ${n};\n\n if(blockIndex < ${e[1]} && pos < ${e[0]}) {\n offsetY = int(blockIndex / (${l})) * ${i} - ${d};\n d0 = offsetY + ${c} * (pos / ${p});\n\n if(d0 < ${t[y]} && d0 >= 0) {\n\n offsetX = int(mod(float(blockIndex), ${l}.) * ${s}. - ${f}.);\n d1 = offsetX + ${u} * (int(mod(float(pos), ${p}.) / ${a}.));\n\n if(d1 < ${t[b]} && d1 >= 0) {\n\n ch = int(mod(float(pos), ${a}.));\n\n if (${g}) {\n innerDims = vec2(d1, ch);\n result[${2*n+r}] = getChannel(\n getA(d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[${2*n+r}] = getChannel(\n getA(ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n `;this.userCode=`\n void main() {\n ivec2 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ${v}\n\n ${m.output} = result;\n }\n `}}function $O({x:e,filter:t,convInfo:n,backend:r,bias:a=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){const l=e.shape,u=r.texData.get(e.dataId),c=n.inChannels,h=l[0]*l[1]*l[2],f=n.outChannels,d="channelsLast"===n.dataFormat;let p;const m=[],g=(1===h||1===f)&&c>1e3,y=l[2]%2!=0&&!!u.isPacked;if(!g&&We().getBool("WEBGL_LAZILY_UNPACK")&&We().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&y){const c=d?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),h={dataId:e.dataId,shape:[1,c,n.inChannels],dtype:e.dtype},f=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,Q(aT(u.shape,h.shape),(()=>`packed reshape ${u.shape} to ${h.shape} isn't free`));const g=nR({inputs:{x:t},backend:r,attrs:{shape:[1,n.inChannels,n.outChannels]}});m.push(g);const y=pR({a:h,b:g,backend:r,transposeA:!1,transposeB:!1,bias:a,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),b=r.texData.get(y.dataId);Q(b.isPacked,(()=>"batchMatMul result is expected to be packed")),u.shape=f,b.shape=n.outShape,p=PF({inputs:{x:y},backend:r}),p.shape=n.outShape,m.push(y)}else{const u=nR({inputs:{x:e},backend:r,attrs:{shape:[1,d?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],n.inChannels]}}),c=nR({inputs:{x:t},backend:r,attrs:{shape:[1,n.inChannels,n.outChannels]}}),h=pR({a:u,b:c,transposeA:!1,transposeB:!1,backend:r,bias:a,activation:o,preluActivationWeights:s,leakyreluAlpha:i});p=nR({inputs:{x:h},backend:r,attrs:{shape:n.outShape}}),m.push(u),m.push(c),m.push(h)}for(const e of m)r.disposeIntermediateTensorInfo(e);return p}function PO({x:e,filter:t,convInfo:n,backend:r,bias:a=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){const{filterWidth:l,filterHeight:u,inChannels:c,outWidth:h,outHeight:f,dataFormat:d}=n,p="channelsLast"===d,m=l*u*c,g=f*h,y=[m,g],b=[],v=nR({inputs:{x:e},backend:r,attrs:{shape:e.shape.slice(1)}}),w=nR({inputs:{x:t},backend:r,attrs:{shape:[1,m,re(t.shape)/m]}});b.push(v),b.push(w);const _=new BO(y,v.shape,n),x=r.runWebGLProgram(_,[v],"float32"),k=nR({inputs:{x},backend:r,attrs:{shape:[1,y[0],y[1]]}});b.push(x),b.push(k);const E=null!=a,C=null!=s,S="leakyrelu"===o,N=o?YF(o,!0):null,I=new JF(k.shape,w.shape,[1,g,n.outChannels],!0,!1,E,N,C,S),A=[k,w];if(a&&A.push(a),C&&A.push(s),S){const e=r.makeTensorInfo([],"float32",ra(i,"float32"));A.push(e),b.push(e)}const D=r.runWebGLProgram(I,A,"float32"),T=nR({inputs:{x:D},backend:r,attrs:{shape:p?[1,f,h,n.outChannels]:[1,n.outChannels,f,h]}});b.push(D);for(const e of b)r.disposeIntermediateTensorInfo(e);return T}const LO={kernelName:wt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:c}=r,h=Il(l),f=vl(a.shape,s.shape,i,u,o,c,!1,h);let d;if(1!==f.filterHeight||1!==f.filterWidth||1!==f.dilationHeight||1!==f.dilationWidth||1!==f.strideHeight||1!==f.strideWidth||"SAME"!==f.padInfo.type&&"VALID"!==f.padInfo.type)if(We().getBool("WEBGL_CONV_IM2COL")&&1===a.shape[0])d=PO({x:a,filter:s,convInfo:f,backend:n});else{const e=new OO(f);d=n.runWebGLProgram(e,[a,s],"float32")}else d=$O({x:a,filter:s,convInfo:f,backend:n});const p=nR({inputs:{x:d},backend:n,attrs:{shape:f.outShape}});return n.disposeIntermediateTensorInfo(d),p}};class zO{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;const t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,s="channelsLast"===e.dataFormat;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${t} - ${r};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${a};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n if (${s}) {\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n } else {\n float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class WO{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;const t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s="channelsLast"===e.dataFormat,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,u=s?2:3,c=s?3:1;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${o});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[${c}];\n\n ivec2 dyCorner = ivec2(coords[${l}], coords[${u}]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${t}; wR++) {\n float dyR = float(dyRCorner + wR) / ${r}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${t} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n for (int d2 = 0; d2 < ${e.outChannels}; d2++) {\n\n if (${s}) {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n } else {\n float xValue = getDy(batch, d2, idyR, idyC);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class UO{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;const t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=`\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yF = 0; yF < ${e.outDepth}; yF++) {\n int xF = wF + yF * ${t} - ${a};\n\n if (xF < 0 || xF >= ${e.inDepth}) {\n continue;\n }\n\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${n} - ${s};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${r} - ${i};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class VO{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;const t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=r-1-e.padInfo.left;this.userCode=`\n const ivec3 pads = ivec3(${o}, ${l}, ${u});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF < ${t}; wF++) {\n float dyF = float(dyFCorner + wF) / ${a}.0;\n\n if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = ${t} - 1 - wF;\n\n for (int wR = 0; wR < ${n}; wR++) {\n float dyR = float(dyRCorner + wR) / ${s}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${n} - 1 - wR;\n\n for (int wC = 0; wC < ${r}; wC++) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${r} - 1 - wC;\n\n for (int d2 = 0; d2 < ${e.outChannels}; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}}const jO={kernelName:_t,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:c}=r,h=Il(l),f=vl(a.shape,c,i,1,o,u,!1,h),d=new zO(f);return n.runWebGLProgram(d,[a,s],"float32")}},HO={kernelName:xt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:c}=r,h=Il(u),f=vl(i,s.shape,o,1,l,c,!1,h),d=new WO(f);return n.runWebGLProgram(d,[a,s],"float32")}},GO={kernelName:kt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dilations:l}=r,u=wl(a.shape,s.shape,i,l,o),c=new MO(u);return n.runWebGLProgram(c,[a,s],"float32")}},XO={kernelName:Et,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,pad:o,filterShape:l}=r,u=wl(a.shape,l,i,1,o),c=new UO(u);return n.runWebGLProgram(c,[a,s],"float32")}},KO={kernelName:Ct,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{pad:i,strides:o,inputShape:l}=r,u=wl(l,s.shape,o,1,i),c=new VO(u);return n.runWebGLProgram(c,[a,s],"float32")}},qO=KF({opSnippet:"if (isnan(x)) return x;\n return cos(x);\n"}),YO={kernelName:St,backendName:"webgl",kernelFunc:qO},JO=KF({opSnippet:"\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n"}),ZO={kernelName:Nt,backendName:"webgl",kernelFunc:JO};class QO{constructor(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];const[s,i,o,l]=e,[u]=t,[c,h]=n;this.outputShape=[u,c,h,l];const f="bilinear"===r?1:0,[d,p]=[i-1+".0",o-1+".0"],[m,g,y]=c>1?[""+(i-1)/(c-1),"(y2-y1) * height_ratio",`y1*${d} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${d}`],[b,v,w]=h>1?[""+(o-1)/(h-1),"(x2-x1) * width_ratio",`x1*${p} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${p}`];this.userCode=`\n const float height_ratio = float(${m});\n const float width_ratio = float(${b});\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int y = coords[1];\n int x = coords[2];\n int d = coords[3];\n\n // get box vals\n float y1 = getBoxes(b,0);\n float x1 = getBoxes(b,1);\n float y2 = getBoxes(b,2);\n float x2 = getBoxes(b,3);\n\n // get image in batch index\n int bInd = round(getBoxInd(b));\n if(bInd < 0 || bInd >= ${s}) {\n return;\n }\n\n float height_scale = ${g};\n float width_scale = ${v};\n\n float in_y = ${y};\n if( in_y < 0.0 || in_y > ${d} ) {\n setOutput(float(${a}));\n return;\n }\n float in_x = ${w};\n if( in_x < 0.0 || in_x > ${p} ) {\n setOutput(float(${a}));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if(${f} == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n `}}const eM={kernelName:At,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{image:a,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=r,c=new QO(a.shape,s.shape,o,l,u);return n.runWebGLProgram(c,[a,s,i],"float32")}};class tM{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;const r=e.length,a=t?"0.0":`getX(${nM(r,"coords")})`,s=e[e.length-1];let i="",o="";t?(i=n?"end != "+(s-1):"end != 0",o=n?"end + 1":"end - 1"):(i=n?`end + pow2 < ${s}`:"end >= pow2",o=n?"end + pow2":"end - pow2"),this.userCode=`\n uniform float index;\n void main() {\n ${LT(r)} coords = getOutputCoords();\n int end = ${rM(r,"coords")};\n float val = ${a};\n int pow2 = int(pow(2.0, index));\n if (${i}) {\n int idx = ${o};\n ${rM(r,"coords")} = idx;\n val += getX(${nM(r,"coords")});\n }\n setOutput(val);\n }\n `}getCustomSetupFunc(e){return(t,n)=>{null==this.index&&(this.index=t.getUniformLocation(n,"index")),t.gl.uniform1f(this.index,e)}}}function nM(e,t){if(1===e)return`${t}`;if(2===e)return`${t}.x, ${t}.y`;if(3===e)return`${t}.x, ${t}.y, ${t}.z`;if(4===e)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw Error(`Cumulative sum for rank ${e} is not yet supported`)}function rM(e,t){if(1===e)return`${t}`;if(2===e)return`${t}.y`;if(3===e)return`${t}.z`;if(4===e)return`${t}.w`;throw Error(`Cumulative sum for rank ${e} is not yet supported`)}const aM={kernelName:It,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,exclusive:i,reverse:o}=r,l=a.shape.length,u=qu([s],l);let c=a;null!=u&&(c=fR({inputs:{x:a},backend:n,attrs:{perm:u}}));const h=Ju(1,l)[0];if(h!==l-1)throw new Error(`WebGL cumsum shader expects an inner-most axis=${a.shape.length-1} but got axis=${s}`);const f=c.shape[h];let d=PF({inputs:{x:c},backend:n});for(let e=0;e<=Math.ceil(Math.log2(f))-1;e++){const t=new tM(c.shape,!1,o),r=t.getCustomSetupFunc(e),a=d;d=n.runWebGLProgram(t,[d],d.dtype,r),n.disposeIntermediateTensorInfo(a)}if(i){const e=new tM(c.shape,i,o),t=d;d=n.runWebGLProgram(e,[d],d.dtype),n.disposeIntermediateTensorInfo(t)}if(null!=u){const e=fR({inputs:{x:d},backend:n,attrs:{perm:Yu(u)}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),e}return d}},sM={kernelName:Dt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,weights:s}=t,{size:i,binaryOutput:o}=r;if(1===a.shape.length){const e=n.readSync(a.dataId),t=n.readSync(s.dataId),r=jT(e,t,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,r)}if(2===a.shape.length){const e=n.bufferSync(a),t=n.bufferSync(s),r=HT(e,t,i,o);return n.makeTensorInfo(r.shape,s.dtype,r.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${a.shape.length}.`)}};class iM{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = ${this.getHeightCoordString()};\n int w = ${this.getWidthCoordString()};\n int d = ${this.getDepthCoordString()};\n\n int in_h = h / ${t};\n int offset_h = imod(h, ${t});\n int in_w = w / ${t};\n int offset_w = imod(w, ${t});\n int offset_d = (offset_h * ${t} + offset_w) *\n ${this.getOutputDepthSize()};\n int in_d = d + offset_d;\n\n float result = ${this.getInputSamplingString()};\n setOutput(result);\n }\n `}getHeightCoordString(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"}getWidthCoordString(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"}getDepthCoordString(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"}getOutputDepthSize(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}const oM={kernelName:Tt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockSize:s,dataFormat:i}=r;Q(s>1,(()=>`blockSize should be > 1 for depthToSpace, but was: ${s}`));const o=a.shape[0],l="NHWC"===i?a.shape[1]:a.shape[2],u="NHWC"===i?a.shape[2]:a.shape[3],c="NHWC"===i?a.shape[3]:a.shape[1],h=l*s,f=u*s,d=c/(s*s),p=new iM("NHWC"===i?[o,h,f,d]:[o,d,h,f],s,i);return n.runWebGLProgram(p,[a],a.dtype)}};class lM{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;const s=e.inHeight,i=e.inWidth,o=e.padInfo.top,l=e.padInfo.left,u=e.strideHeight,c=e.strideWidth,h=e.dilationHeight,f=e.dilationWidth,d=e.filterHeight,p=e.filterWidth,m=e.outChannels/e.inChannels;let g="",y="";n&&(g=r?`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:a?`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:`\n float activation(float x) {\n ${n}\n }\n `,y="result = activation(result);");const b=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode=`\n ${g}\n\n const ivec2 strides = ivec2(${u}, ${c});\n const ivec2 pads = ivec2(${o}, ${l});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ${m};\n int q = d2 - d1 * ${m};\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < ${d}; wR++) {\n int xR = xRCorner + wR * ${h};\n\n if (xR < 0 || xR >= ${s}) {\n continue;\n }\n\n for (int wC = 0; wC < ${p}; wC++) {\n int xC = xCCorner + wC * ${f};\n\n if (xC < 0 || xC >= ${i}) {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n\n float result = dotProd;\n ${b}\n ${y}\n setOutput(result);\n }\n `}}class uM{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;const s=e.outChannels/e.inChannels,i=e.inHeight,o=e.inWidth,l=e.padInfo.top,u=e.padInfo.left,c=e.strideHeight,h=e.strideWidth,f=e.dilationHeight,d=e.dilationWidth,p=e.filterHeight,m=e.filterWidth,g=m;let y="\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;";for(let e=0;e=0 && xR < ${i}) {\n `;for(let t=0;t<(g+1)/2;t++){const n=2*t,r=n*d;if(y+=`\n xC = xCCorner + ${r};\n `,1===h){if(n= 0 && xCOffset < ${o} && xTexelC${r}Ready == 0) {\n xTexelC${r} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= ${o}) {\n xTexelC${r}.zw = vec2(0.0);\n }\n xTexelC${r}Ready = 1;\n }\n `,y+=1===d&&r>0?`\n xC${n} = vec4(xTexelC${r-2}.zw, xTexelC${r}.xy);\n `:`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < ${o}) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= ${o}) {\n previous.zw = vec2(0.0);\n }\n\n xC${n} = vec4(previous.zw, xTexelC${r}.xy);\n } else {\n xC${n} = vec4(0.0, 0.0, xTexelC${r}.xy);\n }\n `):y+=`\n if (xC >= 0 && xC < ${o} && xTexelC${r}Ready == 0) {\n xTexelC${r} = getX(batch, xR, xC, d1);\n if (xC + 1 >= ${o}) {\n xTexelC${r}.zw = vec2(0.0);\n }\n xTexelC${r}Ready = 1;\n }\n\n xC${n} = xTexelC${r};\n `,r+1= 0 && xCOffset < ${o} && xTexelC${r+2}Ready == 0) {\n xTexelC${r+2} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= ${o}) {\n xTexelC${r+2}.zw = vec2(0.0);\n }\n xTexelC${r+2}Ready = 1;\n }\n `,d>1&&(y+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < ${o} && xTexelC${r}Ready == 0) {\n xTexelC${r} = getX(batch, xR, xCOffset, d1);\n xTexelC${r}Ready = 1;\n }\n `),y+=`\n xC${n+1} = vec4(xTexelC${r}.zw, xTexelC${r+2}.xy);\n `):y+=1===e?`\n xC${n+1} = xTexelC${r};\n `:`\n xCOffset = xC + ${e};\n\n if (xCOffset >= 0 && xCOffset < ${o} && xTexelC${r+2}Ready == 0) {\n xTexelC${r+2} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= ${o}) {\n xTexelC${r+2}.zw = vec2(0.0);\n }\n xTexelC${r+2}Ready = 1;\n }\n\n xC${n+1} = xTexelC${r+2};\n `}}else r= 0 && xCOffset < ${o} && xTexelC${r}Ready == 0) {\n xTexelC${r} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= ${o}) {\n xTexelC${r}.zw = vec2(0.0);\n }\n xTexelC${r}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < ${o} && xTexelC${r+2}Ready == 0) {\n xTexelC${r+2} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= ${o}) {\n xTexelC${r+2}.zw = vec2(0.0);\n }\n xTexelC${r+2}Ready = 1;\n }\n\n xC${n} = vec4(xTexelC${r}.zw, xTexelC${r+2}.zw);\n `,r+1= 0 && xCOffset < ${o}) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${n+1} = vec4(xTexelC${r+2}.xy, final.xy);\n `)):(y+=`\n if(xC >= 0 && xC < ${o} && xTexelC${r}Ready == 0) {\n xTexelC${r} = getX(batch, xR, xC, d1);\n if (xC + 1 >= ${o}) {\n xTexelC${r}.zw = vec2(0.0);\n }\n xTexelC${r}Ready = 1;\n }\n\n xCOffset = xC + ${h};\n if(xCOffset >= 0 && xCOffset < ${o} && xTexelC${r+2}Ready == 0) {\n xTexelC${r+2} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= ${o}) {\n xTexelC${r+2}.zw = vec2(0.);\n }\n xTexelC${r+2}Ready = 1;\n }\n\n xC${n} = vec4(\n xTexelC${r}.xy, xTexelC${r+2}.xy);\n `,r+1`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`));const h=vl(a.shape,s.shape,i,c,o,u,!0);let f;return f=We().getBool("WEBGL_PACK_DEPTHWISECONV")&&h.strideWidth<=2&&h.outChannels/h.inChannels==1?new uM(h):new lM(h),n.runWebGLProgram(f,[a,s],"float32")}};class hM{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;const t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * ${s} + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${t} - ${r};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${a};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class fM{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;const t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=`\n const ivec2 pads = ivec2(${s}, ${i});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < ${t}; wR++) {\n float dyR = float(dyRCorner + wR) / ${r}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${t} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm < ${o}; dm++) {\n int d2 = d1 * ${o} + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n `}}const dM={kernelName:Rt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:c}=r,h=vl(a.shape,c,i,o,l,u,!0),f=new hM(h);return n.runWebGLProgram(f,[a,s],"float32")}},pM={kernelName:Ot,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:c}=r,h=vl(c,s.shape,i,o,l,u,!0),f=new fM(h);return n.runWebGLProgram(f,[a,s],"float32")}};class mM{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode="\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n "}}const gM={kernelName:Mt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{x:r}=t,a=[...r.shape,...r.shape],s=re(r.shape),i=nR({inputs:{x:r},backend:n,attrs:{shape:[s]}}),o=new mM(s),l=n.runWebGLProgram(o,[i],i.dtype),u=nR({inputs:{x:l},backend:n,attrs:{shape:a}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}};class yM{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;const{inHeight:t,inWidth:n,padInfo:r,strideHeight:a,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:u}=e,{top:c,left:h}=r;this.userCode=`\n const ivec2 strides = ivec2(${a}, ${s});\n const ivec2 pads = ivec2(${c}, ${h});\n const float neg_infinity = -3.4e38;\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.w;\n ivec2 outTopLeftCorner =\n coords.yz * strides - pads;\n int hBeg = outTopLeftCorner.x;\n int wBeg = outTopLeftCorner.y;\n\n float curVal = neg_infinity;\n for (int h = 0; h < ${i}; h++) {\n int hIn = hBeg + h * ${l};\n\n if (hIn >= 0 && hIn < ${t}) {\n for (int w = 0; w < ${o}; w++) {\n int wIn = wBeg + w * ${u};\n\n if (wIn >= 0 && wIn < ${n}) {\n float xVal = getX(batch, hIn, wIn, d1);\n float wVal = getW(h, w, d1);\n\n float val = xVal + wVal;\n if (val > curVal) {\n curVal = val;\n }\n }\n }\n }\n }\n\n float result = curVal;\n setOutput(result);\n }\n `}}const bM={kernelName:Bt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dilations:l}=r,u=gl(a.shape,s.shape,i,o,"NHWC",l);let c;const h=new yM(u);c=n.runWebGLProgram(h,[a,s],"float32");const f=nR({inputs:{x:c},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(c),f}},vM={kernelName:zt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{equation:a}=r,s=t,{allDims:i,summedDims:o,idDims:l}=kd(a,s.length);Cd(i.length,l,s);const{path:u,steps:c}=Sd(o,l),h=c.length;let f=null,d=i.length;const p=[];for(let e=0;e=0&&(f=cR({inputs:{x:f},backend:n,attrs:{axis:u[e]-(i.length-d),keepDims:!1}}),p.push(f)),d--)}for(const e of p)e!==f&&n.disposeIntermediateTensorInfo(e);return f}},wM=KF({opSnippet:"return (x >= 0.0) ? x : (exp(x) - 1.0);",packedOpSnippet:"\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n"}),_M={kernelName:Wt,backendName:"webgl",kernelFunc:wM},xM={kernelName:Ut,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n}=e,{dy:r,y:a}=t,s=We().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new $F("\n vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",r.shape,a.shape):new BF("return (b >= 1.0) ? a : a * (b + 1.0);",r.shape,a.shape);return n.runWebGLProgram(s,[r,a],r.dtype)}},kM=qF({opSnippet:"return float(a == b);",packedOpSnippet:"\n return vec4(equal(a, b));\n",dtype:"bool"}),EM={kernelName:jt,backendName:"webgl",kernelFunc:kM},CM=KF({opSnippet:`\n // Error function is calculated approximately with elementary function.\n // See "Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n float p = ${id};\n float a1 = ${od};\n float a2 = ${ld};\n float a3 = ${ud};\n float a4 = ${cd};\n float a5 = ${hd};\n\n float sign = sign(x);\n x = abs(x);\n float t = 1.0 / (1.0 + p * x);\n return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`}),SM={kernelName:Vt,backendName:"webgl",kernelFunc:CM},NM="return exp(x);",IM=KF({opSnippet:NM,packedOpSnippet:NM,cpuKernelImpl:KT}),AM={kernelName:Ht,backendName:"webgl",kernelFunc:IM};function DM(e){const{inputs:t,attrs:n,backend:r}=e,{dim:a}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice();let l=a;return a<0&&(Q(-(i+1)<=a,(()=>`Axis must be in the interval [${-(i+1)}, ${i}]`)),l=i+a+1),o.splice(l,0,1),nR({inputs:{x:s},backend:r,attrs:{shape:o}})}const TM={kernelName:Gt,backendName:"webgl",kernelFunc:DM},FM="return exp(x) - 1.0;",RM=KF({opSnippet:FM,packedOpSnippet:FM,cpuKernelImpl:qT}),OM={kernelName:Xt,backendName:"webgl",kernelFunc:RM};class MM{constructor(e,t,n){this.variableNames=["real","imag"];const r=t[1];this.outputShape=t;const a=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=n?`${r}.0`:"1.0";let i;if("real"===e)i="return real * expR - imag * expI;";else{if("imag"!==e)throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);i="return real * expI + imag * expR;"}this.userCode=`\n const float exponentMultiplier = ${a};\n\n float unaryOpComplex(float real, float expR, float imag, float expI) {\n ${i}\n }\n\n float mulMatDFT(int batch, int index) {\n float indexRatio = float(index) / float(${r});\n float exponentMultiplierTimesIndexRatio =\n exponentMultiplier * indexRatio;\n\n float result = 0.0;\n\n for (int i = 0; i < ${r}; i++) {\n // x = (-2|2 * PI / N) * index * i;\n float x = exponentMultiplierTimesIndexRatio * float(i);\n float expR = cos(x);\n float expI = sin(x);\n float real = getReal(batch, i);\n float imag = getImag(batch, i);\n\n result +=\n unaryOpComplex(real, expR, imag, expI) / ${s};\n }\n\n return result;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n setOutput(mulMatDFT(coords[0], coords[1]));\n }\n `}}function BM(e,t,n){const r=n.texData.get(e.dataId),a=re(e.shape),s=e.shape[e.shape.length-1],i=nR({inputs:{x:e},backend:n,attrs:{shape:[a/s,s]}}),o=i.shape,l=new MM("real",o,t),u=new MM("imag",o,t),c=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:o},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:o}],h=n.runWebGLProgram(l,c,"float32"),f=n.runWebGLProgram(u,c,"float32"),d=zF({inputs:{real:h,imag:f},backend:n});n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f);const p=nR({inputs:{x:d},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(d),p}const $M={kernelName:Kt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{input:r}=t;return BM(r,!1,n)}};class PM{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode="\n uniform float value;\n void main() {\n // Input can be obtained from uniform value.\n setOutput(value);\n }\n "}getCustomSetupFunc(e){return(t,n)=>{null==this.valueLoc&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}}function LM(e){const{backend:t,attrs:n}=e,{shape:r,value:a}=n;let{dtype:s}=n;if(s=s||Se(a),"string"===s){const e=ge(s,re(r));return e.fill(a),t.makeTensorInfo(r,s,e)}{const e=new PM(r,a),n=e.getCustomSetupFunc(a);return t.runWebGLProgram(e,[],s,n)}}const zM={kernelName:qt,backendName:"webgl",kernelFunc:LM};class WM{constructor(e){this.variableNames=["Image"],this.outputShape=[];const t=e[2];this.outputShape=e,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n\n int coordX = ${t} - x;\n float outputValue;\n if(coordX >= 0 && coordX < ${t}) {\n outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n } else {\n outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n }\n setOutput(outputValue);\n }\n `}}const UM={kernelName:Yt,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{const{image:n}=e,r=t,a=new WM(n.shape);return r.runWebGLProgram(a,[n],n.dtype)}},VM="return floor(x);",jM=KF({opSnippet:VM,packedOpSnippet:VM,cpuKernelImpl:YT}),HM={kernelName:Jt,backendName:"webgl",kernelFunc:jM},GM=qF({opSnippet:"\n float s = sign(a) * sign(b);\n int ia = round(a);\n int ib = round(b);\n if (ib != 0) {\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n return float(idiv(ia, ib, s));\n } else {\n return NAN;\n }\n",packedOpSnippet:"\n ivec4 ia = round(a);\n ivec4 ib = round(b);\n bvec4 cond = notEqual(ib, ivec4(0));\n ivec4 result = ivec4(0);\n vec4 s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n result[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n result[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n result[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n result[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(result);\n",dtype:"int32"}),XM={kernelName:Zt,backendName:"webgl",kernelFunc:GM};class KM{constructor(e){this.variableNames=["A"];const t=fT(),[n,r]=e;this.outputShape=e,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${r}.0, ${n}.0);\n\n vec4 values = ${t.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n setOutput(floor(value * 255.0 + 0.5));\n }\n `}}class qM{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;const t=fT(),[n,r]=e;this.outputShape=e,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n\n vec4 result = vec4(0.);\n\n for(int row=0; row<=1; row++) {\n for(int col=0; col<=1; col++) {\n texC = coords[1] + row;\n depth = coords[2] + col;\n\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(${r}.0, ${n}.0);\n vec4 values = ${t.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n result[row * 2 + col] = floor(value * 255.0 + 0.5);\n }\n }\n\n ${t.output} = result;\n }\n `}}const YM={kernelName:Wr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e;let{pixels:a}=t;const{numChannels:s}=r,i="undefined"!=typeof HTMLVideoElement&&a instanceof HTMLVideoElement,o="undefined"!=typeof HTMLImageElement&&a instanceof HTMLImageElement,[l,u]=i?[a.videoWidth,a.videoHeight]:[a.width,a.height],c=[u,l],h=[u,l,s];(o||i)&&(null==JM&&(JM=document.createElement("canvas").getContext("2d")),JM.canvas.width=l,JM.canvas.height=u,JM.drawImage(a,0,0,l,u),a=JM.canvas);const f=n.makeTensorInfo(c,"int32");n.texData.get(f.dataId).usage=$D.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(f.dataId),a);const d=We().getBool("WEBGL_PACK")?new qM(h):new KM(h),p=n.runWebGLProgram(d,[f],"int32");return n.disposeData(f.dataId),p}};let JM;const ZM={kernelName:jr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:c,dilations:h,dimRoundingMode:f,activation:d,leakyreluAlpha:p}=r,m=Il(c),g=vl(a.shape,s.shape,l,h,u,f,!1,m);let y;const b=[];if(1!==g.filterHeight||1!==g.filterWidth||1!==g.dilationHeight||1!==g.dilationWidth||1!==g.strideHeight||1!==g.strideWidth||"SAME"!==g.padInfo.type&&"VALID"!==g.padInfo.type)if(We().getBool("WEBGL_CONV_IM2COL")&&1===a.shape[0])y=PO({x:a,filter:s,convInfo:g,backend:n,bias:i,activation:d,preluActivationWeights:o,leakyreluAlpha:p});else{const e=null!=i,t=null!=o,r="leakyrelu"===d,l=d?YF(d,!1):null,u=new OO(g,e,l,t,r),c=[a,s];if(i&&c.push(i),o&&c.push(o),r){const e=n.makeTensorInfo([],"float32",ra(p,"float32"));c.push(e),b.push(e)}y=n.runWebGLProgram(u,c,"float32")}else y=$O({x:a,filter:s,convInfo:g,backend:n,bias:i,activation:d,preluActivationWeights:o,leakyreluAlpha:p});const v=nR({inputs:{x:y},backend:n,attrs:{shape:g.outShape}});return b.push(y),b.forEach((e=>n.disposeIntermediateTensorInfo(e))),v}},QM={kernelName:Hr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:c,dimRoundingMode:h,activation:f,leakyreluAlpha:d}=r,p=[];let m=c;null==m&&(m=[1,1]),Q(Nl(l,m),(()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${m}'`));const g=vl(a.shape,s.shape,l,m,u,h,!0),y=We().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,b=f?YF(f,y):null,v=[a,s],w=null!=i,_=null!=o,x="leakyrelu"===f;if(w&&v.push(i),_&&v.push(o),x){const e=n.makeTensorInfo([],"float32",ra(d,"float32"));v.push(e),p.push(e)}let k;k=y?new uM(g,w,b,_,x):new lM(g,w,b,_,x);const E=n.runWebGLProgram(k,v,"float32");return p.forEach((e=>n.disposeIntermediateTensorInfo(e))),E}};class eB{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;const r=LT(t.length),a=LT(n.length),s=this.sliceDim>1?"strides[j]":"strides";this.userCode=`\n ${r} strides = ${r}(${this.strides});\n void main() {\n ${a} coords = getOutputCoords();\n int flattenIndex = 0;\n for (int j = 0; j < ${this.sliceDim}; j++) {\n int index = round(getIndices(coords[0], j));\n flattenIndex += index * ${s};\n }\n setOutput(getX(flattenIndex, coords[1]));\n }\n `}}const tB={kernelName:tn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{params:r,indices:a}=t,s=a.shape,i=s[s.length-1],[o,l,u,c]=Ei(r,a),h=nR({inputs:{x:a},backend:n,attrs:{shape:[l,i]}}),f=nR({inputs:{x:r},backend:n,attrs:{shape:[re(r.shape)/u,u]}}),d=new eB(i,c,[l,u]),p=n.runWebGLProgram(d,[f,h],f.dtype),m=nR({inputs:{x:p},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(p),m}};class nB{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;const n=LT(this.rank),r=function(e,t){const n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[];for(let t=0;tn.disposeIntermediateTensorInfo(e))),n.makeTensorInfo(l.outputShape,r.dtype,r.values)}const p=new nB(h.shape,d),m=n.runWebGLProgram(p,[h,f],h.dtype);c.push(m);const g=nR({inputs:{x:m},backend:n,attrs:{shape:l.outputShape}});return c.forEach((e=>n.disposeIntermediateTensorInfo(e))),g}},aB=qF({opSnippet:"return float(a > b);",packedOpSnippet:"\n return vec4(greaterThan(a, b));\n",cpuKernelImpl:ZT,dtype:"bool"}),sB={kernelName:nn,backendName:"webgl",kernelFunc:aB},iB=qF({opSnippet:"return float(a >= b);",packedOpSnippet:"\n return vec4(greaterThanEqual(a, b));\n",dtype:"bool"}),oB={kernelName:rn,backendName:"webgl",kernelFunc:iB},lB={kernelName:sn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{input:r}=t;return BM(r,!0,n)}},uB=KF({opSnippet:"return float(!isnan(x) && !isinf(x));",dtype:"bool"}),cB={kernelName:ln,backendName:"webgl",kernelFunc:uB},hB=KF({opSnippet:"return float(isinf(x));",dtype:"bool"}),fB={kernelName:un,backendName:"webgl",kernelFunc:hB},dB=KF({opSnippet:"return float(isnan(x));",dtype:"bool"}),pB={kernelName:cn,backendName:"webgl",kernelFunc:dB},mB=qF({opSnippet:"return float(a < b);",packedOpSnippet:"\n return vec4(lessThan(a, b));\n",cpuKernelImpl:QT,dtype:"bool"}),gB={kernelName:fn,backendName:"webgl",kernelFunc:mB},yB=qF({opSnippet:"return float(a <= b);",packedOpSnippet:"\n return vec4(lessThanEqual(a, b));\n",dtype:"bool"}),bB={kernelName:dn,backendName:"webgl",kernelFunc:yB},vB={kernelName:pn,backendName:"webgl",kernelFunc:function(e){const{backend:t,attrs:n}=e,{start:r,stop:a,num:s}=n,i=eF(r,a,s);return t.makeTensorInfo([i.length],"float32",i)}},wB=KF({opSnippet:"if (x < 0.0) return NAN;\n return log(x);",packedOpSnippet:"\n vec4 result = log(x);\n vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n result.r = isNaN.r == 1.0 ? NAN : result.r;\n result.g = isNaN.g == 1.0 ? NAN : result.g;\n result.b = isNaN.b == 1.0 ? NAN : result.b;\n result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n return result;\n",cpuKernelImpl:tF}),_B={kernelName:mn,backendName:"webgl",kernelFunc:wB},xB=KF({opSnippet:"return log(1.0 + x);"}),kB={kernelName:gn,backendName:"webgl",kernelFunc:xB},EB=qF({opSnippet:"return float(a >= 1.0 && b >= 1.0);",packedOpSnippet:"\n return vec4(\n vec4(greaterThanEqual(a, vec4(1.0))) *\n vec4(greaterThanEqual(b, vec4(1.0))));\n",dtype:"bool"}),CB={kernelName:yn,backendName:"webgl",kernelFunc:EB},SB=KF({opSnippet:"return float(!(x >= 1.0));"}),NB={kernelName:bn,backendName:"webgl",kernelFunc:SB},IB=qF({opSnippet:"return float(a >= 1.0 || b >= 1.0);",packedOpSnippet:"\n return min(\n vec4(greaterThanEqual(a, vec4(1.0))) +\n vec4(greaterThanEqual(b, vec4(1.0))),\n vec4(1.0));\n",dtype:"bool"}),AB={kernelName:vn,backendName:"webgl",kernelFunc:IB};class DB{constructor(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];const s=t,i=e[3]-1;let o;this.outputShape=e;const l=`float(${n}) + float(${r}) * sum`;o=.5===a?`inversesqrt(${l})`:1===a?`1.0/(${l})`:`exp(log(${l}) * float(-${a}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -${s}; j <= ${s}; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= ${i}) {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * ${o};\n setOutput(val);\n }\n `}}class TB{constructor(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;const s=t,i=e[3]-1;let o;this.outputShape=e;const l=`float(${n}) + float(${r}) * sum`;o=.5===a?`inversesqrt(${l})`:1===a?`1.0/(${l})`:`exp(log(${l}) * float(-${a}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords.x;\n int r = coords.y;\n int c = coords.z;\n int d = coords.w;\n\n bool hasNextCol = d < ${this.outputShape[3]};\n bool hasNextRow = c < ${this.outputShape[2]};\n\n vec4 sum = vec4(0.);\n vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n vec4 xAtOutputCoords = vec4(\n getChannel(xFragAtOutputCoords, vec2(c, d)),\n hasNextCol ?\n getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n hasNextRow ?\n getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n (hasNextRow && hasNextCol) ?\n getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n );\n\n int firstChannel = d - ${s};\n vec2 cache = vec2(0.);\n if(firstChannel >= 0){\n vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n if(hasNextRow){\n cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n }\n }\n\n ivec2 depth = ivec2(d, d + 1);\n for (int j = - ${s}; j <= ${s}; j++) {\n ivec2 idx = depth + j;\n bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${i}));\n\n bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n if(depthInRange || depthPlusOneInRange){\n vec4 z = vec4(0.);\n vec4 xFragAtCurrentDepth;\n z.xz = cache.xy;\n if(depthPlusOneInRange && hasNextCol){\n xFragAtCurrentDepth = idx.y != d ?\n getX(b, r, c, idx.y) : xFragAtOutputCoords;\n z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n if(hasNextRow){\n z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n }\n }\n cache.xy = z.yw;\n sum += z * z;\n }\n }\n vec4 result = xAtOutputCoords * ${o};\n setOutput(result);\n }\n `}}const FB={kernelName:_n,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=r,u=We().getBool("WEBGL_PACK_NORMALIZATION")?new TB(a.shape,s,i,o,l):new DB(a.shape,s,i,o,l);return n.runWebGLProgram(u,[a],a.dtype)}};class RB{constructor(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n\n float result = 0.0;\n for (int d = 0; d < ${this.depth}; ++d) {\n int depthBegin = int(max(0.0, float(d - ${t})));\n int depthEnd = int(min(float(${this.depth}),\n float(d + ${t} + 1)));\n\n const int MIN_DEPTH_BEGIN = 0;\n const int MAX_DEPTH_END = ${this.depth};\n\n float norm = 0.0;\n for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd) {\n norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n }\n else {\n break;\n }\n }\n\n norm = float(${r}) * norm + float(${n});\n\n for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd){\n float dyi = -2.0 * float(${r})\n * float(${a})\n * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n / norm;\n if (k == d) {\n dyi += pow(norm, -1.0 * ${a});\n }\n if (k == coords[3]) {\n dyi *= getDy(b, r, c, d);\n result += dyi;\n }\n }\n else {\n break;\n }\n }\n }\n setOutput(result);\n }\n `}}const OB={kernelName:xn,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{x:a,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:c}=r,h=new RB(a.shape,o,l,u,c);return n.runWebGLProgram(h,[a,s,i],a.dtype)}};function MB(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{reductionIndices:s,keepDims:i}=r,o=a.shape.length,l=de(s,a.shape);let u=l;const c=qu(u,o),h=null!=c,f=n.shouldExecuteOnCPU([a]);let d=a;if(h){if(f){const e=n.texData.get(d.dataId).values,t=new Array(o);for(let e=0;e 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n",cpuKernelImpl:rF}),PB={kernelName:En,backendName:"webgl",kernelFunc:$B},LB={kernelName:Cn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t;cT(a,"maxPool");const{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=r;Q(Nl(i,1),(()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '1'`));const u=yl(a.shape,s,i,1,o,l);if(1===u.filterWidth&&1===u.filterHeight&&se(u.inShape,u.outShape))return PF({inputs:{x:a},backend:n});const c=new XR(u,"max",!1);return n.runWebGLProgram(c,[a],a.dtype)}},zB={kernelName:Nn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=r,c=bl(a.shape,s,i,[1,1,1],o,u,l),h=new KR(c,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}};class WB{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;const t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,a=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=a-1-e.padInfo.top,o=s-1-e.padInfo.left,l=a*s-1;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${o});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${a};\n wR += ${r}) {\n float dyR = float(dyRCorner + wR) / ${t}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${s}; wC++) {\n float dyC = float(dyCCorner + wC) / ${n}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue = wR * ${s} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n `}}class UB{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;const t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=o-1-e.padInfo.front,h=l-1-e.padInfo.top,f=u-1-e.padInfo.left,d=o*l*u-1;this.userCode=`\n const ivec3 pads = ivec3(${c}, ${h}, ${f});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${o};\n wD += ${a}) {\n float dyD = float(dyDCorner + wD) / ${t}.0;\n\n if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${l};\n wR += ${s}) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${u};\n wC += ${i}) {\n float dyC = float(dyCCorner + wC) / ${r}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n int maxPosValue = ${d} -\n int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue =\n wD * ${l} * ${u} +\n wR * ${u} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n }\n setOutput(dotProd);\n }\n `}}const VB={kernelName:In,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:c}=r,h=bl(i.shape,o,l,[1,1,1],u,c),f=new KR(h,"max",!0),d=n.runWebGLProgram(f,[i],i.dtype),p=new UB(h),m=n.runWebGLProgram(p,[a,d],i.dtype);return n.disposeIntermediateTensorInfo(d),m}},jB={kernelName:Sn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s,output:i}=t,o=s;cT([s,i],"maxPoolGrad");const{filterSize:l,strides:u,pad:c,dimRoundingMode:h}=r,f=yl(o.shape,l,u,1,c,h),d=new XR(f,"max",!0),p=n.runWebGLProgram(d,[o],o.dtype),m=new WB(f),g=n.runWebGLProgram(m,[a,p],o.dtype);return n.disposeIntermediateTensorInfo(p),g}},HB={kernelName:An,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{const{x:r}=e,{filterSize:a,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;Q(4===r.shape.length,(()=>`Error in maxPool: input must be rank 4 but got rank ${r.shape.length}.`));const u=[1,1];Q(Nl(s,u),(()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`));const c=yl(r.shape,a,s,u,i),[h,f]=function(e,t,n,r){let a=new XR(n,"max",!1);const s=r.runWebGLProgram(a,[e],"float32");return a=new XR(n,"max",!0,!0,t),[s,r.runWebGLProgram(a,[e],"float32")]}(r,o,c,l);return[h,f]}},GB={kernelName:Dn,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{const{x:r}=e,{keepDims:a,axis:s}=t,i=n,o=r.shape.length,l=de(s,r.shape);let u=l;const c=qu(u,o),h=null!=c,f=i.shouldExecuteOnCPU([r]),d=[];let p=r;if(h){if(f){const e=i.texData.get(p.dataId).values,t=new Array(o);for(let e=0;e 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n",cpuKernelImpl:aF}),qB={kernelName:Fn,backendName:"webgl",kernelFunc:KB};class YB{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map(((t,n)=>t[0]+e[n]+t[1]));const r=e.length,a=LT(r),s=t.map((e=>e[0])).join(","),i=t.map(((t,n)=>t[0]+e[n])).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r),l="reflect"===n?0:1;this.userCode=1!==r?`\n ${a} start = ${a}(${s});\n ${a} end = ${a}(${i});\n\n void main() {\n ${a} outC = getOutputCoords();\n for (int i = 0; i < ${r}; i++) {\n if (outC[i] < start[i]) {\n outC[i] = start[i] * 2 - outC[i] - ${l};\n } else if(outC[i] >= end[i]) {\n outC[i] = (end[i] - 1) * 2 - outC[i] + ${l};\n }\n }\n ${a} coords = outC - start;\n setOutput(getX(${o}));\n }\n `:`\n int start = ${s};\n int end = ${i};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start) {\n outC = start * 2 - outC - ${l};\n } else if(outC >= end) {\n outC = (end - 1) * 2 - outC + ${l};\n }\n setOutput(getX(outC - start));\n }\n `}}class JB{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map(((t,n)=>t[0]+e[n]+t[1]));const r=e.length,a=LT(r),s=t.map((e=>e[0])).join(","),i=t.map(((t,n)=>t[0]+e[n])).join(","),o=_F("rc",r),l=_F("source",r),u=`${o[r-1]} < ${this.outputShape[r-1]}`,c=1===r?"source":`vec2(${l.slice(-2).join()})`,h="reflect"===n?0:1;let f="";if(1===r){const e=`\n ${a} source = rc;\n if (source < start) {\n source = start * 2 - source - ${h};\n } else if (source >= end) {\n source = (end - 1) * 2 - source + ${h};\n }\n source -= start;\n `;f=`\n ${a} rc = outputLoc;\n ${e}\n result[0] = getChannel(getX(${l.join()}), ${c});\n ${o[r-1]} += 1;\n if(${u}) {\n ${e}\n result[1] = getChannel(getX(${l.join()}), ${c});\n }\n `}else{const e=`\n ${a} source = rc;\n ${a} lt = ${a}(lessThan(source, start));\n ${a} gte = ${a}(greaterThanEqual(source, end));\n ${a} orig = 1 - (lt + gte);\n source = orig * source +\n lt * (start * 2 - source - ${h}) +\n gte * ((end - 1) * 2 - source + ${h});\n source -= start;\n `;f=`\n ${a} rc = outputLoc;\n ${e}\n result[0] = getChannel(getX(${l.join()}), ${c});\n ${o[r-1]} += 1;\n if(${u}) {\n ${e}\n result[1] = getChannel(getX(${l.join()}), ${c});\n }\n rc = outputLoc;\n ${o[r-2]} += 1;\n if(${o[r-2]} < ${this.outputShape[r-2]}) {\n ${e}\n result[2] = getChannel(getX(${l.join()}), ${c});\n ${o[r-1]} += 1;\n if(${u}) {\n ${e}\n result[3] = getChannel(getX(${l.join()}), ${c});\n }\n }\n `}this.userCode=`\n const ${a} start = ${a}(${s});\n const ${a} end = ${a}(${i});\n\n void main() {\n ${a} outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n ${f}\n setOutput(result);\n }\n `}}const ZB={kernelName:Rn,backendName:"webgl",kernelFunc:({inputs:e,backend:t,attrs:n})=>{const{x:r}=e,{paddings:a,mode:s}=n,i=We().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new JB(r.shape,a,s):new YB(r.shape,a,s);return t.runWebGLProgram(i,[r],r.dtype)}},QB=qF({opSnippet:"if (b == 0.0) return NAN;\n return mod(a, b);",packedOpSnippet:"\n vec4 result = mod(a, b);\n vec4 isNaN = vec4(equal(b, vec4(0.0)));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n"}),e$={kernelName:On,backendName:"webgl",kernelFunc:QB};class t${constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode=`\n uniform float seed;\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n\n float r = random(seed);\n float cdf = 0.0;\n\n for (int i = 0; i < ${t-1}; i++) {\n cdf += getProbs(batch, i);\n\n if (r < cdf) {\n setOutput(float(i));\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutput(float(${t-1}));\n }\n `}getCustomSetupFunc(e){return(t,n)=>{null==this.seedLoc&&(this.seedLoc=t.getUniformLocation(n,"seed")),t.gl.uniform1f(this.seedLoc,e)}}}const n$=qF({opSnippet:"\nif (a == b) {\n return 1.0;\n};\nreturn a / b;",packedOpSnippet:"\n // vec4 one = vec4(equal(a, b));\n // return one + (vec4(1.0) - one) * a / b;\n vec4 result = a / b;\n if(a.x == b.x) {\n result.x = 1.;\n }\n if(a.y == b.y) {\n result.y = 1.;\n }\n if(a.z == b.z) {\n result.z = 1.;\n }\n if(a.w == b.w) {\n result.w = 1.;\n }\n\n return result;\n",checkOutOfBounds:!0}),r$={kernelName:Lt,backendName:"webgl",kernelFunc:n$},a$="return a - b;",s$=qF({opSnippet:a$,packedOpSnippet:a$,supportsComplex:!0,cpuKernelImpl:mF}),i$={kernelName:Ar,backendName:"webgl",kernelFunc:s$};function o$(e){const{inputs:t,backend:n,attrs:r}=e,{logits:a}=t,{dim:s}=r,i=de([s],a.shape),o=MB({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=Xu(o.shape,i),u=nR({inputs:{x:o},backend:n,attrs:{shape:l}}),c=s$({inputs:{a,b:u},backend:n}),h=IM({inputs:{x:c},backend:n}),f=cR({inputs:{x:h},backend:n,attrs:{axis:i,keepDims:!1}}),d=nR({inputs:{x:f},backend:n,attrs:{shape:l}}),p=n$({inputs:{a:h,b:d},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),p}const l$={kernelName:xr,backendName:"webgl",kernelFunc:o$},u$={kernelName:Mn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{logits:a}=t,{numSamples:s,seed:i,normalized:o}=r,l=o?a:o$({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),u=l.shape[0],c=l.shape[1],h=new t$(u,c,s),f=h.getCustomSetupFunc(i),d=n.runWebGLProgram(h,[l],"int32",f);return o||n.disposeIntermediateTensorInfo(l),d}},c$="return -x;",h$={kernelName:$n,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{x:r}=t;if(n.shouldExecuteOnCPU([r])){const e=n.texData.get(r.dataId),[t,a]=iF(e.values,r.shape,r.dtype);return n.makeTensorInfo(a,r.dtype,t)}let a;return a=We().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new TF(r.shape,c$):new IF(r.shape,c$),n.runWebGLProgram(a,[r],r.dtype)}},f$=uf,d$={kernelName:Ln,backendName:"webgl",kernelFunc:function(e){fd("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=r,u=n.readSync(a.dataId),c=n.readSync(s.dataId),{selectedIndices:h}=f$(u,c,i,o,l);return n.makeTensorInfo([h.length],"int32",new Int32Array(h))}},p$=cf,m$={kernelName:zn,backendName:"webgl",kernelFunc:function(e){fd("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:u}=r,c=n.readSync(a.dataId),h=n.readSync(s.dataId),{selectedIndices:f,validOutputs:d}=p$(c,h,i,o,l,u);return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},g$=hf,y$={kernelName:Wn,backendName:"webgl",kernelFunc:function(e){fd("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=r,c=n.readSync(a.dataId),h=n.readSync(s.dataId),f=i,d=o,p=l,m=u,{selectedIndices:g,selectedScores:y}=g$(c,h,f,d,p,m);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([y.length],"float32",new Float32Array(y))]}};class b${constructor(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float(${r}), float(${n}),\n float(index == coords.y)));\n }\n `}}const v$={kernelName:Vn,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{indices:a}=t,{depth:s,onValue:i,offValue:o}=r,l=re(a.shape),u=new b$(l,s,i,o),c=nR({inputs:{x:a},backend:n,attrs:{shape:[l]}}),h=n.runWebGLProgram(u,[c],a.dtype);n.disposeIntermediateTensorInfo(c);const f=nR({inputs:{x:h},backend:n,attrs:{shape:[...a.shape,s]}});return n.disposeIntermediateTensorInfo(h),f}};function w$(e){const{inputs:t,backend:n}=e,{x:r}=t;if("complex64"===r.dtype){const e=pO({inputs:{input:r},backend:n}),t=w$({inputs:{x:e},backend:n}),a=AO({inputs:{input:r},backend:n}),s=w$({inputs:{x:a},backend:n}),i=zF({inputs:{real:t,imag:s},backend:n});return n.disposeIntermediateTensorInfo(e),n.disposeIntermediateTensorInfo(t),n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(s),i}return LM({attrs:{shape:r.shape,dtype:r.dtype,value:"string"===r.dtype?"":0},backend:n})}const _$={kernelName:Lr,backendName:"webgl",kernelFunc:w$},x$={kernelName:Un,backendName:"webgl",kernelFunc:function e(t){const{inputs:n,backend:r}=t,{x:a}=n;if("string"===a.dtype)throw new Error("onesLike is not supported under string dtype");if("complex64"===a.dtype){const t=pO({inputs:{input:a},backend:r}),n=e({inputs:{x:t},backend:r}),s=AO({inputs:{input:a},backend:r}),i=w$({inputs:{x:s},backend:r}),o=zF({inputs:{real:n,imag:i},backend:r});return r.disposeIntermediateTensorInfo(t),r.disposeIntermediateTensorInfo(n),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(i),o}return LM({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:r})}},k$={kernelName:jn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{axis:a}=r;if(1===t.length)return DM({inputs:{input:t[0]},backend:n,attrs:{dim:a}});const s=t[0].shape,i=t[0].dtype;t.forEach((e=>{ee(s,e.shape,"All tensors passed to stack must have matching shapes"),Q(i===e.dtype,(()=>"All tensors passed to stack must have matching dtypes"))}));const o=[],l=FO({inputs:t.map((e=>{const t=DM({inputs:{input:e},backend:n,attrs:{dim:a}});return o.push(t),t})),backend:n,attrs:{axis:a}});return o.forEach((e=>n.disposeIntermediateTensorInfo(e))),l}};class E${constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map(((t,n)=>t[0]+e[n]+t[1]));const r=e.length,a=LT(r),s=t.map((e=>e[0])).join(","),i=t.map(((t,n)=>t[0]+e[n])).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?`\n ${a} start = ${a}(${s});\n ${a} end = ${a}(${i});\n uniform float value;\n\n void main() {\n ${a} outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(value);\n } else {\n ${a} coords = outC - start;\n setOutput(getX(${o}));\n }\n }\n `:`\n int start = ${s};\n int end = ${i};\n uniform float value;\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(value);\n } else {\n setOutput(getX(outC - start));\n }\n }\n `}getCustomSetupFunc(e){return(t,n)=>{null==this.valueLoc&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}}class C${constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map(((t,n)=>t[0]+e[n]+t[1]));const r=e.length,a=LT(r),s=t.map((e=>e[0])).join(","),i=t.map(((t,n)=>t[0]+e[n])).join(","),o=_F("rc",r),l=_F("source",r),u=`${o[r-1]} < ${this.outputShape[r-1]}`,c=1===r?"source":`vec2(${l.slice(-2).join()})`,h=[`${a} rc = outputLoc;`,`${o[r-1]} += 1;\n if(${u}) {\n `,1===r?"":`}\n rc = outputLoc;\n ${o[r-2]} += 1;\n if(${o[r-2]} < ${this.outputShape[r-2]}) {`,1===r?"":` ${o[r-1]} += 1;\n if(${u}) {`],f=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))";let d="";for(let e=0,t=1===r?2:4;e{null==this.valueLoc&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}}const S$=e=>{const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{paddings:s,constantValue:i}=r,o=We().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new C$(a.shape,s,i):new E$(a.shape,s,i),l=o.getCustomSetupFunc(i);return n.runWebGLProgram(o,[a],a.dtype,l)},N$={kernelName:Hn,backendName:"webgl",kernelFunc:S$},I$=qF({opSnippet:"\n if(a < 0.0 && floor(b) < b){\n return NAN;\n }\n if (b == 0.0) {\n return 1.0;\n }\n return (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",packedOpSnippet:"\n // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n vec4 result = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n bvec4 isExpZero = equal(b, vec4(0.0));\n result.r = isExpZero.r ? 1.0 : result.r;\n result.g = isExpZero.g ? 1.0 : result.g;\n result.b = isExpZero.b ? 1.0 : result.b;\n result.a = isExpZero.a ? 1.0 : result.a;\n\n vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n"}),A$={kernelName:Xn,backendName:"webgl",kernelFunc:I$},D$={kernelName:qn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=[],u=de(s,a.shape);let c=u;const h=qu(c,o);let f,d=a;if(null!=h&&(d=fR({inputs:{x:a},backend:n,attrs:{perm:h}}),c=Ju(c.length,o),l.push(d)),Ku("prod",c,o),n.shouldExecuteOnCPU([d])){const e=n.texData.get(d.dataId).values,{outVals:t,outShape:r,outDtype:a}=oF(d.shape,d.dtype,e,c);f=n.makeTensorInfo(r,a,t)}else{const[e,t]=Gu(d.shape,c),r=re(t),s=nR({inputs:{x:d},backend:n,attrs:{shape:[-1,r]}}),i=iR(s,Ta(a.dtype),"prod",n);f=nR({inputs:{x:i},backend:n,attrs:{shape:e}}),l.push(s),l.push(i)}if(i){l.push(f);const e=Xu(f.shape,u);f=nR({inputs:{x:f},backend:n,attrs:{shape:e}})}return l.forEach((e=>n.disposeIntermediateTensorInfo(e))),f}},T$=e=>{const{backend:t,attrs:n}=e,{start:r,stop:a,step:s,dtype:i}=n,o=lF(r,a,s,i);return t.makeTensorInfo([o.length],i,o)},F$={kernelName:Yn,backendName:"webgl",kernelFunc:T$},R$=KF({opSnippet:"return 1.0 / x;"}),O$={kernelName:Zn,backendName:"webgl",kernelFunc:R$},M$=KF({opSnippet:"if (isnan(x)) return x;\n return (x < 0.0) ? 0.0 : x;\n",packedOpSnippet:"\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n"}),B$={kernelName:Qn,backendName:"webgl",kernelFunc:M$},$$=KF({opSnippet:"if (isnan(x)) return x;\n return (x < 0.0) ? 0.0 : min(6.0, x);\n",packedOpSnippet:"\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n"}),P$={kernelName:sr,backendName:"webgl",kernelFunc:$$};class L${constructor(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];const[s,i,o,l]=e;this.outputShape=[s,t,n,l];const u=[r&&t>1?i-1:i,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n];let h;h=a?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${u[0]/c[0]},\n ${u[1]/c[1]});\n const vec2 inputShapeRC = vec2(${i}.0, ${o}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${h};\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n ivec2 sourceCeilRC = ivec2(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n float top = topLeft + (topRight - topLeft) * fracRC.y;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n float newValue = top + (bottom - top) * fracRC.x;\n\n setOutput(newValue);\n }\n `}}class z${constructor(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];const[s,i,o,l]=e;this.outputShape=[s,t,n,l];const u=[r&&t>1?i-1:i,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n];let h;h=a?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${u[0]/c[0]},\n ${u[1]/c[1]},\n ${u[1]/c[1]});\n const vec3 inputShapeRC = vec3(${i}.0, ${o}.0,\n ${o}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${h};\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n `}}const W$={kernelName:rr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{images:a}=t,{alignCorners:s,halfPixelCenters:i,size:o}=r,[l,u]=o,c=We().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new z$(a.shape,l,u,s,i):new L$(a.shape,l,u,s,i);return n.runWebGLProgram(c,[a],"float32")}};class U${constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;const[,r,a]=t,[,s,i]=e,o=[n&&s>1?r-1:r,n&&i>1?a-1:a],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],c=o[1]/l[1],h=1/u,f=1/c,d=2*Math.ceil(h)+2,p=2*Math.ceil(f)+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${u});\n const float widthScale = float(${c});\n\n const float invHeightScale = float(${h});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${p});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${s}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${i}) {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ${r-1}.0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), ${a-1}.0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}}const V$={kernelName:ar,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{images:a,dy:s}=t,{alignCorners:i}=r,o=new U$(s.shape,a.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}};class j${constructor(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];const[s,i,o,l]=e;this.outputShape=[s,t,n,l];const u=[r&&t>1?i-1:i,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0";let f;f=a?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${u[0]/c[0]},\n ${u[1]/c[1]});\n const vec2 inputShapeRC = vec2(${i}.0, ${o}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${h})));\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n `}}class H${constructor(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];const[s,i,o,l]=e;this.outputShape=[s,t,n,l];const u=[r&&t>1?i-1:i,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0";let f;f=a?"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${u[0]/c[0]},\n ${u[1]/c[1]},\n ${u[1]/c[1]});\n const vec3 inputShapeRC = vec3(${i}.0, ${o}.0,\n ${o}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${h})));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n vec4 newValue = vec4(\n getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n setOutput(newValue);\n }\n `}}const G$={kernelName:tr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{images:a}=t,{alignCorners:s,halfPixelCenters:i,size:o}=r,[l,u]=o,c=We().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new H$(a.shape,l,u,s,i):new j$(a.shape,l,u,s,i);return n.runWebGLProgram(c,[a],a.dtype)}};class X${constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;const[,r,a]=t,[,s,i]=e,o=[n&&s>1?r-1:r,n&&i>1?a-1:a],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],c=o[1]/l[1],h=1/u,f=1/c,d=2*Math.ceil(h)+2,p=2*Math.ceil(f)+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${u});\n const float widthScale = float(${c});\n\n const float invHeightScale = float(${h});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${p});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${s}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${i}) {\n continue;\n }\n\n float sourceFracRow =\n float(${o[0]}) *\n (float(dyR) / float(${l[0]}));\n\n float sourceFracCol =\n float(${o[1]}) *\n (float(dyC) / float(${l[1]}));\n\n int sourceNearestRow = int(min(\n float(int(${r}) - 1),\n ${n} ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(${a}) - 1),\n ${n} ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}}const K$={kernelName:nr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{images:a,dy:s}=t,{alignCorners:i}=r,o=new X$(s.shape,a.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}};class q${constructor(e,t){this.variableNames=["x"];const n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,1===n)return void(this.userCode=`\n void main() {\n int coord = getOutputCoords();\n setOutput(getX(${e[0]} - coord - 1));\n }\n `);const r=e.map(((n,r)=>(n=>-1!==t.indexOf(n)&&1!==e[n]?`${e[n]} - coords[${n}] - 1`:`coords[${n}]`)(r))).join(","),a=LT(n);this.userCode=`\n void main() {\n ${a} coords = getOutputCoords();\n setOutput(getX(${r}));\n }\n `}}class Y${constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;const n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;const r=_F("rc",n),a=`${r[n-1]} + 1 < ${this.outputShape[n-1]}`,s=`${r[n-2]} + 1 < ${this.outputShape[n-2]}`,i=LT(n);function o(n){const r=e.map(((r,a)=>function(n,r){return-1!==t.indexOf(n)&&1!==e[n]?`${e[n]} - ${r[n]} - 1`:`${r[n]}`}(a,n)));return`getChannel(getX(${r.join(",")}), vec2(${r.slice(-2).join(",")}))`}this.userCode=1===n?`\n void main(){\n int rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = getChannel(getX(${e[0]} - rc - 1),\n ${e[0]} - rc - 1);\n if(${a}){\n result.g = getChannel(getX(${e[0]} - (rc + 1) - 1),\n ${e[0]} - (rc + 1) - 1);\n }\n setOutput(result);\n }\n `:`\n void main() {\n ${i} rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = ${function(e){return o(e)}(r.slice())};\n if(${a}){\n result.g = ${function(e){return e[n-1]="("+e[n-1]+" + 1)",o(e)}(r.slice())};\n }\n if(${s}) {\n result.b = ${function(e){return e[n-2]="("+e[n-2]+" + 1)",o(e)}(r.slice())};\n if(${a}) {\n result.a = ${function(e){return e[n-1]="("+e[n-1]+" + 1)",e[n-2]="("+e[n-2]+" + 1)",o(e)}(r.slice())};\n }\n }\n setOutput(result);\n }\n `}}const J$={kernelName:ir,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{dims:s}=r,i=a.shape.length,o=de(s,a.shape);if(0===i)return PF({inputs:{x:a},backend:n});const l=We().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Y$(a.shape,o):new q$(a.shape,o);return n.runWebGLProgram(l,[a],a.dtype)}};class Z${constructor(e,t){this.variableNames=["Image"],this.outputShape=[];const n=e[1],r=e[2];this.outputShape=e;let a="";a="number"==typeof t?`float outputValue = ${t.toFixed(2)};`:`\n vec3 fill = vec3(${t.join(",")});\n float outputValue = fill[coords[3]];`,this.userCode=`\n uniform vec4 params;\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n int y = coords[1];\n float coordXFloat = (float(x) - params[0]) * params[3] -\n (float(y) - params[1]) * params[2];\n float coordYFloat = (float(x) - params[0]) * params[2] +\n (float(y) - params[1]) * params[3];\n int coordX = int(round(coordXFloat + params[0]));\n int coordY = int(round(coordYFloat + params[1]));\n ${a}\n if(coordX >= 0 && coordX < ${r} && coordY >= 0 && coordY < ${n}) {\n outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n }\n setOutput(outputValue);\n }\n `}getCustomSetupFunc(e,t,n,r){return(a,s)=>{null==this.paramsLoc&&(this.paramsLoc=a.getUniformLocationNoThrow(s,"params")),a.gl.uniform4f(this.paramsLoc,e,t,n,r)}}}const Q$={kernelName:Ur,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{const{image:r}=e,{radians:a,fillValue:s,center:i}=t,o=n,l=new Z$(r.shape,s),[u,c]=Zf(i,r.shape[1],r.shape[2]),h=l.getCustomSetupFunc(u,c,Math.sin(a),Math.cos(a));return o.runWebGLProgram(l,[r],r.dtype,h)}},eP=KF({opSnippet:"\n // OpenGL ES does not support round function.\n // The algorithm is based on banker's rounding.\n float base = floor(x);\n if ((x - base) < 0.5) {\n return floor(x);\n } else if ((x - base) > 0.5) {\n return ceil(x);\n } else {\n if (mod(base, 2.0) == 0.0) {\n return base;\n } else {\n return base + 1.0;\n }\n }\n"}),tP={kernelName:or,backendName:"webgl",kernelFunc:eP},nP=KF({opSnippet:"return inversesqrt(x);",cpuKernelImpl:uF}),rP={kernelName:lr,backendName:"webgl",kernelFunc:nP};class aP{constructor(e,t,n,r,a,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;const o=LT(a.length),l=LT(s.length);let u="";1===n?u="i":2===n&&(u="i, j");const c=`getIndices(${u})`;let h="";1===r?h="i":2===r&&(h="i, coords[1]");const f=`getUpdates(${h})`,d=t>1?"strides[j]":"strides";this.userCode=`\n ${o} strides = ${o}(${a});\n\n void main() {\n ${l} coords = getOutputCoords();\n float sum = 0.0;\n bool found = false;\n for (int i = 0; i < ${e}; i++) {\n int flattenedIndex = 0;\n for (int j = 0; j < ${t}; j++) {\n int index = round(${c});\n flattenedIndex += index * ${d};\n }\n if (flattenedIndex == coords[0]) {\n sum += ${f};\n found = true;\n }\n }\n setOutput(mix(getDefaultValue(), sum, float(found)));\n }\n `}}const sP={kernelName:ur,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{indices:a,updates:s}=t,{shape:i}=r,{sliceRank:o,numUpdates:l,sliceSize:u,strides:c,outputSize:h}=Ni(0,a,i),f=[h/u,u];if(0===h)return n.makeTensorInfo(i,a.dtype);const d=nR({inputs:{x:a},backend:n,attrs:{shape:[l,o]}}),p=nR({inputs:{x:s},backend:n,attrs:{shape:[l,u]}}),m=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new aP(l,o,d.shape.length,p.shape.length,c,f),y=n.runWebGLProgram(g,[p,d,m],p.dtype),b=nR({inputs:{x:y},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(m),b}};class iP{constructor(e,t,n){let r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error(`Where for rank ${n} is not yet supported`);if(1===n)a="resRC",r="resRC";else{const n=["resRC.x","resRC.y","resRC.z","resRC.w"],s=[],i=[];for(let r=0;r= 1.0) {\n setOutput(getA(${a}));\n } else {\n setOutput(getB(${a}));\n }\n }\n `}}const oP={kernelName:cr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{condition:r,t:a,e:s}=t,i=new iP(r.shape.length,a.shape,a.shape.length);return n.runWebGLProgram(i,[r,a,s],Da(a.dtype,s.dtype))}},lP=KF({opSnippet:`\n // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n // see: https://arxiv.org/abs/1706.02515\n float scaleAlpha = ${ad};\n float scale = ${sd};\n return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`}),uP={kernelName:hr,backendName:"webgl",kernelFunc:lP},cP=KF({opSnippet:"return 1.0 / (1.0 + exp(-1.0 * x));"}),hP={kernelName:gr,backendName:"webgl",kernelFunc:cP},fP=KF({opSnippet:"\n if (isnan(x)) { return 0.0; }\n return sign(x);\n"}),dP={kernelName:mr,backendName:"webgl",kernelFunc:fP},pP=KF({opSnippet:"if (isnan(x)) return x;\n return sin(x);\n"}),mP={kernelName:dr,backendName:"webgl",kernelFunc:pP},gP=KF({opSnippet:"\n float e2x = exp(x);\n return (e2x - 1.0 / e2x) / 2.0;\n"}),yP={kernelName:pr,backendName:"webgl",kernelFunc:gP},bP=KF({opSnippet:"\n float epsilon = 1.1920928955078125e-7;\n float threshold = log(epsilon) + 2.0;\n\n bool too_large = x > -threshold;\n bool too_small = x < threshold;\n\n float result;\n float exp_x = exp(x);\n\n if (too_large){\n result = x;\n }\n else if (too_small){\n result = exp_x;\n }\n else{\n result = log(exp_x + 1.0);\n }\n return result;\n"}),vP={kernelName:yr,backendName:"webgl",kernelFunc:bP},wP={kernelName:wr,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockShape:s,paddings:i}=r;Q(a.shape.length<=4,(()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"));const o=s.reduce(((e,t)=>e*t)),l=[[0,0]];l.push(...i);for(let e=1+s.length;en.disposeIntermediateTensorInfo(e))),g}},_P={kernelName:kr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{indices:r,values:a,denseShape:s,defaultValue:i}=t;if(1!==s.shape.length)throw new Error(`Dense shape must be a vector, saw:\n ${s.shape}`);if(2!==r.shape.length)throw new Error(`Indices must be a matrix, saw:\n ${r.shape}`);if(1!==a.shape.length)throw new Error(`Values must be a vector, saw:\n ${a.shape}`);if(0!==i.shape.length)throw new Error(`Default value must be a scalar, saw:\n ${i.shape}`);const o=n.readSync(r.dataId),l=n.readSync(a.dataId),u=n.readSync(s.dataId),c=n.readSync(i.dataId)[0],[h,f,d,p,m]=fF(o,r.shape,r.dtype,l,a.dtype,u,c);return[n.makeTensorInfo(f,r.dtype,h),n.makeTensorInfo([f[0]],a.dtype,d),n.makeTensorInfo([p.length],"bool",new Uint8Array(p.map((e=>Number(e))))),n.makeTensorInfo([m.length],r.dtype,new Int32Array(m))]}},xP={kernelName:Er,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{inputIndices:r,inputShape:a,newShape:s}=t;if(2!==r.shape.length)throw new Error(`Input indices should be a matrix but received shape ${r.shape}`);if(1!==a.shape.length)throw new Error(`Input shape should be a vector but received shape ${a.shape}`);if(1!==s.shape.length)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);const i=Array.from(n.readSync(a.dataId)),o=n.readSync(r.dataId),l=Array.from(n.readSync(s.dataId)),[u,c,h]=dF(o,r.shape,r.dtype,i,l);return[n.makeTensorInfo(c,r.dtype,u),n.makeTensorInfo([h.length],s.dtype,new Int32Array(h))]}},kP={kernelName:Cr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{sparseIndices:a,sparseValues:s,defaultValue:i}=t,{outputShape:o}=r,{sliceRank:l,numUpdates:u,strides:c,outputSize:h}=Ni(0,a,o),f=new aP(u,l,a.shape.length,s.shape.length,c,[h,1],!1),d=n.runWebGLProgram(f,[s,a,i],s.dtype),p=nR({inputs:{x:d},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(d),p}},EP={kernelName:_r,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{numOrSizeSplits:s,axis:i}=r,o=de(i,a.shape)[0],l=Ad(a,s,o),u=a.shape.length,c=new Array(u).fill(0),h=a.shape.slice();return l.map((e=>{const t=[...h];t[o]=e;const r=lO({inputs:{x:a},backend:n,attrs:{begin:c,size:t}});return c[o]+=e,r}))}},CP=KF({opSnippet:"return sqrt(x);"}),SP={kernelName:br,backendName:"webgl",kernelFunc:CP},NP=KF({opSnippet:"return x * x;"}),IP={kernelName:Nr,backendName:"webgl",kernelFunc:NP},AP="return (a - b) * (a - 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OP={kernelName:Ir,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:h,shrinkAxisMask:f}=r,{nonStrided:d,$begin:p,$strides:m,size:g,newShape:y,outShape:b}=Vi(a.shape,s,i,o,l,u,c,h,f),v=nR({inputs:{x:a},backend:n,attrs:{shape:y}});let w;if(d){const e=lO({inputs:{x:v},backend:n,attrs:{begin:p,size:g}});w=nR({inputs:{x:e},backend:n,attrs:{shape:b}}),n.disposeIntermediateTensorInfo(e)}else if(b.some((e=>0===e)))w=n.makeTensorInfo(b,a.dtype,[]);else if(n.shouldExecuteOnCPU([v])){const e=n.texData.get(v.dataId).values,t=Xs(v.shape,v.dtype,e),r=pF(b,t,m,p);w=n.makeTensorInfo(b,v.dtype,r.values)}else{const e=new RP(p,m,b);w=n.runWebGLProgram(e,[v],v.dtype)}const _=nR({inputs:{x:w},backend:n,attrs:{shape:b}});return n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(w),_}},MP=KF({opSnippet:"return 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Axis of 1 must be accompanied by an array of column(s) names");var a=this,s={},i=[],o=r.map((function(e){var t=a.columns.indexOf(e);if(-1==t)throw new Error('column "'.concat(e,'" does not exist'));return t}));if(this.col_data.forEach((function(e,t){o.includes(t)||(s[a.column_names[t]]=e,i.push(a.dtypes[t]))})),!t.inplace){var l=a.columns,u=Object.keys(s),c=new DataFrame(s,{index:a.index,dtypes:i});return c.__set_col_property(c,c.col_data,u,l),c}var h=a.columns,f=Object.keys(s);this.__update_frame_in_place(null,null,s,null,i),this.__set_col_property(a,a.col_data,f,h)}else{if(!utils.__key_in_object(t,"index"))throw Error("No index label found. Axis of 0 must be accompanied by an array of index labels");r.forEach((function(t){if(!e.index.includes(t))throw new Error("".concat(t," does not exist in index"))}));var d,p,m=this.values,g=[];if("string"==typeof r[0]?(this.index.forEach((function(e,t){r.includes(e)&&g.push(t)})),d=utils.__remove_arr(m,g),p=utils.__remove_arr(this.index,g)):(d=utils.__remove_arr(m,r),p=utils.__remove_arr(this.index,r)),!t.inplace)return new DataFrame(d,{columns:this.columns,index:p});this.row_data_tensor=_tensorflow_tfjs__WEBPACK_IMPORTED_MODULE_10__.tensor(d),this.data=d,this.__set_index(p)}}},{key:"loc",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},t=["columns","rows"];utils._throw_wrong_params_error(e,t),e.type="loc";var n=(0,_indexing__WEBPACK_IMPORTED_MODULE_13__.j)(this,e),r=_babel_runtime_helpers_slicedToArray__WEBPACK_IMPORTED_MODULE_1___default()(n,3),a=r[0],s=r[1],i=r[2],o={columns:s},l=new DataFrame(a,o);return l.__set_index(i),l}},{key:"iloc",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},t=["columns","rows"];utils._throw_wrong_params_error(e,t),e.type="iloc";var n=(0,_indexing__WEBPACK_IMPORTED_MODULE_13__.j)(this,e),r=_babel_runtime_helpers_slicedToArray__WEBPACK_IMPORTED_MODULE_1___default()(n,3),a=r[0],s=r[1],i=r[2],o={columns:s},l=new DataFrame(a,o);return l.__set_index(i),l}},{key:"head",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:5;if(e>this.values.length||e<1)return this;var t=this.values.slice(0,e),n=this.index.slice(0,e),r={columns:this.column_names,index:n},a=new DataFrame(t,r);return a}},{key:"tail",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:5,t=this.values.length;if(e>t||e<1)return this;var n=this.values.slice(t-e),r=this.index.slice(t-e),a={columns:this.column_names,index:r},s=new DataFrame(n,a);return s}},{key:"sample",value:(_sample=_babel_runtime_helpers_asyncToGenerator__WEBPACK_IMPORTED_MODULE_3___default()(_babel_runtime_regenerator__WEBPACK_IMPORTED_MODULE_2___default().mark((function e(){var t,n,r,a,s=arguments;return _babel_runtime_regenerator__WEBPACK_IMPORTED_MODULE_2___default().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=s.length>0&&void 0!==s[0]?s[0]:-1,n=s.length>1&&void 0!==s[1]?s[1]:1,!(t>this.shape[0])){e.next=4;break}throw new Error("Sample size n cannot be bigger than size of dataset");case 4:if(!(t<-1||0==t)){e.next=6;break}throw new Error("Sample size cannot be less than -1 or 0");case 6:return t=-1===t?this.shape[0]:t,e.next=9,_tensorflow_tfjs__WEBPACK_IMPORTED_MODULE_10__.data.array(this.index).shuffle(t,n).take(t).toArray();case 9:return r=e.sent,a=this.iloc({rows:r}),e.abrupt("return",a);case 12:case"end":return e.stop()}}),e,this)}))),function(){return 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Error("TypeError: Dtypes of columns must be Float of Int")}},{key:"pow",value:function(e,t){if(this.__frame_is_compactible_for_operation){var n=this.__get_ops_tensors([this,e],t),r=n[0].pow(n[1]),a=this.columns;return this.__get_df_from_tensor(r,a)}throw Error("TypeError: Dtypes of columns must be Float of Int")}},{key:"mod",value:function(e,t){if(this.__frame_is_compactible_for_operation){var n=this.__get_ops_tensors([this,e],t),r=n[0].mod(n[1]),a=this.columns;return this.__get_df_from_tensor(r,a)}throw Error("TypeError: Dtypes of columns must be Float of Int")}},{key:"mean",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:1;if(this.__frame_is_compactible_for_operation()){var t,n=[];(1==e?this.col_data:this.values).map((function(e){var t=utils._remove_nans(e),r=_tensorflow_tfjs__WEBPACK_IMPORTED_MODULE_10__.tensor(t).mean().arraySync();n.push(Number(r.toFixed(5)))})),t=1==e?this.column_names:this.index;var r=new _series__WEBPACK_IMPORTED_MODULE_12__.F(n,{columns:"sum",index:t});return r}throw Error("Dtype Error: Operation can not be performed on string type")}},{key:"median",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:1;if(this.__frame_is_compactible_for_operation){var t,n;1==e?(t=this.col_data_tensor.arraySync(),n=this.column_names):(t=this.row_data_tensor.arraySync(),n=this.index);var r=utils.__median(t,!1),a=new _series__WEBPACK_IMPORTED_MODULE_12__.F(r,{index:n});return a}throw Error("TypeError: Dtypes of columns must be Float of Int")}},{key:"min",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:1;if(this.__frame_is_compactible_for_operation){var t=this.__get_tensor_and_idx(this,e),n=t[0],r=t[1],a=n.min(t[2]),s=new _series__WEBPACK_IMPORTED_MODULE_12__.F(a.arraySync(),{index:r});return s}throw Error("TypeError: Dtypes of columns must be Float of Int")}},{key:"max",value:function(){var e=arguments.length>0&&void 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0!==arguments[0]?arguments[0]:0,t=arguments.length>1?arguments[1]:void 0;if(0!=e&&1!=e)throw new Error("axis must be between 0 or 1");if(this.__frame_is_compactible_for_operation){var n=[],r=null;r=0==e?this.col_data:this.values;for(var a=0;ai?(i=u,o.push(u)):o.push(i);break;case"min":u0&&void 0!==arguments[0]?arguments[0]:{};e=utils.__key_in_object(t,"axis")?t.axis:0;var n=this.__cum_ops(e,"sum");return n}},{key:"cummin",value:function(){var e,t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};e=utils.__key_in_object(t,"axis")?t.axis:0;var n=this.__cum_ops(e,"min");return n}},{key:"cummax",value:function(){var e,t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};e=utils.__key_in_object(t,"axis")?t.axis:0;var n=this.__cum_ops(e,"max");return n}},{key:"cumprod",value:function(){var e,t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};e=utils.__key_in_object(t,"axis")?t.axis:0;var n=this.__cum_ops(e,"prod");return n}},{key:"copy",value:function(){return new DataFrame(_babel_runtime_helpers_toConsumableArray__WEBPACK_IMPORTED_MODULE_0___default()(this.values),{columns:_babel_runtime_helpers_toConsumableArray__WEBPACK_IMPORTED_MODULE_0___default()(this.column_names),index:this.index,dtypes:this.dtypes})}},{key:"reset_index",value:function(){var e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];if(!e){var t=this.copy();return t.__reset_index(),t}this.__reset_index()}},{key:"set_index",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},t=["key","drop","inplace"];if(utils._throw_wrong_params_error(e,t),!utils.__key_in_object(e,"key"))throw Error("Index ValueError: You must specify an array of index");if(utils.__key_in_object(e,"inplace")||(e.inplace=!1),utils.__key_in_object(e,"drop")||(e.drop=!0),Array.isArray(e.key)&&e.key.length!=this.index.length)throw Error("Index LengthError: Lenght of new Index array ".concat(e.key.length," must match lenght of existing index 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1==t?(n=e.row_data_tensor,r=e.column_names,a=0):(n=e.row_data_tensor,r=e.index,a=1),[n,r,a]}},{key:"query",value:function query(kwargs){var operators=[">","<","<=",">=","==","!="],column_index,operator,value;if(utils.__key_in_object(kwargs,"inplace")||(kwargs.inplace=!1),!utils.__key_in_object(kwargs,"column"))throw new Error("specify the column");if(!this.columns.includes(kwargs.column))throw new Error("column ".concat(kwargs.column," does not exist"));if(column_index=this.columns.indexOf(kwargs.column),!utils.__key_in_object(kwargs,"is"))throw new Error("specify an operator in param [is]");if(!operators.includes(kwargs.is))throw new Error(" ".concat(kwargs.is," is not a supported logical operator"));if(operator=kwargs.is,!utils.__key_in_object(kwargs,"to"))throw new Error("specify a value in param [to]");value=kwargs.to;for(var data=this.values,index=this.index,new_data=[],new_index=[],i=0;i0&&void 0!==arguments[0]?arguments[0]:{},n=["columns","values","inplace"];if(utils._throw_wrong_params_error(t,n),utils.__key_in_object(t,"inplace")||(t.inplace=!1),utils.__key_in_object(t,"columns")){if(t.columns.map((function(t){if(!e.column_names.includes(t))throw Error("Value Error: Specified columns must be one of ".concat(e.column_names,", got ").concat(t))})),t.columns.length!=t.values.length)throw Error("Lenght Error: The lenght of the columns names must be equal to the lenght of the values,\n got column of length ".concat(t.columns.length," but values of length ").concat(t.values.length));var r=this.col_data;t.columns.map((function(n,a){var s=e.column_names.indexOf(n),i=e.col_data[s],o=[];i.map((function(e){isNaN(e)&&"string"!=typeof e?o.push(t.values[a]):o.push(e)})),r[s]=o}));var a={};if(r.map((function(t,n){a[e.column_names[n]]=t})),!t.inplace)return new DataFrame(a,{index:this.index});this.__update_frame_in_place(null,null,a,null,null)}else{if(!utils.__key_in_object(t,"values"))throw Error("Value Error: Please specify a fill value");var s;s=Array.isArray(t.values)?t.values[0]:t.values;for(var i=[],o=this.values,l=this.columns,u=0;u0&&void 0!==arguments[0]?arguments[0]:{},t=e.axis||0,n=e.inplace||!1;if(0!=t&&1!=t)throw new Error("axis must either be 1 or 0");var r=null,a=null;0==t?(r=this.values,a=this.columns):(r=this.col_data,a=[]);for(var s=[],i=0;i0&&void 0!==arguments[0]?arguments[0]:{},n=["replace","with","in"];if(utils._throw_wrong_params_error(t,n),utils.__key_in_object(t,"in")){if(t.in.map((function(t){if(!e.column_names.includes(t))throw Error("Value Error: Specified columns must be one of ".concat(e.column_names,", got ").concat(t))})),utils.__key_in_object(t,"replace")&&utils.__key_in_object(t,"with")){var r={};return this.column_names.map((function(n,a){if(t.in.includes(n)){var s=e.col_data[a],i=[];s.map((function(e){e==t.replace?i.push(t.with):i.push(e)})),r[n]=i}else r[n]=e.col_data[a]})),new DataFrame(r,{columns:this.column_names,index:this.index})}throw Error("Params Error: Must specify both 'replace' and 'with' parameters.")}if(utils.__key_in_object(t,"replace")&&utils.__key_in_object(t,"with")){var a=[],s=this.values;s.map((function(e){var n=[];e.map((function(e){e==t.replace?n.push(t.with):n.push(e)})),a.push(n)}));var i=new DataFrame(a,{index:this.index,columns:this.column_names});return i}throw Error("Params Error: Must specify both 'replace' and 'with' parameters.")}},{key:"__logical_ops",value:function(e,t,n){var r,a;if(utils.__is_number(e))a=e;else if(e.series)if(0==n){if(e.values.length!=this.shape[0])throw Error("Shape Error: Operands could not be broadcast together with shapes ".concat(this.shape," and ").concat(e.values.length,"."));a=_tensorflow_tfjs__WEBPACK_IMPORTED_MODULE_10__.tensor(e.values)}else{if(e.values.length!=this.shape[1])throw 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DataFrame(utils.__map_int_to_bool(r,2),{columns:this.column_names,index:this.index})}},{key:"__get_df_from_tensor",value:function(e,t){for(var n=e.shape[0],r=[],a=0;a0&&void 0!==arguments[0]?arguments[0]:{};if(!utils.__key_in_object(e,"column"))throw Error("Value Error: Please specify a column to cast");if(!utils.__key_in_object(e,"dtype"))throw Error("Value Error: Please specify dtype to cast to");if(!this.column_names.includes(e.column))throw Error("'".concat(e.column,"' not found in columns"));var t=this.column_names.indexOf(e.column),n=this.col_types,r=this.col_data;n[t]=e.dtype;var a=[],s=r[t];switch(e.dtype){case"float32":s.map((function(e){a.push(Number(e))})),r[t]=a;break;case"int32":s.map((function(e){a.push(Number(Number(e).toFixed()))})),r[t]=a;break;case"string":s.map((function(e){a.push(String(e))})),r[t]=a}var i={};this.column_names.forEach((function(e,t){i[e]=r[t]}));var o=new DataFrame(i,{dtypes:n,index:this.index});return o}},{key:"unique",value:function(){var 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e.left.right=e.right,e.right.left=e.left,a=e===e.right?null:function(e,a){var s,i=Math.floor(Math.log(a)*r)+1,l=new Array(i),u=0,c=e;if(c)for(u++,c=c.right;c!==e;)u++,c=c.right;for(;u>0;){for(var h=c.degree,f=c.right;s=l[h];){if(n(c.key,s.key)){var d=s;s=c,c=d}o(s,c),l[h]=null,h++}l[h]=c,c=f,u--}e=null;for(var p=0;pm?d++:p===m&&(u=c(u,h(s[f],l[d])),f++,d++)}return u}});function o(e,t){var n,r,a=l(e),s=l(t);if(1===a.length)n=a[0];else{if(2!==a.length||1!==a[1])throw new RangeError("Expected a column vector, instead got a matrix of size ("+a.join(", ")+")");n=a[0]}if(1===s.length)r=s[0];else{if(2!==s.length||1!==s[1])throw new RangeError("Expected a column vector, instead got a matrix of size ("+s.join(", ")+")");r=s[0]}if(n!==r)throw new RangeError("Vectors must have equal length ("+n+" != "+r+")");if(0===n)throw new RangeError("Cannot calculate the dot product of empty vectors");return n}function 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0+e]=r[245][e]);for(r[246]="����������������������������������������������������������������鯜鯝鯞鯟鯠鯡鯢鯣鯤鯥鯦鯧鯨鯩鯪鯫鯬鯭鯮鯯鯰鯱鯲鯳鯴鯵鯶鯷鯸鯹鯺鯻鯼鯽鯾鯿鰀鰁鰂鰃鰄鰅鰆鰇鰈鰉鰊鰋鰌鰍鰎鰏鰐鰑鰒鰓鰔鰕鰖鰗鰘鰙鰚�鰛鰜鰝鰞鰟鰠鰡鰢鰣鰤鰥鰦鰧鰨鰩鰪鰫鰬鰭鰮鰯鰰鰱鰲鰳鰴鰵鰶鰷鰸鰹鰺鰻觥觫觯訾謦靓雩雳雯霆霁霈霏霎霪霭霰霾龀龃龅龆龇龈龉龊龌黾鼋鼍隹隼隽雎雒瞿雠銎銮鋈錾鍪鏊鎏鐾鑫鱿鲂鲅鲆鲇鲈稣鲋鲎鲐鲑鲒鲔鲕鲚鲛鲞鲟鲠鲡鲢鲣鲥鲦鲧鲨鲩鲫鲭鲮鲰鲱鲲鲳鲴鲵鲶鲷鲺鲻鲼鲽鳄鳅鳆鳇鳊鳋�".split(""),e=0;e!=r[246].length;++e)65533!==r[246][e].charCodeAt(0)&&(n[r[246][e]]=62976+e,t[62976+e]=r[246][e]);for(r[247]="����������������������������������������������������������������鰼鰽鰾鰿鱀鱁鱂鱃鱄鱅鱆鱇鱈鱉鱊鱋鱌鱍鱎鱏鱐鱑鱒鱓鱔鱕鱖鱗鱘鱙鱚鱛鱜鱝鱞鱟鱠鱡鱢鱣鱤鱥鱦鱧鱨鱩鱪鱫鱬鱭鱮鱯鱰鱱鱲鱳鱴鱵鱶鱷鱸鱹鱺�鱻鱽鱾鲀鲃鲄鲉鲊鲌鲏鲓鲖鲗鲘鲙鲝鲪鲬鲯鲹鲾鲿鳀鳁鳂鳈鳉鳑鳒鳚鳛鳠鳡鳌鳍鳎鳏鳐鳓鳔鳕鳗鳘鳙鳜鳝鳟鳢靼鞅鞑鞒鞔鞯鞫鞣鞲鞴骱骰骷鹘骶骺骼髁髀髅髂髋髌髑魅魃魇魉魈魍魑飨餍餮饕饔髟髡髦髯髫髻髭髹鬈鬏鬓鬟鬣麽麾縻麂麇麈麋麒鏖麝麟黛黜黝黠黟黢黩黧黥黪黯鼢鼬鼯鼹鼷鼽鼾齄�".split(""),e=0;e!=r[247].length;++e)65533!==r[247][e].charCodeAt(0)&&(n[r[247][e]]=63232+e,t[63232+e]=r[247][e]);for(r[248]="����������������������������������������������������������������鳣鳤鳥鳦鳧鳨鳩鳪鳫鳬鳭鳮鳯鳰鳱鳲鳳鳴鳵鳶鳷鳸鳹鳺鳻鳼鳽鳾鳿鴀鴁鴂鴃鴄鴅鴆鴇鴈鴉鴊鴋鴌鴍鴎鴏鴐鴑鴒鴓鴔鴕鴖鴗鴘鴙鴚鴛鴜鴝鴞鴟鴠鴡�鴢鴣鴤鴥鴦鴧鴨鴩鴪鴫鴬鴭鴮鴯鴰鴱鴲鴳鴴鴵鴶鴷鴸鴹鴺鴻鴼鴽鴾鴿鵀鵁鵂�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[248].length;++e)65533!==r[248][e].charCodeAt(0)&&(n[r[248][e]]=63488+e,t[63488+e]=r[248][e]);for(r[249]="����������������������������������������������������������������鵃鵄鵅鵆鵇鵈鵉鵊鵋鵌鵍鵎鵏鵐鵑鵒鵓鵔鵕鵖鵗鵘鵙鵚鵛鵜鵝鵞鵟鵠鵡鵢鵣鵤鵥鵦鵧鵨鵩鵪鵫鵬鵭鵮鵯鵰鵱鵲鵳鵴鵵鵶鵷鵸鵹鵺鵻鵼鵽鵾鵿鶀鶁�鶂鶃鶄鶅鶆鶇鶈鶉鶊鶋鶌鶍鶎鶏鶐鶑鶒鶓鶔鶕鶖鶗鶘鶙鶚鶛鶜鶝鶞鶟鶠鶡鶢�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[249].length;++e)65533!==r[249][e].charCodeAt(0)&&(n[r[249][e]]=63744+e,t[63744+e]=r[249][e]);for(r[250]="����������������������������������������������������������������鶣鶤鶥鶦鶧鶨鶩鶪鶫鶬鶭鶮鶯鶰鶱鶲鶳鶴鶵鶶鶷鶸鶹鶺鶻鶼鶽鶾鶿鷀鷁鷂鷃鷄鷅鷆鷇鷈鷉鷊鷋鷌鷍鷎鷏鷐鷑鷒鷓鷔鷕鷖鷗鷘鷙鷚鷛鷜鷝鷞鷟鷠鷡�鷢鷣鷤鷥鷦鷧鷨鷩鷪鷫鷬鷭鷮鷯鷰鷱鷲鷳鷴鷵鷶鷷鷸鷹鷺鷻鷼鷽鷾鷿鸀鸁鸂�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[250].length;++e)65533!==r[250][e].charCodeAt(0)&&(n[r[250][e]]=64e3+e,t[64e3+e]=r[250][e]);for(r[251]="����������������������������������������������������������������鸃鸄鸅鸆鸇鸈鸉鸊鸋鸌鸍鸎鸏鸐鸑鸒鸓鸔鸕鸖鸗鸘鸙鸚鸛鸜鸝鸞鸤鸧鸮鸰鸴鸻鸼鹀鹍鹐鹒鹓鹔鹖鹙鹝鹟鹠鹡鹢鹥鹮鹯鹲鹴鹵鹶鹷鹸鹹鹺鹻鹼鹽麀�麁麃麄麅麆麉麊麌麍麎麏麐麑麔麕麖麗麘麙麚麛麜麞麠麡麢麣麤麥麧麨麩麪�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[251].length;++e)65533!==r[251][e].charCodeAt(0)&&(n[r[251][e]]=64256+e,t[64256+e]=r[251][e]);for(r[252]="����������������������������������������������������������������麫麬麭麮麯麰麱麲麳麵麶麷麹麺麼麿黀黁黂黃黅黆黇黈黊黋黌黐黒黓黕黖黗黙黚點黡黣黤黦黨黫黬黭黮黰黱黲黳黴黵黶黷黸黺黽黿鼀鼁鼂鼃鼄鼅�鼆鼇鼈鼉鼊鼌鼏鼑鼒鼔鼕鼖鼘鼚鼛鼜鼝鼞鼟鼡鼣鼤鼥鼦鼧鼨鼩鼪鼫鼭鼮鼰鼱�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[252].length;++e)65533!==r[252][e].charCodeAt(0)&&(n[r[252][e]]=64512+e,t[64512+e]=r[252][e]);for(r[253]="����������������������������������������������������������������鼲鼳鼴鼵鼶鼸鼺鼼鼿齀齁齂齃齅齆齇齈齉齊齋齌齍齎齏齒齓齔齕齖齗齘齙齚齛齜齝齞齟齠齡齢齣齤齥齦齧齨齩齪齫齬齭齮齯齰齱齲齳齴齵齶齷齸�齹齺齻齼齽齾龁龂龍龎龏龐龑龒龓龔龕龖龗龘龜龝龞龡龢龣龤龥郎凉秊裏隣�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[253].length;++e)65533!==r[253][e].charCodeAt(0)&&(n[r[253][e]]=64768+e,t[64768+e]=r[253][e]);for(r[254]="����������������������������������������������������������������兀嗀﨎﨏﨑﨓﨔礼﨟蘒﨡﨣﨤﨧﨨﨩��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������".split(""),e=0;e!=r[254].length;++e)65533!==r[254][e].charCodeAt(0)&&(n[r[254][e]]=65024+e,t[65024+e]=r[254][e]);return{enc:n,dec:t}}(),t[949]=function(){var e,t=[],n={},r=[];for(r[0]="\0\b\t\n\v\f\r !\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~��������������������������������������������������������������������������������������������������������������������������������".split(""),e=0;e!=r[0].length;++e)65533!==r[0][e].charCodeAt(0)&&(n[r[0][e]]=0+e,t[0+e]=r[0][e]);for(r[129]="�����������������������������������������������������������������갂갃갅갆갋갌갍갎갏갘갞갟갡갢갣갥갦갧갨갩갪갫갮갲갳갴������갵갶갷갺갻갽갾갿걁걂걃걄걅걆걇걈걉걊걌걎걏걐걑걒걓걕������걖걗걙걚걛걝걞걟걠걡걢걣걤걥걦걧걨걩걪걫걬걭걮걯걲걳걵걶걹걻걼걽걾걿겂겇겈겍겎겏겑겒겓겕겖겗겘겙겚겛겞겢겣겤겥겦겧겫겭겮겱겲겳겴겵겶겷겺겾겿곀곂곃곅곆곇곉곊곋곍곎곏곐곑곒곓곔곖곘곙곚곛곜곝곞곟곢곣곥곦곩곫곭곮곲곴곷곸곹곺곻곾곿괁괂괃괅괇괈괉괊괋괎괐괒괓�".split(""),e=0;e!=r[129].length;++e)65533!==r[129][e].charCodeAt(0)&&(n[r[129][e]]=33024+e,t[33024+e]=r[129][e]);for(r[130]="�����������������������������������������������������������������괔괕괖괗괙괚괛괝괞괟괡괢괣괤괥괦괧괨괪괫괮괯괰괱괲괳������괶괷괹괺괻괽괾괿굀굁굂굃굆굈굊굋굌굍굎굏굑굒굓굕굖굗������굙굚굛굜굝굞굟굠굢굤굥굦굧굨굩굪굫굮굯굱굲굷굸굹굺굾궀궃궄궅궆궇궊궋궍궎궏궑궒궓궔궕궖궗궘궙궚궛궞궟궠궡궢궣궥궦궧궨궩궪궫궬궭궮궯궰궱궲궳궴궵궶궸궹궺궻궼궽궾궿귂귃귅귆귇귉귊귋귌귍귎귏귒귔귕귖귗귘귙귚귛귝귞귟귡귢귣귥귦귧귨귩귪귫귬귭귮귯귰귱귲귳귴귵귶귷�".split(""),e=0;e!=r[130].length;++e)65533!==r[130][e].charCodeAt(0)&&(n[r[130][e]]=33280+e,t[33280+e]=r[130][e]);for(r[131]="�����������������������������������������������������������������귺귻귽귾긂긃긄긅긆긇긊긌긎긏긐긑긒긓긕긖긗긘긙긚긛긜������긝긞긟긠긡긢긣긤긥긦긧긨긩긪긫긬긭긮긯긲긳긵긶긹긻긼������긽긾긿깂깄깇깈깉깋깏깑깒깓깕깗깘깙깚깛깞깢깣깤깦깧깪깫깭깮깯깱깲깳깴깵깶깷깺깾깿꺀꺁꺂꺃꺆꺇꺈꺉꺊꺋꺍꺎꺏꺐꺑꺒꺓꺔꺕꺖꺗꺘꺙꺚꺛꺜꺝꺞꺟꺠꺡꺢꺣꺤꺥꺦꺧꺨꺩꺪꺫꺬꺭꺮꺯꺰꺱꺲꺳꺴꺵꺶꺷꺸꺹꺺꺻꺿껁껂껃껅껆껇껈껉껊껋껎껒껓껔껕껖껗껚껛껝껞껟껠껡껢껣껤껥�".split(""),e=0;e!=r[131].length;++e)65533!==r[131][e].charCodeAt(0)&&(n[r[131][e]]=33536+e,t[33536+e]=r[131][e]);for(r[132]="�����������������������������������������������������������������껦껧껩껪껬껮껯껰껱껲껳껵껶껷껹껺껻껽껾껿꼀꼁꼂꼃꼄꼅������꼆꼉꼊꼋꼌꼎꼏꼑꼒꼓꼔꼕꼖꼗꼘꼙꼚꼛꼜꼝꼞꼟꼠꼡꼢꼣������꼤꼥꼦꼧꼨꼩꼪꼫꼮꼯꼱꼳꼵꼶꼷꼸꼹꼺꼻꼾꽀꽄꽅꽆꽇꽊꽋꽌꽍꽎꽏꽑꽒꽓꽔꽕꽖꽗꽘꽙꽚꽛꽞꽟꽠꽡꽢꽣꽦꽧꽨꽩꽪꽫꽬꽭꽮꽯꽰꽱꽲꽳꽴꽵꽶꽷꽸꽺꽻꽼꽽꽾꽿꾁꾂꾃꾅꾆꾇꾉꾊꾋꾌꾍꾎꾏꾒꾓꾔꾖꾗꾘꾙꾚꾛꾝꾞꾟꾠꾡꾢꾣꾤꾥꾦꾧꾨꾩꾪꾫꾬꾭꾮꾯꾰꾱꾲꾳꾴꾵꾶꾷꾺꾻꾽꾾�".split(""),e=0;e!=r[132].length;++e)65533!==r[132][e].charCodeAt(0)&&(n[r[132][e]]=33792+e,t[33792+e]=r[132][e]);for(r[133]="�����������������������������������������������������������������꾿꿁꿂꿃꿄꿅꿆꿊꿌꿏꿐꿑꿒꿓꿕꿖꿗꿘꿙꿚꿛꿝꿞꿟꿠꿡������꿢꿣꿤꿥꿦꿧꿪꿫꿬꿭꿮꿯꿲꿳꿵꿶꿷꿹꿺꿻꿼꿽꿾꿿뀂뀃������뀅뀆뀇뀈뀉뀊뀋뀍뀎뀏뀑뀒뀓뀕뀖뀗뀘뀙뀚뀛뀞뀟뀠뀡뀢뀣뀤뀥뀦뀧뀩뀪뀫뀬뀭뀮뀯뀰뀱뀲뀳뀴뀵뀶뀷뀸뀹뀺뀻뀼뀽뀾뀿끀끁끂끃끆끇끉끋끍끏끐끑끒끖끘끚끛끜끞끟끠끡끢끣끤끥끦끧끨끩끪끫끬끭끮끯끰끱끲끳끴끵끶끷끸끹끺끻끾끿낁낂낃낅낆낇낈낉낊낋낎낐낒낓낔낕낖낗낛낝낞낣낤�".split(""),e=0;e!=r[133].length;++e)65533!==r[133][e].charCodeAt(0)&&(n[r[133][e]]=34048+e,t[34048+e]=r[133][e]);for(r[134]="�����������������������������������������������������������������낥낦낧낪낰낲낶낷낹낺낻낽낾낿냀냁냂냃냆냊냋냌냍냎냏냒������냓냕냖냗냙냚냛냜냝냞냟냡냢냣냤냦냧냨냩냪냫냬냭냮냯냰������냱냲냳냴냵냶냷냸냹냺냻냼냽냾냿넀넁넂넃넄넅넆넇넊넍넎넏넑넔넕넖넗넚넞넟넠넡넢넦넧넩넪넫넭넮넯넰넱넲넳넶넺넻넼넽넾넿녂녃녅녆녇녉녊녋녌녍녎녏녒녓녖녗녙녚녛녝녞녟녡녢녣녤녥녦녧녨녩녪녫녬녭녮녯녰녱녲녳녴녵녶녷녺녻녽녾녿놁놃놄놅놆놇놊놌놎놏놐놑놕놖놗놙놚놛놝�".split(""),e=0;e!=r[134].length;++e)65533!==r[134][e].charCodeAt(0)&&(n[r[134][e]]=34304+e,t[34304+e]=r[134][e]);for(r[135]="�����������������������������������������������������������������놞놟놠놡놢놣놤놥놦놧놩놪놫놬놭놮놯놰놱놲놳놴놵놶놷놸������놹놺놻놼놽놾놿뇀뇁뇂뇃뇄뇅뇆뇇뇈뇉뇊뇋뇍뇎뇏뇑뇒뇓뇕������뇖뇗뇘뇙뇚뇛뇞뇠뇡뇢뇣뇤뇥뇦뇧뇪뇫뇭뇮뇯뇱뇲뇳뇴뇵뇶뇷뇸뇺뇼뇾뇿눀눁눂눃눆눇눉눊눍눎눏눐눑눒눓눖눘눚눛눜눝눞눟눡눢눣눤눥눦눧눨눩눪눫눬눭눮눯눰눱눲눳눵눶눷눸눹눺눻눽눾눿뉀뉁뉂뉃뉄뉅뉆뉇뉈뉉뉊뉋뉌뉍뉎뉏뉐뉑뉒뉓뉔뉕뉖뉗뉙뉚뉛뉝뉞뉟뉡뉢뉣뉤뉥뉦뉧뉪뉫뉬뉭뉮�".split(""),e=0;e!=r[135].length;++e)65533!==r[135][e].charCodeAt(0)&&(n[r[135][e]]=34560+e,t[34560+e]=r[135][e]);for(r[136]="�����������������������������������������������������������������뉯뉰뉱뉲뉳뉶뉷뉸뉹뉺뉻뉽뉾뉿늀늁늂늃늆늇늈늊늋늌늍늎������늏늒늓늕늖늗늛늜늝늞늟늢늤늧늨늩늫늭늮늯늱늲늳늵늶늷������늸늹늺늻늼늽늾늿닀닁닂닃닄닅닆닇닊닋닍닎닏닑닓닔닕닖닗닚닜닞닟닠닡닣닧닩닪닰닱닲닶닼닽닾댂댃댅댆댇댉댊댋댌댍댎댏댒댖댗댘댙댚댛댝댞댟댠댡댢댣댤댥댦댧댨댩댪댫댬댭댮댯댰댱댲댳댴댵댶댷댸댹댺댻댼댽댾댿덀덁덂덃덄덅덆덇덈덉덊덋덌덍덎덏덐덑덒덓덗덙덚덝덠덡덢덣�".split(""),e=0;e!=r[136].length;++e)65533!==r[136][e].charCodeAt(0)&&(n[r[136][e]]=34816+e,t[34816+e]=r[136][e]);for(r[137]="�����������������������������������������������������������������덦덨덪덬덭덯덲덳덵덶덷덹덺덻덼덽덾덿뎂뎆뎇뎈뎉뎊뎋뎍������뎎뎏뎑뎒뎓뎕뎖뎗뎘뎙뎚뎛뎜뎝뎞뎟뎢뎣뎤뎥뎦뎧뎩뎪뎫뎭������뎮뎯뎰뎱뎲뎳뎴뎵뎶뎷뎸뎹뎺뎻뎼뎽뎾뎿돀돁돂돃돆돇돉돊돍돏돑돒돓돖돘돚돜돞돟돡돢돣돥돦돧돩돪돫돬돭돮돯돰돱돲돳돴돵돶돷돸돹돺돻돽돾돿됀됁됂됃됄됅됆됇됈됉됊됋됌됍됎됏됑됒됓됔됕됖됗됙됚됛됝됞됟됡됢됣됤됥됦됧됪됬됭됮됯됰됱됲됳됵됶됷됸됹됺됻됼됽됾됿둀둁둂둃둄�".split(""),e=0;e!=r[137].length;++e)65533!==r[137][e].charCodeAt(0)&&(n[r[137][e]]=35072+e,t[35072+e]=r[137][e]);for(r[138]="�����������������������������������������������������������������둅둆둇둈둉둊둋둌둍둎둏둒둓둕둖둗둙둚둛둜둝둞둟둢둤둦������둧둨둩둪둫둭둮둯둰둱둲둳둴둵둶둷둸둹둺둻둼둽둾둿뒁뒂������뒃뒄뒅뒆뒇뒉뒊뒋뒌뒍뒎뒏뒐뒑뒒뒓뒔뒕뒖뒗뒘뒙뒚뒛뒜뒞뒟뒠뒡뒢뒣뒥뒦뒧뒩뒪뒫뒭뒮뒯뒰뒱뒲뒳뒴뒶뒸뒺뒻뒼뒽뒾뒿듁듂듃듅듆듇듉듊듋듌듍듎듏듑듒듓듔듖듗듘듙듚듛듞듟듡듢듥듧듨듩듪듫듮듰듲듳듴듵듶듷듹듺듻듼듽듾듿딀딁딂딃딄딅딆딇딈딉딊딋딌딍딎딏딐딑딒딓딖딗딙딚딝�".split(""),e=0;e!=r[138].length;++e)65533!==r[138][e].charCodeAt(0)&&(n[r[138][e]]=35328+e,t[35328+e]=r[138][e]);for(r[139]="�����������������������������������������������������������������딞딟딠딡딢딣딦딫딬딭딮딯딲딳딵딶딷딹딺딻딼딽딾딿땂땆������땇땈땉땊땎땏땑땒땓땕땖땗땘땙땚땛땞땢땣땤땥땦땧땨땩땪������땫땬땭땮땯땰땱땲땳땴땵땶땷땸땹땺땻땼땽땾땿떀떁떂떃떄떅떆떇떈떉떊떋떌떍떎떏떐떑떒떓떔떕떖떗떘떙떚떛떜떝떞떟떢떣떥떦떧떩떬떭떮떯떲떶떷떸떹떺떾떿뗁뗂뗃뗅뗆뗇뗈뗉뗊뗋뗎뗒뗓뗔뗕뗖뗗뗙뗚뗛뗜뗝뗞뗟뗠뗡뗢뗣뗤뗥뗦뗧뗨뗩뗪뗫뗭뗮뗯뗰뗱뗲뗳뗴뗵뗶뗷뗸뗹뗺뗻뗼뗽뗾뗿�".split(""),e=0;e!=r[139].length;++e)65533!==r[139][e].charCodeAt(0)&&(n[r[139][e]]=35584+e,t[35584+e]=r[139][e]);for(r[140]="�����������������������������������������������������������������똀똁똂똃똄똅똆똇똈똉똊똋똌똍똎똏똒똓똕똖똗똙똚똛똜똝������똞똟똠똡똢똣똤똦똧똨똩똪똫똭똮똯똰똱똲똳똵똶똷똸똹똺������똻똼똽똾똿뙀뙁뙂뙃뙄뙅뙆뙇뙉뙊뙋뙌뙍뙎뙏뙐뙑뙒뙓뙔뙕뙖뙗뙘뙙뙚뙛뙜뙝뙞뙟뙠뙡뙢뙣뙥뙦뙧뙩뙪뙫뙬뙭뙮뙯뙰뙱뙲뙳뙴뙵뙶뙷뙸뙹뙺뙻뙼뙽뙾뙿뚀뚁뚂뚃뚄뚅뚆뚇뚈뚉뚊뚋뚌뚍뚎뚏뚐뚑뚒뚓뚔뚕뚖뚗뚘뚙뚚뚛뚞뚟뚡뚢뚣뚥뚦뚧뚨뚩뚪뚭뚮뚯뚰뚲뚳뚴뚵뚶뚷뚸뚹뚺뚻뚼뚽뚾뚿뛀뛁뛂�".split(""),e=0;e!=r[140].length;++e)65533!==r[140][e].charCodeAt(0)&&(n[r[140][e]]=35840+e,t[35840+e]=r[140][e]);for(r[141]="�����������������������������������������������������������������뛃뛄뛅뛆뛇뛈뛉뛊뛋뛌뛍뛎뛏뛐뛑뛒뛓뛕뛖뛗뛘뛙뛚뛛뛜뛝������뛞뛟뛠뛡뛢뛣뛤뛥뛦뛧뛨뛩뛪뛫뛬뛭뛮뛯뛱뛲뛳뛵뛶뛷뛹뛺������뛻뛼뛽뛾뛿뜂뜃뜄뜆뜇뜈뜉뜊뜋뜌뜍뜎뜏뜐뜑뜒뜓뜔뜕뜖뜗뜘뜙뜚뜛뜜뜝뜞뜟뜠뜡뜢뜣뜤뜥뜦뜧뜪뜫뜭뜮뜱뜲뜳뜴뜵뜶뜷뜺뜼뜽뜾뜿띀띁띂띃띅띆띇띉띊띋띍띎띏띐띑띒띓띖띗띘띙띚띛띜띝띞띟띡띢띣띥띦띧띩띪띫띬띭띮띯띲띴띶띷띸띹띺띻띾띿랁랂랃랅랆랇랈랉랊랋랎랓랔랕랚랛랝랞�".split(""),e=0;e!=r[141].length;++e)65533!==r[141][e].charCodeAt(0)&&(n[r[141][e]]=36096+e,t[36096+e]=r[141][e]);for(r[142]="�����������������������������������������������������������������랟랡랢랣랤랥랦랧랪랮랯랰랱랲랳랶랷랹랺랻랼랽랾랿럀럁������럂럃럄럅럆럈럊럋럌럍럎럏럐럑럒럓럔럕럖럗럘럙럚럛럜럝������럞럟럠럡럢럣럤럥럦럧럨럩럪럫럮럯럱럲럳럵럶럷럸럹럺럻럾렂렃렄렅렆렊렋렍렎렏렑렒렓렔렕렖렗렚렜렞렟렠렡렢렣렦렧렩렪렫렭렮렯렰렱렲렳렶렺렻렼렽렾렿롁롂롃롅롆롇롈롉롊롋롌롍롎롏롐롒롔롕롖롗롘롙롚롛롞롟롡롢롣롥롦롧롨롩롪롫롮롰롲롳롴롵롶롷롹롺롻롽롾롿뢀뢁뢂뢃뢄�".split(""),e=0;e!=r[142].length;++e)65533!==r[142][e].charCodeAt(0)&&(n[r[142][e]]=36352+e,t[36352+e]=r[142][e]);for(r[143]="�����������������������������������������������������������������뢅뢆뢇뢈뢉뢊뢋뢌뢎뢏뢐뢑뢒뢓뢔뢕뢖뢗뢘뢙뢚뢛뢜뢝뢞뢟������뢠뢡뢢뢣뢤뢥뢦뢧뢩뢪뢫뢬뢭뢮뢯뢱뢲뢳뢵뢶뢷뢹뢺뢻뢼뢽������뢾뢿룂룄룆룇룈룉룊룋룍룎룏룑룒룓룕룖룗룘룙룚룛룜룞룠룢룣룤룥룦룧룪룫룭룮룯룱룲룳룴룵룶룷룺룼룾룿뤀뤁뤂뤃뤅뤆뤇뤈뤉뤊뤋뤌뤍뤎뤏뤐뤑뤒뤓뤔뤕뤖뤗뤙뤚뤛뤜뤝뤞뤟뤡뤢뤣뤤뤥뤦뤧뤨뤩뤪뤫뤬뤭뤮뤯뤰뤱뤲뤳뤴뤵뤶뤷뤸뤹뤺뤻뤾뤿륁륂륃륅륆륇륈륉륊륋륍륎륐륒륓륔륕륖륗�".split(""),e=0;e!=r[143].length;++e)65533!==r[143][e].charCodeAt(0)&&(n[r[143][e]]=36608+e,t[36608+e]=r[143][e]);for(r[144]="�����������������������������������������������������������������륚륛륝륞륟륡륢륣륤륥륦륧륪륬륮륯륰륱륲륳륶륷륹륺륻륽������륾륿릀릁릂릃릆릈릋릌릏릐릑릒릓릔릕릖릗릘릙릚릛릜릝릞������릟릠릡릢릣릤릥릦릧릨릩릪릫릮릯릱릲릳릵릶릷릸릹릺릻릾맀맂맃맄맅맆맇맊맋맍맓맔맕맖맗맚맜맟맠맢맦맧맩맪맫맭맮맯맰맱맲맳맶맻맼맽맾맿먂먃먄먅먆먇먉먊먋먌먍먎먏먐먑먒먓먔먖먗먘먙먚먛먜먝먞먟먠먡먢먣먤먥먦먧먨먩먪먫먬먭먮먯먰먱먲먳먴먵먶먷먺먻먽먾먿멁멃멄멅멆�".split(""),e=0;e!=r[144].length;++e)65533!==r[144][e].charCodeAt(0)&&(n[r[144][e]]=36864+e,t[36864+e]=r[144][e]);for(r[145]="�����������������������������������������������������������������멇멊멌멏멐멑멒멖멗멙멚멛멝멞멟멠멡멢멣멦멪멫멬멭멮멯������멲멳멵멶멷멹멺멻멼멽멾멿몀몁몂몆몈몉몊몋몍몎몏몐몑몒������몓몔몕몖몗몘몙몚몛몜몝몞몟몠몡몢몣몤몥몦몧몪몭몮몯몱몳몴몵몶몷몺몼몾몿뫀뫁뫂뫃뫅뫆뫇뫉뫊뫋뫌뫍뫎뫏뫐뫑뫒뫓뫔뫕뫖뫗뫚뫛뫜뫝뫞뫟뫠뫡뫢뫣뫤뫥뫦뫧뫨뫩뫪뫫뫬뫭뫮뫯뫰뫱뫲뫳뫴뫵뫶뫷뫸뫹뫺뫻뫽뫾뫿묁묂묃묅묆묇묈묉묊묋묌묎묐묒묓묔묕묖묗묙묚묛묝묞묟묡묢묣묤묥묦묧�".split(""),e=0;e!=r[145].length;++e)65533!==r[145][e].charCodeAt(0)&&(n[r[145][e]]=37120+e,t[37120+e]=r[145][e]);for(r[146]="�����������������������������������������������������������������묨묪묬묭묮묯묰묱묲묳묷묹묺묿뭀뭁뭂뭃뭆뭈뭊뭋뭌뭎뭑뭒������뭓뭕뭖뭗뭙뭚뭛뭜뭝뭞뭟뭠뭢뭤뭥뭦뭧뭨뭩뭪뭫뭭뭮뭯뭰뭱������뭲뭳뭴뭵뭶뭷뭸뭹뭺뭻뭼뭽뭾뭿뮀뮁뮂뮃뮄뮅뮆뮇뮉뮊뮋뮍뮎뮏뮑뮒뮓뮔뮕뮖뮗뮘뮙뮚뮛뮜뮝뮞뮟뮠뮡뮢뮣뮥뮦뮧뮩뮪뮫뮭뮮뮯뮰뮱뮲뮳뮵뮶뮸뮹뮺뮻뮼뮽뮾뮿믁믂믃믅믆믇믉믊믋믌믍믎믏믑믒믔믕믖믗믘믙믚믛믜믝믞믟믠믡믢믣믤믥믦믧믨믩믪믫믬믭믮믯믰믱믲믳믴믵믶믷믺믻믽믾밁�".split(""),e=0;e!=r[146].length;++e)65533!==r[146][e].charCodeAt(0)&&(n[r[146][e]]=37376+e,t[37376+e]=r[146][e]);for(r[147]="�����������������������������������������������������������������밃밄밅밆밇밊밎밐밒밓밙밚밠밡밢밣밦밨밪밫밬밮밯밲밳밵������밶밷밹밺밻밼밽밾밿뱂뱆뱇뱈뱊뱋뱎뱏뱑뱒뱓뱔뱕뱖뱗뱘뱙������뱚뱛뱜뱞뱟뱠뱡뱢뱣뱤뱥뱦뱧뱨뱩뱪뱫뱬뱭뱮뱯뱰뱱뱲뱳뱴뱵뱶뱷뱸뱹뱺뱻뱼뱽뱾뱿벀벁벂벃벆벇벉벊벍벏벐벑벒벓벖벘벛벜벝벞벟벢벣벥벦벩벪벫벬벭벮벯벲벶벷벸벹벺벻벾벿볁볂볃볅볆볇볈볉볊볋볌볎볒볓볔볖볗볙볚볛볝볞볟볠볡볢볣볤볥볦볧볨볩볪볫볬볭볮볯볰볱볲볳볷볹볺볻볽�".split(""),e=0;e!=r[147].length;++e)65533!==r[147][e].charCodeAt(0)&&(n[r[147][e]]=37632+e,t[37632+e]=r[147][e]);for(r[148]="�����������������������������������������������������������������볾볿봀봁봂봃봆봈봊봋봌봍봎봏봑봒봓봕봖봗봘봙봚봛봜봝������봞봟봠봡봢봣봥봦봧봨봩봪봫봭봮봯봰봱봲봳봴봵봶봷봸봹������봺봻봼봽봾봿뵁뵂뵃뵄뵅뵆뵇뵊뵋뵍뵎뵏뵑뵒뵓뵔뵕뵖뵗뵚뵛뵜뵝뵞뵟뵠뵡뵢뵣뵥뵦뵧뵩뵪뵫뵬뵭뵮뵯뵰뵱뵲뵳뵴뵵뵶뵷뵸뵹뵺뵻뵼뵽뵾뵿붂붃붅붆붋붌붍붎붏붒붔붖붗붘붛붝붞붟붠붡붢붣붥붦붧붨붩붪붫붬붭붮붯붱붲붳붴붵붶붷붹붺붻붼붽붾붿뷀뷁뷂뷃뷄뷅뷆뷇뷈뷉뷊뷋뷌뷍뷎뷏뷐뷑�".split(""),e=0;e!=r[148].length;++e)65533!==r[148][e].charCodeAt(0)&&(n[r[148][e]]=37888+e,t[37888+e]=r[148][e]);for(r[149]="�����������������������������������������������������������������뷒뷓뷖뷗뷙뷚뷛뷝뷞뷟뷠뷡뷢뷣뷤뷥뷦뷧뷨뷪뷫뷬뷭뷮뷯뷱������뷲뷳뷵뷶뷷뷹뷺뷻뷼뷽뷾뷿븁븂븄븆븇븈븉븊븋븎븏븑븒븓������븕븖븗븘븙븚븛븞븠븡븢븣븤븥븦븧븨븩븪븫븬븭븮븯븰븱븲븳븴븵븶븷븸븹븺븻븼븽븾븿빀빁빂빃빆빇빉빊빋빍빏빐빑빒빓빖빘빜빝빞빟빢빣빥빦빧빩빫빬빭빮빯빲빶빷빸빹빺빾빿뺁뺂뺃뺅뺆뺇뺈뺉뺊뺋뺎뺒뺓뺔뺕뺖뺗뺚뺛뺜뺝뺞뺟뺠뺡뺢뺣뺤뺥뺦뺧뺩뺪뺫뺬뺭뺮뺯뺰뺱뺲뺳뺴뺵뺶뺷�".split(""),e=0;e!=r[149].length;++e)65533!==r[149][e].charCodeAt(0)&&(n[r[149][e]]=38144+e,t[38144+e]=r[149][e]);for(r[150]="�����������������������������������������������������������������뺸뺹뺺뺻뺼뺽뺾뺿뻀뻁뻂뻃뻄뻅뻆뻇뻈뻉뻊뻋뻌뻍뻎뻏뻒뻓������뻕뻖뻙뻚뻛뻜뻝뻞뻟뻡뻢뻦뻧뻨뻩뻪뻫뻭뻮뻯뻰뻱뻲뻳뻴뻵������뻶뻷뻸뻹뻺뻻뻼뻽뻾뻿뼀뼂뼃뼄뼅뼆뼇뼊뼋뼌뼍뼎뼏뼐뼑뼒뼓뼔뼕뼖뼗뼚뼞뼟뼠뼡뼢뼣뼤뼥뼦뼧뼨뼩뼪뼫뼬뼭뼮뼯뼰뼱뼲뼳뼴뼵뼶뼷뼸뼹뼺뼻뼼뼽뼾뼿뽂뽃뽅뽆뽇뽉뽊뽋뽌뽍뽎뽏뽒뽓뽔뽖뽗뽘뽙뽚뽛뽜뽝뽞뽟뽠뽡뽢뽣뽤뽥뽦뽧뽨뽩뽪뽫뽬뽭뽮뽯뽰뽱뽲뽳뽴뽵뽶뽷뽸뽹뽺뽻뽼뽽뽾뽿뾀뾁뾂�".split(""),e=0;e!=r[150].length;++e)65533!==r[150][e].charCodeAt(0)&&(n[r[150][e]]=38400+e,t[38400+e]=r[150][e]);for(r[151]="�����������������������������������������������������������������뾃뾄뾅뾆뾇뾈뾉뾊뾋뾌뾍뾎뾏뾐뾑뾒뾓뾕뾖뾗뾘뾙뾚뾛뾜뾝������뾞뾟뾠뾡뾢뾣뾤뾥뾦뾧뾨뾩뾪뾫뾬뾭뾮뾯뾱뾲뾳뾴뾵뾶뾷뾸������뾹뾺뾻뾼뾽뾾뾿뿀뿁뿂뿃뿄뿆뿇뿈뿉뿊뿋뿎뿏뿑뿒뿓뿕뿖뿗뿘뿙뿚뿛뿝뿞뿠뿢뿣뿤뿥뿦뿧뿨뿩뿪뿫뿬뿭뿮뿯뿰뿱뿲뿳뿴뿵뿶뿷뿸뿹뿺뿻뿼뿽뿾뿿쀀쀁쀂쀃쀄쀅쀆쀇쀈쀉쀊쀋쀌쀍쀎쀏쀐쀑쀒쀓쀔쀕쀖쀗쀘쀙쀚쀛쀜쀝쀞쀟쀠쀡쀢쀣쀤쀥쀦쀧쀨쀩쀪쀫쀬쀭쀮쀯쀰쀱쀲쀳쀴쀵쀶쀷쀸쀹쀺쀻쀽쀾쀿�".split(""),e=0;e!=r[151].length;++e)65533!==r[151][e].charCodeAt(0)&&(n[r[151][e]]=38656+e,t[38656+e]=r[151][e]);for(r[152]="�����������������������������������������������������������������쁀쁁쁂쁃쁄쁅쁆쁇쁈쁉쁊쁋쁌쁍쁎쁏쁐쁒쁓쁔쁕쁖쁗쁙쁚쁛������쁝쁞쁟쁡쁢쁣쁤쁥쁦쁧쁪쁫쁬쁭쁮쁯쁰쁱쁲쁳쁴쁵쁶쁷쁸쁹������쁺쁻쁼쁽쁾쁿삀삁삂삃삄삅삆삇삈삉삊삋삌삍삎삏삒삓삕삖삗삙삚삛삜삝삞삟삢삤삦삧삨삩삪삫삮삱삲삷삸삹삺삻삾샂샃샄샆샇샊샋샍샎샏샑샒샓샔샕샖샗샚샞샟샠샡샢샣샦샧샩샪샫샭샮샯샰샱샲샳샶샸샺샻샼샽샾샿섁섂섃섅섆섇섉섊섋섌섍섎섏섑섒섓섔섖섗섘섙섚섛섡섢섥섨섩섪섫섮�".split(""),e=0;e!=r[152].length;++e)65533!==r[152][e].charCodeAt(0)&&(n[r[152][e]]=38912+e,t[38912+e]=r[152][e]);for(r[153]="�����������������������������������������������������������������섲섳섴섵섷섺섻섽섾섿셁셂셃셄셅셆셇셊셎셏셐셑셒셓셖셗������셙셚셛셝셞셟셠셡셢셣셦셪셫셬셭셮셯셱셲셳셵셶셷셹셺셻������셼셽셾셿솀솁솂솃솄솆솇솈솉솊솋솏솑솒솓솕솗솘솙솚솛솞솠솢솣솤솦솧솪솫솭솮솯솱솲솳솴솵솶솷솸솹솺솻솼솾솿쇀쇁쇂쇃쇅쇆쇇쇉쇊쇋쇍쇎쇏쇐쇑쇒쇓쇕쇖쇙쇚쇛쇜쇝쇞쇟쇡쇢쇣쇥쇦쇧쇩쇪쇫쇬쇭쇮쇯쇲쇴쇵쇶쇷쇸쇹쇺쇻쇾쇿숁숂숃숅숆숇숈숉숊숋숎숐숒숓숔숕숖숗숚숛숝숞숡숢숣�".split(""),e=0;e!=r[153].length;++e)65533!==r[153][e].charCodeAt(0)&&(n[r[153][e]]=39168+e,t[39168+e]=r[153][e]);for(r[154]="�����������������������������������������������������������������숤숥숦숧숪숬숮숰숳숵숶숷숸숹숺숻숼숽숾숿쉀쉁쉂쉃쉄쉅������쉆쉇쉉쉊쉋쉌쉍쉎쉏쉒쉓쉕쉖쉗쉙쉚쉛쉜쉝쉞쉟쉡쉢쉣쉤쉦������쉧쉨쉩쉪쉫쉮쉯쉱쉲쉳쉵쉶쉷쉸쉹쉺쉻쉾슀슂슃슄슅슆슇슊슋슌슍슎슏슑슒슓슔슕슖슗슙슚슜슞슟슠슡슢슣슦슧슩슪슫슮슯슰슱슲슳슶슸슺슻슼슽슾슿싀싁싂싃싄싅싆싇싈싉싊싋싌싍싎싏싐싑싒싓싔싕싖싗싘싙싚싛싞싟싡싢싥싦싧싨싩싪싮싰싲싳싴싵싷싺싽싾싿쌁쌂쌃쌄쌅쌆쌇쌊쌋쌎쌏�".split(""),e=0;e!=r[154].length;++e)65533!==r[154][e].charCodeAt(0)&&(n[r[154][e]]=39424+e,t[39424+e]=r[154][e]);for(r[155]="�����������������������������������������������������������������쌐쌑쌒쌖쌗쌙쌚쌛쌝쌞쌟쌠쌡쌢쌣쌦쌧쌪쌫쌬쌭쌮쌯쌰쌱쌲������쌳쌴쌵쌶쌷쌸쌹쌺쌻쌼쌽쌾쌿썀썁썂썃썄썆썇썈썉썊썋썌썍������썎썏썐썑썒썓썔썕썖썗썘썙썚썛썜썝썞썟썠썡썢썣썤썥썦썧썪썫썭썮썯썱썳썴썵썶썷썺썻썾썿쎀쎁쎂쎃쎅쎆쎇쎉쎊쎋쎍쎎쎏쎐쎑쎒쎓쎔쎕쎖쎗쎘쎙쎚쎛쎜쎝쎞쎟쎠쎡쎢쎣쎤쎥쎦쎧쎨쎩쎪쎫쎬쎭쎮쎯쎰쎱쎲쎳쎴쎵쎶쎷쎸쎹쎺쎻쎼쎽쎾쎿쏁쏂쏃쏄쏅쏆쏇쏈쏉쏊쏋쏌쏍쏎쏏쏐쏑쏒쏓쏔쏕쏖쏗쏚�".split(""),e=0;e!=r[155].length;++e)65533!==r[155][e].charCodeAt(0)&&(n[r[155][e]]=39680+e,t[39680+e]=r[155][e]);for(r[156]="�����������������������������������������������������������������쏛쏝쏞쏡쏣쏤쏥쏦쏧쏪쏫쏬쏮쏯쏰쏱쏲쏳쏶쏷쏹쏺쏻쏼쏽쏾������쏿쐀쐁쐂쐃쐄쐅쐆쐇쐉쐊쐋쐌쐍쐎쐏쐑쐒쐓쐔쐕쐖쐗쐘쐙쐚������쐛쐜쐝쐞쐟쐠쐡쐢쐣쐥쐦쐧쐨쐩쐪쐫쐭쐮쐯쐱쐲쐳쐵쐶쐷쐸쐹쐺쐻쐾쐿쑀쑁쑂쑃쑄쑅쑆쑇쑉쑊쑋쑌쑍쑎쑏쑐쑑쑒쑓쑔쑕쑖쑗쑘쑙쑚쑛쑜쑝쑞쑟쑠쑡쑢쑣쑦쑧쑩쑪쑫쑭쑮쑯쑰쑱쑲쑳쑶쑷쑸쑺쑻쑼쑽쑾쑿쒁쒂쒃쒄쒅쒆쒇쒈쒉쒊쒋쒌쒍쒎쒏쒐쒑쒒쒓쒕쒖쒗쒘쒙쒚쒛쒝쒞쒟쒠쒡쒢쒣쒤쒥쒦쒧쒨쒩�".split(""),e=0;e!=r[156].length;++e)65533!==r[156][e].charCodeAt(0)&&(n[r[156][e]]=39936+e,t[39936+e]=r[156][e]);for(r[157]="�����������������������������������������������������������������쒪쒫쒬쒭쒮쒯쒰쒱쒲쒳쒴쒵쒶쒷쒹쒺쒻쒽쒾쒿쓀쓁쓂쓃쓄쓅������쓆쓇쓈쓉쓊쓋쓌쓍쓎쓏쓐쓑쓒쓓쓔쓕쓖쓗쓘쓙쓚쓛쓜쓝쓞쓟������쓠쓡쓢쓣쓤쓥쓦쓧쓨쓪쓫쓬쓭쓮쓯쓲쓳쓵쓶쓷쓹쓻쓼쓽쓾씂씃씄씅씆씇씈씉씊씋씍씎씏씑씒씓씕씖씗씘씙씚씛씝씞씟씠씡씢씣씤씥씦씧씪씫씭씮씯씱씲씳씴씵씶씷씺씼씾씿앀앁앂앃앆앇앋앏앐앑앒앖앚앛앜앟앢앣앥앦앧앩앪앫앬앭앮앯앲앶앷앸앹앺앻앾앿얁얂얃얅얆얈얉얊얋얎얐얒얓얔�".split(""),e=0;e!=r[157].length;++e)65533!==r[157][e].charCodeAt(0)&&(n[r[157][e]]=40192+e,t[40192+e]=r[157][e]);for(r[158]="�����������������������������������������������������������������얖얙얚얛얝얞얟얡얢얣얤얥얦얧얨얪얫얬얭얮얯얰얱얲얳얶������얷얺얿엀엁엂엃엋엍엏엒엓엕엖엗엙엚엛엜엝엞엟엢엤엦엧������엨엩엪엫엯엱엲엳엵엸엹엺엻옂옃옄옉옊옋옍옎옏옑옒옓옔옕옖옗옚옝옞옟옠옡옢옣옦옧옩옪옫옯옱옲옶옸옺옼옽옾옿왂왃왅왆왇왉왊왋왌왍왎왏왒왖왗왘왙왚왛왞왟왡왢왣왤왥왦왧왨왩왪왫왭왮왰왲왳왴왵왶왷왺왻왽왾왿욁욂욃욄욅욆욇욊욌욎욏욐욑욒욓욖욗욙욚욛욝욞욟욠욡욢욣욦�".split(""),e=0;e!=r[158].length;++e)65533!==r[158][e].charCodeAt(0)&&(n[r[158][e]]=40448+e,t[40448+e]=r[158][e]);for(r[159]="�����������������������������������������������������������������욨욪욫욬욭욮욯욲욳욵욶욷욻욼욽욾욿웂웄웆웇웈웉웊웋웎������웏웑웒웓웕웖웗웘웙웚웛웞웟웢웣웤웥웦웧웪웫웭웮웯웱웲������웳웴웵웶웷웺웻웼웾웿윀윁윂윃윆윇윉윊윋윍윎윏윐윑윒윓윖윘윚윛윜윝윞윟윢윣윥윦윧윩윪윫윬윭윮윯윲윴윶윸윹윺윻윾윿읁읂읃읅읆읇읈읉읋읎읐읙읚읛읝읞읟읡읢읣읤읥읦읧읩읪읬읭읮읯읰읱읲읳읶읷읹읺읻읿잀잁잂잆잋잌잍잏잒잓잕잙잛잜잝잞잟잢잧잨잩잪잫잮잯잱잲잳잵잶잷�".split(""),e=0;e!=r[159].length;++e)65533!==r[159][e].charCodeAt(0)&&(n[r[159][e]]=40704+e,t[40704+e]=r[159][e]);for(r[160]="�����������������������������������������������������������������잸잹잺잻잾쟂쟃쟄쟅쟆쟇쟊쟋쟍쟏쟑쟒쟓쟔쟕쟖쟗쟙쟚쟛쟜������쟞쟟쟠쟡쟢쟣쟥쟦쟧쟩쟪쟫쟭쟮쟯쟰쟱쟲쟳쟴쟵쟶쟷쟸쟹쟺������쟻쟼쟽쟾쟿젂젃젅젆젇젉젋젌젍젎젏젒젔젗젘젙젚젛젞젟젡젢젣젥젦젧젨젩젪젫젮젰젲젳젴젵젶젷젹젺젻젽젾젿졁졂졃졄졅졆졇졊졋졎졏졐졑졒졓졕졖졗졘졙졚졛졜졝졞졟졠졡졢졣졤졥졦졧졨졩졪졫졬졭졮졯졲졳졵졶졷졹졻졼졽졾졿좂좄좈좉좊좎좏좐좑좒좓좕좖좗좘좙좚좛좜좞좠좢좣좤�".split(""),e=0;e!=r[160].length;++e)65533!==r[160][e].charCodeAt(0)&&(n[r[160][e]]=40960+e,t[40960+e]=r[160][e]);for(r[161]="�����������������������������������������������������������������좥좦좧좩좪좫좬좭좮좯좰좱좲좳좴좵좶좷좸좹좺좻좾좿죀죁������죂죃죅죆죇죉죊죋죍죎죏죐죑죒죓죖죘죚죛죜죝죞죟죢죣죥������죦죧죨죩죪죫죬죭죮죯죰죱죲죳죴죶죷죸죹죺죻죾죿줁줂줃줇줈줉줊줋줎　、。·‥…¨〃­―∥＼∼‘’“”〔〕〈〉《》「」『』【】±×÷≠≤≥∞∴°′″℃Å￠￡￥♂♀∠⊥⌒∂∇≡≒§※☆★○●◎◇◆□■△▲▽▼→←↑↓↔〓≪≫√∽∝∵∫∬∈∋⊆⊇⊂⊃∪∩∧∨￢�".split(""),e=0;e!=r[161].length;++e)65533!==r[161][e].charCodeAt(0)&&(n[r[161][e]]=41216+e,t[41216+e]=r[161][e]);for(r[162]="�����������������������������������������������������������������줐줒줓줔줕줖줗줙줚줛줜줝줞줟줠줡줢줣줤줥줦줧줨줩줪줫������줭줮줯줰줱줲줳줵줶줷줸줹줺줻줼줽줾줿쥀쥁쥂쥃쥄쥅쥆쥇������쥈쥉쥊쥋쥌쥍쥎쥏쥒쥓쥕쥖쥗쥙쥚쥛쥜쥝쥞쥟쥢쥤쥥쥦쥧쥨쥩쥪쥫쥭쥮쥯⇒⇔∀∃´～ˇ˘˝˚˙¸˛¡¿ː∮∑∏¤℉‰◁◀▷▶♤♠♡♥♧♣⊙◈▣◐◑▒▤▥▨▧▦▩♨☏☎☜☞¶†‡↕↗↙↖↘♭♩♪♬㉿㈜№㏇™㏂㏘℡€®������������������������".split(""),e=0;e!=r[162].length;++e)65533!==r[162][e].charCodeAt(0)&&(n[r[162][e]]=41472+e,t[41472+e]=r[162][e]);for(r[163]="�����������������������������������������������������������������쥱쥲쥳쥵쥶쥷쥸쥹쥺쥻쥽쥾쥿즀즁즂즃즄즅즆즇즊즋즍즎즏������즑즒즓즔즕즖즗즚즜즞즟즠즡즢즣즤즥즦즧즨즩즪즫즬즭즮������즯즰즱즲즳즴즵즶즷즸즹즺즻즼즽즾즿짂짃짅짆짉짋짌짍짎짏짒짔짗짘짛！＂＃＄％＆＇（）＊＋，－．／０１２３４５６７８９：；＜＝＞？＠ＡＢＣＤＥＦＧＨＩＪＫＬＭＮＯＰＱＲＳＴＵＶＷＸＹＺ［￦］＾＿｀ａｂｃｄｅｆｇｈｉｊｋｌｍｎｏｐｑｒｓｔｕｖｗｘｙｚ｛｜｝￣�".split(""),e=0;e!=r[163].length;++e)65533!==r[163][e].charCodeAt(0)&&(n[r[163][e]]=41728+e,t[41728+e]=r[163][e]);for(r[164]="�����������������������������������������������������������������짞짟짡짣짥짦짨짩짪짫짮짲짳짴짵짶짷짺짻짽짾짿쨁쨂쨃쨄������쨅쨆쨇쨊쨎쨏쨐쨑쨒쨓쨕쨖쨗쨙쨚쨛쨜쨝쨞쨟쨠쨡쨢쨣쨤쨥������쨦쨧쨨쨪쨫쨬쨭쨮쨯쨰쨱쨲쨳쨴쨵쨶쨷쨸쨹쨺쨻쨼쨽쨾쨿쩀쩁쩂쩃쩄쩅쩆ㄱㄲㄳㄴㄵㄶㄷㄸㄹㄺㄻㄼㄽㄾㄿㅀㅁㅂㅃㅄㅅㅆㅇㅈㅉㅊㅋㅌㅍㅎㅏㅐㅑㅒㅓㅔㅕㅖㅗㅘㅙㅚㅛㅜㅝㅞㅟㅠㅡㅢㅣㅤㅥㅦㅧㅨㅩㅪㅫㅬㅭㅮㅯㅰㅱㅲㅳㅴㅵㅶㅷㅸㅹㅺㅻㅼㅽㅾㅿㆀㆁㆂㆃㆄㆅㆆㆇㆈㆉㆊㆋㆌㆍㆎ�".split(""),e=0;e!=r[164].length;++e)65533!==r[164][e].charCodeAt(0)&&(n[r[164][e]]=41984+e,t[41984+e]=r[164][e]);for(r[165]="�����������������������������������������������������������������쩇쩈쩉쩊쩋쩎쩏쩑쩒쩓쩕쩖쩗쩘쩙쩚쩛쩞쩢쩣쩤쩥쩦쩧쩩쩪������쩫쩬쩭쩮쩯쩰쩱쩲쩳쩴쩵쩶쩷쩸쩹쩺쩻쩼쩾쩿쪀쪁쪂쪃쪅쪆������쪇쪈쪉쪊쪋쪌쪍쪎쪏쪐쪑쪒쪓쪔쪕쪖쪗쪙쪚쪛쪜쪝쪞쪟쪠쪡쪢쪣쪤쪥쪦쪧ⅰⅱⅲⅳⅴⅵⅶⅷⅸⅹ�����ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩ�������ΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡΣΤΥΦΧΨΩ��������αβγδεζηθικλμνξοπρστυφχψω�������".split(""),e=0;e!=r[165].length;++e)65533!==r[165][e].charCodeAt(0)&&(n[r[165][e]]=42240+e,t[42240+e]=r[165][e]);for(r[166]="�����������������������������������������������������������������쪨쪩쪪쪫쪬쪭쪮쪯쪰쪱쪲쪳쪴쪵쪶쪷쪸쪹쪺쪻쪾쪿쫁쫂쫃쫅������쫆쫇쫈쫉쫊쫋쫎쫐쫒쫔쫕쫖쫗쫚쫛쫜쫝쫞쫟쫡쫢쫣쫤쫥쫦쫧������쫨쫩쫪쫫쫭쫮쫯쫰쫱쫲쫳쫵쫶쫷쫸쫹쫺쫻쫼쫽쫾쫿쬀쬁쬂쬃쬄쬅쬆쬇쬉쬊─│┌┐┘└├┬┤┴┼━┃┏┓┛┗┣┳┫┻╋┠┯┨┷┿┝┰┥┸╂┒┑┚┙┖┕┎┍┞┟┡┢┦┧┩┪┭┮┱┲┵┶┹┺┽┾╀╁╃╄╅╆╇╈╉╊���������������������������".split(""),e=0;e!=r[166].length;++e)65533!==r[166][e].charCodeAt(0)&&(n[r[166][e]]=42496+e,t[42496+e]=r[166][e]);for(r[167]="�����������������������������������������������������������������쬋쬌쬍쬎쬏쬑쬒쬓쬕쬖쬗쬙쬚쬛쬜쬝쬞쬟쬢쬣쬤쬥쬦쬧쬨쬩������쬪쬫쬬쬭쬮쬯쬰쬱쬲쬳쬴쬵쬶쬷쬸쬹쬺쬻쬼쬽쬾쬿쭀쭂쭃쭄������쭅쭆쭇쭊쭋쭍쭎쭏쭑쭒쭓쭔쭕쭖쭗쭚쭛쭜쭞쭟쭠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c=8+(r.w_bits-8<<4)<<8;c|=(r.strategy>=2||r.level<2?0:r.level<6?1:6===r.level?2:3)<<6,0!==r.strstart&&(c|=32),c+=31-c%31,r.status=f,w(r,c),0!==r.strstart&&(w(r,e.adler>>>16),w(r,65535&e.adler)),e.adler=1}if(69===r.status)if(r.gzhead.extra){for(s=r.pending;r.gzindex<(65535&r.gzhead.extra.length)&&(r.pending!==r.pending_buf_size||(r.gzhead.hcrc&&r.pending>s&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),y(e),s=r.pending,r.pending!==r.pending_buf_size));)v(r,255&r.gzhead.extra[r.gzindex]),r.gzindex++;r.gzhead.hcrc&&r.pending>s&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),r.gzindex===r.gzhead.extra.length&&(r.gzindex=0,r.status=73)}else r.status=73;if(73===r.status)if(r.gzhead.name){s=r.pending;do{if(r.pending===r.pending_buf_size&&(r.gzhead.hcrc&&r.pending>s&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),y(e),s=r.pending,r.pending===r.pending_buf_size)){o=1;break}o=r.gzindexs&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),0===o&&(r.gzindex=0,r.status=91)}else r.status=91;if(91===r.status)if(r.gzhead.comment){s=r.pending;do{if(r.pending===r.pending_buf_size&&(r.gzhead.hcrc&&r.pending>s&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),y(e),s=r.pending,r.pending===r.pending_buf_size)){o=1;break}o=r.gzindexs&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),0===o&&(r.status=h)}else r.status=h;if(r.status===h&&(r.gzhead.hcrc?(r.pending+2>r.pending_buf_size&&y(e),r.pending+2<=r.pending_buf_size&&(v(r,255&e.adler),v(r,e.adler>>8&255),e.adler=0,r.status=f)):r.status=f),0!==r.pending){if(y(e),0===e.avail_out)return r.last_flush=-1,0}else if(0===e.avail_in&&m(t)<=m(n)&&4!==t)return p(e,-5);if(r.status===d&&0!==e.avail_in)return p(e,-5);if(0!==e.avail_in||0!==r.lookahead||0!==t&&r.status!==d){var _=2===r.strategy?function(e,t){for(var n;;){if(0===e.lookahead&&(x(e),0===e.lookahead)){if(0===t)return 1;break}if(e.match_length=0,n=a._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(b(e,!1),0===e.strm.avail_out))return 1}return e.insert=0,4===t?(b(e,!0),0===e.strm.avail_out?3:4):e.last_lit&&(b(e,!1),0===e.strm.avail_out)?1:2}(r,t):3===r.strategy?function(e,t){for(var n,r,s,i,o=e.window;;){if(e.lookahead<=u){if(x(e),e.lookahead<=u&&0===t)return 1;if(0===e.lookahead)break}if(e.match_length=0,e.lookahead>=3&&e.strstart>0&&(r=o[s=e.strstart-1])===o[++s]&&r===o[++s]&&r===o[++s]){i=e.strstart+u;do{}while(r===o[++s]&&r===o[++s]&&r===o[++s]&&r===o[++s]&&r===o[++s]&&r===o[++s]&&r===o[++s]&&r===o[++s]&&se.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=3?(n=a._tr_tally(e,1,e.match_length-3),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=a._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(b(e,!1),0===e.strm.avail_out))return 1}return e.insert=0,4===t?(b(e,!0),0===e.strm.avail_out?3:4):e.last_lit&&(b(e,!1),0===e.strm.avail_out)?1:2}(r,t):C[r.level].func(r,t);if(3!==_&&4!==_||(r.status=d),1===_||3===_)return 0===e.avail_out&&(r.last_flush=-1),0;if(2===_&&(1===t?a._tr_align(r):5!==t&&(a._tr_stored_block(r,0,0,!1),3===t&&(g(r.head),0===r.lookahead&&(r.strstart=0,r.block_start=0,r.insert=0))),y(e),0===e.avail_out))return r.last_flush=-1,0}return 4!==t?0:r.wrap<=0?1:(2===r.wrap?(v(r,255&e.adler),v(r,e.adler>>8&255),v(r,e.adler>>16&255),v(r,e.adler>>24&255),v(r,255&e.total_in),v(r,e.total_in>>8&255),v(r,e.total_in>>16&255),v(r,e.total_in>>24&255)):(w(r,e.adler>>>16),w(r,65535&e.adler)),y(e),r.wrap>0&&(r.wrap=-r.wrap),0!==r.pending?0:1)},n.deflateEnd=function(e){var t;return e&&e.state?42!==(t=e.state.status)&&69!==t&&73!==t&&91!==t&&t!==h&&t!==f&&t!==d?p(e,l):(e.state=null,t===f?p(e,-3):0):l},n.deflateInfo="pako deflate (from Nodeca project)"},{"../utils/common":27,"./adler32":29,"./crc32":31,"./messages":37,"./trees":38}],33:[function(e,t,n){"use strict";t.exports=function(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}},{}],34:[function(e,t,n){"use strict";t.exports=function(e,t){var n,r,a,s,i,o,l,u,c,h,f,d,p,m,g,y,b,v,w,_,x,k,E,C,S;n=e.state,r=e.next_in,C=e.input,a=r+(e.avail_in-5),s=e.next_out,S=e.output,i=s-(t-e.avail_out),o=s+(e.avail_out-257),l=n.dmax,u=n.wsize,c=n.whave,h=n.wnext,f=n.window,d=n.hold,p=n.bits,m=n.lencode,g=n.distcode,y=(1<>>=w=v>>>24,p-=w,0==(w=v>>>16&255))S[s++]=65535&v;else{if(!(16&w)){if(0==(64&w)){v=m[(65535&v)+(d&(1<>>=w,p-=w),p<15&&(d+=C[r++]<>>=w=v>>>24,p-=w,!(16&(w=v>>>16&255))){if(0==(64&w)){v=g[(65535&v)+(d&(1<l){e.msg="invalid distance too far back",n.mode=30;break e}if(d>>>=w,p-=w,x>(w=s-i)){if((w=x-w)>c&&n.sane){e.msg="invalid distance too far back",n.mode=30;break e}if(k=0,E=f,0===h){if(k+=u-w,w<_){_-=w;do{S[s++]=f[k++]}while(--w);k=s-x,E=S}}else if(h2;)S[s++]=E[k++],S[s++]=E[k++],S[s++]=E[k++],_-=3;_&&(S[s++]=E[k++],_>1&&(S[s++]=E[k++]))}else{k=s-x;do{S[s++]=S[k++],S[s++]=S[k++],S[s++]=S[k++],_-=3}while(_>2);_&&(S[s++]=S[k++],_>1&&(S[s++]=S[k++]))}break}}break}}while(r>3,d&=(1<<(p-=_<<3))-1,e.next_in=r,e.next_out=s,e.avail_in=r>>24&255)+(e>>>8&65280)+((65280&e)<<8)+((255&e)<<24)}function f(){this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new r.Buf16(320),this.work=new r.Buf16(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}function d(e){var t;return e&&e.state?(t=e.state,e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=1&t.wrap),t.mode=1,t.last=0,t.havedict=0,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new r.Buf32(852),t.distcode=t.distdyn=new r.Buf32(592),t.sane=1,t.back=-1,0):l}function p(e){var t;return e&&e.state?((t=e.state).wsize=0,t.whave=0,t.wnext=0,d(e)):l}function m(e,t){var n,r;return e&&e.state?(r=e.state,t<0?(n=0,t=-t):(n=1+(t>>4),t<48&&(t&=15)),t&&(t<8||t>15)?l:(null!==r.window&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,p(e))):l}function g(e,t){var n,r;return e?(r=new f,e.state=r,r.window=null,0!==(n=m(e,t))&&(e.state=null),n):l}var y,b,v=!0;function w(e){if(v){var t;for(y=new r.Buf32(512),b=new r.Buf32(32),t=0;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(o(1,e.lens,0,288,y,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;o(2,e.lens,0,32,b,0,e.work,{bits:5}),v=!1}e.lencode=y,e.lenbits=9,e.distcode=b,e.distbits=5}n.inflateReset=p,n.inflateReset2=m,n.inflateResetKeep=d,n.inflateInit=function(e){return g(e,15)},n.inflateInit2=g,n.inflate=function(e,t){var n,f,d,p,m,g,y,b,v,_,x,k,E,C,S,N,I,A,D,T,F,R,O,M,B=0,$=new r.Buf8(4),P=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];if(!e||!e.state||!e.output||!e.input&&0!==e.avail_in)return l;(n=e.state).mode===u&&(n.mode=13),m=e.next_out,d=e.output,y=e.avail_out,p=e.next_in,f=e.input,g=e.avail_in,b=n.hold,v=n.bits,_=g,x=y,R=0;e:for(;;)switch(n.mode){case 1:if(0===n.wrap){n.mode=13;break}for(;v<16;){if(0===g)break e;g--,b+=f[p++]<>>8&255,n.check=s(n.check,$,2,0),b=0,v=0,n.mode=2;break}if(n.flags=0,n.head&&(n.head.done=!1),!(1&n.wrap)||(((255&b)<<8)+(b>>8))%31){e.msg="incorrect header check",n.mode=c;break}if(8!=(15&b)){e.msg="unknown compression method",n.mode=c;break}if(v-=4,F=8+(15&(b>>>=4)),0===n.wbits)n.wbits=F;else if(F>n.wbits){e.msg="invalid window size",n.mode=c;break}n.dmax=1<>8&1),512&n.flags&&($[0]=255&b,$[1]=b>>>8&255,n.check=s(n.check,$,2,0)),b=0,v=0,n.mode=3;case 3:for(;v<32;){if(0===g)break e;g--,b+=f[p++]<>>8&255,$[2]=b>>>16&255,$[3]=b>>>24&255,n.check=s(n.check,$,4,0)),b=0,v=0,n.mode=4;case 4:for(;v<16;){if(0===g)break e;g--,b+=f[p++]<>8),512&n.flags&&($[0]=255&b,$[1]=b>>>8&255,n.check=s(n.check,$,2,0)),b=0,v=0,n.mode=5;case 5:if(1024&n.flags){for(;v<16;){if(0===g)break e;g--,b+=f[p++]<>>8&255,n.check=s(n.check,$,2,0)),b=0,v=0}else n.head&&(n.head.extra=null);n.mode=6;case 6:if(1024&n.flags&&((k=n.length)>g&&(k=g),k&&(n.head&&(F=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Array(n.head.extra_len)),r.arraySet(n.head.extra,f,p,k,F)),512&n.flags&&(n.check=s(n.check,f,k,p)),g-=k,p+=k,n.length-=k),n.length))break e;n.length=0,n.mode=7;case 7:if(2048&n.flags){if(0===g)break e;k=0;do{F=f[p+k++],n.head&&F&&n.length<65536&&(n.head.name+=String.fromCharCode(F))}while(F&&k>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=u;break;case 10:for(;v<32;){if(0===g)break e;g--,b+=f[p++]<>>=7&v,v-=7&v,n.mode=27;break}for(;v<3;){if(0===g)break e;g--,b+=f[p++]<>>=1)){case 0:n.mode=14;break;case 1:if(w(n),n.mode=20,6===t){b>>>=2,v-=2;break e}break;case 2:n.mode=17;break;case 3:e.msg="invalid block type",n.mode=c}b>>>=2,v-=2;break;case 14:for(b>>>=7&v,v-=7&v;v<32;){if(0===g)break e;g--,b+=f[p++]<>>16^65535)){e.msg="invalid stored block lengths",n.mode=c;break}if(n.length=65535&b,b=0,v=0,n.mode=15,6===t)break e;case 15:n.mode=16;case 16:if(k=n.length){if(k>g&&(k=g),k>y&&(k=y),0===k)break e;r.arraySet(d,f,p,k,m),g-=k,p+=k,y-=k,m+=k,n.length-=k;break}n.mode=u;break;case 17:for(;v<14;){if(0===g)break e;g--,b+=f[p++]<>>=5,v-=5,n.ndist=1+(31&b),b>>>=5,v-=5,n.ncode=4+(15&b),b>>>=4,v-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=c;break}n.have=0,n.mode=18;case 18:for(;n.have>>=3,v-=3}for(;n.have<19;)n.lens[P[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,O={bits:n.lenbits},R=o(0,n.lens,0,19,n.lencode,0,n.work,O),n.lenbits=O.bits,R){e.msg="invalid code lengths set",n.mode=c;break}n.have=0,n.mode=19;case 19:for(;n.have>>16&255,I=65535&B,!((S=B>>>24)<=v);){if(0===g)break e;g--,b+=f[p++]<>>=S,v-=S,n.lens[n.have++]=I;else{if(16===I){for(M=S+2;v>>=S,v-=S,0===n.have){e.msg="invalid bit length repeat",n.mode=c;break}F=n.lens[n.have-1],k=3+(3&b),b>>>=2,v-=2}else if(17===I){for(M=S+3;v>>=S)),b>>>=3,v-=3}else{for(M=S+7;v>>=S)),b>>>=7,v-=7}if(n.have+k>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=c;break}for(;k--;)n.lens[n.have++]=F}}if(n.mode===c)break;if(0===n.lens[256]){e.msg="invalid code -- missing end-of-block",n.mode=c;break}if(n.lenbits=9,O={bits:n.lenbits},R=o(1,n.lens,0,n.nlen,n.lencode,0,n.work,O),n.lenbits=O.bits,R){e.msg="invalid literal/lengths set",n.mode=c;break}if(n.distbits=6,n.distcode=n.distdyn,O={bits:n.distbits},R=o(2,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,O),n.distbits=O.bits,R){e.msg="invalid distances set",n.mode=c;break}if(n.mode=20,6===t)break e;case 20:n.mode=21;case 21:if(g>=6&&y>=258){e.next_out=m,e.avail_out=y,e.next_in=p,e.avail_in=g,n.hold=b,n.bits=v,i(e,x),m=e.next_out,d=e.output,y=e.avail_out,p=e.next_in,f=e.input,g=e.avail_in,b=n.hold,v=n.bits,n.mode===u&&(n.back=-1);break}for(n.back=0;N=(B=n.lencode[b&(1<>>16&255,I=65535&B,!((S=B>>>24)<=v);){if(0===g)break e;g--,b+=f[p++]<>A)])>>>16&255,I=65535&B,!(A+(S=B>>>24)<=v);){if(0===g)break e;g--,b+=f[p++]<>>=A,v-=A,n.back+=A}if(b>>>=S,v-=S,n.back+=S,n.length=I,0===N){n.mode=26;break}if(32&N){n.back=-1,n.mode=u;break}if(64&N){e.msg="invalid literal/length code",n.mode=c;break}n.extra=15&N,n.mode=22;case 22:if(n.extra){for(M=n.extra;v>>=n.extra,v-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=23;case 23:for(;N=(B=n.distcode[b&(1<>>16&255,I=65535&B,!((S=B>>>24)<=v);){if(0===g)break e;g--,b+=f[p++]<>A)])>>>16&255,I=65535&B,!(A+(S=B>>>24)<=v);){if(0===g)break e;g--,b+=f[p++]<>>=A,v-=A,n.back+=A}if(b>>>=S,v-=S,n.back+=S,64&N){e.msg="invalid distance code",n.mode=c;break}n.offset=I,n.extra=15&N,n.mode=24;case 24:if(n.extra){for(M=n.extra;v>>=n.extra,v-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=c;break}n.mode=25;case 25:if(0===y)break e;if(k=x-y,n.offset>k){if((k=n.offset-k)>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=c;break}k>n.wnext?(k-=n.wnext,E=n.wsize-k):E=n.wnext-k,k>n.length&&(k=n.length),C=n.window}else C=d,E=m-n.offset,k=n.length;k>y&&(k=y),y-=k,n.length-=k;do{d[m++]=C[E++]}while(--k);0===n.length&&(n.mode=21);break;case 26:if(0===y)break e;d[m++]=n.length,y--,n.mode=21;break;case 27:if(n.wrap){for(;v<32;){if(0===g)break 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Cs="/",Ss="tensorflowjs_models",Ns="info",Is="model_topology",As="weight_specs",Ds="weight_data",Ts="model_metadata";function Fs(e){return{info:[Ss,e,Ns].join(Cs),topology:[Ss,e,Is].join(Cs),weightSpecs:[Ss,e,As].join(Cs),weightData:[Ss,e,Ds].join(Cs),modelMetadata:[Ss,e,Ts].join(Cs)}}function Rs(e){const t=e.split(Cs);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(Cs)}class Os{constructor(e){if(!We().getBool("IS_BROWSER")||"undefined"==typeof window||void 0===window.localStorage)throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,null==e||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=Fs(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{const 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BrowserFiles supports loading Keras-style tf.Model artifacts only.`),a.readAsText(e)}))}checkManifestAndWeightFiles(e,t){const n=[],r=t.map((e=>us(e.name))),a={};for(const s of e)s.paths.forEach((e=>{const s=us(e);if(-1!==n.indexOf(s))throw new Error(`Duplicate file basename found in weights manifest: '${s}'`);if(n.push(s),-1===r.indexOf(s))throw new Error(`Weight file with basename '${s}' is not provided.`);a[e]=t[r.indexOf(s)]}));if(n.length!==t.length)throw new Error(`Mismatch in the number of files in weights manifest (${n.length}) and the number of weight files provided (${t.length}).`);return a}}function ei(e){return new Qs(e)}function ti(e,t,n,r){!function(e){Q(null!=e&&Array.isArray(e)&&e.length>0,(()=>"promises must be a none empty array"))}(e),function(e,t){Q(e>=0&&e<=1,(()=>`Progress fraction must be in range [0, 1], but got startFraction ${e}`)),Q(t>=0&&t<=1,(()=>`Progress fraction must be in range [0, 1], but got endFraction ${t}`)),Q(t>=e,(()=>`startFraction must be no more than endFraction, but got startFraction ${e} and endFraction ${t}`))}(n=null==n?0:n,r=null==r?1:r);let a=0;return Promise.all(e.map((s=>(s.then((s=>{const i=n+ ++a/e.length*(r-n);return t(i),s})),s))))}async function ni(e,t){null==t&&(t={});const n=null==t.fetchFunc?We().platform.fetch:t.fetchFunc,r=e.map((e=>n(e,t.requestInit,{isBinary:!0}))),a=(null==t.onProgress?await Promise.all(r):await ti(r,t.onProgress,0,.5)).map((e=>e.arrayBuffer()));return null==t.onProgress?await Promise.all(a):await ti(a,t.onProgress,.5,1)}async function ri(e,t="",n,r){return ai((e=>ni(e,{requestInit:r})))(e,t,n)}function ai(e){return async(t,n="",r)=>{const a=t.map((()=>!1)),s={},i=null!=r?r.map((()=>!1)):[],o=[];if(t.forEach(((e,t)=>{let n=0;e.weights.forEach((e=>{const l="quantization"in e?e.quantization.dtype:e.dtype,u=ns[l]*re(e.shape),c=()=>{a[t]=!0,null==s[t]&&(s[t]=[]),s[t].push({manifestEntry:e,groupOffset:n,sizeBytes:u})};null!=r?r.forEach(((t,n)=>{t===e.name&&(c(),i[n]=!0)})):c(),o.push(e.name),n+=u}))})),!i.every((e=>e))){const e=r.filter(((e,t)=>!i[t]));throw new Error(`Could not find weights in manifest with names: ${e.join(", ")}. \nManifest JSON has weights with names: ${o.join(", ")}.`)}const l=a.reduce(((e,t,n)=>(t&&e.push(n),e)),[]),u=[];l.forEach((e=>{t[e].paths.forEach((e=>{const t=n+(n.endsWith("/")?"":"/")+e;u.push(t)}))}));const c=await e(u),h={};let f=0;return l.forEach((e=>{const n=t[e].paths.length;let r=0;for(let e=0;e{const t=as(a.slice(e.groupOffset,e.groupOffset+e.sizeBytes),[e.manifestEntry]);for(const e in t)h[e]=t[e]})),f+=n})),h}}fs.registerSaveRouter((e=>We().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(Zs.URL_SCHEME)?function(e="model"){return new Zs(e)}(e.slice(Zs.URL_SCHEME.length)):null));class si{constructor(e,t){if(this.DEFAULT_METHOD="POST",null==t&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,null!=t.fetchFunc?(Q("function"==typeof t.fetchFunc,(()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)")),this.fetch=t.fetchFunc):this.fetch=We().platform.fetch,Q(null!=e&&e.length>0,(()=>"URL path for http must not be null, undefined or empty.")),Array.isArray(e)&&Q(2===e.length,(()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`)),this.path=e,null!=t.requestInit&&null!=t.requestInit.body)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");const t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;const n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],r={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:n};null!=e.signature&&(r.signature=e.signature),null!=e.userDefinedMetadata&&(r.userDefinedMetadata=e.userDefinedMetadata),null!=e.modelInitializer&&(r.modelInitializer=e.modelInitializer),t.body.append("model.json",new Blob([JSON.stringify(r)],{type:"application/json"}),"model.json"),null!=e.weightData&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:"application/octet-stream"}),"model.weights.bin");const a=await this.fetch(this.path,t);if(a.ok)return{modelArtifactsInfo:cs(e),responses:[a]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${a.status}.`)}async load(){const e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(e){let t=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?t+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. 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r=Wa.registeredVariables[t];null==this.accumulatedGrads[n]&&(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:po((()=>Ro(r).variable(!1)))}),null==this.accumulatedUpdates[n]&&(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:po((()=>Ro(r).variable(!1)))});const a=Array.isArray(e)?e[n].tensor:e[t];if(null==a)return;const s=this.accumulatedGrads[n].variable,i=this.accumulatedUpdates[n].variable;po((()=>{const e=No(Do(s,this.rho),Do(Fo(a),1-this.rho)),t=Do(Ao(To(No(i,this.epsilon)),To(No(s,this.epsilon))),a),n=No(Do(i,this.rho),Do(Fo(t),1-this.rho));s.assign(e),i.assign(n);const o=No(Do(t,-this.learningRate),r);r.assign(o)}))})),this.incrementIterations()}dispose(){null!=this.accumulatedUpdates&&(mo(this.accumulatedGrads.map((e=>e.variable))),mo(this.accumulatedUpdates.map((e=>e.variable))))}async getWeights(){const e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map((e=>({name:e.originalName,tensor:e.variable}))))}async setWeights(e){const t=(e=await this.extractIterations(e)).length/2;this.accumulatedGrads=e.slice(0,t).map((e=>({originalName:e.name,variable:e.tensor.variable(!1)}))),this.accumulatedUpdates=e.slice(t,2*t).map((e=>({originalName:e.name,variable:e.tensor.variable(!1)})))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}}function jo(e,t,n){const r={shape:e,value:t,dtype:n};return Wa.runKernel(qt,{},r)}Vo.className="Adadelta",Gi(Vo);class Ho extends Uo{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map((e=>e.name)):Object.keys(e)).forEach(((t,n)=>{const r=Wa.registeredVariables[t];if(null==this.accumulatedGrads[n]){const e=!1;this.accumulatedGrads[n]={originalName:`${t}/accumulator`,variable:po((()=>jo(r.shape,this.initialAccumulatorValue).variable(e)))}}const a=Array.isArray(e)?e[n].tensor:e[t];if(null==a)return;const s=this.accumulatedGrads[n].variable;po((()=>{const e=No(s,Fo(a));s.assign(e);const t=No(Do(Ao(a,To(No(e,Wa.backend.epsilon()))),-this.learningRate),r);r.assign(t)}))})),this.incrementIterations()}dispose(){null!=this.accumulatedGrads&&mo(this.accumulatedGrads.map((e=>e.variable)))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map((e=>({name:e.originalName,tensor:e.variable}))))}async setWeights(e){e=await this.extractIterations(e),this.accumulatedGrads=e.map((e=>({originalName:e.name,variable:e.tensor.variable(!1)})))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}}Ho.className="Adagrad",Gi(Ho);const Go=Za({pow_:function(e,t){let n=qa(e,"base","pow"),r=qa(t,"exp","pow");[n,r]=Fa(n,r);const a={a:n,b:r};return Wa.runKernel(Xn,a)}}),Xo=Za({sub_:function(e,t){let n=qa(e,"a","sub"),r=qa(t,"b","sub");[n,r]=Fa(n,r);const a={a:n,b:r};return Wa.runKernel(Ar,a)}});class Ko extends Uo{constructor(e,t,n,r=null){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=r,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],po((()=>{this.accBeta1=Wo(t).variable(),this.accBeta2=Wo(n).variable()})),null==r&&(this.epsilon=Wa.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map((e=>e.name)):Object.keys(e);po((()=>{const n=Xo(1,this.accBeta1),r=Xo(1,this.accBeta2);t.forEach(((t,a)=>{const s=Wa.registeredVariables[t];null==this.accumulatedFirstMoment[a]&&(this.accumulatedFirstMoment[a]={originalName:`${t}/m`,variable:po((()=>Ro(s).variable(!1)))}),null==this.accumulatedSecondMoment[a]&&(this.accumulatedSecondMoment[a]={originalName:`${t}/v`,variable:po((()=>Ro(s).variable(!1)))});const i=Array.isArray(e)?e[a].tensor:e[t];if(null==i)return;const o=this.accumulatedFirstMoment[a].variable,l=this.accumulatedSecondMoment[a].variable,u=No(Do(o,this.beta1),Do(i,1-this.beta1)),c=No(Do(l,this.beta2),Do(Fo(i),1-this.beta2)),h=Ao(u,n),f=Ao(c,r);o.assign(u),l.assign(c);const d=No(Do(Ao(h,No(To(f),this.epsilon)),-this.learningRate),s);s.assign(d)})),this.accBeta1.assign(Do(this.accBeta1,this.beta1)),this.accBeta2.assign(Do(this.accBeta2,this.beta2))})),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&mo(this.accumulatedFirstMoment.map((e=>e.variable))),null!=this.accumulatedSecondMoment&&mo(this.accumulatedSecondMoment.map((e=>e.variable)))}async getWeights(){const e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map((e=>({name:e.originalName,tensor:e.variable}))))}async setWeights(e){e=await this.extractIterations(e),po((()=>{this.accBeta1.assign(Go(this.beta1,this.iterations_+1)),this.accBeta2.assign(Go(this.beta2,this.iterations_+1))}));const t=e.length/2;this.accumulatedFirstMoment=e.slice(0,t).map((e=>({originalName:e.name,variable:e.tensor.variable(!1)}))),this.accumulatedSecondMoment=e.slice(t,2*t).map((e=>({originalName:e.name,variable:e.tensor.variable(!1)})))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}}Ko.className="Adam",Gi(Ko);const qo=Za({abs_:function(e){const t=qa(e,"x","abs");if("complex64"===t.dtype){const e={x:t};return Wa.runKernel(bt,e)}{const e={x:t};return Wa.runKernel(Ge,e)}}});function Yo(e,t){const n=e.length,r=[];for(let a=0;a1&&1===i&&r.unshift(s)}return r}function Jo(e,t){const n=[];for(let r=0;r1)&&n.unshift(s)}return n}function Zo(e,t){const n=[],r=Math.max(e.length,t.length);for(let a=0;a{this.iteration=Wo(0).variable(),this.accBeta1=Wo(t).variable()})),null==r&&(this.epsilon=Wa.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map((e=>e.name)):Object.keys(e);po((()=>{const n=Xo(1,this.accBeta1),r=Ao(-this.learningRate,No(Do(this.iteration,this.decay),1));t.forEach(((t,a)=>{const s=Wa.registeredVariables[t];null==this.accumulatedFirstMoment[a]&&(this.accumulatedFirstMoment[a]={originalName:`${t}/m`,variable:Ro(s).variable(!1)}),null==this.accumulatedWeightedInfNorm[a]&&(this.accumulatedWeightedInfNorm[a]={originalName:`${t}/v`,variable:Ro(s).variable(!1)});const i=Array.isArray(e)?e[a].tensor:e[t];if(null==i)return;const o=this.accumulatedFirstMoment[a].variable,l=this.accumulatedWeightedInfNorm[a].variable,u=No(Do(o,this.beta1),Do(i,1-this.beta1)),c=Do(l,this.beta2),h=qo(i),f=Qo(c,h);o.assign(u),l.assign(f);const d=No(Do(Ao(r,n),Ao(u,No(f,this.epsilon))),s);s.assign(d)})),this.iteration.assign(No(this.iteration,1)),this.accBeta1.assign(Do(this.accBeta1,this.beta1))})),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&mo(this.accumulatedFirstMoment.map((e=>e.variable))),null!=this.accumulatedWeightedInfNorm&&mo(this.accumulatedWeightedInfNorm.map((e=>e.variable)))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}}el.className="Adamax",Gi(el);class tl extends Uo{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map((e=>e.name)):Object.keys(e)).forEach(((t,n)=>{const r=Array.isArray(e)?e[n].tensor:e[t];if(null==r)return;const a=Wa.registeredVariables[t];po((()=>{const e=No(Do(this.c,r),a);a.assign(e)}))})),this.incrementIterations()}setLearningRate(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=go(Wo(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(0!==(e=await this.extractIterations(e)).length)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}}tl.className="SGD",Gi(tl);class nl extends tl{constructor(e,t,n=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=Wo(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map((e=>e.name)):Object.keys(e)).forEach(((t,n)=>{const r=Wa.registeredVariables[t];if(null==this.accumulations[n]){const e=!1;this.accumulations[n]={originalName:`${t}/momentum`,variable:po((()=>Ro(r).variable(e)))}}const a=this.accumulations[n].variable,s=Array.isArray(e)?e[n].tensor:e[t];null!=s&&po((()=>{let e;const t=No(Do(this.m,a),s);e=this.useNesterov?No(Do(this.c,No(s,Do(t,this.m))),r):No(Do(this.c,t),r),a.assign(t),r.assign(e)}))})),this.incrementIterations()}dispose(){this.m.dispose(),null!=this.accumulations&&mo(this.accumulations.map((e=>e.variable)))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map((e=>({name:e.originalName,tensor:e.variable}))))}async setWeights(e){e=await this.extractIterations(e),this.accumulations=e.map((e=>({originalName:e.name,variable:e.tensor.variable(!1)})))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}}nl.className="Momentum",Gi(nl);class rl extends Uo{constructor(e,t=.9,n=0,r=null,a=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=r,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=a,null==r&&(this.epsilon=Wa.backend.epsilon()),null==e)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){(Array.isArray(e)?e.map((e=>e.name)):Object.keys(e)).forEach(((t,n)=>{const r=Wa.registeredVariables[t],a=!1;null==this.accumulatedMeanSquares[n]&&(this.accumulatedMeanSquares[n]={originalName:`${t}/rms`,variable:po((()=>Ro(r).variable(a)))}),null==this.accumulatedMoments[n]&&(this.accumulatedMoments[n]={originalName:`${t}/momentum`,variable:po((()=>Ro(r).variable(a)))}),null==this.accumulatedMeanGrads[n]&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${t}/mg`,variable:po((()=>Ro(r).variable(a)))});const s=Array.isArray(e)?e[n].tensor:e[t];if(null==s)return;const i=this.accumulatedMeanSquares[n].variable,o=this.accumulatedMoments[n].variable;po((()=>{const e=No(Do(i,this.decay),Do(Fo(s),1-this.decay));if(this.centered){const t=this.accumulatedMeanGrads[n].variable,a=No(Do(t,this.decay),Do(s,1-this.decay)),l=Ao(Do(s,this.learningRate),To(Xo(e,No(Fo(a),this.epsilon)))),u=No(Do(o,this.momentum),l);i.assign(e),t.assign(a),o.assign(u);const c=Xo(r,u);r.assign(c)}else{const e=No(Do(i,this.decay),Do(Fo(s),1-this.decay)),t=No(Do(o,this.momentum),Ao(Do(s,this.learningRate),To(No(e,this.epsilon))));i.assign(e),o.assign(t);const n=Xo(r,t);r.assign(n)}}))})),this.incrementIterations()}dispose(){null!=this.accumulatedMeanSquares&&mo(this.accumulatedMeanSquares.map((e=>e.variable))),null!=this.accumulatedMeanGrads&&this.centered&&mo(this.accumulatedMeanGrads.map((e=>e.variable))),null!=this.accumulatedMoments&&mo(this.accumulatedMoments.map((e=>e.variable)))}async getWeights(){const e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map((e=>({name:e.originalName,tensor:e.variable}))))}async setWeights(e){e=await this.extractIterations(e);const t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map((e=>({originalName:e.name,variable:e.tensor.variable(n)}))),this.accumulatedMoments=e.slice(t,2*t).map((e=>({originalName:e.name,variable:e.tensor.variable(n)}))),this.centered&&(this.accumulatedMeanGrads=e.slice(2*t,3*t).map((e=>({originalName:e.name,variable:e.tensor.variable(n)}))))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}}rl.className="RMSProp",Gi(rl);const al=Za({acos_:function(e){const t={x:qa(e,"x","acos")};return Wa.runKernel(Xe,t)}}),sl=Za({acosh_:function(e){const t={x:qa(e,"x","acosh")};return Wa.runKernel(Ke,t)}}),il=Za({addN_:function(e){Q(Array.isArray(e),(()=>"The argument passed to tf.addN() must be a list of tensors")),Q(e.length>=1,(()=>`Must pass at least one tensor to tf.addN(), but got 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t={x:qa(e,"x","atan")};return Wa.runKernel(rt,t)}}),pl=Za({atan2_:function(e,t){let n=qa(e,"a","atan2"),r=qa(t,"b","atan2");[n,r]=Fa(n,r);const a={a:n,b:r};return Wa.runKernel(st,a)}}),ml=Za({atanh_:function(e){const t={x:qa(e,"x","atanh")};return Wa.runKernel(at,t)}});function gl(e,t,n,r,a="NHWC",s){return vl(e,[...t,e[3]],n,s,r,null,null,Il(a))}function yl(e,t,n,r,a,s,i="channelsLast"){const[o,l]=xl(t);let u;if("channelsLast"===i)u=[o,l,e[3],e[3]];else{if("channelsFirst"!==i)throw new Error(`Unknown dataFormat ${i}`);u=[o,l,e[1],e[1]]}return vl(e,u,n,r,a,s,!1,i)}function bl(e,t,n,r,a,s,i="NDHWC"){const[o,l,u]=kl(t);let c,h;if("NDHWC"===i)h="channelsLast",c=[o,l,u,e[4],e[4]];else{if("NCDHW"!==i)throw new Error(`Unknown dataFormat ${i}`);h="channelsFirst",c=[o,l,u,e[1],e[1]]}return wl(e,c,n,r,a,!1,h,s)}function vl(e,t,n,r,a,s,i=!1,o="channelsLast"){let[l,u,c,h]=[-1,-1,-1,-1];if("channelsLast"===o)[l,u,c,h]=e;else{if("channelsFirst"!==o)throw new Error(`Unknown dataFormat 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${t.shape}`);if(2===e.rank&&2===t.rank)return Yh({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?cg(e.rank,r,"channelsLast"):null,activation:n});{const a=e.shape.slice(),s=a.pop();e=e.reshape([-1,s]);const i=t.shape.slice(),o=i.pop(),l=i.pop(),u=[...i,o],c=Array.from({length:t.rank},((e,n)=>0===n?t.rank-2:n<=t.rank-2?n-1:n));t=t.transpose(c).reshape([l,-1]);const h=[...a,...u];return Yh({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?cg(e.rank,r,"channelsLast"):null,activation:n}).reshape(h)}}function lg(e,t,n){return po((()=>(t=Array.isArray(t)?yh(t,"int32"):t.toInt(),Eu(e,t,n))))}function ug(e){return Do(e,e)}function cg(e,t,n){const r=t.shape;if(1!==t.rank&&t.rank!==e)throw new Yp(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${e}`);if(5===e){if("channelsFirst"===n)return 1===r.length?t.reshape([1,r[0],1,1,1]):t.reshape([1,r[3],r[0],r[1],r[2]]);if("channelsLast"===n)return 1===r.length?t.reshape([1,1,1,1,r[0]]):t.reshape([1].concat(r))}else if(4===e){if("channelsFirst"===n)return 1===r.length?t.reshape([1,r[0],1,1]):t.reshape([1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?t.reshape([1,1,1,r[0]]):t.reshape([1].concat(r))}else if(3===e){if("channelsFirst"===n)return 1===r.length?t.reshape([1,r[0],1]):t.reshape([1,r[1],r[0]]);if("channelsLast"===n)return 1===r.length?t.reshape([1,1,r[0]]):t.reshape([1].concat(r))}else if(e<3)return t;throw new Yp(`Unsupported input rank by biasAdd: ${t.rank}`)}function hg(e,t,n){return po((()=>(null==n&&(n="channelsLast"),Pm(n),e.add(cg(e.rank,t,n)))))}function fg(e,t,n,r){return po((()=>$h(e,t,n,r)))}function dg(e,t,n=!1){return n?e():t()}const pg=["fanIn","fanOut","fanAvg"],mg=["normal","uniform","truncatedNormal"];class gg extends ji{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}}class yg extends gg{apply(e,t){return oc(e,t)}}yg.className="Zeros",Gi(yg);class bg extends gg{apply(e,t){return lc(e,t)}}bg.className="Ones",Gi(bg);class vg extends gg{constructor(e){if(super(),"object"!=typeof e)throw new Yp(`Expected argument of type ConstantConfig but got ${e}`);if(void 0===e.value)throw new Yp(`config must have value set but got ${e}`);this.value=e.value}apply(e,t){return po((()=>Do(Wo(this.value),lc(e,t))))}getConfig(){return{value:this.value}}}vg.className="Constant",Gi(vg);class wg extends gg{constructor(e){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=e.minval||this.DEFAULT_MINVAL,this.maxval=e.maxval||this.DEFAULT_MAXVAL,this.seed=e.seed}apply(e,t){return Bc(e,this.minval,this.maxval,t)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}}wg.className="RandomUniform",Gi(wg);class _g extends gg{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new Jp(`randomNormal does not support dType ${t}.`);return ig(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}_g.className="RandomNormal",Gi(_g);class xg extends gg{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new Jp(`truncatedNormal does not support dType ${t}.`);return kh(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}xg.className="TruncatedNormal",Gi(xg);class kg extends gg{constructor(e){super(),this.gain=null!=e.gain?e.gain:1}apply(e,t){return po((()=>{if(2!==e.length||e[0]!==e[1])throw new Yp("Identity matrix initializer can only be used for 2D square matrices.");return Do(this.gain,xu(e[0]))}))}getConfig(){return{gain:this.gain}}}kg.className="Identity",Gi(kg);class Eg extends gg{constructor(e){if(super(),e.scale<0)throw new Yp(`scale must be a positive float. Got: ${e.scale}`);var t;this.scale=null==e.scale?1:e.scale,this.mode=null==e.mode?"fanIn":e.mode,t=this.mode,dm(pg,"FanMode",t),this.distribution=null==e.distribution?"normal":e.distribution,function(e){dm(mg,"Distribution",e)}(this.distribution),this.seed=e.seed}apply(e,t){const n=function(e,t="channelsLast"){let n,r;if(Pm(t),2===e.length)n=e[0],r=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if("channelsFirst"===t){const t=Xm(e,2);n=e[1]*t,r=e[0]*t}else if("channelsLast"===t){const t=Xm(e,0,e.length-2);n=e[e.length-2]*t,r=e[e.length-1]*t}}else{const t=Xm(e);n=Math.sqrt(t),r=Math.sqrt(t)}return[n,r]}(e),r=n[0],a=n[1];let s=this.scale;if("fanIn"===this.mode?s/=Math.max(1,r):"fanOut"===this.mode?s/=Math.max(1,a):s/=Math.max(1,(r+a)/2),"normal"===this.distribution){const n=Math.sqrt(s);if("float32"!==(t=t||"float32")&&"int32"!==t)throw new Jp(`${this.getClassName()} does not support dType ${t}.`);return kh(e,0,n,t,this.seed)}{const n=Math.sqrt(3*s);return Bc(e,-n,n,t)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}}Eg.className="VarianceScaling",Gi(Eg);class Cg extends Eg{constructor(e){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Cg.className="GlorotUniform",Gi(Cg);class Sg extends Eg{constructor(e){super({scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Sg.className="GlorotNormal",Gi(Sg);class Ng extends Eg{constructor(e){super({scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Ng.className="HeNormal",Gi(Ng);class Ig extends Eg{constructor(e){super({scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Ig.className="HeUniform",Gi(Ig);class Ag extends Eg{constructor(e){super({scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Ag.className="LeCunNormal",Gi(Ag);class Dg extends Eg{constructor(e){super({scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}getClassName(){return Eg.className}}Dg.className="LeCunNormal",Gi(Dg);class Tg extends gg{constructor(e){if(super(),this.DEFAULT_GAIN=1,this.gain=null==e.gain?this.DEFAULT_GAIN:e.gain,this.seed=e.seed,null!=this.seed)throw new Jp("Random seed is not implemented for Orthogonal Initializer yet.")}apply(e,t){return po((()=>{if(e.length<2)throw new Jp("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${e[0]*e[1]}) elements: Slowness may result.`);const t=ig(e[0]>e[1]?[e[1],e[0]]:e,0,1,"float32");let n=Wf.gramSchmidt(t);return e[0]>e[1]&&(n=n.transpose()),Do(this.gain,n)}))}getConfig(){return{gain:this.gain,seed:this.seed}}}Tg.className="Orthogonal",Gi(Tg);const Fg={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Rg(e,t={}){return um(e,Hi.getMap().classNameMap,t,"initializer")}function Og(e){return om(e)}function Mg(e){if("string"==typeof e){const t=e in Fg?Fg[e]:e;if("GlorotNormal"===t)return new Sg;if("GlorotUniform"===t)return new Cg;if("HeNormal"===t)return new Ng;if("HeUniform"===t)return new Ig;if("LeCunNormal"===t)return new Ag;if("LeCunUniform"===t)return new Dg;{const e={};return e.className=t,e.config={},Rg(e)}}return e instanceof gg?e:Rg(e)}function Bg(){return new yg}function $g(){return new bg}function Pg(e){return new vg(e)}function Lg(e){return new wg(e)}function zg(e){return new _g(e)}function Wg(e){return new xg(e)}function Ug(e){return new kg(e)}function Vg(e){return new Eg(e)}function jg(e){return new Cg(e)}function Hg(e){return new Sg(e)}function Gg(e){return new Ng(e)}function Xg(e){return new Ig(e)}function Kg(e){return new Ag(e)}function qg(e){return new Dg(e)}function Yg(e){return new Tg(e)}let Jg=0;function Zg(){return Jg++}const Qg={};function ey(e=""){return e in Qg||(Qg[e]=0),Qg[e]+=1,e+Qg[e].toString()}function ty(e){return Array.isArray(e)&&Array.isArray(e[0])}function ny(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function ry(e){let t;if(Array.isArray(e)){if(1!==e.length)throw new Yp(`Expected Tensor length to be 1; got ${e.length}`);t=e[0]}else t=e;return t}function ay(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return(e=e)[0];throw new Yp(`Expected exactly 1 Shape; got ${e.length}`)}return e}function sy(e){let t=0;for(const n of e)0===n.shape.length?t+=1:t+=n.shape.reduce(((e,t)=>e*t));return t}class iy{constructor(e,t="float32",n="Variable",r=!0,a=null){this.dtype=null==t?"float32":t,this.shape=e.shape,this.id=Zg(),n=null==n?"Variable":n,this.originalName=Vm(n),this.name=jm(this.originalName),this.trainable_=r,this.constraint=a,this.val=Nh(e,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(e){return this.assertNotDisposed(),function(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(e){this.trainable_=e,this.val.trainable=e}}function oy(e){return e.map((e=>e.read()))}function ly(e){e.forEach((e=>{e[0].write(e[1])}))}class uy{constructor(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}}class cy{constructor(e,t,n,r,a,s,i){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=r,this.callArgs=a,this.outputTensorIndex=i,this.id=Zg(),null!=s&&(this.originalName=Vm(s),this.name=jm(this.originalName)),this.rank=t.length}}let hy=0;class fy{constructor(e,t){this.callArgs=t,this.id=hy++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(const t of e.inboundLayers)null!=t&&t.outboundNodes.push(this);e.outboundLayer.inboundNodes.push(this)}getConfig(){const e=[];for(const t of this.inboundLayers)null!=t?e.push(t.name):e.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}let dy=0;class py extends ji{constructor(e={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=dy++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let t=e.name;if(!t){const e=this.getClassName();t=am(e)+"_"+ey(e)}if(this.name=t,this.trainable_=null==e.trainable||e.trainable,null!=e.inputShape||null!=e.batchInputShape){let t;if(null!=e.batchInputShape)t=e.batchInputShape;else if(null!=e.inputShape){let n=null;null!=e.batchSize&&(n=e.batchSize),t=[n].concat(e.inputShape)}this.batchInputShape=t;let n=e.dtype;null==n&&(n=e.inputDType),null==n&&(n="float32"),this.dtype=n}null!=e.weights?this.initialWeights=e.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(e,t){return e.name+"_ib-"+t.toString()}getNodeAtIndex(e,t){if(0===this.inboundNodes.length)throw new qp(`The layer has never been called and thus has no defined ${t}.`);if(this.inboundNodes.length<=e)throw new Yp(`Asked to get ${t} at node ${e}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[e]}getInputAt(e){return nm(this.getNodeAtIndex(e,"input").inputTensors)}getOutputAt(e){return nm(this.getNodeAtIndex(e,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new Kp(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(0===this.inboundNodes.length)throw new Kp(`Layer ${this.name} is not connected, no input to return.`);return nm(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(0===this.inboundNodes.length)throw new Kp(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new Kp(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return nm(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map((e=>e()))}get updates(){return this._updates}get built(){return this._built}set built(e){this._built=e}get trainable(){return this.trainable_}set trainable(e){this._trainableWeights.forEach((t=>t.trainable=e)),this.trainable_=e}get trainableWeights(){return this.trainable_?this._trainableWeights.filter((e=>e.trainable)):[]}set trainableWeights(e){this._trainableWeights=e}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter((e=>!e.trainable)).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(e){this._nonTrainableWeights=e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(e){if(e=rm(e),null==this.inputSpec||0===this.inputSpec.length)return;const t=rm(this.inputSpec);if(e.length!==t.length)throw new Yp(`Layer ${this.name} expects ${t.length} inputs, but it received ${e.length} input tensors. Input received: ${e}`);for(let n=0;na.maxNDim)throw new Yp(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${a.maxNDim}, found ndim=${s}`);if(null!=a.minNDim&&s=0?e[r]:e[e.length+r];if(null!=s&&-1===[s,null].indexOf(i))throw new Yp(`Input ${n} is incompatible with layer ${this.name}: expected axis ${r} of input shape to have value ${s} but got shape ${e}.`)}}if(null!=a.shape)for(let e=0;e{if(!this.built){this.assertInputCompatibility(e);const t=[];for(const n of rm(e))t.push(n.shape);this.build(nm(t)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),null===this._refCount&&a&&(this._refCount=1)}if(this.assertInputCompatibility(e),a){let r=this.call(e,t);const a=rm(r),s=[];for(let e of a)-1!==n.indexOf(e)&&(e=e.clone()),s.push(e);if(r=nm(s),null!=this.activityRegularizer)throw new Jp("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return r}{const n=function(e){e=rm(e);const t=[];for(const n of e)t.push(n.shape);return nm(t)}(e),r=this.computeOutputShape(n);let a;const s="float32";if(this.warnOnIncompatibleInputShape(Array.isArray(e)?n[0]:n),a=null!=r&&r.length>0&&Array.isArray(r[0])?r.map(((n,r)=>new cy(s,n,this,rm(e),t,this.name,r))):new cy(s,r,this,rm(e),t,this.name),this.addInboundNode(e,a,null,null,n,r,t),this._refCount++,null!=this.activityRegularizer)throw new Jp("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return a}}))}warnOnIncompatibleInputShape(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(e)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let t=!1;this.batchInputShape.forEach(((n,r)=>{null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)})),t&&console.warn(`The shape of the input tensor (${JSON.stringify(e)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new Kp(`The layer ${this.name} has never been called and thus has no defined output shape.`);const e=[];for(const t of this.inboundNodes){const n=JSON.stringify(t.outputShapes);-1===e.indexOf(n)&&e.push(n)}if(1===e.length){const e=this.inboundNodes[0].outputShapes;return Array.isArray(e)&&Array.isArray(e[0])&&1===e.length?e[0]:e}throw new Kp(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new qp(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return sy(this.weights)}build(e){this.built=!0}getWeights(e=!1){return oy(e?this.trainableWeights:this.weights)}setWeights(e){po((()=>{const t=this.weights;if(t.length!==e.length)throw new Yp(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${e.length}, but the layer was expecting ${t.length} weights. Provided weights: ${e}...`);if(0===t.length)return;const n=[],r=oy(t);for(let a=0;aa.apply(l.read()))),null==s&&(s=!0),s?this._trainableWeights.push(l):this._nonTrainableWeights.push(l),l}setFastWeightInitDuringBuild(e){this.fastWeightInitDuringBuild=e}addLoss(e){null==e||Array.isArray(e)&&0===e.length||(e=rm(e),void 0!==this._losses&&null!==this._losses&&this.losses.push(...e))}computeOutputShape(e){return e}computeMask(e,t){if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);t.forEach((e=>{if(null!=e)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)}))}return null}return t}addInboundNode(e,t,n,r,a,s,i=null){const o=rm(e);t=rm(t),n=rm(n),r=rm(r),a=ny(a),s=ny(s);const l=[],u=[],c=[];for(const e of o)l.push(e.sourceLayer),u.push(e.nodeIndex),c.push(e.tensorIndex);new fy({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:c,inputTensors:o,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:s},i);for(let e=0;ee.dispose())),this.weights.length}assertNotDisposed(){if(0===this._refCount)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(null===this._refCount)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}}function my(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];{const e=t.inboundNodes[n];if(0===e.inboundLayers.length)return e.inputTensors;{const t=[];for(let n=0;n0){const a=await Promise.all(t);for(let t=0;tNo(this.totals[e],Do(r,n))));this.totals[e]=a,null!=t&&t.dispose()}}}async onEpochEnd(e,t){if(null!=t)for(const e of this.params.metrics)null!=this.totals[e]&&("number"==typeof this.totals[e]?t[e]=this.totals[e]/this.seen:po((()=>{const n=Do(Ao(1,this.seen),this.totals[e]);t[e]=n,this.totals[e].dispose(),go(t[e])})))}}class Ey extends _y{async onTrainBegin(e){this.epoch=[],this.history={}}async onEpochEnd(e,t){null==t&&(t={}),this.epoch.push(e);for(const e in t)null==this.history[e]&&(this.history[e]=[]),this.history[e].push(t[e])}async syncData(){const e=[],t=[],n=[];for(const r in this.history){const a=this.history[r];for(let s=0;s{const s=sa();return s-rnew Cy(e,t)))}class Ny{constructor(){}static registerCallbackConstructor(e,t){Q(e>=0&&Number.isInteger(e),(()=>`Verbosity level is expected to be an integer >= 0, but got ${e}`)),Ny.checkForDuplicate(t),null==Ny.constructors[e]&&(Ny.constructors[e]=[]),Ny.constructors[e].push(t)}static checkForDuplicate(e){for(const t in 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Do(100,ic(a,-1))}))}function Oy(e,t,n=!1){return po((()=>{if(n)t=sh(t);else{const e=Uu(t,t.shape.length-1,!0);t=Ao(t,e)}return t=Hl(t,Xp(),1-Xp()),Pu(Uu(Do(e.toFloat(),Bu(t)),t.shape.length-1))}))}function My(e,t,n=!1){return po((()=>{const r=ku(function(e){const t=[Xm(e.shape)];return e.reshape(t)}(e)).toInt(),a=(t=Hl(t,Xp(),1-Xp())).shape;return Oy(mi(r,a[a.length-1]).reshape(a),t,n)}))}function By(e,t){return po((()=>{let n;return n=Hl(t,Xp(),1-Xp()),n=Bu(Ao(n,Xo(1,n))),ic(function(e,t){if(!se(e.shape,t.shape))throw new Yp(`logits and labels must have the same shape, but got shapes ${JSON.stringify(e.shape)} and ${JSON.stringify(t.shape)}`);return po((()=>{const n=t.relu(),r=t.abs().neg();return n.sub(t.mul(e)).add(r.exp().log1p())}))}(e,n),-1)}))}function $y(e,t){return po((()=>{const n=Dy(e,-1),r=Dy(t,-1),a=Do(n,r);return Pu(Uu(a,-1))}))}Ny.constructors={};const 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ic(Xo(t,Do(e,n)),-1)}))},cosineProximity:$y};function Ly(e){if("string"==typeof e){if(e in Py)return Py[e];let t=`Unknown loss ${e}`;throw e.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${e}. 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All outputs should only appear once. Found: ${this.outputs.map((e=>e.name))}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(const e of this.outputs){const t=e.sourceLayer,n=e.nodeIndex,r=e.tensorIndex;this.outputLayers.push(t),this.outputLayersNodeIndices.push(n),this.outputLayersTensorIndices.push(r)}for(const e of this.inputs){const t=e.sourceLayer,n=e.nodeIndex,r=e.tensorIndex;em(0===n,"input layer has >1 nodes"),em(0===r,"input layer has >1 tensors"),this.inputLayers.push(t),this.inputLayersNodeIndices.push(n),this.inputLayersTensorIndices.push(r)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let t=0;te.shape)),this.internalOutputShapes=this.outputs.map((e=>e.shape));const t={},n={},r={},a={},s={},i=[],o=(e,t,n,r,a,l)=>{null!=r&&null!=a&&null!=l||(r=e.sourceLayer,a=e.nodeIndex,l=e.tensorIndex);const u=r.inboundNodes[a];if(-1!==n.indexOf(u))throw new qp(`The tensor ${e.name} at layer "${r.name}" is part of a cycle.`);if(-1!==t.indexOf(u))return;this.containerNodes.add(db.nodeKey(r,a)),r.id in s||(s[r.id]=Object.keys(s).length),-1===n.indexOf(u)&&n.push(u);const c=u.inboundLayers.length;for(let e=0;e=0;)n.splice(n.indexOf(u),1);i.push(u)},l=[],u=[];for(const e of this.outputs)o(e,l,u);const c=i.slice().reverse();for(const e of c){n[e.id]=e,e.id in t||(t[e.id]=0);let s=t[e.id];const i=null==r[e.outboundLayer.id]?0:r[e.outboundLayer.id];s=Math.max(s,i),r[e.outboundLayer.id]=s,a[e.outboundLayer.id]=e.outboundLayer,t[e.id]=s;for(let r=0;rparseInt(e,10))).sort(cm);this.layers=[];for(const e of d){const t=f[e];t.sort(((e,t)=>{const n=s[e.id],r=s[t.id];return nr?1:0}));for(const e of t)e instanceof db&&this.internalContainerRefs.push(e),this.layers.push(e)}this.layersByDepth=f,d=Object.keys(h).map((e=>parseInt(e,10))).sort(cm);const p=this.inputs.slice(),m=[];for(const e of d)for(const t of h[e]){const e=t.outboundLayer;if(null!=e){for(const n of t.inputTensors)if(-1===p.indexOf(n))throw new qp(`Graph disconnected: cannot obtain value for tensor ${n} at layer "${e.name}". The following previous layers were accessed without issue: ${m}`);for(const e of t.outputTensors)p.push(e);m.push(e.name)}}this.nodesByDepth=h;const g=this.layers.map((e=>e.name));for(const e of g){const t=g.filter((t=>t===e)).length;if(1!==t)throw new qp(`The name "${e}" is used ${t} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(g))}this.outboundNodes=[],this.inboundNodes=[],new fy({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map((e=>null)),outputMasks:this.outputs.map((e=>null)),inputShapes:this.inputs.map((e=>e.shape)),outputShapes:this.outputs.map((e=>e.shape))}),this.built=!0,this._refCount=1}assertNotDisposed(){if(0===this._refCount)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();const e={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount){for(const t of this.layers)e.numDisposedVariables+=t.dispose().numDisposedVariables;for(const t of this.internalContainerRefs)e.numDisposedVariables+=t.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e}get trainable(){return this.trainable_}set trainable(e){this.layers.forEach((t=>{t._trainableWeights.forEach((t=>t.trainable=e))})),this.trainable_=e}get trainableWeights(){if(this._trainableWeights.length>0)throw new Yp("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let e=[];for(const t of this.layers)e=e.concat(t.trainableWeights);return e}get nonTrainableWeights(){const e=[];for(const t of this.layers)e.push(...t.nonTrainableWeights);if(!this.trainable){const t=[];for(const e of this.layers)t.push(...e.trainableWeights);return t.concat(e)}return e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(e,t=!0){const n={};let r=0;for(const e of this.layers)for(const t of e.weights){if(null!=n[t.originalName])throw new Yp(`Duplicate weight name: ${t.originalName}`);n[t.originalName]=t,r++}const a=[];for(const r in e){let s=r;if(null==n[r]){const e=r.split("/");s=e.slice(0,-2).concat([e[e.length-1]]).join("/")}if(null!=n[s])a.push([n[s],e[r]]);else if(t)throw new Yp(`Provided weight data has no target variable: ${r}`);delete n[s]}if(t){const e=[];for(const t in n)e.push(t);if(e.length>0)throw new Yp(`${e.length} of ${r} weights are not set: ${e}`)}ly(a)}updatedConfig(){const e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion=`tfjs-layers ${sb}`,t.backend="TensorFlow.js",t}toJSON(e,t=!0){const n=ab(this.updatedConfig());return t?JSON.stringify(n):n}call(e,t){return po((()=>{e=rm(e);const n=new ib;for(let t=0;t{let n;return e=rm(e),n=null==t?Qp(null,e.length):rm(t),this.runInternalGraph(e,n)[1]}))}computeOutputShape(e){const t=ny(e);if(t.length!==this.inputLayers.length)throw new Yp(`Invalid inputShape argument ${e}: model has ${this.inputLayers.length} tensor inputs.`);const n={};for(let e=0;eparseInt(e,10))).sort(cm);if(r.length>1)for(const e of r){const t=this.nodesByDepth[e];for(const e of t){const t=e.outboundLayer;if(-1!==this.inputLayers.map((e=>e.id)).indexOf(t.id))continue;const r=[];for(let t=0;tparseInt(e,10))).sort(cm);for(const e of r){const t=this.nodesByDepth[e];for(const e of t){const t=e.outboundLayer,r=e.inputTensors,a=e.outputTensors,s=new Array;for(const e of r)e.id in n&&s.push(n[e.id]);if(s.length===r.length){let r,i,o,l,u={};if(null!=e.callArgs&&(u=e.callArgs),1===s.length){const[e,n]=s[0];null==u.mask&&(u.mask=n),o=rm(t.call(e,u)),l=rm(t.computeMask(e,n)),r=[e],i=[n]}else r=s.map((e=>e[0])),i=s.map((e=>e[1])),null==u.mask&&(u.mask=i),o=rm(t.call(r,u)),l=rm(t.computeMask(r,i));if(t.activityRegularizer)throw new Jp("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let e=0;e{const e=[];for(const t of this.layers)for(let n=0;n0){const e=[];for(let n=0;n0&&e.apply(nm(n),r)}function l(e){const n=e.name,s=Ay(e,null!=t.customObjects?t.customObjects:{});s.setFastWeightInitDuringBuild(r),a[n]=s,e.inboundNodes.forEach((e=>{if(!(e instanceof Array))throw new Yp(`Corrupted configuration, expected array for nodeData: ${e}`);i(s,e)}))}const u=t.name,c=t.layers;for(const e of c)l(e);for(;!fm(s);)for(const e of c){const t=a[e.name];if(t.name in s){const e=s[t.name];delete s[t.name];for(const n of e)o(t,n)}}const h=[],f=[],d=t.inputLayers;for(const e of d){const t=e[0],n=e[1],r=e[2];em(t in a);const s=a[t].inboundNodes[n].outputTensors;h.push(s[r])}const p=t.outputLayers;for(const e of p){const t=e[0],n=e[1],r=e[2];em(t in a);const s=a[t].inboundNodes[n].outputTensors;f.push(s[r])}return new e({inputs:h,outputs:f,name:u})}get stateful(){if(this._stateful)throw new Yp("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(const e of this.layers)if(e.stateful)return!0;return!1}resetStates(){po((()=>{this.layers.forEach((e=>{e.stateful&&e.resetStates()}))}))}}function pb(e,t){return function(e,t,n){const r=t.length;if(null==e||Array.isArray(e)&&0===e.length)return t.map((e=>null));if(1===r)return Array.isArray(e)&&1===e.length?e:"object"==typeof e&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==r)throw new Error(`Provided ${n} is an array of ${e.length} element(s), but the model has ${r} outputs. Make sure a set of weights is provided for each model output.`);return e}if("object"==typeof e&&Object.keys(e).length>0&&"object"==typeof e[Object.keys(e)[0]]){const n=[];return t.forEach((t=>{t in e?n.push(e[t]):n.push(null)})),n}throw new Error(`The model has multiple (${r}) outputs, so ${n} must be either an array with ${r} elements or an object with ${t} keys. 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For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=my(this.outputs[0])}this.inboundNodes=[],new fy({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:Qp(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map((e=>e.shape)),outputShapes:this.outputs[0].shape})}else{const t=e.apply(this.outputs[0]);if(Array.isArray(t))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[t],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1}pop(){if(0===this.layers.length)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{const e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(e,t){return null==this.model&&this.build(),this.model.call(e,t)}build(e){if(ay(e),0===this.inputs.length||0===this.outputs.length)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new Db({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(e,t,n=console.log){this.built||this.build(),super.summary(e,t,n)}setWeights(e){null==this.model&&this.build(),this.model.setWeights(e)}evaluate(e,t,n={}){if(!this.built)throw new qp("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)}async evaluateDataset(e,t){if(!this.built)throw new qp("The model needs to be compiled before being used.");return this.model.evaluateDataset(e,t)}predict(e,t={}){return null==this.model&&this.build(),this.model.predict(e,t)}predictOnBatch(e){return null==this.model&&this.build(),this.model.predictOnBatch(e)}compile(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return null==this.model?void 0:this.model.optimizer}set optimizer(e){this.model.optimizer=e}async fit(e,t,n={}){if(!this.built)throw new qp("The model needs to be compiled before being used.");return this.model.fit(e,t,n)}async fitDataset(e,t){if(!this.built)throw new qp("The model needs to be compiled before being used.");return this.model.fitDataset(e,t)}async trainOnBatch(e,t){return this.model.trainOnBatch(e,t)}static fromConfig(e,t,n={},r=!1){let a,s={};if(t instanceof Array){if(null==t[0].className||"Merge"===t[0].className)throw new Yp("Legacy serialization format not supported yet.");a=t}else Q(null!=t.layers,(()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field.")),a=t.layers,delete t.layers,s=t;const i=new e(s);if(!(i instanceof Rb))throw new Jp(`Sequential.fromConfig called on non-Sequential input: ${i}`);for(const e of a){const t=Ay(e,void 0,r);r&&t.setFastWeightInitDuringBuild(!0),i.add(t)}return i}set stopTraining(e){if(null==this.model)throw new Yp("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}get stopTraining(){if(null==this.model)throw new Yp("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){const e=[];for(const t of this.layers){const n={};n.className=t.getClassName(),n.config=t.getConfig(),e.push(n)}return{name:this.name,layers:e}}}function Ob(e){return new Db(e)}function Mb(e){return new Rb(e)}function Bb(e,t){return null==t&&(t={}),async function(e,t){if(null==t&&(t={}),"string"==typeof e){const n=gs(e,t);if(0===n.length)n.push(ui(e,t));else if(n.length>1)throw new Yp(`Found more than one (${n.length}) load handlers for URL '${e}'`);e=n[0]}return async function(e,t,n){if(null==n&&(n={}),null==e.load)throw new Yp("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");const r=await e.load();let a=r.modelTopology;null!=a.model_config&&(a=a.model_config);const s=null==n.strict||n.strict,i=null!=r.weightData&&null!=r.weightSpecs&&s,o=Ay(rb(a),void 0,i),l=r.trainingConfig;if(null!=l&&o.loadTrainingConfig(l),null!=r.userDefinedMetadata&&o.setUserDefinedMetadata(r.userDefinedMetadata),null!=r.weightData){if(null==r.weightSpecs)throw new Yp("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");const{modelWeights:e,optimizerWeights:t}=function(e,t){const n=as(e,t),r={},a=[];return t.forEach((e=>{"optimizer"===e.group?a.push({name:e.name,tensor:n[e.name]}):r[e.name]=n[e.name]})),{modelWeights:r,optimizerWeights:a}}(r.weightData,r.weightSpecs);o.loadWeights(e,s),null!=o.optimizer&&t.length>0&&await o.optimizer.setWeights(t),mo(e),mo(t.map((e=>e.tensor)))}return o}(e,0,t)}(e,t)}function $b(e){return yy(e)}function Pb(e,t){Ny.registerCallbackConstructor(e,t)}Rb.className="Sequential",Gi(Rb);class Lb extends ji{getConfig(){return{}}}class zb extends Lb{apply(e,t=1){return function(e,t=1){if(1!==t)throw new Jp(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return gu(e)}(e,t)}}zb.className="elu",Gi(zb);class Wb extends Lb{apply(e){return qc(e)}}Wb.className="selu",Gi(Wb);class Ub extends Lb{apply(e){return zc(e)}}Ub.className="relu",Gi(Ub);class Vb extends Lb{apply(e){return po((()=>hc(6,zc(e))))}}Vb.className="relu6",Gi(Vb);class jb extends Lb{apply(e){return e}}jb.className="linear",Gi(jb);class Hb extends Lb{apply(e){return Rl(e)}}Hb.className="sigmoid",Gi(Hb);class Gb extends Lb{apply(e){return function(e){return po((()=>{const t=No(.5,Do(.2,e));return Hl(t,0,1)}))}(e)}}Gb.className="hardSigmoid",Gi(Gb);class Xb extends Lb{apply(e){return Lu(e)}}Xb.className="softplus",Gi(Xb);class Kb extends Lb{apply(e){return function(e){return po((()=>Ao(e,qo(e).add(1))))}(e)}}Kb.className="softsign",Gi(Kb);class qb extends Lb{apply(e){return Ml(e)}}qb.className="tanh",Gi(qb);class Yb extends Lb{apply(e,t=-1){return sh(e,t)}}Yb.className="softmax",Gi(Yb);class Jb extends Lb{apply(e,t=-1){return Vu(e,t)}}Jb.className="logSoftmax",Gi(Jb);class Zb extends Lb{apply(e,t=1){return po((()=>Rl(e.mul(t)).mul(e)))}}Zb.className="swish",Gi(Zb);class Qb extends Lb{apply(e){return po((()=>Do(e,Ml(Lu(e)))))}}function ev(e){return e.getClassName()}function tv(e,t={}){return um(e,Hi.getMap().classNameMap,t,"activation")}function nv(e){if(null==e){return tv({className:"linear",config:{}})}if("string"==typeof e){const t={};return t.className=e,t.config={},tv(t)}return e instanceof Lb?e:tv(e)}function rv(e){if(null!=e&&"object"!=typeof e)throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${e}`)}Qb.className="mish",Gi(Qb);class av extends ji{}class sv extends av{constructor(e){super(),rv(e),this.l1=null==e||null==e.l1?.01:e.l1,this.l2=null==e||null==e.l2?.01:e.l2,this.hasL1=0!==this.l1,this.hasL2=0!==this.l2}apply(e){return po((()=>{let t=oc([1]);return this.hasL1&&(t=No(t,Uu(Do(this.l1,qo(e))))),this.hasL2&&(t=No(t,Uu(Do(this.l2,ug(e))))),t.asScalar()}))}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(e,t){return new e({l1:t.l1,l2:t.l2})}}sv.className="L1L2",Gi(sv);const iv={l1l2:"L1L2"};function ov(e){return om(e)}function lv(e,t={}){return um(e,Hi.getMap().classNameMap,t,"regularizer")}function uv(e){return null==e?null:"string"==typeof e?lv({className:e in iv?iv[e]:e,config:{}}):e instanceof av?e:lv(e)}class cv extends py{constructor(e){super(null==e?{}:e),this.supportsMasking=!0,null!=e&&(this.maxValue=e.maxValue)}call(e,t){e=ry(e);let n=zc(e);return null!=this.maxValue&&(n=Hl(n,0,this.maxValue)),n}computeOutputShape(e){return e}getConfig(){const e={maxValue:this.maxValue},t=super.getConfig();return Object.assign(e,t),e}}cv.className="ReLU",Gi(cv);class hv extends py{constructor(e){super(null==e?{}:e),this.DEFAULT_ALPHA=.3,null==e&&(e={}),this.alpha=null==e.alpha?this.DEFAULT_ALPHA:e.alpha}call(e,t){const n=ry(e);return Tu(n,this.alpha)}computeOutputShape(e){return e}getConfig(){const e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}}hv.className="LeakyReLU",Gi(hv);class fv extends py{constructor(e){if(super(null==e?{}:e),this.DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),this.supportsMasking=!0,this.alphaInitializer=Mg(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=uv(e.alphaRegularizer),this.alphaConstraint=Nm(e.alphaConstraint),null==e.sharedAxes)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else{if("number"!=typeof e.sharedAxes)throw new Yp(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`);this.sharedAxes=[e.sharedAxes]}}build(e){const t=(e=ay(e)).slice(1);if(null!=this.sharedAxes)for(const e of this.sharedAxes)t[e-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);const n={};if(null!=this.sharedAxes)for(let t=1;t(Pm(t),"channelsFirst"===t?gi(e,[0,2,3,1]):e)))}function wv(e,t){return po((()=>(Pm(t),"channelsFirst"===t?gi(e,[0,2,3,4,1]):e)))}function _v(e,t,n,r=[1,1],a="valid",s,i,o=null){return po((()=>{if(null==s&&(s="channelsLast"),Pm(s),3!==e.rank&&4!==e.rank)throw new Yp(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${e.rank}.`);if(3!==t.rank&&4!==t.rank)throw new Yp(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${e.rank}.`);let l=vv(e,s);if("causal"===a)throw new Jp("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=Gh({x:l,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:i,dataFormat:"NHWC",bias:n,activation:o}),"channelsFirst"===s&&(l=gi(l,[0,3,1,2])),l}))}mv.className="Softmax",Gi(mv);class xv extends py{constructor(e,t){if(super(t),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",xv.verifyArgs(t),this.rank=e,mm(this.rank,"rank"),1!==this.rank&&2!==this.rank&&3!==this.rank)throw new Jp(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=gv(t.kernelSize,e,"kernelSize"),this.strides=gv(null==t.strides?1:t.strides,e,"strides"),this.padding=null==t.padding?"valid":t.padding,Lm(this.padding),this.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,Pm(this.dataFormat),this.activation=nv(t.activation),this.useBias=null==t.useBias||t.useBias,this.biasInitializer=Mg(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Nm(t.biasConstraint),this.biasRegularizer=uv(t.biasRegularizer),this.activityRegularizer=uv(t.activityRegularizer),this.dilationRate=gv(null==t.dilationRate?1:t.dilationRate,e,"dilationRate"),1===this.rank&&Array.isArray(this.dilationRate)&&1!==this.dilationRate.length)throw new Yp(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(2===this.rank){if("number"==typeof this.dilationRate)this.dilationRate=[this.dilationRate,this.dilationRate];else if(2!==this.dilationRate.length)throw new Yp(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(3===this.rank)if("number"==typeof this.dilationRate)this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(3!==this.dilationRate.length)throw new Yp(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}static verifyArgs(e){if(em("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!pm(e.kernelSize,"number",1,3))throw new Yp(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){const e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:ev(this.activation),useBias:this.useBias,biasInitializer:Og(this.biasInitializer),biasRegularizer:ov(this.biasRegularizer),activityRegularizer:ov(this.activityRegularizer),biasConstraint:Cm(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}}class kv extends xv{constructor(e,t){super(e,t),this.kernel=null,kv.verifyArgs(t),this.filters=t.filters,mm(this.filters,"filters"),this.kernelInitializer=Mg(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Nm(t.kernelConstraint),this.kernelRegularizer=uv(t.kernelRegularizer)}build(e){e=ay(e);const t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Yp(`The channel dimension of the input should be defined. Found ${e[t]}`);const n=e[t],r=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",r,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return po((()=>{let t;e=ry(e);const n=null==this.bias?null:this.bias.read(),r=ym(this.activation.getClassName());if(null!=r&&2===this.rank)t=_v(e,this.kernel.read(),n,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(1===this.rank)t=function(e,t,n,r=1,a="valid",s,i=1){return po((()=>{if(null==s&&(s="channelsLast"),Pm(s),3!==e.shape.length)throw new Yp(`The input of a conv1dWithBias operation should be 3, but is ${e.shape.length} instead.`);if(3!==t.shape.length)throw new Yp(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(null!=n&&1!==n.shape.length)throw new Yp(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if("channelsFirst"===s&&(e=gi(e,[0,2,1])),"causal"===a)throw new Jp("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=Jl(e,t,r,"same"===a?"same":"valid","NWC",i);return null!=n&&(o=hg(o,n)),o}))}(e,this.kernel.read(),n,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(2===this.rank)t=_v(e,this.kernel.read(),n,this.strides,this.padding,this.dataFormat,this.dilationRate);else{if(3!==this.rank)throw new Jp("convolutions greater than 3D are not implemented yet.");t=function(e,t,n,r=[1,1,1],a="valid",s,i){return po((()=>{if(null==s&&(s="channelsLast"),Pm(s),4!==e.rank&&5!==e.rank)throw new Yp(`conv3dWithBias expects input to be of rank 4 or 5, but received ${e.rank}.`);if(4!==t.rank&&5!==t.rank)throw new Yp(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${e.rank}.`);let o=wv(e,s);if("causal"===a)throw new Jp("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=eu(o,t,r,"same"===a?"same":"valid","NDHWC",i),null!=n&&(o=hg(o,n)),"channelsFirst"===s&&(o=gi(o,[0,4,1,2,3])),o}))}(e,this.kernel.read(),n,this.strides,this.padding,this.dataFormat,this.dilationRate)}null!=this.activation&&(t=this.activation.apply(t))}return t}))}computeOutputShape(e){e=ay(e);const t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2);for(let e=0;e 0 but got ${JSON.stringify(e.filters)}`)}}class Ev extends kv{constructor(e){super(2,e),Ev.verifyArgs(e)}getConfig(){const e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if("number"!=typeof e.kernelSize&&!pm(e.kernelSize,"number",1,2))throw new Yp(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}}Ev.className="Conv2D",Gi(Ev);class Cv extends kv{constructor(e){super(3,e),Cv.verifyArgs(e)}getConfig(){const e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new Yp(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}}Cv.className="Conv3D",Gi(Cv);class Sv extends Ev{constructor(e){if(super(e),this.inputSpec=[new uy({ndim:4})],"same"!==this.padding&&"valid"!==this.padding)throw new Yp(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(4!==(e=ay(e)).length)throw new Yp("Input should have rank 4; Received input shape: "+JSON.stringify(e));const t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Yp("The channel dimension of the inputs should be defined. Found `None`.");const n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new uy({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return po((()=>{let t=ry(e);if(4!==t.shape.length)throw new Yp(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${t.shape.length}`);const n=t.shape,r=n[0];let a,s;"channelsFirst"===this.dataFormat?(a=2,s=3):(a=1,s=2);const i=n[a],o=n[s],l=this.kernelSize[0],u=this.kernelSize[1],c=this.strides[0],h=this.strides[1],f=[r,bv(i,c,l,this.padding),bv(o,h,u,this.padding),this.filters];"channelsLast"!==this.dataFormat&&(t=gi(t,[0,2,3,1]));let d=Ql(t,this.kernel.read(),f,this.strides,this.padding);return"channelsLast"!==this.dataFormat&&(d=gi(d,[0,3,1,2])),null!=this.bias&&(d=hg(d,this.bias.read(),this.dataFormat)),null!=this.activation&&(d=this.activation.apply(d)),d}))}computeOutputShape(e){const t=(e=ay(e)).slice();let n,r,a;"channelsFirst"===this.dataFormat?(n=1,r=2,a=3):(n=3,r=1,a=2);const s=this.kernelSize[0],i=this.kernelSize[1],o=this.strides[0],l=this.strides[1];return t[n]=this.filters,t[r]=bv(t[r],o,s,this.padding),t[a]=bv(t[a],l,i,this.padding),t}getConfig(){const e=super.getConfig();return delete e.dilationRate,e}}Sv.className="Conv2DTranspose",Gi(Sv);class Nv extends Cv{constructor(e){if(super(e),this.inputSpec=[new uy({ndim:5})],"same"!==this.padding&&"valid"!==this.padding)throw new Yp(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(5!==(e=ay(e)).length)throw new Yp("Input should have rank 5; Received input shape: "+JSON.stringify(e));const t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Yp("The channel dimension of the inputs should be defined. Found `None`.");const n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new uy({ndim:5,axes:{[t]:n}})],this.built=!0}call(e,t){return po((()=>{let t=ry(e);if(5!==t.shape.length)throw new Yp(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${t.shape.length}`);const n=t.shape,r=n[0];let a,s,i;"channelsFirst"===this.dataFormat?(i=2,a=3,s=4):(i=1,a=2,s=3);const o=n[i],l=n[a],u=n[s],c=this.kernelSize[0],h=this.kernelSize[1],f=this.kernelSize[2],d=this.strides[0],p=this.strides[1],m=this.strides[2],g=[r,bv(o,d,c,this.padding),bv(l,p,h,this.padding),bv(u,m,f,this.padding),this.filters];"channelsLast"!==this.dataFormat&&(t=gi(t,[0,2,3,4,1]));let y=nu(t,this.kernel.read(),g,this.strides,this.padding);return"channelsLast"!==this.dataFormat&&(y=gi(y,[0,4,1,2,3])),null!==this.bias&&(y=hg(y,this.bias.read(),this.dataFormat)),null!==this.activation&&(y=this.activation.apply(y)),y}))}computeOutputShape(e){const t=(e=ay(e)).slice();let n,r,a,s;"channelsFirst"===this.dataFormat?(n=1,r=2,a=3,s=4):(n=4,r=1,a=2,s=3);const i=this.kernelSize[0],o=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],c=this.strides[1],h=this.strides[2];return t[n]=this.filters,t[r]=bv(t[r],u,i,this.padding),t[a]=bv(t[a],c,o,this.padding),t[s]=bv(t[s],h,l,this.padding),t}getConfig(){const e=super.getConfig();return delete e.dilationRate,e}}Nv.className="Conv3DTranspose",Gi(Nv);class Iv extends kv{constructor(e,t){if(super(e,t),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,null==t.filters)throw new Yp("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=t.kernelInitializer||null!=t.kernelRegularizer||null!=t.kernelConstraint)throw new Yp("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=t.padding&&"same"!==t.padding&&"valid"!==t.padding)throw new Yp(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,this.depthwiseInitializer=Mg(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=uv(t.depthwiseRegularizer),this.depthwiseConstraint=Nm(t.depthwiseConstraint),this.pointwiseInitializer=Mg(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=uv(t.pointwiseRegularizer),this.pointwiseConstraint=Nm(t.pointwiseConstraint)}build(e){if((e=ay(e)).length{let t;if(e=ry(e),1===this.rank)throw new Jp("1D separable convolution is not implemented yet.");return 2===this.rank&&("channelsFirst"===this.dataFormat&&(e=gi(e,[0,2,3,1])),t=Yc(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(t=hg(t,this.bias.read(),this.dataFormat)),null!=this.activation&&(t=this.activation.apply(t)),"channelsFirst"===this.dataFormat&&(t=gi(t,[0,3,1,2])),t}))}getConfig(){const e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Og(this.depthwiseInitializer),e.pointwiseInitializer=Og(this.pointwiseInitializer),e.depthwiseRegularizer=ov(this.depthwiseRegularizer),e.pointwiseRegularizer=ov(this.pointwiseRegularizer),e.depthwiseConstraint=Cm(this.depthwiseConstraint),e.pointwiseConstraint=Cm(this.pointwiseConstraint),e}}Iv.className="SeparableConv";class Av extends Iv{constructor(e){super(2,e)}}Av.className="SeparableConv2D",Gi(Av);class Dv extends kv{constructor(e){super(1,e),Dv.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){const e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if("number"!=typeof e.kernelSize&&!pm(e.kernelSize,"number",1,1))throw new Yp(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}}Dv.className="Conv1D",Gi(Dv);class Tv extends py{constructor(e){super(e),"number"==typeof e.cropping?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"==typeof e.cropping[0]?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return po((()=>{if(e=ry(e),"channelsLast"===this.dataFormat){const t=ng(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return ng(t,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}{const t=ng(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return ng(t,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}}))}getConfig(){const e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}Tv.className="Cropping2D",Gi(Tv);class Fv extends py{constructor(e){var t;super(e),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=null==e.size?this.DEFAULT_SIZE:e.size,this.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Pm(this.dataFormat),this.interpolation=null==e.interpolation?"nearest":e.interpolation,t=this.interpolation,dm(Rm,"InterpolationFormat",t)}computeOutputShape(e){if("channelsFirst"===this.dataFormat){const t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}{const t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return po((()=>{let t=ry(e);const n=t.shape;if("channelsFirst"===this.dataFormat){t=gi(t,[0,2,3,1]);const e=this.size[0]*n[2],r=this.size[1]*n[3],a="nearest"===this.interpolation?t.resizeNearestNeighbor([e,r]):t.resizeBilinear([e,r]);return gi(a,[0,3,1,2])}{const e=this.size[0]*n[1],r=this.size[1]*n[2];return"nearest"===this.interpolation?t.resizeNearestNeighbor([e,r]):t.resizeBilinear([e,r])}}))}getConfig(){const e={size:this.size,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}Fv.className="UpSampling2D",Gi(Fv);class Rv extends xv{constructor(e){super(2,e),this.depthwiseKernel=null,this.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,this.depthwiseInitializer=Mg(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Nm(e.depthwiseConstraint),this.depthwiseRegularizer=uv(e.depthwiseRegularizer)}build(e){if((e=ay(e)).length<4)throw new Yp(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);const t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new Yp(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);const n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return po((()=>{let t=function(e,t,n=[1,1],r="valid",a,s){return po((()=>{null==a&&(a="channelsLast"),Pm(a);let i=vv(e,a);if(4!==e.rank)throw new Yp(`Input for depthwiseConv2d is required to be 4-D, but is instead ${e.rank}-D`);if(4!==t.rank)throw new Yp(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=lu(i,t,n,"same"===r?"same":"valid","NHWC",s),"channelsFirst"===a&&(i=gi(i,[0,3,1,2])),i}))}(e=ry(e),this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(t=hg(t,this.bias.read(),this.dataFormat)),null!=this.activation&&(t=this.activation.apply(t)),t}))}computeOutputShape(e){e=ay(e);const t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=yv(t,this.kernelSize[0],this.padding,this.strides[0]),s=yv(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,s]:[e[0],a,s,r]}getConfig(){const e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Og(this.depthwiseInitializer),e.depthwiseRegularizer=ov(this.depthwiseRegularizer),e.depthwiseConstraint=Cm(this.depthwiseRegularizer),e}}function Ov(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new Yp("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function Mv(e,t,n,r=!1,a,s,i=!1,o=!1){return po((()=>{const l=t.shape.length;if(l<3)throw new Yp(`Input should be at least 3D, but is ${l}D.`);const u=[1,0].concat(Jm(2,l));if(t=gi(t,u),null!=s)throw new Jp("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=a.asType("bool").asType("float32")).rank===l-1&&(a=vu(a,-1)),a=gi(a,u)),r&&(t=Uc(t,0),null!=a&&(a=Uc(a,0)));const c=[];let h,f=n;const d=t.shape[0],p=Sh(t);let m,g;null!=a&&(m=Sh(a));for(let t=0;te(n,f)));if(null==a)h=r[0],f=r[1];else{const e=po((()=>{const e=m[t],n=bc(e).sub(e);return{output:r[0].mul(e).add(f[0].mul(n)),newStates:f.map(((t,a)=>r[1][a].mul(e).add(t.mul(n))))}}));h=e.output,f=e.newStates}o&&c.push(h)}return o&&(g=dh(c,1)),[h,g,f]}))}Rv.className="DepthwiseConv2D",Gi(Rv);class Bv extends py{constructor(e){let t;if(super(e),null==e.cell)throw new Yp("cell property is missing for the constructor of RNN.");if(t=Array.isArray(e.cell)?new jv({cells:e.cell}):e.cell,null==t.stateSize)throw new Yp("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=null!=e.returnSequences&&e.returnSequences,this.returnState=null!=e.returnState&&e.returnState,this.goBackwards=null!=e.goBackwards&&e.goBackwards,this._stateful=null!=e.stateful&&e.stateful,this.unroll=null!=e.unroll&&e.unroll,this.supportsMasking=!0,this.inputSpec=[new uy({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){return null==this.states_?Jm(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((e=>null)):this.states_}setStates(e){this.states_=e}computeOutputShape(e){ty(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);const n=t[0];let r;if(r=this.returnSequences?[e[0],e[1],n]:[e[0],n],this.returnState){const n=[];for(const r of t)n.push([e[0],r]);return[r].concat(n)}return r}computeMask(e,t){return po((()=>{Array.isArray(t)&&(t=t[0]);const e=this.returnSequences?t:null;if(this.returnState){const t=this.states.map((e=>null));return[e].concat(t)}return e}))}get states(){if(null==this.states_){const e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ne.shape[e.shape.length-1])),a))throw new Yp(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=a.map((e=>new uy({shape:[null,e]})));this.stateful&&this.resetStates()}resetStates(e,t=!1){po((()=>{if(!this.stateful)throw new Kp("Cannot call resetStates() on an RNN Layer that is not stateful.");const n=this.inputSpec[0].shape[0];if(null==n)throw new Yp("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==this.states_)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map((e=>oc([n,e]))):this.states_=[oc([n,this.cell.stateSize])];else if(null==e)mo(this.states_),null!=this.keptStates&&(mo(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map((e=>oc([n,e]))):this.states_[0]=oc([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new Yp(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);!0===t?this.keptStates.push(this.states_.slice()):mo(this.states_);for(let t=0;tgo(e.clone())))}))}apply(e,t){let n=null==t?null:t.initialState,r=null==t?null:t.constants;null==t&&(t={});const a=Ov(e,n,r,this.numConstants);e=a.inputs,n=a.initialState,r=a.constants;let s=[],i=[];if(null!=n){t.initialState=n,s=s.concat(n),this.stateSpec=[];for(const e of n)this.stateSpec.push(new uy({shape:e.shape}));i=i.concat(this.stateSpec)}if(null!=r&&(t.constants=r,s=s.concat(r),this.numConstants=r.length),s[0]instanceof cy){const n=[e].concat(s),r=this.inputSpec.concat(i),a=this.inputSpec;this.inputSpec=r;const o=super.apply(n,t);return this.inputSpec=a,o}return super.apply(e,t)}call(e,t){return po((()=>{const n=null==t?null:t.mask,r=null==t?null:t.training;let a=null==t?null:t.initialState;e=ry(e),null==a&&(a=this.stateful?this.states_:this.getInitialState(e));const s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(a.length!==s)throw new Yp(`RNN Layer has ${s} state(s) but was passed ${a.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");const i={training:r},o=Mv(((e,t)=>{const n=this.cell.call([e].concat(t),i);return[n[0],n.slice(1)]}),e,a,this.goBackwards,n,null,this.unroll,this.returnSequences),l=o[0],u=o[1],c=o[2];this.stateful&&this.resetStates(c,r);const h=this.returnSequences?u:l;return this.returnState?[h].concat(c):h}))}getInitialState(e){return po((()=>{let t=oc(e.shape);return t=Uu(t,[1,2]),t=Qm(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map((e=>e>1?sg(t,[1,e]):t)):this.cell.stateSize>1?[sg(t,[1,this.cell.stateSize])]:[t]}))}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){const e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);const n=this.cell.getConfig();return this.getClassName()===Bv.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign({},n,e,t)}static fromConfig(e,t,n={}){const r=Ay(t.cell,n);return new e(Object.assign(t,{cell:r}))}}Bv.className="RNN",Gi(Bv);class $v extends py{}class Pv extends $v{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,mm(this.units,"units"),this.activation=nv(null==e.activation?this.DEFAULT_ACTIVATION:e.activation),this.useBias=null==e.useBias||e.useBias,this.kernelInitializer=Mg(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Mg(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Mg(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=uv(e.kernelRegularizer),this.recurrentRegularizer=uv(e.recurrentRegularizer),this.biasRegularizer=uv(e.biasRegularizer),this.kernelConstraint=Nm(e.kernelConstraint),this.recurrentConstraint=Nm(e.recurrentConstraint),this.biasConstraint=Nm(e.biasConstraint),this.dropout=qm([1,Ym([0,null==e.dropout?0:e.dropout])]),this.recurrentDropout=qm([1,Ym([0,null==e.recurrentDropout?0:e.recurrentDropout])]),this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=ay(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return po((()=>{if(2!==(e=e).length)throw new Yp(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];const r=null!=t.training&&t.training;let a;0bc(e),rate:this.dropout,training:r})),0bc(n),rate:this.recurrentDropout,training:r}));const s=this.dropoutMask,i=this.recurrentDropoutMask;a=og(null!=s?Do(e,s):e,this.kernel.read()),null!=this.bias&&(a=hg(a,this.bias.read())),null!=i&&(n=Do(n,i));let o=No(a,og(n,this.recurrentKernel.read()));return null!=this.activation&&(o=this.activation.apply(o)),[o,o]}))}getConfig(){const e=super.getConfig(),t={units:this.units,activation:ev(this.activation),useBias:this.useBias,kernelInitializer:Og(this.kernelInitializer),recurrentInitializer:Og(this.recurrentInitializer),biasInitializer:Og(this.biasInitializer),kernelRegularizer:ov(this.kernelRegularizer),recurrentRegularizer:ov(this.recurrentRegularizer),biasRegularizer:ov(this.biasRegularizer),activityRegularizer:ov(this.activityRegularizer),kernelConstraint:Cm(this.kernelConstraint),recurrentConstraint:Cm(this.recurrentConstraint),biasConstraint:Cm(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},e,t)}}Pv.className="SimpleRNNCell",Gi(Pv);class Lv extends Bv{constructor(e){e.cell=new Pv(e),super(e)}call(e,t){return po((()=>{null!=this.cell.dropoutMask&&(mo(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(mo(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const n=null==t?null:t.mask,r=null==t?null:t.training,a=null==t?null:t.initialState;return super.call(e,{mask:n,training:r,initialState:a})}))}static fromConfig(e,t){return new e(t)}}Lv.className="SimpleRNN",Gi(Lv);class zv extends $v{constructor(e){if(super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new Yp("GRUCell does not support reset_after parameter set to true.");this.units=e.units,mm(this.units,"units"),this.activation=nv(void 0===e.activation?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=nv(void 0===e.recurrentActivation?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=null==e.useBias||e.useBias,this.kernelInitializer=Mg(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Mg(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Mg(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=uv(e.kernelRegularizer),this.recurrentRegularizer=uv(e.recurrentRegularizer),this.biasRegularizer=uv(e.biasRegularizer),this.kernelConstraint=Nm(e.kernelConstraint),this.recurrentConstraint=Nm(e.recurrentConstraint),this.biasConstraint=Nm(e.biasConstraint),this.dropout=qm([1,Ym([0,null==e.dropout?0:e.dropout])]),this.recurrentDropout=qm([1,Ym([0,null==e.recurrentDropout?0:e.recurrentDropout])]),this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){const t=(e=ay(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return po((()=>{if(2!==(e=e).length)throw new Yp(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);const n=null!=t.training&&t.training;let r=e[1];e=e[0],0bc(e),rate:this.dropout,training:n,count:3})),0bc(r),rate:this.recurrentDropout,training:n,count:3}));const a=this.dropoutMask,s=this.recurrentDropoutMask;let i,o,l;0{null!=this.cell.dropoutMask&&(mo(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(mo(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const n=null==t?null:t.mask,r=null==t?null:t.training,a=null==t?null:t.initialState;return super.call(e,{mask:n,training:r,initialState:a})}))}static fromConfig(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}Wv.className="GRU",Gi(Wv);class Uv extends $v{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,mm(this.units,"units"),this.activation=nv(void 0===e.activation?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=nv(void 0===e.recurrentActivation?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=null==e.useBias||e.useBias,this.kernelInitializer=Mg(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Mg(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Mg(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=uv(e.kernelRegularizer),this.recurrentRegularizer=uv(e.recurrentRegularizer),this.biasRegularizer=uv(e.biasRegularizer),this.kernelConstraint=Nm(e.kernelConstraint),this.recurrentConstraint=Nm(e.recurrentConstraint),this.biasConstraint=Nm(e.biasConstraint),this.dropout=qm([1,Ym([0,null==e.dropout?0:e.dropout])]),this.recurrentDropout=qm([1,Ym([0,null==e.recurrentDropout?0:e.recurrentDropout])]),this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;const n=(e=ay(e))[e.length-1];let r;if(this.kernel=this.addWeight("kernel",[n,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){const e=this.biasInitializer,n=this.units;r=new((t=class extends gg{apply(t,r){const a=e.apply([n]),s=(new bg).apply([n]),i=e.apply([2*n]);return ag(ag(a,s),i)}}).className="CustomInit",t)}else r=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,r,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return po((()=>{const n=null!=t.training&&t.training;if(3!==(e=e).length)throw new Yp(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let r=e[1];const a=e[2];e=e[0],0bc(e),rate:this.dropout,training:n,count:4})),0bc(r),rate:this.recurrentDropout,training:n,count:4}));const s=this.dropoutMask,i=this.recurrentDropoutMask;let o,l,u,c;0{null!=this.cell.dropoutMask&&(mo(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(mo(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const n=null==t?null:t.mask,r=null==t?null:t.training,a=null==t?null:t.initialState;return super.call(e,{mask:n,training:r,initialState:a})}))}static fromConfig(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}Vv.className="LSTM",Gi(Vv);class jv extends $v{constructor(e){super(e),this.cells=e.cells}get stateSize(){const e=[];for(const t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return po((()=>{let n=(e=e).slice(1);const r=[];for(const e of this.cells.slice().reverse())Array.isArray(e.stateSize)?r.push(n.splice(0,e.stateSize.length)):r.push(n.splice(0,1));r.reverse();const a=[];let s;for(let i=0;i{Um(`RNNCell_${r}`,(()=>{n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0}getConfig(){const e=super.getConfig(),t={cells:this.cells.map((e=>({className:e.getClassName(),config:e.getConfig()})))};return Object.assign({},e,t)}static fromConfig(e,t,n={}){const r=[];for(const e of t.cells)r.push(Ay(e,n));return new e({cells:r})}get trainableWeights(){if(!this.trainable)return[];const e=[];for(const t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){const e=[];for(const t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){const t=[];for(const e of this.cells)t.push(...e.trainableWeights);return t.concat(e)}return e}getWeights(){const e=[];for(const t of this.cells)e.push(...t.weights);return oy(e)}setWeights(e){const t=[];for(const n of this.cells){const r=n.weights.length,a=e.splice(r);for(let e=0;efg(t(),n),i=()=>dg(s,t,r);return!a||a<=1?go(i().clone()):Array(a).fill(void 0).map(i).map((e=>go(e.clone())))}jv.className="StackedRNNCells",Gi(jv);class Gv extends Bv{constructor(e){if(e.unroll)throw new Jp("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new Jp("It is not possible at the moment to stack convolutional cells.");super(e),this.inputSpec=[new uy({ndim:5})]}call(e,t){return po((()=>{if(null!=this.cell.dropoutMask&&(mo(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(mo(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new Yp("ConvRNN2D cell does not support constants");const n=null==t?null:t.mask,r=null==t?null:t.training,a=null==t?null:t.initialState;return super.call(e,{mask:n,training:r,initialState:a})}))}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return po((()=>{const{stateSize:t}=this.cell,n=e.shape,r=this.computeSingleOutputShape(n),a=oc([r[0],...r.slice(2)]);return Array.isArray(t)?Array(t.length).fill(a):[a]}))}resetStates(e,t=!1){po((()=>{if(!this.stateful)throw new Kp("Cannot call resetStates() on an RNN Layer that is not stateful.");const n=this.inputSpec[0].shape,r=this.computeSingleOutputShape(n),a=[r[0],...r.slice(2)];if(null==n[0])throw new Yp("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==this.getStates())Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map((()=>oc(a))):this.states_=[oc(a)];else if(null==e)mo(this.states_),null!=this.keptStates&&(mo(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map((()=>oc(a))):this.states_[0]=oc(a);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new Yp(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):mo(this.states_);for(let t=0;tgo(e.clone())))}))}computeSingleOutputShape(e){const{dataFormat:t,filters:n,kernelSize:r,padding:a,strides:s,dilationRate:i}=this.cell,o="channelsFirst"===t,l=e[o?3:2],u=e[o?4:3],c=yv(l,r[0],a,s[0],i[0]),h=yv(u,r[1],a,s[1],i[1]);return[...e.slice(0,2),...o?[n,c,h]:[c,h,n]]}}Gv.className="ConvRNN2D";class Xv extends Uv{constructor(e){const{filters:t,kernelSize:n,strides:r,padding:a,dataFormat:s,dilationRate:i}=e;super(Object.assign({},e,{units:t})),this.filters=t,mm(this.filters,"filters"),this.kernelSize=gv(n,2,"kernelSize"),this.kernelSize.forEach((e=>mm(e,"kernelSize"))),this.strides=gv(r||1,2,"strides"),this.strides.forEach((e=>mm(e,"strides"))),this.padding=a||"valid",Lm(this.padding),this.dataFormat=s||"channelsLast",Pm(this.dataFormat),this.dilationRate=gv(i||1,2,"dilationRate"),this.dilationRate.forEach((e=>mm(e,"dilationRate")))}build(e){var t;e=ay(e);const n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new Yp(`The channel dimension of the input should be defined. Found ${e[n]}`);const r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);const s=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",s,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let e;if(this.unitForgetBias){const n=this.biasInitializer,r=this.filters;e=new((t=class extends gg{apply(e,t){return rg([n.apply([r]),lc([r]),n.apply([2*r])])}}).className="CustomInit",t)}else e=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,e,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return po((()=>{if(3!==e.length)throw new Yp(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);const n=t.training||!1,r=e[0],a=e[1],s=e[2];0bc(r),rate:this.dropout,training:n,count:4}));const i=this.dropoutMask,o=(e,t,n)=>t&&t[n]?Do(t[n],e):e;let l=o(r,i,0),u=o(r,i,1),c=o(r,i,2),h=o(r,i,3);0bc(a),rate:this.recurrentDropout,training:n,count:4}));const f=this.recurrentDropoutMask;let d=o(a,f,0),p=o(a,f,1),m=o(a,f,2),g=o(a,f,3);const[y,b,v,w]=uh(this.kernel.read(),4,3),[_,x,k,E]=this.useBias?uh(this.bias.read(),4):[null,null,null,null];l=this.inputConv(l,y,_,this.padding),u=this.inputConv(u,b,x,this.padding),c=this.inputConv(c,v,k,this.padding),h=this.inputConv(h,w,E,this.padding);const[C,S,N,I]=uh(this.recurrentKernel.read(),4,3);d=this.recurrentConv(d,C),p=this.recurrentConv(p,S),m=this.recurrentConv(m,N),g=this.recurrentConv(g,I);const A=this.recurrentActivation.apply(No(l,d)),D=this.recurrentActivation.apply(No(u,p)),T=No(Do(D,s),Do(A,this.activation.apply(No(c,m)))),F=Do(this.recurrentActivation.apply(No(h,g)),this.activation.apply(T));return[F,F,T]}))}getConfig(){const e=super.getConfig(),{units:t}=e,n=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var a=0;for(r=Object.getOwnPropertySymbols(e);a{this.invokeCallHook(e,t);const n=ry(e);if(0fg(n,this.rate,r,this.seed)),(()=>n),e)}return e}))}getConfig(){const e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}}qv.className="Dropout",Gi(qv);class Yv extends qv{constructor(e){super(e),this.inputSpec=[{ndim:3}]}getNoiseShape(e){const t=e.shape;return[t[0],1,t[2]]}}Yv.className="SpatialDropout1D",Gi(Yv);class Jv extends py{constructor(e){if(super(e),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){let t=null;null!=e.batchSize&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,mm(this.units,"units"),this.activation=nv(e.activation),null!=e.useBias&&(this.useBias=e.useBias),this.kernelInitializer=Mg(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=Mg(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Nm(e.kernelConstraint),this.biasConstraint=Nm(e.biasConstraint),this.kernelRegularizer=uv(e.kernelRegularizer),this.biasRegularizer=uv(e.biasRegularizer),this.activityRegularizer=uv(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){const t=(e=ay(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){const t=(e=ay(e)).slice();return t[t.length-1]=this.units,t}call(e,t){return po((()=>{this.invokeCallHook(e,t);const n=ry(e),r=ym(this.activation.getClassName());let a;return null!=r?a=og(n,this.kernel.read(),r,this.bias?this.bias.read():null):(a=og(n,this.kernel.read()),null!=this.bias&&(a=hg(a,this.bias.read())),null!=this.activation&&(a=this.activation.apply(a))),a}))}getConfig(){const e={units:this.units,activation:ev(this.activation),useBias:this.useBias,kernelInitializer:Og(this.kernelInitializer),biasInitializer:Og(this.biasInitializer),kernelRegularizer:ov(this.kernelRegularizer),biasRegularizer:ov(this.biasRegularizer),activityRegularizer:ov(this.activityRegularizer),kernelConstraint:Cm(this.kernelConstraint),biasConstraint:Cm(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}}Jv.className="Dense",Gi(Jv);class Zv extends py{constructor(e){super(e=e||{}),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=ay(e);for(const t of e.slice(1))if(null==t)throw new Yp(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],Xm(e,1)]}call(e,t){return po((()=>{this.invokeCallHook(e,t);let n=ry(e);if("channelsFirst"===this.dataFormat&&n.rank>1){const e=[0];for(let t=2;t{this.invokeCallHook(e,t);const n=ry(e);return this.activation.apply(n)}))}getConfig(){const e={activation:ev(this.activation)},t=super.getConfig();return Object.assign(e,t),e}}Qv.className="Activation",Gi(Qv);class ew extends py{constructor(e){super(e),this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return po((()=>{return e=ry(e),t=e,n=this.n,po((()=>{if(2!==t.shape.length)throw new Yp(`repeat() expects a rank-2 tensor, but received a rank-${t.shape.length} tensor.`);return sg(Qm(t,1),[1,n,1])}));var t,n}))}getConfig(){const e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}}ew.className="RepeatVector",Gi(ew);class tw extends py{constructor(e){super(e),this.targetShape=e.targetShape;for(let e=0;e{this.invokeCallHook(e,t);const n=ry(e),r=n.shape,a=r.slice(0,1).concat(this.fixUnknownDimension(r.slice(1),this.targetShape));return n.reshape(a)}))}getConfig(){const e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}}tw.className="Reshape",Gi(tw);class nw extends py{constructor(e){if(super(e),null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);const t=Jm(1,e.dims.length+1);if(!se(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new uy({ndim:this.dims.length+1})]}computeOutputShape(e){const t=(e=ay(e)).slice();return this.dims.forEach(((n,r)=>{t[r+1]=e[n]})),t}call(e,t){return gi(ry(e),this.dimsIncludingBatch)}getConfig(){const e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}}nw.className="Permute",Gi(nw);class rw extends py{constructor(e){super(null==e?{}:e),this.supportsMasking=!0,this.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0}computeOutputShape(e){return e}getConfig(){const e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){const n=ry(e);return ll(yc(n,this.maskValue),-1)}call(e,t){return po((()=>{this.invokeCallHook(e,t);const n=ry(e),r=ll(yc(n,this.maskValue),-1,!0);return n.mul(r.asType(n.dtype))}))}}rw.className="Masking",Gi(rw);class aw extends py{constructor(e){if(super(e),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){let t=null;null!=e.batchSize&&(t=e.batchSize),null==e.inputLength?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(rm(e.inputLength))}this.inputDim=e.inputDim,mm(this.inputDim,"inputDim"),this.outputDim=e.outputDim,mm(this.outputDim,"outputDim"),this.embeddingsInitializer=Mg(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=uv(e.embeddingsRegularizer),this.activityRegularizer=uv(e.activityRegularizer),this.embeddingsConstraint=Nm(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return po((()=>this.maskZero?(e=ry(e),yc(e,Ro(e))):null))}computeOutputShape(e){if(e=ay(e),null==this.inputLength)return[...e,this.outputDim];const t=rm(this.inputLength);if(t.length!==e.length-1)throw new Yp(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let r=0;r{this.invokeCallHook(e,t);let n=ry(e);return"int32"!==n.dtype&&(n=Zm(n,"int32")),lg(this.embeddings.read(),n.as1D()).reshape(ay(this.computeOutputShape(n.shape)))}))}getConfig(){const e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Og(this.embeddingsInitializer),embeddingsRegularizer:ov(this.embeddingsRegularizer),activityRegularizer:ov(this.activityRegularizer),embeddingsConstraint:Cm(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}}aw.className="Embedding",Gi(aw);class sw extends py{constructor(e){super(e||{}),this.supportsMasking=!0}mergeFunction(e){throw new Jp}computeElementwiseOpOutputShape(e,t){if(null==e||null==t)return null;if(e.length1)throw new Yp(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=null==e[0]?null:e[0].slice(1);for(let t=1;te.length));-1===e.indexOf(null)&&1===hm(r).length?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return po((()=>{if(e=e,this.reshapeRequired){const t=[],n=e.map((e=>e.rank));if(-1===n.indexOf(null)){const r=Ym(n);for(let n of e){const e=n.rank;for(let t=0;t1){const a=Jm(1,e).concat([0]);t.push(gi(r,a)),n=!0}else t.push(r)}let r=this.mergeFunction(t);const a=r.rank;if(n)if(null==a){const e=r.shape,t=e[e.length-1],n=[t].concat(e.slice(0,e.length-1));r=gi(r.reshape([-1,t]),[1,0]).reshape(n)}else if(a>1){const e=[a-1].concat(Jm(0,a-1));r=gi(r,e)}return r}}return this.mergeFunction(e)}))}computeOutputShape(e){let t;t=null==(e=e)[0]?null:e[0].slice(1);for(let n=1;n{if(null==t)return null;if(!Array.isArray(t))throw new Yp("`mask` should be an Array");if(!Array.isArray(e))throw new Yp("`inputs` should be an Array");if(t.length!==e.length)throw new Yp(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every((e=>null==e)))return null;let n=(t=t.map((e=>null==e?e:vu(e,0))))[0];for(let e=1;e{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0];for(let n=1;n{let t=e[0];for(let n=1;n1)throw new Yp("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return po((()=>rg(e,this.axis)))}computeOutputShape(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new Yp("A `Concatenate` layer should be called on a list of inputs.");const t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis;for(const e of t.slice(1)){if(null==n[r]||null==e[r]){n[r]=null;break}n[r]+=e[r]}return n}computeMask(e,t){if(null==t)return null;if(!Array.isArray(t))throw new Yp("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new Yp("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new Yp(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return po((()=>{let n=!0;if(t.forEach((e=>{null==e||(n=!1)})),n)return null;const r=[];for(let n=0;n"A `Dot` layer should be called on a list of exactly 2 inputs."));const t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Jp("Dot layer does not support tensors of 4D or higher rank yet.");const r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new Yp(`Dimension incompatibility: ${t[r[0]]} !== ${n[r[1]]}`)}mergeFunction(e){if(2!==e.length)throw new Yp(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map(((t,n)=>fw(t,e[n].shape.length))):[fw(this.axes,n.shape.length),fw(this.axes,r.shape.length)],this.normalize&&(n=Dy(n,t[0]),r=Dy(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new Jp("batchDot is not implemented for tensors of 4D or higher rank yet");if(Q(e.shape.length>=2,(()=>`batchDot requires the rank of x to be >= 2, but got ${e.shape.length}`)),Q(e.shape.length>=2,(()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`)),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new Jp("batchDot is not implemented for complex64-type Tensors yet.");const r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);const s=n;return po((()=>{let n,i;if(r>a){n=r-a;const e=[];for(let t=0;tr){n=a-r;const t=[];for(let e=0;e0){let e;e=r>a?r+a-3:r-1;const t=[];for(let r=e;r"A `Dot` layer should be called on a list of exactly 2 inputs."));const t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Jp("Dot layer does not support tensors of 4D or higher rank yet.");const r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);const a=t.concat(n);return 1===a.length&&a.push(1),a}computeMask(e,t){return null}getConfig(){const e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}}dw.className="Dot",Gi(dw);class pw extends py{constructor(e){super(e),this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){const e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return po((()=>{this.invokeCallHook(e,t);const n=ry(e);return dg((()=>ig(n.shape,0,this.stddev).add(n)),(()=>n),t.training||!1)}))}}pw.className="GaussianNoise",Gi(pw);class mw extends py{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){const e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return po((()=>{this.invokeCallHook(e,t);const n=ry(e);return this.rate>0&&this.rate<1?dg((()=>{const e=Math.sqrt(this.rate/(1-this.rate));return n.mul(ig(n.shape,1,e))}),(()=>n),t.training||!1):n}))}}mw.className="GaussianDropout",Gi(mw);class gw extends py{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||ry(e).shape}computeOutputShape(e){return e}getConfig(){const e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return po((()=>{if(this.rate<1&&this.rate>0){const n=this._getNoiseShape(e);return dg((()=>{const t=ry(e),r=-1.7580993408473766;let a=Su(Bc(n),this.rate);a=Zm(a,"float32");const s=((1-this.rate)*(1+this.rate*r**2))**-.5,i=-s*r*this.rate;return t.mul(a).add(a.add(-1).mul(r)).mul(s).add(i)}),(()=>ry(e)),t.training||!1)}return e}))}}function yw(e,t,n,r,a,s=.001){let i;if(2===e.rank)i=Ll(e,t,n,r,a,s);else if(3===e.rank)i=zl(e,t,n,r,a,s);else{if(4!==e.rank)throw new Jp(`batchNormalization is not implemented for array of rank ${e.rank} yet`);i=Wl(e,t,n,r,a,s)}return i}gw.className="AlphaDropout",Gi(gw);class bw extends py{constructor(e){null==e&&(e={}),super(e),this.supportsMasking=!0,this.axis=null==e.axis?-1:e.axis,this.momentum=null==e.momentum?.99:e.momentum,this.epsilon=null==e.epsilon?.001:e.epsilon,this.center=null==e.center||e.center,this.scale=null==e.scale||e.scale,this.betaInitializer=Mg(e.betaInitializer||"zeros"),this.gammaInitializer=Mg(e.gammaInitializer||"ones"),this.movingMeanInitializer=Mg(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=Mg(e.movingVarianceInitializer||"ones"),this.betaConstraint=Nm(e.betaConstraint),this.gammaConstraint=Nm(e.gammaConstraint),this.betaRegularizer=uv(e.betaRegularizer),this.gammaRegularizer=uv(e.gammaRegularizer)}build(e){e=ay(e);const t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new Yp(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new uy({ndim:e.length,axes:{[t]:n}})];const r=[n];this.scale&&(this.gamma=this.addWeight("gamma",r,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",r,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",r,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",r,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return po((()=>{const n=null!=t.training&&t.training,r=ry(e),a=r.shape,s=a.length,i=Jm(0,s),o=this.axis>=0?this.axis:this.axis+s;i.splice(o,1);const l=Qp(1,s);l[o]=a[o];const u=i.slice();u.sort();const c=!se(u,Jm(0,s).slice(0,s-1));if(!n)return(()=>{if(c){const e=this.movingMean.read().reshape(l),t=this.movingVariance.read().reshape(l),n=this.center?this.beta.read().reshape(l):null,a=this.scale?this.gamma.read().reshape(l):null;return yw(r,e,t,n,a,this.epsilon)}return yw(r,this.movingMean.read(),this.movingVariance.read(),null==this.beta?null:this.beta.read(),null==this.gamma?null:this.gamma.read(),this.epsilon)})();const[h,f,d]=function(e,t,n,r,a=.001){return se(r.slice().sort(),Jm(0,e.rank-1))?function(e,t,n,r,a=.001){return po((()=>{const s=pc(e,r),i=s.mean,o=s.variance;return[yw(e,i,o,n,t,a),i,o]}))}(e,t,n,r,a):function(e,t,n,r,a=.001){return po((()=>{const s=pc(e,r),i=s.mean,o=s.variance,l=[];for(const t of Jm(0,e.rank))-1!==r.indexOf(t)?l.push(1):l.push(e.shape[t]);const u=i.reshape(l),c=o.reshape(l),h=null==t?null:t.reshape(l),f=null==n?null:n.reshape(l);return[yw(e,u,c,f,h,a),i,o]}))}(e,t,n,r,a)}(r,this.gamma.read(),this.beta.read(),i,this.epsilon),p=(e,t,n)=>{po((()=>{const r=1-n,a=e.read(),s=a.sub(t).mul(r);e.write(a.sub(s))}))};return(()=>{p(this.movingMean,f,this.momentum),p(this.movingVariance,d,this.momentum)})(),h}))}getConfig(){const e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Og(this.betaInitializer),gammaInitializer:Og(this.gammaInitializer),movingMeanInitializer:Og(this.movingMeanInitializer),movingVarianceInitializer:Og(this.movingVarianceInitializer),betaRegularizer:ov(this.betaRegularizer),gammaRegularizer:ov(this.gammaRegularizer),betaConstraint:Cm(this.betaConstraint),gammaConstraint:Cm(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}}bw.className="BatchNormalization",Gi(bw);class vw extends py{constructor(e){if(null==e&&(e={}),super(e),this.axis=null==e.axis?-1:e.axis,"number"==typeof this.axis){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else{if(!Array.isArray(this.axis))throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);for(const e of this.axis)if(!Number.isInteger(e))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}this.epsilon=null==e.epsilon?.001:e.epsilon,this.center=null==e.center||e.center,this.scale=null==e.scale||e.scale,this.betaInitializer=Mg(e.betaInitializer||"zeros"),this.gammaInitializer=Mg(e.gammaInitializer||"ones"),this.betaRegularizer=uv(e.betaRegularizer),this.gammaRegularizer=uv(e.gammaRegularizer),this.supportsMasking=!0}build(e){const t=(e=ay(e)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(let e=0;e=t)throw new Error(`Invalid axis: ${e}`);if(this.axis.length!==hm(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);const n=this.axis.map((t=>e[t]));this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0}call(e,t){const n=ry(e),r=n.shape,a=r.length;return po((()=>{let{mean:e,variance:t}=pc(n,this.axis,!0);const s=Qp(1,a);for(const e of this.axis)s[e]=r[e];const i=e=>null!=e&&e.shape.length!==a&&this.axis!==[a-1]?e.reshape(s):e;let o=i(this.gamma.read()),l=i(this.beta.read());const u=[],c=[];for(let e=0;e=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])}call(e,t){return po((()=>{return t=ry(e),n=this.padding,r=this.dataFormat,po((()=>{if(4!==t.rank)throw new Yp(`temporalPadding expects input tensor to be 4-D, but received a ${t.rank}-D tensor.`);if(null==n&&(n=[[1,1],[1,1]]),2!==n.length||2!==n[0].length||2!==n[1].length)throw new Yp("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==r&&(r="channelsLast"),"channelsLast"!==r&&"channelsFirst"!==r)throw new Yp(`Unknown data format: ${r}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let e;return e="channelsFirst"===r?[[0,0],[0,0],n[0],n[1]]:[[0,0],n[0],n[1],[0,0]],wc(t,e)}));var t,n,r}))}getConfig(){const e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}function _w(e,t,n,r,a,s){return po((()=>{let i;Pm(a),zm(s),Lm(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==s&&(s="max"),e=vv(e,a);const o="same"===r?"same":"valid";return i="max"===s?rc(e,t,n,o):Dl(e,t,n,o),"channelsFirst"===a&&(i=gi(i,[0,3,1,2])),i}))}function xw(e,t,n,r,a,s){return po((()=>{let i;Pm(a),zm(s),Lm(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==s&&(s="max"),e=wv(e,a);const o="same"===r?"same":"valid";return i="max"===s?ac(e,t,n,o):Tl(e,t,n,o),"channelsFirst"===a&&(i=gi(i,[0,4,1,2,3])),i}))}ww.className="ZeroPadding2D",Gi(ww);class kw extends py{constructor(e){if(null==e.poolSize&&(e.poolSize=2),super(e),"number"==typeof e.poolSize)this.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!=typeof e.poolSize[0])throw new Yp(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);this.poolSize=e.poolSize}if(mm(this.poolSize,"poolSize"),null==e.strides)this.strides=this.poolSize;else if("number"==typeof e.strides)this.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!=typeof e.strides[0])throw new Yp(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);this.strides=e.strides}mm(this.strides,"strides"),this.padding=null==e.padding?"valid":e.padding,Lm(this.padding),this.inputSpec=[new uy({ndim:3})]}computeOutputShape(e){const t=yv((e=ay(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return po((()=>{this.invokeCallHook(e,t),e=Qm(ry(e),2);const n=this.poolingFunction(ry(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return fh(n,[2])}))}getConfig(){const e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}}class Ew extends kw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),_w(e,t,n,r,a,"max")}}Ew.className="MaxPooling1D",Gi(Ew);class Cw extends kw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),_w(e,t,n,r,a,"avg")}}Cw.className="AveragePooling1D",Gi(Cw);class Sw extends py{constructor(e){if(null==e.poolSize&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new Yp(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];mm(this.poolSize,"poolSize"),mm(this.strides,"strides"),this.padding=null==e.padding?"valid":e.padding,this.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Pm(this.dataFormat),Lm(this.padding),this.inputSpec=[new uy({ndim:4})]}computeOutputShape(e){e=ay(e);let t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=yv(t,this.poolSize[0],this.padding,this.strides[0]),n=yv(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return po((()=>(this.invokeCallHook(e,t),this.poolingFunction(ry(e),this.poolSize,this.strides,this.padding,this.dataFormat))))}getConfig(){const e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}class Nw extends Sw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),_w(e,t,n,r,a,"max")}}Nw.className="MaxPooling2D",Gi(Nw);class Iw extends Sw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),_w(e,t,n,r,a,"avg")}}Iw.className="AveragePooling2D",Gi(Iw);class Aw extends py{constructor(e){if(null==e.poolSize&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new Yp(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];mm(this.poolSize,"poolSize"),mm(this.strides,"strides"),this.padding=null==e.padding?"valid":e.padding,this.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Pm(this.dataFormat),Lm(this.padding),this.inputSpec=[new uy({ndim:5})]}computeOutputShape(e){e=ay(e);let t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=yv(t,this.poolSize[0],this.padding,this.strides[0]),n=yv(n,this.poolSize[1],this.padding,this.strides[1]),r=yv(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]}call(e,t){return po((()=>(this.invokeCallHook(e,t),this.poolingFunction(ry(e),this.poolSize,this.strides,this.padding,this.dataFormat))))}getConfig(){const e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}class Dw extends Aw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),xw(e,t,n,r,a,"max")}}Dw.className="MaxPooling3D",Gi(Dw);class Tw extends Aw{constructor(e){super(e)}poolingFunction(e,t,n,r,a){return Pm(a),Lm(r),xw(e,t,n,r,a,"avg")}}Tw.className="AveragePooling3D",Gi(Tw);class Fw extends py{constructor(e){super(e),this.inputSpec=[new uy({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new Jp}}class Rw extends Fw{constructor(e){super(e||{})}call(e,t){return po((()=>{const t=ry(e);return ic(t,1)}))}}Rw.className="GlobalAveragePooling1D",Gi(Rw);class Ow extends Fw{constructor(e){super(e||{})}call(e,t){return po((()=>{const t=ry(e);return Wu(t,1)}))}}Ow.className="GlobalMaxPooling1D",Gi(Ow);class Mw extends py{constructor(e){super(e),this.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Pm(this.dataFormat),this.inputSpec=[new uy({ndim:4})]}computeOutputShape(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new Jp}getConfig(){const e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}}class Bw extends Mw{call(e,t){return po((()=>{const t=ry(e);return"channelsLast"===this.dataFormat?ic(t,[1,2]):ic(t,[2,3])}))}}Bw.className="GlobalAveragePooling2D",Gi(Bw);class $w extends Mw{call(e,t){return po((()=>{const t=ry(e);return"channelsLast"===this.dataFormat?Wu(t,[1,2]):Wu(t,[2,3])}))}}$w.className="GlobalMaxPooling2D",Gi($w);class Pw extends py{constructor(e){super(e),this.layer=e.layer}build(e){this.built=!0}get trainable(){return null!=this.layer&&this.layer.trainable}set trainable(e){null!=this.layer&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){const e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){const r=Ay(t.layer,n);delete t.layer;const a={layer:r};return Object.assign(a,t),new e(a)}}class Lw extends Pw{constructor(e){super(e),this.supportsMasking=!0}build(e){if((e=ay(e)).length<3)throw new Yp(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];const t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){const t=[(e=ay(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))}call(e,t){return po((()=>Mv(((e,n)=>[ry(this.layer.call(e,t)),[]]),e=ry(e),[],!1,null,null,!1,!0)[1]))}}Lw.className="TimeDistributed",Gi(Lw);class zw extends Pw{constructor(e){super(e);const t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Ay(n),t.goBackwards=!0!==t.goBackwards;const r={};var a;if(r.className=e.layer.getClassName(),r.config=t,this.backwardLayer=Ay(r),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,a=this.mergeMode,dm(Bm,"BidirectionalMergeMode",a),e.weights)throw new Jp("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){const t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t,n,r,a=this.forwardLayer.computeOutputShape(e);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),a=a,this.returnState?(r=a.slice(1),t=a[0]):t=a[0],t=t,"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):nm(n)}apply(e,t){let n=null==t?null:t.initialState,r=null==t?null:t.constants;null==t&&(t={});const a=Ov(e,n,r,this.numConstants);if(e=a.inputs,n=a.initialState,r=a.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(null==n||0===n.length)&&null==r)return super.apply(e,t);const s=[],i=[];if(null!=n){const e=n.length;if(e%2>0)throw new Yp("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,s.push(...n);const r=n.map((e=>new uy({shape:e.shape})));this.forwardLayer.stateSpec=r.slice(0,e/2),this.backwardLayer.stateSpec=r.slice(e/2),i.push(...r)}if(null!=r)throw new Jp("Support for constants in Bidirectional layers is not implemented yet.");const o=s[0]instanceof cy;for(const e of s)if(e instanceof cy!==o)throw new Yp("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){const n=[e].concat(s),r=this.inputSpec.concat(i),a=this.inputSpec;this.inputSpec=r;const o=super.apply(n,t);return this.inputSpec=a,o}return super.apply(e,t)}call(e,t){return po((()=>{const n=t.initialState;let r,a,s,i;if(null==n)r=this.forwardLayer.call(e,t),a=this.backwardLayer.call(e,t);else{const s=n.slice(0,n.length/2),i=n.slice(n.length/2);r=this.forwardLayer.call(e,Object.assign(t,{initialState:s})),a=this.backwardLayer.call(e,Object.assign(t,{initialState:i}))}return this.returnState&&(Array.isArray(r)&&(s=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),this.returnSequences&&(a=Uc(a,1)),"concat"===this.mergeMode?i=rg([r,a]):"sum"===this.mergeMode?i=No(r,a):"ave"===this.mergeMode?i=Do(.5,No(r,a)):"mul"===this.mergeMode?i=Do(r,a):null==this.mergeMode&&(i=[r,a]),this.returnState?null==this.mergeMode?i.concat(s):[i].concat(s):i}))}resetStates(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(e){Um(this.forwardLayer.name,(()=>{this.forwardLayer.build(e)})),Um(this.backwardLayer.name,(()=>{this.backwardLayer.build(e)})),this.built=!0}computeMask(e,t){let n;if(Array.isArray(t)&&(t=t[0]),n=this.returnSequences?null==this.mergeMode?[t,t]:t:null==this.mergeMode?[null,null]:null,this.returnState){const e=this.forwardLayer.states.map((e=>null));return Array.isArray(n)?n.concat(e).concat(e):[n].concat(e).concat(e)}return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(e),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(e)}getConfig(){const e={mergeMode:this.mergeMode},t=super.getConfig();return Object.assign(e,t),e}static fromConfig(e,t){const n=Ay(t.layer);if(delete t.layer,null!=t.numConstants)throw new Jp("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");const r=t;return r.layer=n,new e(r)}}function Ww(e){return new gy(e)}function Uw(e){return new dv(e)}function Vw(e){return new cv(e)}function jw(e){return new hv(e)}function Hw(e){return new fv(e)}function Gw(e){return new mv(e)}function Xw(e){return new pv(e)}function Kw(e){return new Dv(e)}function qw(e){return new Ev(e)}function Yw(e){return new Sv(e)}function Jw(e){return new 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rk{static get Instance(){return this._instance||(this._instance=new this)}constructor(){const e=[].concat(...[E,C,S,N,I,A,D,O,R,T,M,B,$,P,L,z,F].map((e=>e.json)));this.opMappers=e.reduce(((e,t)=>(e[t.tfOpName]=t,e)),{})}transformGraph(e,t={}){const n=e.node,r=[],a=[],s=[],i=n.reduce(((e,t)=>(e[t.name]=this.mapNode(t),t.op.startsWith("Placeholder")?r.push(e[t.name]):"Const"===t.op?a.push(e[t.name]):null!=t.input&&0!==t.input.length||s.push(e[t.name]),e)),{});let o=[];const l=[];let u={},c={};null!=t&&(u=this.mapSignatureEntries(t.inputs),c=this.mapSignatureEntries(t.outputs));const h=Object.keys(i);h.forEach((e=>{const t=i[e];t.inputNames.forEach((e=>{const[n]=Mx(e);t.inputs.push(i[n]),i[n].children.push(t)}))})),0===Object.keys(c).length?h.forEach((e=>{const t=i[e];0===t.children.length&&l.push(t)})):Object.keys(c).forEach((e=>{const[t]=Mx(e),n=i[t];null!=n&&(n.signatureKey=c[e],l.push(n))})),Object.keys(u).length>0?Object.keys(u).forEach((e=>{const[t]=Mx(e),n=i[t];n&&(n.signatureKey=u[e],o.push(n))})):o=r;let f={};null!=e.library&&null!=e.library.function&&(f=e.library.function.reduce(((e,t)=>(e[t.signature.name]=this.mapFunction(t),e)),{}));const d={nodes:i,inputs:o,outputs:l,weights:a,placeholders:r,signature:t,functions:f};return s.length>0&&(d.initNodes=s),d}mapSignatureEntries(e){return Object.keys(e||{}).reduce(((t,n)=>(t[e[n].name]=n,t)),{})}mapNode(e){const t=Tx(e.op)||this.opMappers[e.op]||{};null==e.attr&&(e.attr={});const n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map((e=>e.startsWith("^")?e.substr(1):e)),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr};return 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r={};null!=t&&(r=t.reduce(((e,t)=>(e[t.name]=this.mapNode(t),"Const"===t.op&&n.push(e[t.name]),e)),{}));const a=[],s=[];e.signature.inputArg.forEach((e=>{const[t]=Mx(e.name),n={name:t,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:lk(e.type),type:"dtype"}},children:[]};n.signatureKey=e.name,a.push(n),r[t]=n})),Object.keys(r).forEach((e=>{const t=r[e];t.inputNames.forEach((e=>{const[n]=Mx(e);t.inputs.push(r[n]),r[n].children.push(t)}))}));const i=e.ret;e.signature.outputArg.forEach((e=>{const[t,n]=Mx(i[e.name]),a=r[t];null!=a&&(a.defaultOutput=n,s.push(a))}));const o=this.mapArgsToSignature(e);return{nodes:r,inputs:a,outputs:s,weights:n,placeholders:[],signature:o}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce(((e,t)=>(e[t.name]=this.mapArgToTensorInfo(t),e)),{}),outputs:e.signature.outputArg.reduce(((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n,e.ret),t)),{})}}mapArgToTensorInfo(e,t){let n=e.name;return null!=t&&(n=t[n]),{name:n,dtype:e.type}}}function ak(e,t){const n=Array.isArray(e)?String.fromCharCode.apply(null,e):function(e){const t=We().global;if(void 0!==t.atob)return t.atob(e);if("undefined"!=typeof Buffer)return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}(e);return t?n:n.toLowerCase()}function sk(e,t,n,r=!1){const a=e[t];return null!=a?ak(a.s,r):n}function ik(e,t,n){const r=e[t];return r?r.b:n}function ok(e,t,n){const r=e[t]||{},a=null!=r.i?r.i:null!=r.f?r.f:n;return"number"==typeof a?a:parseInt(a,10)}function lk(e){switch("string"==typeof e&&(e=Nx[e]),e){case Nx.DT_FLOAT:return"float32";case Nx.DT_INT32:case Nx.DT_INT64:case Nx.DT_INT8:case Nx.DT_UINT8:return"int32";case Nx.DT_BOOL:return"bool";case Nx.DT_DOUBLE:return"float32";case Nx.DT_STRING:return"string";default:return null}}function uk(e,t,n){const r=e[t];return r&&r.func?r.func.name:n}function ck(e,t,n){const r=e[t];return r&&r.type?lk(r.type):n}function hk(e,t,n){const r=e[t];return r&&r.list&&r.list.type?r.list.type.map((e=>lk(e))):n}function fk(e){if(!e.unknownRank)return null!=e.dim?e.dim.map((e=>"number"==typeof e.size?e.size:parseInt(e.size,10))):[]}function dk(e,t,n){const r=e[t];return r&&r.shape?fk(r.shape):n}function pk(e,t,n){const r=e[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map((e=>"number"==typeof e?e:parseInt(e,10))):n}function mk(e,t,n,r=!1){const a=e[t];return a&&a.list&&a.list.s?a.list.s.map((e=>ak(e,r))):n}function gk(e,t,n){const r=e[t];return r&&r.list&&r.list.shape?r.list.shape.map((e=>fk(e))):n}function yk(e,t,n){const r=e[t];return r&&r.list&&r.list.b?r.list.b:n}class bk{constructor(e,t,n){this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map((e=>this.getInput(e))),null!=e.rawAttrs&&(this.attrs=Object.keys(e.rawAttrs).reduce(((e,t)=>(e[t]=this.getAttr(t),e)),{}))}getInput(e){return Ox(e,this.tensorMap,this.context)}getAttr(e,t){const n=this.node.rawAttrs[e];if(null!=n.tensor)return Ox(e,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return ok(this.node.rawAttrs,e,t);if(null!=n.s)return sk(this.node.rawAttrs,e,t);if(null!=n.b)return ik(this.node.rawAttrs,e,t);if(null!=n.shape)return dk(this.node.rawAttrs,e,t);if(null!=n.type)return ck(this.node.rawAttrs,e,t);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return pk(this.node.rawAttrs,e,t);if(null!=n.list.s)return mk(this.node.rawAttrs,e,t);if(null!=n.list.shape)return gk(this.node.rawAttrs,e,t);if(null!=n.list.b)return yk(this.node.rawAttrs,e,t);if(null!=n.list.type)return hk(this.node.rawAttrs,e,t)}return t}}function vk(e,t,n=""){if("number"!=typeof e&&"number"!=typeof t){Q(e.length===t.length,(()=>n+` Shapes ${e} and ${t} must match`));for(let r=0;rn+` Shapes ${e} and ${t} must match`))}}}function wk(e){return"number"!=typeof e&&!e.some((e=>e<0))}function _k(e,t,n){let r=xk(e,n);const a=!wk(r);if(a&&0===t.length)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${r}`);if(a&&t.forEach((e=>{r=xk(e.shape,r)})),!wk(r))throw new Error(`Non-fully-defined elementShape: ${r}`);return r}function xk(e,t){if("number"==typeof e)return t;if("number"==typeof t)return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);const n=[];for(let r=0;r=0&&s>=0&&a!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);n[r]=a>=0?a:s}return n}class kk{constructor(e,t,n,r,a,s,i){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=r,this.identicalElementShapes=a,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=Wo(0),go(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach((t=>{null!=e&&e.has(t.tensor.id)||t.tensor.dispose()})),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);const t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map((e=>this.read(e)))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);const n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e},\n because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),vk(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,go(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach(((e,n)=>this.write(e,t[n])))}gather(e,t){if(t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let t=0;t=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,Sh(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0;const r=e.map((e=>(n+=e,n)));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);const a=0===n?0:t.size/n,s=[];po((()=>{t=Al(t,[1,n,a]);for(let n=0;n{if(n!==e.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${e.dtype}`);vk(t,e.shape,"TensorList shape mismatch: "),go(e)})),this.idTensor=Wo(0),this.maxNumElements=r,go(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Ek([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach((t=>{null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(-1!==n&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);vk(e,this.elementShape,"TensorList shape mismatch: ");const r=_k(this.elementShape,this.tensors,e);return po((()=>{const e=this.tensors.map((e=>Al(e,r)));return dh(e,0)}))}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(0===this.size())throw new Error("Trying to pop from an empty list.");const n=_k(this.elementShape,this.tensors,e),r=this.tensors.pop();return vk(r.shape,e,"TensorList shape mismatch: "),Al(r,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(vk(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");go(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(-1!==this.maxNumElements&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);this.tensors.length=e}getItem(e,t,n){if(n!==this.elementDtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${this.elementDtype}`);if(e<0||e>this.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(null==this.tensors[e])throw new Error(`element at index ${e} is null.`);vk(this.tensors[e].shape,t,"TensorList shape mismatch: ");const r=_k(this.elementShape,this.tensors,t);return Al(this.tensors[e],r)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||-1!==this.maxNumElements&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);vk(this.elementShape,t.shape,"TensorList shape mismatch: "),go(t),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);vk(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());const r=_k(this.elementShape,this.tensors,n);return 0===e.length?ts([],[0].concat(r)):po((()=>{const t=e.map((e=>Al(this.tensors[e],r)));return dh(t,0)}))}concat(e,t){if(e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);vk(this.elementShape,t,"TensorList shape mismatch: ");const n=_k(this.elementShape,this.tensors,t);return 0===this.size()?ts([],[0].concat(n)):po((()=>{const e=this.tensors.map((e=>Al(e,n)));return Fl(e,0)}))}}function Ck(e,t,n){const[r,a]=Rx("fusedOps",e,t,n),s="biasadd"===r,i="prelu"===a,o="fusedbatchnorm"===r,l=Rx("numArgs",e,t,n);if(s){if(i&&2!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&1!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(o)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");const u=Rx("strides",e,t,n),c=Px(e,t,n),h=Rx("dataFormat",e,t,n).toUpperCase(),f=Rx("dilations",e,t,n),[d,p]=Rx("args",e,t,n);return{stride:u,pad:c,dataFormat:h,dilations:f,biasArg:d,preluArg:p,activationFunc:a,leakyreluAlpha:Rx("leakyreluAlpha",e,t,n)}}function Sk(e,t,n){return{boxes:Rx("boxes",e,t,n),scores:Rx("scores",e,t,n),maxOutputSize:Rx("maxOutputSize",e,t,n),iouThreshold:Rx("iouThreshold",e,t,n),scoreThreshold:Rx("scoreThreshold",e,t,n),softNmsSigma:Rx("softNmsSigma",e,t,n)}}class Nk{constructor(e,t){this.keyDType=e,this.valueDType=t,this.handle=Wo(0),this.tensorMap=new Map,go(this.handle)}get id(){return this.handle.id}clearAndClose(){this.tensorMap.forEach((e=>e.dispose())),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return Wo(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);const n=await e.data();return this.tensorMap.forEach((e=>e.dispose())),this.tensorMap.clear(),po((()=>{const e=Sh(t),r=n.length,a=e.length;Q(r===a,(()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${a} elements.`));for(let t=0;t{const e=[];for(let r=0;r{switch(e.category){case"arithmetic":return po((()=>((e,t,n)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[No(Rx("a",e,t,n),Rx("b",e,t,n))];case"AddN":return[il(Rx("tensors",e,t,n))];case"FloorMod":case"Mod":return[dc(Rx("a",e,t,n),Rx("b",e,t,n))];case"Mul":return[Do(Rx("a",e,t,n),Rx("b",e,t,n))];case"RealDiv":case"Div":return[Ao(Rx("a",e,t,n),Rx("b",e,t,n))];case"DivNoNan":return[du(Rx("a",e,t,n),Rx("b",e,t,n))];case"FloorDiv":return[Io(Rx("a",e,t,n),Rx("b",e,t,n))];case"Sub":return[Xo(Rx("a",e,t,n),Rx("b",e,t,n))];case"Minimum":return[hc(Rx("a",e,t,n),Rx("b",e,t,n))];case"Maximum":return[Qo(Rx("a",e,t,n),Rx("b",e,t,n))];case"Pow":return[Go(Rx("a",e,t,n),Rx("b",e,t,n))];case"SquaredDifference":return[hh(Rx("a",e,t,n),Rx("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"basic_math":return po((()=>((e,t,n)=>{switch(e.op){case"Abs":case"ComplexAbs":return[qo(Rx("x",e,t,n))];case"Acos":return[al(Rx("x",e,t,n))];case"Acosh":return[sl(Rx("x",e,t,n))];case"Asin":return[hl(Rx("x",e,t,n))];case"Asinh":return[fl(Rx("x",e,t,n))];case"Atan":return[dl(Rx("x",e,t,n))];case"Atan2":return[pl(Rx("x",e,t,n),Rx("y",e,t,n))];case"Atanh":return[ml(Rx("x",e,t,n))];case"Ceil":return[jl(Rx("x",e,t,n))];case"Complex":return[Qa(Rx("real",e,t,n),Rx("imag",e,t,n))];case"Cos":return[ru(Rx("x",e,t,n))];case"Cosh":return[au(Rx("x",e,t,n))];case"Elu":return[gu(Rx("x",e,t,n))];case"Erf":return[yu(Rx("x",e,t,n))];case"Exp":return[bu(Rx("x",e,t,n))];case"Expm1":return[wu(Rx("x",e,t,n))];case"Floor":return[ku(Rx("x",e,t,n))];case"Log":return[Bu(Rx("x",e,t,n))];case"Log1p":return[$u(Rx("x",e,t,n))];case"Imag":return[Nu(Rx("x",e,t,n))];case"Neg":return[Pu(Rx("x",e,t,n))];case"Reciprocal":return[Lc(Rx("x",e,t,n))];case"Real":return[Pc(Rx("x",e,t,n))];case"Relu":return[zc(Rx("x",e,t,n))];case"Round":return[Xc(Rx("x",e,t,n))];case"Selu":return[qc(Rx("x",e,t,n))];case"Sigmoid":return[Rl(Rx("x",e,t,n))];case"Sin":return[Qc(Rx("x",e,t,n))];case"Sign":return[Zc(Rx("x",e,t,n))];case"Sinh":return[eh(Rx("x",e,t,n))];case"Softplus":return[Lu(Rx("x",e,t,n))];case"Sqrt":return[To(Rx("x",e,t,n))];case"Square":return[Fo(Rx("x",e,t,n))];case"Tanh":return[Ml(Rx("x",e,t,n))];case"Tan":return[gh(Rx("x",e,t,n))];case"ClipByValue":return[Hl(Rx("x",e,t,n),Rx("clipValueMin",e,t,n),Rx("clipValueMax",e,t,n))];case"Relu6":return[Wc(Rx("x",e,t,n))];case"Rsqrt":return[Kc(Ox(e.inputNames[0],t,n))];case"Prod":return[Ic(Rx("x",e,t,n),Rx("axes",e,t,n))];case"LeakyRelu":return[Tu(Rx("x",e,t,n),Rx("alpha",e,t,n))];case"Prelu":return[Nc(Rx("x",e,t,n),Rx("alpha",e,t,n))];case"IsNan":return[Du(Ox(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"control":return(async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{const r=Rx("thenBranch",e,t,n),a=Rx("elseBranch",e,t,n),s=Rx("cond",e,t,n),i=Rx("args",e,t,n);return(await s.data())[0]?n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{const r=Rx("body",e,t,n),a=Rx("cond",e,t,n),s=Rx("args",e,t,n),i=await n.functionMap[a].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map((e=>e.id));let l=await i[0].data();i.forEach((e=>{e.kept||-1!==o.indexOf(e.id)||e.dispose()}));let u=s;for(;l[0];){const e=u;u=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);const t=u.map((e=>e.id));e.forEach((e=>{e.kept||-1!==o.indexOf(e.id)||-1!==t.indexOf(e.id)||e.dispose()}));const s=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await s[0].data(),s.forEach((e=>{e.kept||-1!==o.indexOf(e.id)||-1!==t.indexOf(e.id)||e.dispose()}))}return u}case"LoopCond":return[Lx(Rx("pred",e,t,n))];case"Switch":{const r=Rx("pred",e,t,n);let a=Rx("data",e,t,n);return a.kept||(a=Lx(a)),(await r.data())[0]?[void 0,a]:[a,void 0]}case"Merge":{const r=e.inputNames.find((e=>void 0!==Ox(e,t,n)));return r?[Lx(Ox(r,t,n))]:void 0}case"Enter":{const r=Rx("frameName",e,t,n),a=Rx("tensor",e,t,n);return n.enterFrame(r),[Lx(a)]}case"Exit":{const r=Rx("tensor",e,t,n);return n.exitFrame(),[Lx(r)]}case"NextIteration":{const r=Rx("tensor",e,t,n);return n.nextIteration(),[Lx(r)]}case"TensorArrayV3":{const r=Rx("size",e,t,n),a=Rx("dtype",e,t,n),s=Rx("elementShape",e,t,n),i=Rx("dynamicSize",e,t,n),o=Rx("clearAfterRead",e,t,n),l=Rx("identicalElementShapes",e,t,n),u=Rx("name",e,t,n),c=new kk(u,a,r,s,l,i,o);return n.addTensorArray(c),[c.idTensor,Wo(1)]}case"TensorArrayWriteV3":{const r=Rx("tensorArrayId",e,t,n),a=Rx("index",e,t,n),s=Rx("tensor",e,t,n),i=n.getTensorArray(r.id);return i.write(a,s),[i.idTensor]}case"TensorArrayReadV3":{const r=Rx("tensorArrayId",e,t,n),a=Rx("index",e,t,n);return[n.getTensorArray(r.id).read(a)]}case"TensorArrayGatherV3":{const r=Rx("tensorArrayId",e,t,n),a=Rx("indices",e,t,n),s=Rx("dtype",e,t,n);return[n.getTensorArray(r.id).gather(a,s)]}case"TensorArrayScatterV3":{const r=Rx("tensorArrayId",e,t,n),a=Rx("indices",e,t,n),s=Rx("tensor",e,t,n),i=n.getTensorArray(r.id);return i.scatter(a,s),[i.idTensor]}case"TensorArrayConcatV3":{const r=Rx("tensorArrayId",e,t,n),a=n.getTensorArray(r.id),s=Rx("dtype",e,t,n);return[a.concat(s)]}case"TensorArraySplitV3":{const r=Rx("tensorArrayId",e,t,n),a=Rx("tensor",e,t,n),s=Rx("lengths",e,t,n),i=n.getTensorArray(r.id);return i.split(s,a),[i.idTensor]}case"TensorArraySizeV3":{const r=Rx("tensorArrayId",e,t,n);return[Wo(n.getTensorArray(r.id).size(),"int32")]}case"TensorArrayCloseV3":{const r=Rx("tensorArrayId",e,t,n),a=n.getTensorArray(r.id);return a.clearAndClose(),[a.idTensor]}case"TensorListSetItem":{const r=Rx("tensorListId",e,t,n),a=Rx("index",e,t,n),s=Rx("tensor",e,t,n),i=n.getTensorList(r.id);return i.setItem(a,s),[i.idTensor]}case"TensorListGetItem":{const r=Rx("tensorListId",e,t,n),a=Rx("index",e,t,n),s=Rx("elementShape",e,t,n),i=Rx("elementDType",e,t,n);return[n.getTensorList(r.id).getItem(a,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{const r=Rx("indices",e,t,n),a=function(e,t,n,r){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);const a=Math.max(...t);if(null!=r&&-1!==r&&a>=r)throw new Error(`Max index must be < array size (${a} vs. ${r})`);const s=new Ek([],n,e.dtype,r),i=Sh(e,0);return t.forEach(((e,t)=>{s.setItem(e,i[t])})),s}(Rx("tensor",e,t,n),r,Rx("elementShape",e,t,n),Rx("numElements",e,t,n));return n.addTensorList(a),[a.idTensor]}case"TensorListReserve":case"EmptyTensorList":{const r=Rx("elementShape",e,t,n),a=Rx("elementDType",e,t,n);let s;s="TensorListReserve"===e.op?"numElements":"maxNumElements";const i=function(e,t,n){return new Ek([],e,t,n)}(r,a,Rx(s,e,t,n));return n.addTensorList(i),[i.idTensor]}case"TensorListGather":{const r=Rx("tensorListId",e,t,n),a=Rx("indices",e,t,n),s=Rx("elementShape",e,t,n),i=Rx("elementDType",e,t,n);return[n.getTensorList(r.id).gather(a,i,s)]}case"TensorListStack":{const r=Rx("tensorListId",e,t,n),a=Rx("elementShape",e,t,n),s=Rx("elementDType",e,t,n),i=Rx("numElements",e,t,n);return[n.getTensorList(r.id).stack(a,s,i)]}case"TensorListFromTensor":{const r=function(e,t,n){const r=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data 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s=xk(e.shape.slice(1),n),i=0===r?0:e.size/r,o=po((()=>{const n=[];e=Al(e,[1,r,i]);for(let r=0;r((e,t,n)=>{switch(e.op){case"Conv1D":{const r=Rx("stride",e,t,n),a=Rx("pad",e,t,n),s=Rx("dataFormat",e,t,n).toUpperCase(),i=Rx("dilation",e,t,n);return[Jl(Rx("x",e,t,n),Rx("filter",e,t,n),r,a,s,i)]}case"Conv2D":{const 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po((()=>((e,t,n)=>{switch(e.op){case"TopKV2":{const r=Rx("x",e,t,n),a=Rx("k",e,t,n),s=Rx("sorted",e,t,n),i=xh(r,a,s);return[i.values,i.indices]}case"Unique":{const r=Rx("x",e,t,n),a=Eh(r);return[a.values,a.indices]}case"UniqueV2":{const r=Rx("x",e,t,n),a=Rx("axis",e,t,n),s=Eh(r,a);return[s.values,s.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"image":return po((()=>((e,t,n)=>{switch(e.op){case"ResizeBilinear":{const r=Rx("images",e,t,n),a=Rx("size",e,t,n),s=Rx("alignCorners",e,t,n),i=Rx("halfPixelCenters",e,t,n);return[zf.resizeBilinear(r,[a[0],a[1]],s,i)]}case"ResizeNearestNeighbor":{const r=Rx("images",e,t,n),a=Rx("size",e,t,n),s=Rx("alignCorners",e,t,n),i=Rx("halfPixelCenters",e,t,n);return[zf.resizeNearestNeighbor(r,[a[0],a[1]],s,i)]}case"CropAndResize":{const 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po((()=>((e,t,n)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[pi(Rx("a",e,t,n),Rx("b",e,t,n),Rx("transposeA",e,t,n),Rx("transposeB",e,t,n))];case"Einsum":return[mu(Rx("equation",e,t,n),...Rx("tensors",e,t,n))];case"Transpose":return[gi(Rx("x",e,t,n),Rx("perm",e,t,n))];case"_FusedMatMul":const[r,a]=Rx("fusedOps",e,t,n),s="biasadd"===r,i="prelu"===a,o=Rx("numArgs",e,t,n),l=Rx("leakyreluAlpha",e,t,n);if(s){if(i&&2!==o)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&1!==o)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}const[u,c]=Rx("args",e,t,n);return[Yh({a:Rx("a",e,t,n),b:Rx("b",e,t,n),transposeA:Rx("transposeA",e,t,n),transposeB:Rx("transposeB",e,t,n),bias:u,activation:a,preluActivationWeights:c,leakyreluAlpha:l})];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"normalization":return po((()=>((e,t,n)=>{switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[Pl(Rx("x",e,t,n),Rx("mean",e,t,n),Rx("variance",e,t,n),Rx("offset",e,t,n),Rx("scale",e,t,n),Rx("epsilon",e,t,n))];case"LRN":return[Mu(Rx("x",e,t,n),Rx("radius",e,t,n),Rx("bias",e,t,n),Rx("alpha",e,t,n),Rx("beta",e,t,n))];case"Softmax":return[sh(Rx("x",e,t,n))];case"LogSoftmax":return[Vu(Rx("x",e,t,n))];case"SparseToDense":return[Mh(Rx("sparseIndices",e,t,n),Rx("outputShape",e,t,n),Rx("sparseValues",e,t,n),Rx("defaultValue",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"reduction":return po((()=>((e,t,n)=>{switch(e.op){case"Max":{const r=Rx("axis",e,t,n),a=Rx("keepDims",e,t,n);return[Wu(Rx("x",e,t,n),r,a)]}case"Mean":{const r=Rx("axis",e,t,n),a=Rx("keepDims",e,t,n);return[ic(Rx("x",e,t,n),r,a)]}case"Min":{const r=Rx("axis",e,t,n),a=Rx("keepDims",e,t,n);return[cc(Rx("x",e,t,n),r,a)]}case"Sum":{const 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r=Rx("n",e,t,n),a=Rx("axis",e,t,n);let s=Rx("tensors",e,t,n);return s=s.slice(0,r),[Fl(s,a)]}case"Gather":{const r=Rx("x",e,t,n),a=Rx("indices",e,t,n);return[Eu(r,Ks(a,"int32"),0)]}case"GatherV2":{const r=Rx("axis",e,t,n),a=Rx("batchDims",e,t,n),s=Rx("x",e,t,n),i=Rx("indices",e,t,n);return[Eu(s,Ks(i,"int32"),r,a)]}case"Reverse":{const r=Rx("dims",e,t,n),a=[];for(let e=0;e{const r=Rx("axis",e,t,n),a=Rx("tensors",e,t,n),s=a[0].shape,i=fh(a[0]).shape,o=a.map((e=>{const t=se(e.shape,s);if(!t&&!se(fh(e).shape,i))throw new Error("the input tensors shape does not match");return t?e:Al(e,s)}));return[dh(o,r)]}));case"Unpack":{const r=Rx("axis",e,t,n),a=Rx("tensor",e,t,n);return Sh(a,r)}case"Tile":{const r=Rx("reps",e,t,n);return[_u(Rx("x",e,t,n),r)]}case"Split":case"SplitV":{const r=Rx("axis",e,t,n),a=Rx("numOrSizeSplits",e,t,n),s=Rx("x",e,t,n);return uh(s,a,r)}case"ScatterNd":{const r=Rx("indices",e,t,n),a=Rx("values",e,t,n),s=Rx("shape",e,t,n);return[Oh(r,a,s)]}case"GatherNd":{const r=Rx("x",e,t,n),a=Rx("indices",e,t,n);return[Bh(r,a)]}case"SparseToDense":{const r=Rx("sparseIndices",e,t,n),a=Rx("outputShape",e,t,n),s=Rx("sparseValues",e,t,n),i=Rx("defaultValue",e,t,n);return[Mh(r,s,a,s.dtype===i.dtype?i:Ks(i,s.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"sparse":return po((()=>((e,t,n)=>{switch(e.op){case"SparseReshape":{const{outputIndices:r,outputShape:a}=Vf.sparseReshape(Rx("inputIndices",e,t,n),Rx("inputShape",e,t,n),Rx("newShape",e,t,n));return[r,a]}default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"spectral":return po((()=>((e,t,n)=>{switch(e.op){case"FFT":return[ih(Rx("x",e,t,n))];case"IFFT":return[oh(Rx("x",e,t,n))];case"RFFT":return[ch(Rx("x",e,t,n))];case"IRFFT":return[lh(Rx("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"transformation":return po((()=>((e,t,n)=>{switch(e.op){case"Cast":return[Ks(Rx("x",e,t,n),Rx("dtype",e,t,n))];case"ExpandDims":{const r=Rx("axis",e,t,n);return[vu(Rx("x",e,t,n),r)]}case"Squeeze":{const r=Rx("axis",e,t,n);return[fh(Rx("x",e,t,n),r)]}case"Reshape":return[Al(Rx("x",e,t,n),Rx("shape",e,t,n))];case"MirrorPad":return[fc(Rx("x",e,t,n),Rx("padding",e,t,n),Rx("mode",e,t,n))];case"PadV2":case"Pad":return[wc(Rx("x",e,t,n),Rx("padding",e,t,n),Rx("constantValue",e,t,n))];case"SpaceToBatchND":{const r=Rx("blockShape",e,t,n),a=Rx("paddings",e,t,n);return[Cc(Rx("x",e,t,n),r,a)]}case"BatchToSpaceND":{const r=Rx("blockShape",e,t,n),a=Rx("crops",e,t,n);return[$l(Rx("x",e,t,n),r,a)]}case"DepthToSpace":{const r=Rx("blockSize",e,t,n),a=Rx("dataFormat",e,t,n).toUpperCase();return[ou(Rx("x",e,t,n),r,a)]}case"BroadcastTo":return[Vl(Rx("x",e,t,n),Rx("shape",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n)));case"hash_table":return(async(e,t,n,r)=>{switch(e.op){case"HashTable":case"HashTableV2":{const a=Rx("keyDType",e,t,n),s=Rx("valueDType",e,t,n),i=new Nk(a,s);return r.addHashTable(e.name,i),[i.handle]}case"LookupTableImport":case"LookupTableImportV2":{const a=Rx("tableHandle",e,t,n,r),s=Rx("keys",e,t,n),i=Rx("values",e,t,n),o=r.getHashTableById(a.id);return[await o.import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{const a=Rx("tableHandle",e,t,n,r),s=Rx("keys",e,t,n),i=Rx("defaultValue",e,t,n),o=r.getHashTableById(a.id);return[await o.find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{const a=Rx("tableHandle",e,t,n,r);return[r.getHashTableById(a.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n,r);case"custom":const a=Tx(e.op);if(a&&a.customExecutor)return a.customExecutor(new bk(e,t,n));throw TypeError(`Custom op ${e.op} is not registered.`);default:throw TypeError(`Unknown op '${e.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return Pe(a)?a.then((e=>[].concat(e))):[].concat(a)}class Ak{constructor(e={},t={},n={},r={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){const e=[];for(let t=0;t0===e.id&&0===e.iterationId?"":`${e.frameName}-${e.iterationId}`)).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()}nextIteration(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");{this.contexts=this.contexts.slice(),this.lastId++;const e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(const t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(const t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}}function Dk(e,t,n,r){const a=new Set,s=[];let i=null,o=null;const l=new Set,u=Object.keys(e).map((e=>$x(e)[0]));let c=[];null!=r&&(c=r.map((e=>$x(e.name)[0])));const h=[...t];for(;h.length>0;){const e=h.pop();(Ok(e)||Mk(e)||Bk(e))&&null==i&&(i=e,o=i.children.map((e=>e.name)).filter((e=>a.has(e)))),a.add(e.name),null==n[e.name]&&-1===u.indexOf(e.name)&&-1===c.indexOf(e.name)&&(0!==e.inputs.length?e.inputs.forEach((e=>{l.has(e.name)||(l.add(e.name),h.push(e))})):s.push(e.name))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:s,dynamicNode:i,syncInputs:o}}const Tk=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],Fk=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],Rk=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function Ok(e){return Tk.indexOf(e.op)>=0}function Mk(e){return Fk.indexOf(e.op)>=0}function Bk(e){return Rk.indexOf(e.op)>=0}class $k{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,null!=e.functions&&Object.keys(e.functions).forEach((t=>{this._functionExecutorMap[t]=new $k(e.functions[t],this)}))}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){const t=Object.keys(e).map((t=>e[t].map((e=>e.id))));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map((e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0})))}get outputs(){return this._outputs.map((e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0})))}get inputNodes(){return this._inputs.map((e=>e.signatureKey||e.name))}get outputNodes(){return this._outputs.map((e=>{const t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t}))}get functions(){return Object.keys(this._functions).reduce(((e,t)=>(e[t]=this._functions[t].signature,e)),{})}getCompilationKey(e,t){const n=e.map((e=>e.name)).sort(),r=t.map((e=>e.name)).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)}compile(e,t){const n=Dk(e,t,this.weightMap,this._initNodes),{missingInputs:r,dynamicNode:a,syncInputs:s}=n;if(null!=a)throw new Error(`This execution contains the node '${a.name}', which has the dynamic op '${a.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(r.length>0){const n=t.map((e=>e.name)),a=Object.keys(e);throw new Error(`Cannot compute the outputs [${n}] from the provided inputs [${a}]. Missing the following inputs: [${r}]`)}return function(e,t,n){const{usedNodes:r,inputs:a}=n,s=[],i=Object.keys(a).map((e=>$x(e)[0])).map((t=>e.nodes[t])),o=e.initNodes;i.forEach((e=>{r.has(e.name)&&s.push(e)})),e.weights.forEach((e=>{r.has(e.name)&&s.push(e)})),null!=o&&o.forEach((e=>{r.has(e.name)&&s.push(e)}));const l=new Set,u=[];for(;s.length>0;){const e=s.pop();l.add(e.name),t[e.name]||u.push(e),e.children.forEach((e=>{!l.has(e.name)&&r.has(e.name)&&e.inputs.every((e=>l.has(e.name)))&&s.push(e)}))}return u}(this.graph,this.weightMap,n)}execute(e,t){e=this.mapInputs(e);const n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);const r=n.map((e=>this.graph.nodes[$x(e)[0]])),a=t.map((e=>$x(e)[0]));let s=a.map((e=>this.graph.nodes[e]));0===s.length&&(s=this._outputs);const i=this.getCompilationKey(r,s);let o=this.compiledMap.get(i);null==o&&(o=this.compile(e,s),this.compiledMap.set(i,o));const l={},u={};return po((()=>{const n=new Ak(this.weightMap,l,u,this.functionExecutorMap),r=Object.assign({},this.weightMap);Object.keys(e).forEach((t=>{const[n,a]=$x(t),s=[];s[a]=e[t],r[n]=s}));const s=this.getFrozenTensorIds(r),i={};for(let e=0;eOx(e,r,n)))}))}getFrozenTensorIds(e){const t=[].concat.apply([],Object.keys(e).map((t=>e[t])).map((e=>e.map((e=>e.id)))));return new Set(t)}checkTensorForDisposal(e,t,n,r,a,s,i){"control"!==t.category&&-1===s.indexOf(e)&&(n[e].forEach((e=>{null!=e&&(i[e.id]=(i[e.id]||0)+t.children.length)})),t.inputs.forEach((e=>{if("control"!==e.category){const t=function(e,t,n){return t[Bx(e,n.currentContextId)]}(e.name,n,r);null!=t&&t.forEach((e=>{if(e&&!e.kept&&!a.has(e.id)){const t=i[e.id];1===t?(e.dispose(),delete i[e.id]):null!=t&&i[e.id]--}}))}})))}async executeAsync(e,t){return this._executeAsync(e,t)}async _executeAsync(e,t,n=!1,r={},a={}){n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));const s=new Ak(this.weightMap,r,a,this.functionExecutorMap),i=await this.executeWithControlFlow(e,s,t,n),o=t.map((e=>Ox(e,i,s))),l=o.map((e=>e.id)),u=Object.keys(e).map((t=>e[t].id)),c=new Set([...l,...u,...this.weightIds]);return Object.keys(i).forEach((e=>{i[e].forEach((e=>{!e||e.kept||e.isDisposed||c.has(e.id)||e.dispose()}))})),null==this.parent&&s.dispose(c),o}async executeFunctionAsync(e,t,n){const r=e.reduce(((e,t,n)=>(e[this.inputs[n].name]=t,e)),{});return this._executeAsync(r,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,r){const a=Object.keys(e),s=a.map((e=>this.graph.nodes[$x(e)[0]])),i=n.map((e=>$x(e)[0]));let o=i.map((e=>this.graph.nodes[e]));0===o.length&&(o=this._outputs);const{usedNodes:l,missingInputs:u,dynamicNode:c,syncInputs:h}=Dk(e,o,this.weightMap,this._initNodes),f=[...s,...this.graph.weights,...this._initNodes||[]].map((e=>({node:e,contexts:t.currentContext}))),d=Object.assign({},this.weightMap);Object.keys(e).forEach((t=>{const[n,r]=$x(t),a=[];a[r]=e[t],d[n]=a}));const p={},m=this.getFrozenTensorIds(d),g={};for(;f.length>0;){const e=this.processStack(s,f,t,d,g,m,i,p,l);await Promise.all(e)}null!=c||r||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");const y=o.filter((e=>!Ok(e)&&!Ox(e.name,d,t))).map((e=>e.name));if(y.length>0){let e="";throw null!=c&&(e=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${h}]`),new Error(`Cannot compute the outputs [${y}] from the provided inputs [${a}]. Consider providing the following inputs: [${u}]. ${e}`)}return d}processStack(e,t,n,r,a,s,i,o,l){const u=[];for(;t.length>0;){const e=t.pop();n.currentContext=e.contexts;let c="";if("Enter"===e.node.op&&Rx("isConstant",e.node,r,n)&&([c]=Mx(e.node.name,n)),null==r[e.node.name]){const h=Ik(e.node,r,n,this._resourceManager);c||([c]=Mx(e.node.name,n));const f=n.currentContext;Pe(h)?u.push(h.then((u=>(r[c]=u,n.currentContext=f,this.checkTensorForDisposal(c,e.node,r,n,s,i,o),this.processChildNodes(e.node,t,n,r,a,l),u)))):(r[c]=h,this.checkTensorForDisposal(c,e.node,r,n,s,i,o),this.processChildNodes(e.node,t,n,r,a,l))}else this.processChildNodes(e.node,t,n,r,a,l)}return u}processChildNodes(e,t,n,r,a,s){e.children.forEach((e=>{const[i]=Mx(e.name,n);!a[i]&&s.has(e.name)&&("Merge"===e.op?e.inputNames.some((e=>!!Ox(e,r,n)))&&(a[i]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((e=>!!Ox(e,r,n)))&&(a[i]=!0,t.push({contexts:n.currentContext,node:e})))}))}dispose(){Object.keys(this.weightMap).forEach((e=>this.weightMap[e].forEach((e=>e.dispose()))))}checkInputShapeAndType(e){Object.keys(e).forEach((t=>{const n=e[t],[r]=$x(t),a=this.graph.nodes[r];if(a.attrParams.shape&&a.attrParams.shape.value){const e=a.attrParams.shape.value;Q(e.length===n.shape.length&&n.shape.every(((t,n)=>-1===e[n]||e[n]===t)),(()=>`The shape of dict['${a.name}'] provided in model.execute(dict) must be [${e}], but was [${n.shape}]`))}a.attrParams.dtype&&a.attrParams.dtype.value&&Q(n.dtype===a.attrParams.dtype.value,(()=>`The dtype of dict['${a.name}'] provided in model.execute(dict) must be ${a.attrParams.dtype.value}, but was ${n.dtype}`))}))}mapInputs(e){const t={};for(const n in e)null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[n]?t[this._signature.inputs[n].name]=e[n]:t[n]=e[n];return t}checkInputs(e){const t=Object.keys(e).filter((e=>{const[t]=$x(e);return null==this.graph.nodes[t]}));if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map((e=>null!=this._signature&&null!=this._signature.outputs&&null!=this._signature.outputs[e]?this._signature.outputs[e].name:e),{})}checkOutputs(e){e.forEach((e=>{const[t]=$x(e);if(!this.graph.nodes[t])throw new Error(`The output '${e}' is not found in the graph`)}))}}class Pk{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(const e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(const e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}}class Lk{constructor(e,t={}){this.modelUrl=e,this.loadOptions=t,this.version="n/a",null==t&&(this.loadOptions={}),this.resourceManager=new Pk}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}findIOHandler(){const e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=ui(e,this.loadOptions);else{const t=gs(e,this.loadOptions);if(0===t.length)t.push(ui(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}async load(){if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");const e=await this.handler.load();return this.loadSync(e)}loadSync(e){this.artifacts=e;const t=this.artifacts.modelTopology;let n;n=null!=this.artifacts.userDefinedMetadata&&null!=this.artifacts.userDefinedMetadata.signature?this.artifacts.userDefinedMetadata.signature:this.artifacts.signature,this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;const r=as(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new $k(rk.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),this.executor.resourceManager=this.resourceManager,null!=e.modelInitializer&&null!=e.modelInitializer.node){const t=rk.Instance.transformGraph(e.modelInitializer);this.initializer=new $k(t),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}async save(e,t){if("string"==typeof e){const t=ms(e);if(0===t.length)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(t.length>1)throw new Error(`Found more than one (${t.length}) save handlers for URL '${e}'`);e=t[0]}if(null==e.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}predict(e,t){return this.execute(e,this.outputNodes)}normalizeInputs(e){if(!(e instanceof _a||Array.isArray(e)))return e;if((e=Array.isArray(e)?e:[e]).length!==this.inputNodes.length)throw new Error(`Input tensor count mismatch,the graph model has ${this.inputNodes.length} placeholders, while there are ${e.length} input tensors.`);return this.inputNodes.reduce(((t,n,r)=>(t[n]=e[r],t)),{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}execute(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);const n=this.executor.execute(e,t);return n.length>1?n:n[0]}async executeAsync(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);const n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce(((t,n)=>(t[n]=[e[n]],t)),{})}dispose(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}}async function zk(e,t={}){if(null==e)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");null==t&&(t={}),t.fromTFHub&&null==e.load&&(e.endsWith("/")||(e+="/"),e=`${e}model.json?tfjs-format=file`);const n=new Lk(e,t);return await n.load(),n}const Wk="3.6.0";function Uk(e,t,n=new Map,r=new Set){if(null==e)return null;if(r.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);const a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep map function may not return both a value and recurse=true.");if(a.recurse){if(Xk(e)){const a=Array.isArray(e)?[]:{};r.add(e);for(const s in e){const i=Uk(e[s],t,n,r);a[s]=i}return r.delete(e),a}throw new Error(`Can't recurse into non-iterable type: ${e}`)}return n.set(e,a.value),a.value}function Vk(e,t=Hk){return jk(e,t)}function jk(e,t,n=new Set){const r=e[0];if(n.has(r))throw new Error("Circular references are not supported.");const a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep zip function may not return both a value and recurse=true.");if(a.recurse){if(Xk(r)){const a=Array.isArray(r)?[]:{};n.add(r);for(const s in r){const r=jk(e.map((e=>e[s])),t,n);a[s]=r}return n.delete(r),a}throw new Error(`Can't recurse into non-iterable type: ${r}`)}return a.value}function Hk(e){return null===e?null:Xk(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function Gk(e,t){const n=new Map;Uk(e,t,n);for(const e of Array.from(n.keys())){const t=n.get(e);if(Pe(t)){const r=await t;n.set(e,r)}}return Uk(e,t,n)}function Xk(e){return null!=e&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||"object"==typeof e&&!(e instanceof _a))}function Kk(e){return e instanceof _a?{value:e.clone(),recurse:!1}:Xk(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}class qk{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,null==e)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return 0===this.length()}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(const t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);const e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");const e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");const t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}}class Yk extends qk{constructor(){super(Yk.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){const e=2*this.capacity,t=new Array(e),n=this.length();for(let e=0;e!0===e))}rowMajorBatch(e,t=!0){return new sE(this,e,t)}columnMajorBatch(e,t=!0,n=Hk){return this.rowMajorBatch(e,t).map((e=>Vk(e,n)))}concatenate(e,t){return new fE(Jk([this,e]),t)}take(e){return e<0||null==e?this:new aE(this,e)}skip(e){return e<0||null==e?this:new rE(this,e)}prefetch(e){return new mE(this,e)}shuffle(e,t){return new gE(this,e,t)}serial(){return new nE(this)}}class eE extends Qk{constructor(e){super(),this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};const e=this.items[this.trav];return this.trav++,{value:(t=e,function(e,t){return Uk(e,t)}(t,Kk)),done:!1};var t}}class tE extends Qk{constructor(e){super(),this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}}class nE extends Qk{constructor(e){super(),this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){return this.upstream.next()}}class rE extends Qk{constructor(e,t){super(),this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}}class sE extends Qk{constructor(e,t,n=!0){super(),this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){const e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}}class iE extends Qk{constructor(e,t){super(),this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){for(;;){const e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;mo(e.value)}}}class oE extends Qk{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){const e=await this.upstream.next();if(e.done)return{value:null,done:!0};const t=Ma(e.value),n=this.transform(e.value),r=Ma(n);for(const e of t)Oa(e,r)||e.dispose();return{value:n,done:!1}}}class lE extends Qk{constructor(e,t){super(),this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}}class uE extends Qk{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){const e=await this.upstream.next();if(e.done)return{value:null,done:!0};const t=Ma(e.value),n=await this.transform(e.value),r=Ma(n);for(const e of t)Oa(e,r)||e.dispose();return{value:n,done:!1}}}class cE extends Qk{constructor(){super(),this.outputQueue=new Yk,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}async serialNext(){for(;0===this.outputQueue.length();)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}}class hE extends cE{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){const e=await this.upstream.next();if(e.done)return!1;const t=Ma(e.value),n=this.transform(e.value),r=Ma(n);this.outputQueue.pushAll(n);for(const e of t)Oa(e,r)||e.dispose();return!0}}class fE extends Qk{constructor(e,t){super(),this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,null==this.iterator){const e=await this.moreIterators.next();if(e.done)return{value:null,done:!0};this.iterator=e.value,null!=this.baseErrorHandler&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}const t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}}var dE;!function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"}(dE||(dE={}));class pE extends Qk{constructor(e,t=dE.FAIL){super(),this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;const r=await Gk(this.iterators,(function(e){return e instanceof Qk?{value:e.next().then((e=>(t++,e.done&&n++,e.value))),recurse:!1}:{value:null,recurse:!0}}));if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case dE.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case dE.SHORTEST:return{value:null,done:!0};case dE.LONGEST:}return this.count++,{value:r,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}}class mE extends Qk{constructor(e,t){super(),this.upstream=e,this.bufferSize=t,this.buffer=new qk(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){const e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}}class gE extends mE{constructor(e,t,n){super(e,t),this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=Dc.alea(n||sa().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then((()=>this.serialNext())),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){const e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(!t.done)return this.refill(),t;this.upstreamExhausted=!0}return{value:null,done:!0}}}class yE{constructor(){this.size=null}batch(e,t=!0){const n=this;let r;return Q(e>0,(()=>`batchSize needs to be positive, but it is\n ${e}`)),r=this.size===1/0||null==this.size?this.size:t?Math.ceil(this.size/e):Math.floor(this.size/e),bE((async()=>(await n.iterator()).columnMajorBatch(e,t,_E)),r)}concatenate(e){const t=this;let n;return n=this.size===1/0||e.size===1/0?1/0:null!=this.size&&null!=e.size?this.size+e.size:null,bE((async()=>(await t.iterator()).concatenate(await e.iterator())),n)}filter(e){const t=this;let n;return n=this.size===1/0?1/0:null,bE((async()=>(await t.iterator()).filter((t=>po((()=>e(t)))))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){const t=this;return bE((async()=>(await t.iterator()).map((t=>po((()=>e(t)))))),this.size)}mapAsync(e){const t=this;return bE((async()=>(await t.iterator()).mapAsync(e)),this.size)}prefetch(e){if(null==e)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");const t=this;return bE((async()=>(await t.iterator()).prefetch(e)),this.size)}repeat(e){const t=this;let n;return n=null!=this.size&&e>0?this.size*e:0===e?0:null!=this.size&&(void 0===e||e<0)?1/0:null,bE((async()=>{return n=Zk((async()=>({value:await t.iterator(),done:!1}))).take(e),new fE(n,r);var n,r}),n)}skip(e){const t=this;let n;return n=null!=this.size&&e>=0&&this.size>=e?this.size-e:null!=this.size&&(this.size(await t.iterator()).skip(e)),n)}shuffle(e,t,n=!0){if(null==e||e<0)throw null==this.size?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);const r=this,a=Dc.alea(t||sa().toString());return bE((async()=>{let t=a.int32();return n&&(t+=a.int32()),(await r.iterator()).shuffle(e,t.toString())}),this.size)}take(e){const t=this;let n;return n=null!=this.size&&this.size>e?e:null!=this.size&&this.size<=e?this.size:null,bE((async()=>(await t.iterator()).take(e)),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}}function bE(e,t=null){return new class extends yE{constructor(){super(...arguments),this.size=t}async iterator(){return e()}}}function vE(e){return bE((async()=>Jk(e)),e.length)}function wE(e){if(!Xk(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;nfunction(e,t=dE.FAIL){return new pE(e,t)}(await Gk(e,(e=>{if(e instanceof yE)return{value:e.iterator(),recurse:!1};if(Xk(e))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")})),dE.SHORTEST)),t)}function _E(e){if(null===e)return null;return null==(t=e[0])||null===(n=t)||"object"!=typeof n&&"function"!=typeof n||Array.isArray(t)||"object"==typeof t&&t instanceof _a||we(t)?{value:function(e){if(0===e.length)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof _a?dh(e):ts(e)}(e),recurse:!1}:{value:null,recurse:!0};var t,n}yE.MAX_BUFFER_SIZE=1e4;class xE extends yE{constructor(e){super(),this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split("\n").map((e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e)))}}const kE='"',EE=Symbol("out"),CE=Symbol("field"),SE=Symbol("quote"),NE=Symbol("quoteafterquote"),IE=Symbol("quoteinquote");class AE extends yE{constructor(e,t){super(),this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new xE(e),t||(t={}),this.hasHeader=!1!==t.hasHeader,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(Q(null==t.delimiter,(()=>"Delimiter should not be provided when delimWhitespace is true.")),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){const e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&Q(e.length===this.fullColumnNames.length,(()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+").")),this.fullColumnNames||(this.fullColumnNames=e);const t=this.fullColumnNames.reduce(((e,t)=>(e[t]=e[t]+1||1,e)),{}),n=Object.keys(t).filter((e=>t[e]>1));if(Q(0===n.length,(()=>"Duplicate column names found: "+n.toString())),this.columnConfigs)for(const e of Object.keys(this.columnConfigs))if(-1===this.fullColumnNames.indexOf(e))throw new Error('The key "'+e+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").");this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){const e=await this.base.iterator(),t=await e.next();if(t.done)throw new Error("No data was found for CSV parsing.");const n=t.value;return this.parseRow(n,!1)}return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map((e=>this.makeDataElement(e)))}makeDataElement(e){const t=this.parseRow(e),n={},r={};for(let a=0;a14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=!1!==e.includeSpectrogram,this.includeWaveform=!0===e.includeWaveform,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(We().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");const t=new DE(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:null==this.audioTrackConstraints||this.audioTrackConstraints,video:!1})}catch(e){throw new Error(`Error thrown while initializing video stream: ${e.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");const e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,this.sampleRateHz){if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`)}else this.sampleRateHz=this.audioContext.sampleRate;const t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t;const n=await this.getAudioData();if(this.includeSpectrogram){const t=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(t,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){const e=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(e,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){const e=[],t=[];let n=0;return new Promise((r=>{const a=setInterval((()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&r({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(a),r({freqDataQueue:e,timeDataQueue:t}))}),this.fftSize/this.sampleRateHz*1e3)}))}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){const t=e[0].length,n=new Float32Array(e.length*t);return e.forEach(((e,r)=>n.set(e,r*t))),n}getTensorFromAudioDataArray(e,t){const n=new Float32Array(re(t));return n.set(e,n.length-e.length),ts(n,t)}}class TE extends Qk{constructor(e,t){if(super(),this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=yh([0],"int32"),this.webcamConfig.centerCrop){const e=1*this.webcamConfig.resizeWidth/this.webcamVideoElement.width,t=1*this.webcamConfig.resizeHeight/this.webcamVideoElement.height,n=(1-e)/2,r=(1-t)/2,a=n+e,s=t+r;this.cropBox=bh([r,n,s,a],[1,4])}else this.cropBox=bh([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(We().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}const n=new TE(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&Q("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,(()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`));try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise((e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}}))}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=ki(this.webcamVideoElement)}catch(e){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(e)}`)}if(!this.resize)return{value:e,done:!1};try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(e){throw new Error(`Error thrown cropping the video: ${e.message}`)}finally{e.dispose()}}needToResize(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)}cropAndResizeFrame(e){return po((()=>{const t=vu(Ks(e,"float32"),0);let n;n=zf.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");const r=n.shape;return Al(n,r.slice(1))}))}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach((e=>e.stop()));try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}}class FE{}class RE extends Qk{split(e){return new OE(this,e)}}class OE extends RE{constructor(e,t){super(),this.upstream=e,this.impl=new ME(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}}class ME extends cE{constructor(e,t){super(),this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){const e=await this.upstream.next();if(e.done)return""!==this.carryover&&(this.outputQueue.push(this.carryover),this.carryover="",!0);const t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(const e of t.slice(0,-1))this.outputQueue.push(e);return this.carryover=t[t.length-1],!0}}class BE extends Qk{decodeUTF8(){return new $E(this)}}class $E extends RE{constructor(e){super(),this.upstream=e,this.impl=new PE(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}}class PE extends cE{constructor(e){if(super(),this.upstream=e,We().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{const{StringDecoder:e}=n(4589);this.decoder=new e("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){const e=await this.upstream.next();let t,n;return!e.done&&(t=e.value,n=We().get("IS_BROWSER")?this.decoder.decode(t,{stream:!0}):this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0)}}class LE extends BE{constructor(e,t={}){super(),this.file=e,this.options=t,Q(e instanceof Uint8Array||!!We().get("IS_BROWSER")&&(e instanceof File||e instanceof Blob),(()=>"FileChunkIterator only supports File, Blob and Uint8Array right now.")),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1048576}summary(){return`FileChunks ${this.file}`}async next(){if(this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size))return{value:null,done:!0};const e=new Promise(((e,t)=>{const n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{const r=new FileReader;r.onload=n=>{let a=r.result;if(a instanceof ArrayBuffer&&(a=new Uint8Array(a)),!(a instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(a)},r.onabort=e=>t(new Error("Aborted")),r.onerror=e=>t(new Error(e.type));const a=this.file.slice(this.offset,n);r.readAsArrayBuffer(a)}this.offset=n}));return{value:await e,done:!1}}}function zE(e){return"string"==typeof e&&"file://"===e.substr(0,7)}class WE extends FE{constructor(e,t={}){super(),this.input=e,this.options=t}async iterator(){if(zE(this.input)&&We().get("IS_NODE")){const e=n(2993);this.input=e.readFileSync(this.input.substr(7))}return new LE(this.input,this.options)}}class UE extends FE{constructor(e,t={}){super(),this.url=e,this.fileOptions=t}async iterator(){return zE(this.url)?new WE(this.url,this.fileOptions).iterator():async function(e,t={}){let n,r;var a;"string"==typeof e?n=e:(n=e.url,r={method:(a=e).method,headers:a.headers,body:a.body,mode:a.mode,credentials:a.credentials,cache:a.cache,redirect:a.redirect,referrer:a.referrer,integrity:a.integrity});const s=await ia(n,r);if(s.ok){const e=new Uint8Array(await s.arrayBuffer());return new LE(e,t)}throw new Error(s.statusText)}(this.url,this.fileOptions)}}function VE(e,t={}){return new AE(new UE(e),t)}function jE(e){const t=Zk(e);return bE((async()=>t))}function HE(e){return bE((async()=>{const t=await e();return Zk((()=>t.next()))}))}async function GE(e,t){return TE.create(e,t)}async function XE(e){return DE.create(e)}const KE="3.6.0";function qE(e,t){Array.isArray(e)||(e=[e]),e.forEach((e=>{null!=e&&Q("complex64"!==e.dtype,(()=>`${t} does not support complex64 tensors in the CPU backend.`))}))}const YE=Ih;class JE extends j{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new V(this,co())}nextDataId(){return JE.nextDataId++}write(e,t,n){this.firstUse&&(this.firstUse=!1,We().get("IS_NODE")&&fd("\n============================\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\n============================"));const r={id:this.nextDataId()};return this.data.set(r,{values:e,dtype:n,refCount:1}),r}makeTensorInfo(e,t,n){let r;if("string"===t&&null!=n&&n.length>0&&ke(n[0])){const a=n.map((e=>oa(e)));r=this.write(a,e,t)}else r=this.write(n,e,t);return{dataId:r,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){this.data.get(e).refCount++}decRef(e){this.data.has(e)&&this.data.get(e).refCount--}move(e,t,n,r,a){this.data.set(e,{values:t,dtype:r,refCount:a})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){const{dtype:t,complexTensorInfos:n}=this.data.get(e);return"complex64"===t?pd(this.readSync(n.real.dataId),this.readSync(n.imag.dataId)):this.data.get(e).values}bufferSync(e){const t=this.readSync(e.dataId);let n=t;if("string"===e.dtype)try{n=t.map((e=>la(e)))}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return Xs(e.shape,e.dtype,n)}makeOutput(e,t,n){const r=this.write(e,t,n);return co().makeTensorFromDataId(r,t,n,this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;const{complexTensorInfos:n}=this.data.get(e);null!=n&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){const t=sa();return e(),{kernelMs:sa()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){qE([e],"where");const t=this.readSync(e.dataId);return YE(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}}function ZE(e,t,n){return({inputs:r,attrs:a,backend:s})=>{const{x:i}=r;if(qE(i,e),"string"===i.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");const o=s,l=o.data.get(i.dataId).values,u=re(i.shape),c=n||i.dtype,h=ge(c,u);for(let e=0;e{const{x:i}=r;if(qE(i,e),"string"===i.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");const o=s,l=o.data.get(i.dataId).values,u=n||i.dtype,c=t(l,u,a);return o.makeTensorInfo(i.shape,u,c)}}JE.nextDataId=0,Eo("cpu",(()=>new JE),1);const eC=ZE(Wt,(e=>e>=0?e:Math.exp(e)-1)),tC={kernelName:Wt,backendName:"cpu",kernelFunc:eC};function nC(e){const{inputs:t,backend:n}=e,{x:r}=t;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}const rC={kernelName:an,backendName:"cpu",kernelFunc:nC};function aC(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{alpha:s}=r;qE([a],"leakyRelu");const i=re(a.shape),o=n.data.get(a.dataId).values,l=me("float32",i);for(let e=0;e{const i=Zo(t,n),o=i.length,l=Ae(i),u=me(s,re(i)),c=t.length,h=n.length,f=Ae(t),d=Ae(n),p=Yo(t,i),m=Yo(n,i);if(p.length+m.length===0)for(let t=0;ts[e]=0));const i=Be(s,c,f),g=n.slice(-h);m.forEach((e=>g[e]=0));const y=Be(g,h,d);u[t]=e(r[i],a[y])}return[u,i]}}const oC=iC(((e,t)=>e<0?t*e:e));function lC(e){const{inputs:t,backend:n}=e,{x:r,alpha:a}=t;qE([r,a],"prelu");const s=n.data.get(r.dataId).values,i=n.data.get(a.dataId).values,[o,l]=oC(r.shape,a.shape,s,i,r.dtype);return n.makeTensorInfo(l,r.dtype,o)}const uC={kernelName:Kn,backendName:"cpu",kernelFunc:lC},cC=ZE(Qn,(e=>Math.max(0,e))),hC={kernelName:Qn,backendName:"cpu",kernelFunc:cC},fC=ZE(sr,(e=>Math.min(Math.max(0,e),6))),dC={kernelName:sr,backendName:"cpu",kernelFunc:fC},pC=ZE(gr,(e=>1/(1+Math.exp(-e)))),mC={kernelName:gr,backendName:"cpu",kernelFunc:pC};function gC(e,t,n,r,a){if("linear"===n)return nC({inputs:{x:t},backend:e});if("relu"===n)return cC({inputs:{x:t},backend:e});if("elu"===n)return eC({inputs:{x:t},backend:e});if("relu6"===n)return fC({inputs:{x:t},backend:e});if("prelu"===n)return lC({inputs:{x:t,alpha:r},backend:e});if("leakyrelu"===n)return aC({inputs:{x:t},backend:e,attrs:{alpha:a}});if("sigmoid"===n)return pC({inputs:{x:t},backend:e});throw new Error(`Activation ${n} has not been implemented for the CPU backend.`)}function yC(e){const{inputs:t,backend:n}=e,{real:r,imag:a}=t,s=n.data.get(r.dataId).values,i=n.data.get(a.dataId).values,o=n.makeTensorInfo(r.shape,"complex64");return n.data.get(o.dataId).complexTensorInfos={real:n.makeTensorInfo(r.shape,"float32",s),imag:n.makeTensorInfo(a.shape,"float32",i)},o}const bC={kernelName:yt,backendName:"cpu",kernelFunc:yC};function vC(e,t,n="float32"){if("complex64"===n)return yC({inputs:{real:vC(e,t,"float32"),imag:vC(e,t,"float32")},backend:e});const r=Re(re(t),n);return e.makeTensorInfo(t,n,r)}function wC(e){const{inputs:t,backend:n}=e,{input:r}=t,a=n.data.get(r.dataId).complexTensorInfos.real,s=n.data.get(a.dataId).values;return n.makeTensorInfo(a.shape,a.dtype,s)}const _C={kernelName:Jn,backendName:"cpu",kernelFunc:wC};function xC(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{dtype:s}=r;if("complex64"===s){if("complex64"===a.dtype)return nC({inputs:{x:a},backend:n});const e=vC(n,a.shape,a.dtype),t=xC({inputs:{x:a},backend:n,attrs:{dtype:"float32"}}),r=yC({inputs:{real:t,imag:e},backend:n});return n.disposeIntermediateTensorInfo(e),n.disposeIntermediateTensorInfo(t),r}if("complex64"===a.dtype){const e=wC({inputs:{input:a},backend:n}),t=xC({inputs:{x:e},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(e),t}if(!ve(a.dtype,s)){const e=nC({inputs:{x:a},backend:n});return{dataId:e.dataId,shape:e.shape,dtype:s}}if("int32"===s){const e=n.data.get(a.dataId).values,t=Int32Array.from(e);return n.makeTensorInfo(a.shape,"int32",t)}if("bool"===s){const e=n.data.get(a.dataId).values,t=aa([0],a.dtype),[r,s]=iC(((e,t)=>e!==t?1:0))(a.shape,[],e,t,"bool");return n.makeTensorInfo(s,"bool",r)}throw new Error(`Error in Cast: failed to cast ${a.dtype} to ${s}`)}const kC={kernelName:pt,backendName:"cpu",kernelFunc:xC};function EC(e,t,n,r){return null==n?({inputs:n,backend:a})=>{const{a:s,b:i}=n,o=a;qE([s,i],e);const l=o.data.get(s.dataId).values,u=o.data.get(i.dataId).values,c=r||s.dtype,[h,f]=t(s.shape,i.shape,l,u,c);return o.makeTensorInfo(f,c,h)}:({inputs:e,backend:a})=>{const{a:s,b:i}=e,o=a;if("complex64"===s.dtype||"complex64"===i.dtype){const e=xC({inputs:{x:s},backend:o,attrs:{dtype:"complex64"}}),t=o.data.get(e.dataId),r=t.complexTensorInfos.real,a=t.complexTensorInfos.imag,l=o.data.get(r.dataId).values,u=o.data.get(a.dataId).values,c=xC({inputs:{x:i},backend:o,attrs:{dtype:"complex64"}}),h=o.data.get(c.dataId),f=h.complexTensorInfos.real,d=h.complexTensorInfos.imag,p=o.data.get(f.dataId).values,m=o.data.get(d.dataId).values,[g,y,b]=n(s.shape,i.shape,l,u,p,m),v=o.makeTensorInfo(b,"float32",g),w=o.makeTensorInfo(b,"float32",y),_=yC({inputs:{real:v,imag:w},backend:o});return o.disposeIntermediateTensorInfo(e),o.disposeIntermediateTensorInfo(c),o.disposeIntermediateTensorInfo(v),o.disposeIntermediateTensorInfo(w),_}{const e=o.data.get(s.dataId).values,n=o.data.get(i.dataId).values,a=r||s.dtype,[l,u]=t(s.shape,i.shape,e,n,a);return o.makeTensorInfo(u,a,l)}}}function CC(e){return(t,n,r,a,s,i)=>{const o=Zo(t,n),l=re(o),u=o.length,c=Ae(o),h=me("float32",l),f=me("float32",l),d=Yo(t,o),p=Yo(n,o),m=pd(r,a),g=pd(s,i),y=t.length,b=Ae(t),v=n.length,w=Ae(n);if(d.length+p.length===0)for(let t=0;tr[e]=0));const a=Be(r,y,b),s=n.slice(-v);p.forEach((e=>s[e]=0));const i=Be(s,v,w),o=e(m[2*a],m[2*a+1],g[2*i],g[2*i+1]);h[t]=o.real,f[t]=o.imag}return[h,f,o]}}const SC=iC(((e,t)=>e+t)),NC=CC(((e,t,n,r)=>({real:e+n,imag:t+r}))),IC=EC(qe,SC,NC),AC={kernelName:qe,backendName:"cpu",kernelFunc:IC};function DC(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{shape:s}=r,i=re(a.shape),o=fe(s,i),l=re(o);Q(i===l,(()=>`The new shape (${o}) has ${l} elements and the old shape (${a.shape}) has ${i} elements. 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e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(r),e.deleteFramebuffer(a),s}(t,n)}return!1}return!!oT(t,"OES_texture_float")&&!!oT(t,"WEBGL_color_buffer_float")&&uT(t)}(hT.getNumber("WEBGL_VERSION")))),hT.registerFlag("WEBGL_FENCE_API_ENABLED",(()=>{return 2===(e=hT.getNumber("WEBGL_VERSION"))&&null!=MD(e).fenceSync;var e})),hT.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",(()=>hT.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0)),hT.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",(()=>-1),(e=>{if(e<0&&-1!==e)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${e}.`)})),hT.registerFlag("WEBGL_FLUSH_THRESHOLD",(()=>Va()&&hT.getBool("IS_CHROME")?1:-1),(e=>{if(e<0&&-1!==e)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${e}.`)}));const mT="\n const float FLOAT_MAX = 1.70141184e38;\n const float FLOAT_MIN = 1.17549435e-38;\n\n lowp vec4 encode_float(highp float v) {\n if (isnan(v)) {\n return vec4(255, 255, 255, 255);\n }\n\n highp float av = abs(v);\n\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n highp float e = floor(log2(av));\n highp float m = exp2(fract(log2(av))) - 1.0;\n\n c[2] = floor(128.0 * m);\n m -= c[2] / 128.0;\n c[1] = floor(32768.0 * m);\n m -= c[1] / 32768.0;\n c[0] = floor(8388608.0 * m);\n\n highp float ebias = e + 127.0;\n c[3] = floor(ebias / 2.0);\n ebias -= c[3] * 2.0;\n c[2] += floor(ebias) * 128.0;\n\n c[3] += 128.0 * step(0.0, -v);\n\n return c / 255.0;\n }\n";class gT{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=BD.DENSE;const t=zD(e),n=fT();this.outputShape=e,this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${dT(["r","c","d"],e)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getA(rc.x, rc.y, rc.z);\n }\n\n ${n.output} = result;\n }\n `}}class yT{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=BD.DENSE;const t=zD(e),n=fT();this.outputShape=e,this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${dT(["r","c","d"],e)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n }\n\n ${n.output} = result;\n }\n `}}class bT{constructor(e){this.variableNames=["A"],this.outTexUsage=$D.DOWNLOAD;const t=fT();this.outputShape=e,this.userCode=`\n ${mT}\n\n void main() {\n float x = getAAtOutCoords();\n ${t.output} = encode_float(x);\n }\n `}}class vT{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=$D.DOWNLOAD;const t=fT();this.outputShape=e,this.userCode=`\n ${mT}\n\n void main() {\n ivec3 coords = getOutputCoords();\n float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n ${t.output} = encode_float(x);\n }\n `}}class wT{constructor(e,t,n=!1){this.variableNames=["A"];const r=fT(),[a,s]=t;this.outputShape=e;let i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode=`\n ${pT(e)}\n\n void main() {\n ivec3 coords = getOutputCoords();\n\n int flatIndex = getFlatIndex(coords);\n int offset = imod(flatIndex, 4);\n\n flatIndex = idiv(flatIndex, 4, 1.);\n\n int r = flatIndex / 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vec2(${s}.0, ${a}.0);\n values = ${r.texture2D}(A, uv);\n\n if(offset == 0) {\n result[${o}] = values[0];\n } else if(offset == 1) {\n result[${o}] = values[1];\n } else if(offset == 2) {\n result[${o}] = values[2];\n } else {\n result[${o}] = values[3];\n }\n }\n }\n `}this.userCode=`\n ${pT(e)}\n\n void main() {\n ivec3 coords = getOutputCoords();\n\n vec4 result = vec4(0.);\n int flatIndex, r, c, offset;\n ivec3 localCoords;\n vec2 uv;\n vec4 values;\n\n ${i}\n\n ${r.output} = ${o};\n }\n `}}function xT(e,t,n,r,a,s){!function(e,t){const n=We().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0)throw new Error(`Requested texture size [${e}x${t}] is invalid.`);if(e>n||t>n)throw new Error(`Requested texture size [${e}x${t}] greater than WebGL maximum on this browser / GPU [${n}x${n}].`)}(t,n);const i=function(e){return QD(e,(()=>e.createTexture()),"Unable to create WebGLTexture.")}(e),o=e.TEXTURE_2D;return VD(e,(()=>e.bindTexture(o,i))),VD(e,(()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE))),VD(e,(()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE))),VD(e,(()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST))),VD(e,(()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST))),VD(e,(()=>e.texImage2D(o,0,r,t,n,0,a,s,null))),VD(e,(()=>e.bindTexture(e.TEXTURE_2D,null))),i}function kT(e){return e.internalFormatFloat}function ET(e){return e.internalFormatHalfFloat}function CT(e){return e.downloadTextureFormat}function ST(e){return e.internalFormatPackedFloat}function NT(e){return e.internalFormatPackedHalfFloat}class IT{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];const t=We().getNumber("WEBGL_VERSION");null!=e?(this.gl=e,function(e,t){RD[e]=t}(t,e)):this.gl=MD(t);let n="WEBGL_color_buffer_float";const r="EXT_color_buffer_half_float";if(1===We().getNumber("WEBGL_VERSION")){const e="OES_texture_float",t="OES_texture_half_float";if(this.textureFloatExtension=HD(this.gl,e),oT(this.gl,t))this.textureHalfFloatExtension=HD(this.gl,t);else if(We().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),oT(this.gl,r))this.colorBufferHalfFloatExtension=HD(this.gl,r);else if(We().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",oT(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!oT(this.gl,r))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(r)}this.vertexBuffer=function(e){return function(e,t){const n=QD(e,(()=>e.createBuffer()),"Unable to 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This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");const e=this.gl;VD(e,(()=>e.finish())),VD(e,(()=>e.bindFramebuffer(e.FRAMEBUFFER,null))),VD(e,(()=>e.deleteFramebuffer(this.framebuffer))),VD(e,(()=>e.bindBuffer(e.ARRAY_BUFFER,null))),VD(e,(()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null))),VD(e,(()=>e.deleteBuffer(this.indexBuffer))),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),function(e,t,n,r){const[a,s]=LD(t,n);return xT(e,a,s,kT(r),r.textureFormatFloat,e.FLOAT)}(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),function(e,t,n,r){const[a,s]=LD(t,n);return xT(e,a,s,ET(r),r.textureFormatFloat,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),function(e,t,n,r){const[a,s]=LD(t,n);return xT(e,a,s,CT(r),e.RGBA,e.UNSIGNED_BYTE)}(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),function(e,t,n){VD(e,(()=>e.bindTexture(e.TEXTURE_2D,t))),n.data instanceof Uint8Array?VD(e,(()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data))):VD(e,(()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n))),VD(e,(()=>e.bindTexture(e.TEXTURE_2D,null)))}(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,n,r){this.throwIfDisposed(),function(e,t,n,r,a,s){let i,o,l;VD(e,(()=>e.bindTexture(e.TEXTURE_2D,t))),a instanceof Uint8Array?(i=new Uint8Array(n*r*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*r*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(a),VD(e,(()=>e.texImage2D(e.TEXTURE_2D,0,l,n,r,0,e.RGBA,o,i))),VD(e,(()=>e.bindTexture(e.TEXTURE_2D,null)))}(this.gl,e,t,n,r,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),function(e,t,n,r){const[a,s]=WD(t,n);return xT(e,a,s,NT(r),e.RGBA,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),function(e,t,n,r){const[a,s]=WD(t,n);return xT(e,a,s,ST(r),e.RGBA,e.FLOAT)}(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(JD(this.gl,this.framebuffer),this.outputTexture=null),VD(this.gl,(()=>this.gl.deleteTexture(e)))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,n){return this.downloadMatrixDriver(e,(()=>function(e,t,n,r){const[a,s]=LD(t,n),i=new Uint8Array(t*n*4);return VD(e,(()=>e.readPixels(0,0,a,s,r.downloadTextureFormat,e.UNSIGNED_BYTE,i))),new Float32Array(i.buffer)}(this.gl,t,n,this.textureConfig)))}downloadPackedMatrixFromBuffer(e,t,n,r,a,s){return function(e,t,n,r,a,s,i,o){const l=e,u=new Float32Array(function(e,t){const[n,r]=WD(e,t);return n*r*4}(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}(this.gl,e,0,0,0,a,s,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return function(e,t,n){const r=e,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}(this.gl,e,t)}createBufferFromTexture(e,t,n){this.bindTextureToFrameBuffer(e);const r=function(e,t,n,r){const a=e.createBuffer();VD(e,(()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,a)));const s=16*t*n;return VD(e,(()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ))),VD(e,(()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0))),VD(e,(()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null))),a}(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r}createAndWaitForFence(){const e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,n;if(We().getBool("WEBGL_FENCE_API_ENABLED")){const r=e,a=r.fenceSync(r.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=()=>{const e=r.clientWaitSync(a,0,0);return e===r.ALREADY_SIGNALED||e===r.CONDITION_SATISFIED},t=a}else We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(t,We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):n=()=>!0;return{query:t,isFencePassed:n}}downloadMatrixFromPackedTexture(e,t,n){return this.downloadMatrixDriver(e,(()=>function(e,t,n){const r=new Float32Array(t*n*4);return VD(e,(()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r))),r}(this.gl,t,n)))}createProgram(e){this.throwIfDisposed();const t=this.gl,n=function(e,t){const n=QD(e,(()=>e.createShader(e.FRAGMENT_SHADER)),"Unable to create fragment WebGLShader.");if(VD(e,(()=>e.shaderSource(n,t))),VD(e,(()=>e.compileShader(n))),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw function(e,t){const n=GD.exec(t);if(null==n)return console.log(`Couldn't parse line number in error: ${t}`),void console.log(e);const r=+n[1],a=e.split("\n"),s=a.length.toString().length+2,i=a.map(((e,t)=>ce((t+1).toString(),s)+e));let o=0;for(let e=0;ee.createShader(e.VERTEX_SHADER)),"Unable to create vertex WebGLShader.");if(VD(e,(()=>e.shaderSource(n,t))),VD(e,(()=>e.compileShader(n))),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}(e,`${t.version}\n precision highp float;\n ${t.attribute} vec3 clipSpacePos;\n ${t.attribute} vec2 uv;\n ${t.varyingVs} vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }`)}(t));const r=function(e){return QD(e,(()=>e.createProgram()),"Unable to create WebGLProgram.")}(t);return VD(t,(()=>t.attachShader(r,this.vertexShader))),VD(t,(()=>t.attachShader(r,n))),function(e,t){if(VD(e,(()=>e.linkProgram(t))),!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}(t,r),this.debug&&XD(t,r),this.vertexAttrsAreBound||(this.setProgram(r),this.vertexAttrsAreBound=function(e,t,n){return VD(e,(()=>e.bindBuffer(e.ARRAY_BUFFER,n))),KD(e,t,"clipSpacePos",n,3,20,0)&&KD(e,t,"uv",n,2,20,12)}(t,this.program,this.vertexBuffer)),r}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&VD(this.gl,(()=>this.gl.deleteProgram(e)))}setProgram(e){this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&XD(this.gl,this.program),VD(this.gl,(()=>this.gl.useProgram(e)))}getUniformLocation(e,t,n=!0){return this.throwIfDisposed(),n?function(e,t,n){return QD(e,(()=>e.getUniformLocation(t,n)),'uniform "'+n+'" not present in program.')}(this.gl,e,t):function(e,t,n){return e.getUniformLocation(t,n)}(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),VD(this.gl,(()=>this.gl.getAttribLocation(e,t)))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),qD(this.gl,e,t,n)}setOutputMatrixTexture(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}setOutputPackedMatrixTexture(e,t,n){this.throwIfDisposed();const[r,a]=WD(t,n);this.setOutputMatrixTextureDriver(e,r,a)}setOutputMatrixWriteRegion(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)}setOutputPackedMatrixWriteRegion(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){null!=this.program&&XD(this.gl,this.program),ZD(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();const e=this.gl;this.debug&&this.debugValidate(),VD(e,(()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),VD(this.gl,(()=>this.gl.finish()))}getQueryTimerExtension(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=HD(this.gl,2===We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(2===We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){const e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}const e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(2===We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){const e=this.gl,t=this.getQueryTimerExtensionWebGL2();return void e.endQuery(t.TIME_ELAPSED_EXT)}const e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await he((()=>this.disposed||this.isQueryAvailable(e,We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")))),this.getQueryTime(e,We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(e,t){if(0===t)return null;if(2===t){const t=this.gl;return t.getQueryParameter(e,t.QUERY_RESULT)/1e6}{const t=this.getQueryTimerExtensionWebGL1();return t.getQueryObjectEXT(e,t.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(0===t)return!0;if(2===t){const t=this.gl,n=this.getQueryTimerExtensionWebGL2(),r=t.getQueryParameter(e,t.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),r&&!this.disjoint}{const t=this.getQueryTimerExtensionWebGL1(),n=t.getQueryObjectEXT(e,t.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(t.GPU_DISJOINT_EXT)),n&&!this.disjoint}}pollFence(e){return new Promise((t=>{this.addItemToPoll((()=>e.isFencePassed()),(()=>t()))}))}pollItems(){const e=function(e){let t=0;for(;te.isDoneFn)));for(let t=0;t<=e;++t){const{resolveFn:e}=this.itemsToPoll[t];e()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||he((()=>(this.pollItems(),0===this.itemsToPoll.length)))}bindTextureToFrameBuffer(e){this.throwIfDisposed(),YD(this.gl,e,this.framebuffer),this.debug&&ZD(this.gl)}unbindTextureToFrameBuffer(){null!=this.outputTexture?(YD(this.gl,this.outputTexture,this.framebuffer),this.debug&&ZD(this.gl)):JD(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);const n=t();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(e,t,n){this.throwIfDisposed();const r=this.gl;YD(r,e,this.framebuffer),this.debug&&ZD(r),this.outputTexture=e,VD(r,(()=>r.viewport(0,0,t,n))),VD(r,(()=>r.scissor(0,0,t,n)))}setOutputMatrixWriteRegionDriver(e,t,n,r){this.throwIfDisposed(),VD(this.gl,(()=>this.gl.scissor(e,t,n,r)))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(null==this.program)throw new Error("No GPU program is currently set.")}}const{getBroadcastDims:AT}=g;function DT(e,t,n,r){const a=[];e.forEach((e=>{const t=re(e.shapeInfo.logicalShape);e.shapeInfo.isUniform?a.push(`uniform float ${e.name}${t>1?`[${t}]`:""};`):(a.push(`uniform sampler2D ${e.name};`),a.push(`uniform int offset${e.name};`))}));const s=a.join("\n"),i=e.map((e=>function(e,t,n=!1){let r="";r+=n?FT(e):TT(e);const a=e.shapeInfo.logicalShape,s=t.logicalShape;return a.length<=s.length&&(r+=n?function(e,t){const n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=AT(e.shapeInfo.logicalShape,t.logicalShape),l=LT(i),u=i-s;let c;const h=["x","y","z","w","u","v"];c=0===s?"":i<2&&o.length>=1?"coords = 0;":o.map((e=>`coords.${h[e+u]} = 0;`)).join("\n");let f="";f=i<2&&s>0?"coords":e.shapeInfo.logicalShape.map(((e,t)=>`coords.${h[t+u]}`)).join(", ");let d="return outputValue;";const p=1===re(e.shapeInfo.logicalShape),m=1===re(t.logicalShape);if(1!==s||p||m){if(p&&!m)d=1===i?"\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n ":"\n return vec4(outputValue.x);\n ";else if(o.length){const e=s-2,t=s-1;o.indexOf(e)>-1&&o.indexOf(t)>-1?d="return vec4(outputValue.x);":o.indexOf(e)>-1?d="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(t)>-1&&(d="return vec4(outputValue.xx, outputValue.zz);")}}else d="\n return vec4(outputValue.xy, outputValue.xy);\n ";return`\n vec4 ${a}() {\n ${l} coords = getOutputCoords();\n ${c}\n vec4 outputValue = get${r}(${f});\n ${d}\n }\n `}(e,t):function(e,t){const n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&null==e.shapeInfo.flatOffset&&se(i,s))return`\n float ${a}() {\n return sampleTexture(${n}, resultUV);\n }\n `;const u=LT(l),c=AT(e.shapeInfo.logicalShape,t.logicalShape),h=l-o;let f;const d=["x","y","z","w","u","v"];f=0===o?"":l<2&&c.length>=1?"coords = 0;":c.map((e=>`coords.${d[e+h]} = 0;`)).join("\n");let p="";return p=l<2&&o>0?"coords":e.shapeInfo.logicalShape.map(((e,t)=>`coords.${d[t+h]}`)).join(", "),`\n float ${a}() {\n ${u} coords = getOutputCoords();\n ${f}\n return get${r}(${p});\n }\n `}(e,t)),r}(e,t,r))).join("\n"),o=t.texShape,l=fT(),u=function(e){return`\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ${e.texture2D}(textureSampler, uv).r;\n }\n `}(l);let c,h,f=function(e){return`${e.version}\n precision highp float;\n precision highp int;\n precision highp sampler2D;\n ${e.varyingFs} vec2 resultUV;\n ${e.defineOutput}\n const vec2 halfCR = vec2(0.5, 0.5);\n\n struct ivec5\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n };\n\n struct ivec6\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n int v;\n };\n\n uniform float NAN;\n ${e.defineSpecialNaN}\n ${e.defineSpecialInf}\n ${e.defineRound}\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n int idiv(int a, int b, float sign) {\n int res = a / b;\n int mod = imod(a, b);\n if (sign < 0. && mod != 0) {\n res -= 1;\n }\n return res;\n }\n\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n #define HASHSCALE1 443.8975\n float random(float seed){\n vec2 p = resultUV * seed;\n vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 += dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ${RT}\n ${OT}\n ${MT}\n `}(l);return t.isPacked?(c=function(e,t){switch(e.length){case 0:return"\n int getOutputCoords() {\n return 0;\n }\n ";case 1:return function(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return 1===n[0]?`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ${n[1]}.0);\n }\n `:1===n[1]?`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ${n[0]}.0);\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n return 2 * (resTexRC.x * ${n[1]} + resTexRC.y);\n }\n `}(0,t);case 2:return function(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(se(e,t))return`\n ivec2 getOutputCoords() {\n return 2 * ivec2(resultUV.yx * vec2(${n[0]}, ${n[1]}));\n }\n `;const r=Math.ceil(e[1]/2);return`\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n\n int index = resTexRC.x * ${n[1]} + resTexRC.y;\n int r = 2 * (index / ${r});\n int c = imod(index, ${r}) * 2;\n\n return ivec2(r, c);\n }\n `}(e,t);case 3:return function(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),a=r*Math.ceil(e[1]/2);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n int index = resTexRC.x * ${n[1]} + resTexRC.y;\n\n int b = index / ${a};\n index -= b * ${a};\n\n int r = 2 * (index / ${r});\n int c = imod(index, ${r}) * 2;\n\n return ivec3(b, r, c);\n }\n `}(e,t);default:return function(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),a=r*Math.ceil(e[e.length-2]/2);let s=a,i="",o="b, r, c";for(let t=2;te[t])).join(", ")}function UT(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach(((e,n)=>{const r=e.logicalShape,a=t[n],s=a.shape;if(!se(r,s))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${s} must match`);if(e.isUniform&&a.isUniform)return;const i=e.texShape,o=a.isUniform?null:a.texData.texShape;if(!se(i,o))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${i} and ${o} must match`)}))}const{addImpl:VT,bincountImpl:jT,bincountReduceImpl:HT,ceilImpl:GT,concatImpl:XT,expImpl:KT,expm1Impl:qT,floorImpl:YT,gatherV2Impl:JT,greaterImpl:ZT,lessImpl:QT,linSpaceImpl:eF,logImpl:tF,maxImpl:nF,maximumImpl:rF,minimumImpl:aF,multiplyImpl:sF,negImpl:iF,prodImpl:oF,rangeImpl:lF,rsqrtImpl:uF,simpleAbsImpl:cF,sliceImpl:hF,sparseFillEmptyRowsImpl:fF,sparseReshapeImpl:dF,stridedSliceImpl:pF,subImpl:mF,tileImpl:gF,topKImpl:yF,transposeImpl:bF,uniqueImpl:vF}=U;function wF(e,t){return["x","y","z","w","u","v"].slice(0,t).map((t=>`${e}.${t}`))}function _F(e,t){return 1===t?[e]:wF(e,t)}class xF{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;const t=e.length;if(0===t)this.userCode="\n void main() {\n setOutput(vec4(getA(), 0., 0., 0.));\n }\n ";else{const n=_F("rc",t),r=LT(t),a=function(e,t,n){if(1===e)return`rc > ${t[0]}`;let r="";for(let a=e-2;a= ${t[a]}`,a= ${t};\n bool rEdge = rp1 >= ${n};\n `}(t,e[e.length-1],e[e.length-2],n),i=function(e,t){const n=e.length,r=function(e,t){const n=[];for(let r=0;r<=1;r++)for(let a=0;a<=1;a++){let s=`${0===r?"r":"rp1"}, ${0===a?"c":"cp1"}`;for(let n=2;n= ${e[0]} ? 0. : getA(rc + 1),\n 0, 0`:`getA(${r[0]}),\n cEdge ? 0. : getA(${r[1]}),\n rEdge ? 0. : getA(${r[2]}),\n rEdge || cEdge ? 0. : getA(${r[3]})`}(e,n);this.userCode=`\n void main() {\n ${r} rc = getOutputCoords();\n\n if(${a}) {\n setOutput(vec4(0));\n } else {\n ${s}\n\n setOutput(vec4(${i}));\n }\n }\n `}}}class kF{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let e=0;e<4;e++){let t="thisRC = rc;";e%2==1&&(t+="thisRC.z += 1;"),e>1&&(t+="thisRC.y += 1;"),n+=`\n ${t}\n ${e>0?"if(thisRC.y < rows && thisRC.z < cols){":""}\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[${e}] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ${e>0?"}":""}\n `}var r;this.userCode=`\n ${r=t,`\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ${dT(["r","c","d"],r)}\n return ivec3(r, c, d);\n }\n `}\n ${pT(e)}\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ${e[1]};\n int cols = ${e[2]};\n\n ${n}\n\n setOutput(result);\n }\n `}}class EF{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){const r=SF(t,n),a=NF(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);const s=CF(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();const e=this.freeTextures[a].shift();return this.usedTextures[a].push(e),e}let i;return r===PD.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===PD.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===PD.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===PD.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===PD.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,r){if(null==this.freeTextures)return;const a=SF(n,r),s=NF(t,a,r);s in this.freeTextures||(this.freeTextures[s]=[]);const i=CF(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),o=We().get("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==o&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;const l=this.usedTextures[s],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;const e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);const t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(null!=this.freeTextures){for(const e in this.freeTextures)this.freeTextures[e].forEach((e=>{this.gpgpu.deleteMatrixTexture(e)}));for(const e in this.usedTextures)this.usedTextures[e].forEach((e=>{this.gpgpu.deleteMatrixTexture(e)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}function CF(e,t,n,r,a){const s=function(e,t){switch(e){case PD.PACKED_2X2_FLOAT32:return ST(t);case PD.PACKED_2X2_FLOAT16:return NT(t);case PD.UNPACKED_FLOAT32:return kT(t);case PD.UNPACKED_FLOAT16:return ET(t);case PD.PACKED_4X1_UNSIGNED_BYTE:return CT(t);default:throw new Error(`Unknown physical texture type ${e}`)}}(t,r);let i;if(a){const[t,n]=WD(e[0],e[1]);i=t*n}else{const[t,n]=LD(e[0],e[1]);i=t*n}return i*function(e,t){const n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;throw new Error(`Unknown internal format ${t}`)}(n,s)}function SF(e,t){if(e===$D.UPLOAD)return PD.PACKED_2X2_FLOAT32;if(e===$D.RENDER||null==e)return function(e){return We().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?PD.PACKED_2X2_FLOAT32:PD.UNPACKED_FLOAT32:e?PD.PACKED_2X2_FLOAT16:PD.UNPACKED_FLOAT16}(t);if(e===$D.DOWNLOAD||e===$D.PIXELS)return PD.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function NF(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}class IF{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode=`\n float unaryOperation(float x) {\n ${t}\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n `}}const AF="return abs(x);",DF="return x;";class TF{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode=`\n vec4 unaryOperation(vec4 x) {\n ${t}\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n `}}class FF{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;const t=e.length,n=_F("rc",t),r=LT(t),a=function(e,t){if(1===e)return"rc";let n="";for(let r=0;rt.push(e)))}const t=this.texData.get(e),{values:n,shape:r,slice:a,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(null!=a){let t;t=o?new TF(r,DF):new IF(r,DF);const n=this.runWebGLProgram(t,[{dataId:e,shape:r,dtype:s}],s),a=this.read(n.dataId);return this.disposeIntermediateTensorInfo(n),a}if(null!=n)return this.convertAndCacheOnCPU(e);if(!We().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===We().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l,u,c=null;if("complex64"!==s&&We().get("WEBGL_BUFFER_SUPPORTED")){l=this.decode(e);const t=this.texData.get(l.dataId);c=this.gpgpu.createBufferFromTexture(t.texture,...zD(r))}if(this.pendingRead.set(e,[]),"complex64"!==s&&await this.gpgpu.createAndWaitForFence(),"complex64"===s){const e=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]);u=pd(e[0],e[1])}else if(null==c)u=this.getValuesFromTexture(e);else{const e=re(r);u=this.gpgpu.downloadFloat32MatrixFromBuffer(c,e)}null!=l&&this.disposeIntermediateTensorInfo(l);const h=this.convertAndCacheOnCPU(e,u),f=this.pendingRead.get(e);return this.pendingRead.delete(e),f.forEach((e=>e(h))),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&co().removeDataId(e,this),this.pendingDeletes--),h}bufferSync(e){const t=this.readSync(e.dataId);let n=t;if("string"===e.dtype)try{n=t.map((e=>la(e)))}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return Xs(e.shape,e.dtype,n)}checkNumericalProblems(e){if(null!=e)for(let t=0;t0}async time(e){const t=this.activeTimers,n=[];let r=!1;null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e();const a=ne(this.activeTimers.map((e=>e.query))).filter((e=>null!=e)),s=ne(this.activeTimers.map((e=>e.name))).filter((e=>null!=e));this.activeTimers=t,r&&(this.programTimersStack=null);const i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};if(We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){const e=await Promise.all(a);i.kernelMs=Y(e),i.getExtraProfileInfo=()=>e.map(((e,t)=>({name:s[t],ms:e}))).map((e=>`${e.name}: ${e.ms}`)).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:sa(),endMs:null}}endTimer(e){return We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=sa(),e)}async getQueryTime(e){if(We().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);const t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);const{complexTensorInfos:n}=this.texData.get(e);return null!=n&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){const{texture:t,dtype:n,texShape:r,usage:a,isPacked:s,slice:i}=this.texData.get(e),o=i&&i.origDataId||e,l=this.dataRefCount.get(o);l>1?this.dataRefCount.set(o,l-1):(this.dataRefCount.delete(o),null!=t&&(this.numBytesInGPU-=this.computeBytes(r,n),this.textureManager.releaseTexture(t,r,a,s)));const u=this.texData.get(e);u.texture=null,u.texShape=null,u.isPacked=!1,u.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=128){return We().getBool("WEBGL_CPU_FORWARD")&&e.every((e=>null==this.texData.get(e.dataId).texture&&re(e.shape)0&&ke(n[0])){const a=n.map((e=>oa(e)));r=this.write(a,e,t)}else r=this.write(n,e,t);return this.texData.get(r).usage=null,{dataId:r,shape:e,dtype:t}}makeOutput(e,t,n){const{dataId:r}=this.makeTensorInfo(e,t,n);return co().makeTensorFromDataId(r,e,t,this)}unpackTensor(e){const t=new FF(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){const t=new xF(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}packedReshape(e,t){const n=[eT(e.shape),...tT(e.shape)],r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[eT(t),...tT(t)],s=new kF(a,n),i=this.runWebGLProgram(s,[r],e.dtype,null,!0);return{dataId:i.dataId,shape:t,dtype:i.dtype}}decode(e){const t=this.texData.get(e),{isPacked:n,shape:r,dtype:a}=t,s=nT(r);let i;return i=n?new yT(s):new gT(s),{dtype:a,shape:r,dataId:this.runWebGLProgram(i,[{shape:s,dtype:a,dataId:e}],a,null,!0).dataId}}runWebGLProgram(e,t,n,r,a=!1){const s=this.makeTensorInfo(e.outputShape,n),i=this.texData.get(s.dataId);if(e.packedOutput&&(i.isPacked=!0),e.outPackingScheme===BD.DENSE){const t=zD(e.outputShape);i.texShape=t.map((e=>2*e))}if(null!=e.outTexUsage&&(i.usage=e.outTexUsage),0===re(s.shape))return i.values=me(s.dtype,0),s;const o=[],l=t.map((t=>{if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let n=this.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&re(t.shape)<=We().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:n.values};e.packedInputs&&(n.isPacked=!0,n.shape=t.shape)}else if(!!n.isPacked!=!!e.packedInputs)t=n.isPacked?this.unpackTensor(t):this.packTensor(t),o.push(t),n=this.texData.get(t.dataId);else if(n.isPacked&&!aT(n.shape,t.shape)){const e=t,r=t.shape;t.shape=n.shape,t=this.packedReshape(t,r),o.push(t),n=this.texData.get(t.dataId),e.shape=r}return this.uploadToGPU(t.dataId),{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);const u={shape:s.shape,texData:i,isUniform:!1},c=function(e,t,n){let r="";t.concat(n).forEach((e=>{const t=null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0,n=e.isUniform?"uniform":e.texData.texShape;r+=`${e.shape}_${n}_${t}`}));const a=e.userCode;let s=e.constructor.name;return s+="_"+r+"_"+a,s}(e,l,u),h=this.getAndSaveBinary(c,(()=>function(e,t,n,r){const a=t.userCode,s=n.map(((e,n)=>{const r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked,flatOffset:null};return null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0&&(r.flatOffset=e.texData.slice.flatOffset),{name:t.variableNames[n],shapeInfo:r}})),i=s.map((e=>e.shapeInfo)),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},l=DT(s,o,a,t.packedInputs),u=e.createProgram(l);let c=null;const h=e.getUniformLocation(u,"NAN",!1);1===We().getNumber("WEBGL_VERSION")&&(c=e.getUniformLocation(u,"INFINITY",!1));const f={};for(let n=0;n{const a=t.program.variableNames[r],s=t.uniformLocations[a],i=t.uniformLocations[`offset${a}`];if(null!=s)if(n.isUniform)if(re(n.shape)<2)e.gl.uniform1f(s,n.uniformValues[0]);else{let t=n.uniformValues;t instanceof Float32Array||(t=new Float32Array(t)),e.gl.uniform1fv(s,t)}else null!=n.texData.slice&&null!=i&&e.gl.uniform1i(i,n.texData.slice.flatOffset),e.setInputMatrixTexture(n.texData.texture,s,r)})),null!=a&&a(e,t.webGLProgram),e.executeProgram()}(this.gpgpu,h,l,u,r),o.forEach((e=>this.disposeIntermediateTensorInfo(e))),f&&(d=this.endTimer(d),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(d)}));const p=We().get("WEBGL_FLUSH_THRESHOLD");if(p>0){const e=sa();e-this.lastGlFlushTime>p&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=e)}if(!We().getBool("WEBGL_LAZILY_UNPACK")&&i.isPacked&&!1===a){const e=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),e}return s}compileAndRun(e,t,n,r,a=!1){return n=n||t[0].dtype,this.runWebGLProgram(e,t,n,r,a)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(We().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach((e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]})),this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return null==this.floatPrecisionValue&&(this.floatPrecisionValue=po((()=>{if(!We().get("WEBGL_RENDER_FLOAT32_ENABLED")){const e=We().getBool("DEBUG");We().set("DEBUG",!1);const t=this.abs(Wo(1e-8)).dataSync()[0];if(We().set("DEBUG",e),t>0)return 32}return 16}))),this.floatPrecisionValue}epsilon(){return 32===this.floatPrecision()?1e-7:1e-4}uploadToGPU(e){const t=this.texData.get(e),{shape:n,dtype:r,values:a,texture:s,usage:i,isPacked:o}=t;if(null!=s)return;const l=null!=this.activeTimers;let u;l&&(u=sa());let c=t.texShape;if(null==c&&(c=function(e,t=!1){let n=We().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t&&(n*=2,1===(e=e.map(((t,n)=>n>=e.length-2?q(e[n]):e[n]))).length&&(e=[2,e[0]])),2!==e.length){const t=pe(e);e=t.newShape}let r=re(e);if(e.length<=1&&r<=n)return[1,r];if(2===e.length&&e[0]<=n&&e[1]<=n)return e;if(3===e.length&&e[0]*e[1]<=n&&e[2]<=n)return[e[0]*e[1],e[2]];if(3===e.length&&e[0]<=n&&e[1]*e[2]<=n)return[e[0],e[1]*e[2]];if(4===e.length&&e[0]*e[1]*e[2]<=n&&e[3]<=n)return[e[0]*e[1]*e[2],e[3]];if(4===e.length&&e[0]<=n&&e[1]*e[2]*e[3]<=n)return[e[0],e[1]*e[2]*e[3]];if(t){const t=eT(e);let n=2,a=2;return e.length&&([n,a]=tT(e)),r=t*(n/2)*(a/2),le(r).map((e=>2*e))}return le(r)}(n,o),t.texShape=c),null!=a){const e=nT(n);let s,i=c[1],h=c[0];const f=a instanceof Uint8Array;o?([i,h]=WD(c[0],c[1]),s=new _T(e,[h,i],f)):s=new wT(e,[h,i],f);const d=this.makeTensorInfo([h,i],r);this.texData.get(d.dataId).usage=f?$D.PIXELS:$D.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(d.dataId),i,h,a);const p=!0,m=this.runWebGLProgram(s,[d],r,null,p),g=this.texData.get(m.dataId);t.texture=g.texture,t.texShape=g.texShape,t.isPacked=g.isPacked,t.usage=g.usage,this.disposeIntermediateTensorInfo(d),this.texData.delete(m.dataId),t.values=null,l&&(this.uploadWaitMs+=sa()-u)}else{const e=this.acquireTexture(c,i,r,o);t.texture=e}}convertAndCacheOnCPU(e,t){const n=this.texData.get(e),{dtype:r}=n;return this.releaseGPUData(e),null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){const n="int32"===t?new Int32Array(e.length):new Uint8Array(e.length);for(let t=0;t1024*this.numMBBeforeWarning*1024){const e=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${e} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,r)}computeBytes(e,t){return e[0]*e[1]*_e(t)}}MF.nextDataId=0,ja()&&Eo("webgl",(()=>new MF),2);class BF{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=Zo(t,n),this.userCode=`\n float binaryOperation(float a, float b) {\n ${e}\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n `}}class $F{constructor(e,t,n,r=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Zo(t,n);const a=this.outputShape.length;let s="";if(r)if(0===a||1===re(this.outputShape))s="\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n ";else if(s=`\n ${LT(a)} coords = getOutputCoords();\n `,1===a)s+=`\n result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `;else{const e=_F("coords",a);s+=`\n bool nextRowOutOfBounds =\n (${e[a-2]} + 1) >= ${this.outputShape[a-2]};\n bool nextColOutOfBounds =\n (${e[a-1]} + 1) >= ${this.outputShape[a-1]};\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `}this.userCode=`\n vec4 binaryOperation(vec4 a, vec4 b) {\n ${e}\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n ${s}\n\n setOutput(result);\n }\n `}}function PF(e){const{inputs:t,backend:n}=e,{x:r}=t;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}const LF={kernelName:an,backendName:"webgl",kernelFunc:PF};function zF(e){const{inputs:t,backend:n}=e,{real:r,imag:a}=t,s=n.makeTensorInfo(r.shape,"complex64"),i=n.texData.get(s.dataId),o=PF({inputs:{x:r},backend:n}),l=PF({inputs:{x:a},backend:n});return i.complexTensorInfos={real:o,imag:l},s}const WF={kernelName:yt,backendName:"webgl",kernelFunc:zF},UF="return (a < 0.) ? b * a : a;",VF="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",jF={kernelName:hn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{alpha:s}=r,i=n.makeTensorInfo([],"float32",ra(s,"float32")),o=We().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new $F(VF,a.shape,i.shape):new BF(UF,a.shape,i.shape),l=n.runWebGLProgram(o,[a,i],a.dtype);return n.disposeIntermediateTensorInfo(i),l}},HF="return (a < 0.) ? b * a : a;",GF="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",XF={kernelName:Kn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{x:r,alpha:a}=t,s=We().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new $F(GF,r.shape,a.shape):new BF(HF,r.shape,a.shape);return n.runWebGLProgram(s,[r,a],r.dtype)}};function KF({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:r}){return({inputs:a,backend:s})=>{const{x:i}=a,o=s,l=r||i.dtype;if(o.shouldExecuteOnCPU([i])&&null!=n){const e=o.texData.get(i.dataId),t=n(e.values,l);return o.makeTensorInfo(i.shape,l,t)}let u;return u=We().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&null!=t?new TF(i.shape,t):new IF(i.shape,e),o.runWebGLProgram(u,[i],l)}}function qF({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:r=!1,cpuKernelImpl:a,dtype:s}){return({inputs:i,backend:o})=>{const{a:l,b:u}=i,c=o;if(r&&"complex64"===l.dtype){const t=c.texData.get(l.dataId),n=c.texData.get(u.dataId),[r,a]=[[t.complexTensorInfos.real,n.complexTensorInfos.real],[t.complexTensorInfos.imag,n.complexTensorInfos.imag]].map((t=>{const[n,r]=t,a={dataId:n.dataId,dtype:n.dtype,shape:l.shape},s={dataId:r.dataId,dtype:r.dtype,shape:u.shape},i=new BF(e,l.shape,u.shape);return c.runWebGLProgram(i,[a,s],Da(n.dtype,r.dtype))})),s=zF({inputs:{real:r,imag:a},backend:c});return c.disposeIntermediateTensorInfo(r),c.disposeIntermediateTensorInfo(a),s}const h=s||Da(l.dtype,u.dtype);if(c.shouldExecuteOnCPU([l,u])&&null!=a){const e=c.texData.get(l.dataId),t=c.texData.get(u.dataId),[n,r]=a(l.shape,u.shape,e.values,t.values,h),s=c.makeTensorInfo(r,h);return c.texData.get(s.dataId).values=n,s}let f;return f=We().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=t?new $F(t,l.shape,u.shape,n):new BF(e,l.shape,u.shape),c.runWebGLProgram(f,[l,u],h)}}function YF(e,t=!1){if("linear"===e)return"return x;";if("relu"===e)return t?"\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n":"if (isnan(x)) return x;\n return (x < 0.0) ? 0.0 : x;\n";if("elu"===e)return t?"\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n":"return (x >= 0.0) ? x : (exp(x) - 1.0);";if("relu6"===e)return t?"\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n":"if (isnan(x)) return x;\n return (x < 0.0) ? 0.0 : min(6.0, x);\n";if("prelu"===e)return t?GF:HF;if("leakyrelu"===e)return t?VF:UF;if("sigmoid"===e)return"return 1.0 / (1.0 + exp(-1.0 * x));";throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}class JF{constructor(e,t,n,r=!1,a=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;const u=r?e[1]:e[2],c=Math.ceil(u/2),h=r?"i * 2, rc.y":"rc.y, i * 2",f=a?"rc.z, i * 2":"i * 2, rc.z",d=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],p=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"];let m="",g="";i&&(m=o?`vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ${i}\n }`:l?`vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ${i}\n }`:`vec4 activation(vec4 x) {\n ${i}\n }`,g="result = activation(result);");const y=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let b="rc.x",v="rc.x";e[0]`The new shape (${l}) has ${u} elements and the old shape (${a.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`));const c=i.texData.get(a.dataId);return!c.isPacked||aT(a.shape,l)||null!==c.texture&&aT(c.shape,l)?(i.incRef(a.dataId),{dataId:a.dataId,shape:l,dtype:a.dtype}):function(e,t,n){const r=[eT(e.shape),...tT(e.shape)],a={dtype:e.dtype,shape:r,dataId:e.dataId},s=[eT(t),...tT(t)],i=new kF(s,r),o=n.runWebGLProgram(i,[a],e.dtype,null,!0);return{dataId:o.dataId,shape:t,dtype:o.dtype}}(a,l,i)}const rR={kernelName:er,backendName:"webgl",kernelFunc:nR};class aR{constructor(e,t){this.variableNames=["x"];const{windowSize:n,batchSize:r,inSize:a,outSize:s}=e;this.outputShape=[r,s];const i=4*Math.floor(n/4),o=n%4;let l="sumValue += dot(values, ones);";if(null!=t){const e=1/t;l=`sumValue += dot(values * ${ie(e)?e.toPrecision(2):e}, ones);`}let u="";a%n>0&&(u=`\n if (inIdx < 0 || inIdx >= ${a}) {\n return 0.0;\n }\n `),this.userCode=`\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${u}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${i}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${l}\n }\n\n int inIdx = inOffset + ${i};\n if (${1===o}) {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n ${l}\n } else if (${2===o}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n ${l}\n } else if (${3===o}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n ${l}\n }\n setOutput(sumValue);\n }\n `}}class sR{constructor(e,t){this.variableNames=["x"];const{windowSize:n,batchSize:r,inSize:a,outSize:s}=e;this.outputShape=[r,s];let i="0.0",o="";"prod"===t?i="1.0":"min"===t?(i="1.0 / 1e-20",o="min"):"max"===t&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;"sum"===t?l="sumValue":"prod"===t?l="prodValue":"all"===t?l="allValue":"any"===t&&(l="anyValue");const u=4*Math.floor(n/4),c=n%4;let h=`\n if (${"sum"===t}) {\n sumValue += dot(values, ones);\n } else if (${"prod"===t}) {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = ${o}(values, minMaxValue);\n }\n `,f="vec4";"all"===t?(i="1.0",h="\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n ",f="bvec4"):"any"===t&&(i="0.0",h="\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n ",f="bvec4");let d="";a%n>0&&(d=`\n if (inIdx < 0 || inIdx >= ${a}) {\n return initializationValue;\n }\n `),this.userCode=`\n const float initializationValue = ${i};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${d}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n vec4 minMaxValue = vec4(${i});\n float prodValue = 1.0;\n float sumValue = 0.0;\n float allValue = 1.0;\n float anyValue = 0.0;\n\n for (int i = 0; i < ${u}; i += 4) {\n int inIdx = inOffset + i;\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${h}\n }\n\n int inIdx = inOffset + ${u};\n if (${1===c}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${h}\n } else if (${2===c}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n ${h}\n } else if (${3===c}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n ${h}\n }\n setOutput(${l});\n }\n `}}function iR(e,t,n,r){const a=function(e){const t=[];for(;0===t.length||1!==t[t.length-1].outSize;){const n=t.length?t[t.length-1].outSize:e[1],r=Jf(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape);let s=e;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);const n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t);for(let t=0;t6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);const r=LT(this.rank),a=wF("rc",this.rank),s=new Array(this.rank);for(let e=0;e=2&&c>=2&&(y===b||1===y||1===b),(()=>`Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${m}) and (${g}).`));const v=(y>b?e.shape.slice(0,-2):t.shape.slice(0,-2)).concat([d,p]);Q(h===f,(()=>`Error in matMul: inner shapes (${h}) and (${f}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${r} must match.`));const w=n?[y,h,d]:[y,d,h],_=r?[b,p,f]:[b,f,p],x=nR({inputs:{x:e},backend:a,attrs:{shape:w}}),k=nR({inputs:{x:t},backend:a,attrs:{shape:_}}),E=[x,k],C=Math.max(y,b),S=n?x.shape[1]:x.shape[2],N=null!=s,I=null!=i,A="leakyrelu"===l,D=null!=l?YF(l,!0):null;let T;if((1===d||1===p)&&S>1e3&&!1===(N||I||A||null!=D)){let e=x,t=k;n&&(e=fR({inputs:{x},backend:a,attrs:{perm:[0,2,1]}}),E.push(e)),r&&(t=fR({inputs:{x:k},backend:a,attrs:{perm:[0,2,1]}}),E.push(t));const s=1===p;let i=e;1!==p&&(i=nR({inputs:{x:e},backend:a,attrs:{shape:[C,S,1]}}),E.push(i));const o=1===p?2:1;let l=t;s&&(l=nR({inputs:{x:t},backend:a,attrs:{shape:[C,1,S]}}),E.push(l));const u=eR({inputs:{a:i,b:l},backend:a});T=cR({inputs:{x:u},backend:a,attrs:{axis:o,keepDims:!0}}),E.push(u)}else{const l=Da(e.dtype,t.dtype),u=new JF(w,_,[C,d,p],n,r,N,D,I,A),c=[x,k];if(null!=s&&c.push(s),I&&c.push(i),A){const e=a.makeTensorInfo([],"float32",ra(o,"float32"));c.push(e),E.push(e)}T=a.runWebGLProgram(u,c,l)}const F=nR({inputs:{x:T},backend:a,attrs:{shape:v}});E.push(T);for(const e of E)a.disposeIntermediateTensorInfo(e);return F}const mR={kernelName:Vr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{a,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:h}=r;return pR({a,b:s,transposeA:l,transposeB:u,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:h,activation:c})}},gR="return abs(x);",yR={kernelName:Ge,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{x:r}=t;if(n.shouldExecuteOnCPU([r])&&"complex64"!==r.dtype){const e=n.texData.get(r.dataId),t=cF(e.values);return n.makeTensorInfo(r.shape,r.dtype,t)}let a;return a=We().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new TF(r.shape,gR):new IF(r.shape,gR),n.runWebGLProgram(a,[r],r.dtype)}},bR=KF({opSnippet:"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n"}),vR={kernelName:Xe,backendName:"webgl",kernelFunc:bR},wR=KF({opSnippet:"if (isnan(x)) return x;\n if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),_R={kernelName:Ke,backendName:"webgl",kernelFunc:wR},xR="return a + b;",kR=qF({opSnippet:xR,packedOpSnippet:xR,supportsComplex:!0,cpuKernelImpl:VT}),ER={kernelName:qe,backendName:"webgl",kernelFunc:kR};class CR{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map(((e,t)=>`T${t}`));const n=[];this.variableNames.forEach((e=>{n.push(`float v${e} = get${e}AtOutCoords();`)}));const r=this.variableNames.map((e=>`v${e}`)).join(" + ");this.userCode=`\n void main() {\n ${n.join("\n ")}\n\n float result = ${r};\n setOutput(result);\n }\n `}}class SR{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map(((e,t)=>`T${t}`));const n=[];this.variableNames.forEach((e=>{n.push(`vec4 v${e} = get${e}AtOutCoords();`)}));const r=this.variableNames.map((e=>`v${e}`)).join(" + ");this.userCode=`\n void main() {\n ${n.join("\n ")}\n\n vec4 result = ${r};\n setOutput(result);\n }\n `}}const NR={kernelName:Ye,backendName:"webgl",kernelFunc:function e(t){const{inputs:n,backend:r}=t,a=n;if(1===a.length)return PF({inputs:{x:a[0]},backend:r});if(a.length>We().get("WEBGL_MAX_TEXTURES_IN_SHADER")){const t=Math.floor(a.length/2),n=e({inputs:a.slice(0,t),backend:r}),s=e({inputs:a.slice(t),backend:r});return e({inputs:[n,s],backend:r})}const s=a.map((e=>e.dtype)).reduce(((e,t)=>Da(e,t))),i=a.map((e=>e.shape)),o=We().getBool("WEBGL_PACK")?new SR(a[0].shape,i):new CR(a[0].shape,i);return r.runWebGLProgram(o,a,s)}},IR={kernelName:Je,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=de(s,a.shape);let u=l;const c=qu(u,o);let h=a;null!=c&&(h=fR({inputs:{x:a},backend:n,attrs:{perm:c}}),u=Ju(u.length,o)),Ku("all",u,o);const[f,d]=Gu(h.shape,u),p=nR({inputs:{x:h},backend:n,attrs:{shape:[-1,re(d)]}}),m=iR(p,p.dtype,"all",n);let g;return g=nR(i?{inputs:{x:m},backend:n,attrs:{shape:Xu(f,l)}}:{inputs:{x:m},backend:n,attrs:{shape:f}}),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(m),null!=c&&n.disposeIntermediateTensorInfo(h),g}},AR={kernelName:Ze,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=de(s,a.shape);let u=l;const c=qu(u,o);let h=a;null!=c&&(h=fR({inputs:{x:a},backend:n,attrs:{perm:c}}),u=Ju(u.length,o)),Ku("any",u,o);const[f,d]=Gu(h.shape,u),p=nR({inputs:{x:h},backend:n,attrs:{shape:[-1,re(d)]}}),m=iR(p,p.dtype,"any",n);let g;return g=nR(i?{inputs:{x:m},backend:n,attrs:{shape:Xu(f,l)}}:{inputs:{x:m},backend:n,attrs:{shape:f}}),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(m),null!=c&&n.disposeIntermediateTensorInfo(h),g}};class DR{constructor(e,t,n){this.variableNames=["A"];const{windowSize:r,batchSize:a,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,s];const i="max"===t?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${r};\n\n int bestIndex = inOffset;\n float bestValue = getA(batch, bestIndex);\n\n for (int i = 0; i < ${r}; i++) {\n int inIdx = ${o};\n float candidate = getA(batch, inIdx);\n if (candidate ${i} bestValue) {\n bestValue = candidate;\n bestIndex = inIdx;\n }\n }\n setOutput(float(bestIndex));\n }\n `}}class TR{constructor(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Q(e.length>2,(()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`));const a=e[e.length-1],s=Math.ceil(a/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),r||this.variableNames.push("bestIndicesA");const i=this.outputShape,o=i.length,l=LT(o),u=_F("coords",o);let c,h;if(1===s){h=o+1;const e=LT(h);c=`\n ${e} sourceLocR = ${e}(${u.join()}, 0);\n ++${u[o-1]};\n ${e} sourceLocG = ${e}(${u.join()}, 0);\n ++${u[o-2]};\n ${e} sourceLocA = ${e}(${u.join()}, 0);\n --${u[o-1]};\n ${e} sourceLocB = ${e}(${u.join()}, 0);\n --${u[o-2]};`}else h=o,c=`\n ${l} sourceLocR = coords;\n ++${u[o-1]};\n ${l} sourceLocG = coords;\n ++${u[o-2]};\n ${l} sourceLocA = coords;\n --${u[o-1]};\n ${l} sourceLocB = coords;\n --${u[o-2]};`;const f=["x","y","z","w","u","v"].slice(0,h),d="."+f[h-1],p=f.map((e=>"int "+e)),m=_F("sourceLocR",h-1).concat("inIdx.r"),g=_F("sourceLocG",h-1).concat("inIdx.g"),y=_F("sourceLocB",h-1).concat("inIdx.b"),b=_F("sourceLocA",h-1).concat("inIdx.a"),v="max"===n?"greaterThan":"lessThan",w=r?"":`\n inIdx = round(vec4(getBestIndicesAChannel(${m.join()}),\n getBestIndicesAChannel(${g.join()}),\n getBestIndicesAChannel(${y.join()}),\n getBestIndicesAChannel(${b.join()})));`,_=`vec4(\n getAChannel(${m.join()}),\n hasNextCol ? getAChannel(${g.join()}) : 0.,\n hasNextRow ? getAChannel(${y.join()}) : 0.,\n hasNextRow && hasNextCol ? getAChannel(${b.join()}) : 0.)`,x=r?"":`\n float getBestIndicesAChannel(${p.join()}) {\n return getChannel(getBestIndicesA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }`;this.userCode=`\n float getAChannel(${p.join()}) {\n return getChannel(getA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }\n ${x}\n void main() {\n ${l} coords = getOutputCoords();\n bool hasNextCol = ${u[o-1]} < ${i[o-1]-1};\n bool hasNextRow = ${u[o-2]} < ${i[o-2]-1};\n ${c}\n ivec4 srcIdx = ivec4(sourceLocR${d}, sourceLocG${d},\n sourceLocB${d}, sourceLocA${d}) * ${t};\n ivec4 inIdx = srcIdx;\n vec4 bestIndex = vec4(inIdx);\n vec4 bestValue = ${_};\n\n for (int i = 0; i < ${t}; i++) {\n inIdx = srcIdx;\n ${w}\n vec4 candidate = ${_};\n bvec4 nan = isnan(candidate);\n bvec4 replace = bvec4(\n vec4(${v}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n `}}function FR(e,t,n,r=null){let a=t.shape[0],s=t.shape[1];null!=r&&(a=r.shape[0],s=r.shape[1]);const i=Jf(s),o={windowSize:i,inSize:s,batchSize:a,outSize:Math.ceil(s/i)},l=new DR(o,n,null==r),u=[t];null!=r&&u.push(r);const c=e.runWebGLProgram(l,u,"int32");if(1===c.shape[1])return c;const h=FR(e,t,n,c);return e.disposeIntermediateTensorInfo(c),h}function RR(e,t,n,r=null){const a=null!=r?r.shape:t.shape,s=Jf(a[a.length-1]),i=new TR(a,s,n,null==r),o=null==r?[t]:[t,r],l=e.runWebGLProgram(i,o,"int32");if(l.shape.length===t.shape.length){const r=RR(e,t,n,l);return e.disposeIntermediateTensorInfo(l),r}return l}function OR(e,t,n,r){const a=[n];if(Ku("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!We().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){const n=[],[s,i]=Gu(t.shape,a),o=re(i),l=nR({inputs:{x:t},backend:e,attrs:{shape:[-1,o]}});n.push(l);const u=FR(e,l,r);n.push(u);const c=nR({inputs:{x:u},backend:e,attrs:{shape:s}});return n.forEach((t=>e.disposeIntermediateTensorInfo(t))),c}return RR(e,t,r)}const MR={kernelName:Qe,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s}=r;let i=de(s,a.shape);const o=qu(i,a.shape.length);let l=a;const u=[];null!=o&&(l=fR({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(l),i=Ju(i.length,l.shape.length)),Ku("argMax",[i[0]],l.shape.length);const c=OR(n,l,i[0],"max");return u.forEach((e=>n.disposeIntermediateTensorInfo(e))),c}},BR={kernelName:et,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s}=r;let i=de(s,a.shape);const o=qu(i,a.shape.length);let l=a;const u=[];null!=o&&(l=fR({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(l),i=Ju(i.length,l.shape.length)),Ku("argMin",[i[0]],l.shape.length);const c=OR(n,l,i[0],"min");return u.forEach((e=>n.disposeIntermediateTensorInfo(e))),c}},$R=KF({opSnippet:"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n"}),PR={kernelName:tt,backendName:"webgl",kernelFunc:$R},LR=KF({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),zR={kernelName:nt,backendName:"webgl",kernelFunc:LR},WR=KF({opSnippet:"if (isnan(x)) return x;\n return atan(x);\n"}),UR={kernelName:rt,backendName:"webgl",kernelFunc:WR},VR=qF({opSnippet:"\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n\n return atan(a, b);\n",packedOpSnippet:"\n vec4 result = atan(a, b);\n vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n"}),jR={kernelName:st,backendName:"webgl",kernelFunc:VR},HR=KF({opSnippet:"if (isnan(x)) return x;\n if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;"}),GR={kernelName:at,backendName:"webgl",kernelFunc:HR};class XR{constructor(e,t,n,r=!1,a=!1){if(this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");const s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=e.padInfo.top,d=e.padInfo.left;this.outputShape=e.outShape;const p="avg"===t,m=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`;let y="0.0";if(p||(y="-1.0 / 1e-20"),n){const t=">=";return void(this.userCode=`\n const ivec2 strides = ivec2(${i}, ${o});\n const ivec2 pads = ivec2(${f}, ${d});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n float avgValue = 0.0;\n\n for (int wR = 0; wR < ${c};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${h};\n wC += ${u}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${t} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${r?a?m:g:`wR * ${h} + wC`};\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `)}let b=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;"avg"===t&&(b="avgValue / count");const v=4*Math.floor(s/4),w=s%4,_=`\n if (${p}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = max(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec2 strides = ivec2(${i}, ${o});\n const ivec2 pads = ivec2(${f}, ${d});\n const float initializationValue = ${y};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= ${e.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4(${y});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < ${c};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${v}; wC += 4) {\n int xC = xCCorner + wC * ${u};\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${u}, d),\n getValue(batch, xR, xC + 2 * ${u}, d),\n getValue(batch, xR, xC + 3 * ${u}, d)\n );\n\n ${_}\n }\n\n int xC = xCCorner + ${v};\n if (${1===w}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${_}\n } else if (${2===w}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${u}, d),\n initializationValue,\n initializationValue\n );\n\n ${_}\n } else if (${3===w}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${u}, d),\n getValue(batch, xR, xC + 2 * ${u}, d),\n initializationValue\n );\n\n ${_}\n }\n }\n setOutput(${b});\n }\n `}}class KR{constructor(e,t,n,r=!1,a=!1){if(this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");const s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,c=e.dilationHeight,h=e.dilationWidth,f=e.effectiveFilterDepth,d=e.effectiveFilterHeight,p=e.effectiveFilterWidth,m=e.padInfo.front,g=e.padInfo.top,y=e.padInfo.left;this.outputShape=e.outShape;const b="avg"===t;let v="0.0";if(b||(v="-1.0 / 1e-20"),n){const t=">=";return void(this.userCode=`\n const ivec3 strides =\n ivec3(${i}, ${o}, ${l});\n const ivec3 pads = ivec3(${m}, ${g}, ${y});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n\n for (int wD = 0; wD < ${f};\n wD += ${u}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${c}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${p};\n wC += ${h}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xD, xR, xC, ch);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${t} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${r?a?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${d} * ${p} +\n wR * ${p} + wC`};\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `)}let w=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;"avg"===t&&(w="avgValue / count");const _=4*Math.floor(s/4),x=s%4,k=`\n if (${b}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = max(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec3 strides =\n ivec3(${i}, ${o}, ${l});\n const ivec3 pads = ivec3(${m}, ${g}, ${y});\n const float initializationValue = ${v};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xD, int xR, int xC, int ch) {\n if (xC < 0 || xC >= ${e.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xD, xR, xC, ch);\n }\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n // ? = to be determined\n vec4 minMaxValue = vec4(${v});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD < ${f};\n wD += ${u}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${c}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${_}; wC += 4) {\n int xC = xCCorner + wC * ${h};\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${h}, ch),\n getValue(batch, xD, xR, xC + 2 * ${h}, ch),\n getValue(batch, xD, xR, xC + 3 * ${h}, ch)\n );\n\n ${k}\n }\n\n int xC = xCCorner + ${_};\n if (${1===x}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${k}\n } else if (${2===x}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${h}, ch),\n initializationValue,\n initializationValue\n );\n\n ${k}\n } else if (${3===x}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${h}, ch),\n getValue(batch, xD, xR, xC + 2 * ${h}, ch),\n initializationValue\n );\n\n ${k}\n }\n }\n setOutput(${w});\n }\n }\n `}}const qR={kernelName:it,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t;cT(a,"avgPool");const{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=r;Q(Nl(i,1),(()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '1'`));const u=yl(a.shape,s,i,1,o,l);if(1===u.filterWidth&&1===u.filterHeight&&se(u.inShape,u.outShape))return PF({inputs:{x:a},backend:n});const c=new XR(u,"avg",!1);return n.runWebGLProgram(c,[a],"float32")}},YR={kernelName:lt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=r,c=bl(a.shape,s,i,[1,1,1],o,l,u),h=new KR(c,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}};class JR{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;const t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=o-1-e.padInfo.top,c=l-1-e.padInfo.left,h=1/(t*n);this.userCode=`\n const ivec2 pads = ivec2(${u}, ${c});\n const float avgMultiplier = float(${h});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${o};\n wR += ${s}) {\n float dyR = float(dyRCorner + wR) / ${r}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${l};\n wC+= ${i}) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n `}}class ZR{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;const t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,f=e.effectiveFilterWidth,d=c-1-e.padInfo.front,p=h-1-e.padInfo.top,m=f-1-e.padInfo.left,g=1/(t*n*r);this.userCode=`\n const ivec3 pads = ivec3(${d}, ${p}, ${m});\n const float avgMultiplier = float(${g});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${c};\n wD += ${o}) {\n float dyD = float(dyDCorner + wD) / ${a}.0;\n\n if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${h};\n wR += ${l}) {\n float dyR = float(dyRCorner + wR) / ${s}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${f};\n wC += ${u}) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n }\n setOutput(dotProd);\n }\n `}}const QR={kernelName:ut,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:c}=r,h=bl(i.shape,o,l,[1,1,1],u,c),f=new ZR(h);return n.runWebGLProgram(f,[a],i.dtype)}},eO={kernelName:ot,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s;cT([a,s],"avgPoolGrad");const{filterSize:o,strides:l,pad:u}=r,c=yl(i.shape,o,l,1,u),h=new JR(c);return n.runWebGLProgram(h,[a],i.dtype)}},tO={kernelName:ct,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{a,b:s}=t,{transposeA:i,transposeB:o}=r;return pR({a,b:s,transposeA:i,transposeB:o,backend:n})}};class nO{constructor(e,t,n,r,a,s){this.outputShape=[],this.variableNames=["x","mean","variance"],Zo(e,t),Zo(e,n);let i="0.0";null!=r&&(Zo(e,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";null!=a&&(Zo(e,a),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`\n void main() {\n float x = getXAtOutCoords();\n float mean = getMeanAtOutCoords();\n float variance = getVarianceAtOutCoords();\n float offset = ${i};\n float scale = ${o};\n float inv = scale * inversesqrt(variance + float(${s}));\n setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n }\n `}}class rO{constructor(e,t,n,r,a,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Zo(e,t),Zo(e,n);let i="vec4(0.0)";null!=r&&(Zo(e,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";null!=a&&(Zo(e,a),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`\n void main() {\n vec4 offset = ${i};\n vec4 scale = ${o};\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4(${s}));\n\n setOutput((x - mean) * inv + offset);\n }\n `}}const aO={kernelName:Qt,backendName:"webgl",kernelFunc:({inputs:e,backend:t,attrs:n})=>{const{x:r,mean:a,variance:s,offset:i,scale:o}=e;Q(a.shape.length===s.shape.length,(()=>"Batch normalization gradient requires mean and variance to have equal ranks.")),Q(null==i||a.shape.length===i.shape.length,(()=>"Batch normalization gradient requires mean and offset to have equal ranks.")),Q(null==o||a.shape.length===o.shape.length,(()=>"Batch normalization gradient requires mean and scale to have equal ranks."));let{varianceEpsilon:l}=n;null==l&&(l=.001);const u=[r,a,s];let c=null;null!=i&&(c=i.shape,u.push(i));let h=null;null!=o&&(h=o.shape,u.push(o));const f=We().getBool("WEBGL_PACK_NORMALIZATION")?new rO(r.shape,a.shape,s.shape,c,h,l):new nO(r.shape,a.shape,s.shape,c,h,l);return t.runWebGLProgram(f,u,u[0].dtype)}};class sO{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;const t=LT(this.rank),n=`uniform int start[${this.rank}];`,r=function(e){if(1===e)return"sourceLoc";if(e<=6)return iO.slice(0,e).map((e=>"sourceLoc."+e)).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}(this.rank);let a;a=`\n ${t} sourceLoc;\n ${t} coords = getOutputCoords();\n ${e.map(((e,t)=>`sourceLoc.${iO[t]} = start[${t}] + coords.${iO[t]};`)).join("\n")}\n `,this.userCode=`\n ${n}\n void main() {\n ${a}\n setOutput(getSource(${r}));\n }\n `}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{null==this.startLoc&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),null==this.startLoc)||t.gl.uniform1iv(this.startLoc,e)}}}const iO=["x","y","z","w","u","v"];class oO{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;const t=LT(this.rank),n=_F("coords",this.rank),r=_F("sourceLoc",this.rank),a=1===this.rank?"sourceLoc":`vec2(${r.slice(-2).join()})`,s=`getChannel(getSource(${r.join()}), ${a})`,i=`\n result.x = ${s};\n if (++${n[this.rank-1]} < ${e[this.rank-1]}) {\n ++${r[this.rank-1]};\n result.y = ${s};\n --${r[this.rank-1]};\n }\n `,o=1===this.rank?"":`\n --${n[this.rank-1]};\n if (++${n[this.rank-2]} < ${e[this.rank-2]}) {\n ++${r[this.rank-2]};\n result.z = ${s};\n if (++${n[this.rank-1]} < ${e[this.rank-1]}) {\n ++${r[this.rank-1]};\n result.w = ${s};\n }\n }\n `,l=this.rank<=4?`sourceLoc = coords +\n ${t}(${e.map(((e,t)=>`start[${t}]`)).join()});`:e.map(((e,t)=>`${r[t]} = ${n[t]} + start[${t}];`)).join("\n");this.userCode=`\n uniform int start[${this.rank}];\n void main() {\n ${t} coords = getOutputCoords();\n ${t} sourceLoc;\n ${l}\n vec4 result = vec4(0.);\n ${i}\n ${o}\n setOutput(result);\n }\n `}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{null==this.startLoc&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),null==this.startLoc)||t.gl.uniform1iv(this.startLoc,e)}}}function lO(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{begin:s,size:i}=r,[o,l]=Ui(a,s,i);if(Ii(a,o,l),0===re(l))return n.makeTensorInfo(l,a.dtype,[]);if(n.shouldExecuteOnCPU([a])||"string"===a.dtype){const e=n.texData.get(a.dataId),t=hF(e.values,o,l,a.shape,a.dtype);return n.makeTensorInfo(l,a.dtype,t)}const{isPacked:u}=n.texData.get(a.dataId),c=zi(a.shape,o,l);if(u||!c){const e=We().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new oO(l):new sO(l),t=e.getCustomSetupFunc(o);return n.runWebGLProgram(e,[a],a.dtype,t)}return n.uploadToGPU(a.dataId),function(e,t,n,r){const a=r.texData.get(e.dataId),s=r.makeTensorInfo(n,e.dtype),i=r.texData.get(s.dataId);Object.assign(i,a),i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=Wi(t,Ae(e.shape));a.slice&&(o+=a.slice.flatOffset),i.slice={flatOffset:o,origDataId:a.slice&&a.slice.origDataId||e.dataId};const l=r.dataRefCount.get(i.slice.origDataId)||1;return r.dataRefCount.set(i.slice.origDataId,l+1),s}(a,o,l,n)}const uO={kernelName:fr,backendName:"webgl",kernelFunc:lO},cO={kernelName:ht,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockShape:s,crops:i}=r;Q(a.shape.length<=4,(()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"));const o=s.reduce(((e,t)=>e*t)),l=Qf(a.shape,s,o),u=ed(l.length,s.length),c=td(a.shape,s,o),h=nd(i,s.length),f=rd(c,i,s.length),d=[],p=nR({inputs:{x:a},backend:n,attrs:{shape:l}}),m=fR({inputs:{x:p},backend:n,attrs:{perm:u}}),g=nR({inputs:{x:m},backend:n,attrs:{shape:c}}),y=lO({inputs:{x:g},backend:n,attrs:{begin:h,size:f}});return d.push(p),d.push(m),d.push(g),d.forEach((e=>n.disposeIntermediateTensorInfo(e))),y}},hO={kernelName:ft,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,weights:s}=t,{size:i}=r,o=n.readSync(a.dataId),l=n.readSync(s.dataId),u=jT(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}},fO=qF({opSnippet:"return float(a != b);",dtype:"bool"}),dO={kernelName:Pn,backendName:"webgl",kernelFunc:fO};function pO(e){const{inputs:t,backend:n}=e,{input:r}=t;return PF({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}const mO={kernelName:Jn,backendName:"webgl",kernelFunc:pO},gO={kernelName:pt,backendName:"webgl",kernelFunc:function e(t){const{inputs:n,backend:r,attrs:a}=t,{x:s}=n,{dtype:i}=a;if("complex64"===i){if("complex64"===s.dtype)return PF({inputs:{x:s},backend:r});const t=oc(s.shape),n=e({inputs:{x:s},backend:r,attrs:{dtype:"float32"}}),a=zF({inputs:{real:n,imag:t},backend:r});return t.dispose(),r.disposeIntermediateTensorInfo(n),a}if("complex64"===s.dtype){const t=pO({inputs:{input:s},backend:r}),n=e({inputs:{x:t},backend:r,attrs:{dtype:i}});return r.disposeIntermediateTensorInfo(t),n}if(!ve(s.dtype,i)){const e=PF({inputs:{x:s},backend:r});return{dataId:e.dataId,shape:e.shape,dtype:i}}if("int32"===i)return function(e,t){const n=new IF(e.shape,"return float(int(x));"),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(s,r);if("bool"===i){const e=r.makeTensorInfo([],"bool",me("bool",1)),t=fO({inputs:{a:s,b:e},backend:r});return r.disposeIntermediateTensorInfo(e),t}throw new Error(`Error in Cast: failed to cast ${s.dtype} to ${i}`)}},yO="return ceil(x);",bO=KF({opSnippet:yO,packedOpSnippet:yO,cpuKernelImpl:GT}),vO={kernelName:mt,backendName:"webgl",kernelFunc:bO};class wO{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n uniform float minVal;\n uniform float maxVal;\n\n void main() {\n float value = getAAtOutCoords();\n if (isnan(value)) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, minVal, maxVal));\n }\n "}getCustomSetupFunc(e,t){return(n,r)=>{null==this.minLoc&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}}class _O{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode="\n uniform float minVal;\n uniform float maxVal;\n\n void main() {\n vec4 value = getAAtOutCoords();\n\n if (any(isnan(value))) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n }\n "}getCustomSetupFunc(e,t){return(n,r)=>{null==this.minLoc&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}}const xO={kernelName:gt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{clipValueMin:s,clipValueMax:i}=r;let o;o=We().getBool("WEBGL_PACK_CLIP")?new _O(a.shape):new wO(a.shape);const l=o.getCustomSetupFunc(s,i);return n.runWebGLProgram(o,[a],a.dtype,l)}};class kO{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode="\n void main() {\n float re = abs(getRealAtOutCoords());\n float im = abs(getImagAtOutCoords());\n float mx = max(re, im);\n\n // sadly the length function in glsl is not underflow-safe\n // (at least not on Intel GPUs). So the safe solution is\n // to ensure underflow-safety in all cases.\n setOutput(\n mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n );\n }\n "}}function EO(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}const CO={kernelName:bt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{x:r}=t,a=n.texData.get(r.dataId),s=new kO(r.shape),i=[EO(r,a.complexTensorInfos.real),EO(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}};class SO{constructor(e){this.outputShape=[],this.outputShape=qf(e,1),this.variableNames=e.map(((e,t)=>`T${t}`));const t=new Array(e.length-1);t[0]=e[0][1];for(let n=1;n`T${t}`));const o=new Array(e.length-1);o[0]=e[0][t];for(let n=1;n= ${o[e-1]}) {\n return getChannel(\n getT${e}(${IO(i,l,t)}),\n vec2(${IO(u,l,t)}));\n }`}const f=o.length,d=o[o.length-1];h+=`\n return getChannel(\n getT${f}(${IO(i,l,d)}),\n vec2(${IO(u,l,d)}));`,this.userCode=`\n float getValue(${i.map((e=>"int "+e))}) {\n ${h}\n }\n\n void main() {\n ${a} coords = getOutputCoords();\n vec4 result = vec4(getValue(${s}), 0., 0., 0.);\n\n ${s[r-1]} = ${s[r-1]} + 1;\n if (${s[r-1]} < ${n[r-1]}) {\n result.g = getValue(${s});\n }\n\n ${s[r-2]} = ${s[r-2]} + 1;\n if (${s[r-2]} < ${n[r-2]}) {\n result.a = getValue(${s});\n }\n\n ${s[r-1]} = ${s[r-1]} - 1;\n if (${s[r-2]} < ${n[r-2]} &&\n ${s[r-1]} < ${n[r-1]}) {\n result.b = getValue(${s});\n }\n setOutput(result);\n }\n `}}function IO(e,t,n){const r=e.indexOf(t);return e.map(((e,t)=>t===r?`${e} - ${n}`:e)).join()}function AO(e){const{inputs:t,backend:n}=e,{input:r}=t;return PF({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}const DO={kernelName:on,backendName:"webgl",kernelFunc:AO};function TO(e,t,n){const r=e[0].dtype;if("complex64"===r){const r=e.map((e=>pO({inputs:{input:e},backend:n}))),a=e.map((e=>AO({inputs:{input:e},backend:n}))),s=TO(r,t,n),i=TO(a,t,n),o=zF({inputs:{real:s,imag:i},backend:n});return r.forEach((e=>n.disposeIntermediateTensorInfo(e))),a.forEach((e=>n.disposeIntermediateTensorInfo(e))),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),o}let a=n.shouldExecuteOnCPU(e);if("string"===r&&(a=!0),a){const a=e.map((e=>{const r=re(e.shape.slice(t));return nR({inputs:{x:e},backend:n,attrs:{shape:[-1,r]}})})),s=a.map((e=>({vals:n.readSync(e.dataId),shape:e.shape}))),i=qf(a.map((e=>e.shape)),1),o=1===a[0].shape[0],l=XT(s,i,r,o),u=qf(e.map((e=>e.shape)),t),c=n.makeTensorInfo(u,r,l);return a.forEach((e=>n.disposeIntermediateTensorInfo(e))),c}if(e.length>We().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){const r=Math.floor(e.length/2),a=TO(e.slice(0,r),t,n),s=TO(e.slice(r),t,n),i=TO([a,s],t,n);return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(s),i}if(We().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){const a=new NO(e.map((e=>e.shape)),t);return n.runWebGLProgram(a,e,r)}const{tensors2D:s,outShape:i}=function(e,t,n){const r=qf(e.map((e=>e.shape)),t);return{tensors2D:e.map((e=>nR({inputs:{x:e},attrs:{shape:[-1,re(e.shape.slice(t))]},backend:n}))),outShape:r}}(e,t,n),o=new SO(s.map((e=>e.shape))),l=n.runWebGLProgram(o,s,r);s.forEach((e=>n.disposeIntermediateTensorInfo(e)));const u=nR({inputs:{x:l},attrs:{shape:i},backend:n});return n.disposeIntermediateTensorInfo(l),u}function FO(e){const{inputs:t,backend:n,attrs:r}=e,{axis:a}=r,s=de(a,t[0].shape)[0],i=qf(t.map((e=>e.shape)),s);if(0===re(i))return n.makeTensorInfo(i,t[0].dtype,[]);const o=t.filter((e=>re(e.shape)>0));return 1===o.length?PF({inputs:{x:o[0]},backend:n}):(Kf(o.map((e=>e.shape)),s),TO(o,s,n))}const RO={kernelName:vt,backendName:"webgl",kernelFunc:FO};class OO{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;const s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,h=e.filterHeight,f=e.filterWidth,d=4*Math.floor(e.inChannels/4),p=e.inChannels%4,m="channelsLast"===e.dataFormat,g=m?1:2,y=m?2:3,b=m?3:1;let v="",w="";n&&(v=r?`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:a?`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:`\n float activation(float x) {\n ${n}\n }\n `,w="result = activation(result);");const _=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode=`\n ${v}\n\n const ivec2 strides = ivec2(${o}, ${l});\n const ivec2 pads = ivec2(${s}, ${i});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[${b}];\n\n ivec2 xRCCorner =\n ivec2(coords[${g}], coords[${y}]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${h}; wR++) {\n int xR = xRCorner + wR * ${u};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${c};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if (${m}) {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if (${1===p}) {\n\n if (${m}) {\n dotProd +=\n getX(batch, xR, xC, ${d}) *\n getW(wR, wC, ${d}, d2);\n } else {\n dotProd +=\n getX(batch, ${d}, xR, xC) *\n getW(wR, wC, ${d}, d2);\n }\n\n } else if (${2===p}) {\n vec2 wValues = vec2(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2)\n );\n\n if (${m}) {\n vec2 xValues = vec2(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if (${3===p}) {\n vec3 wValues = vec3(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2),\n getW(wR, wC, ${d} + 2, d2)\n );\n\n if (${m}) {\n vec3 xValues = vec3(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1),\n getX(batch, xR, xC, ${d} + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC),\n getX(batch, ${d} + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n ${_}\n ${w}\n setOutput(result);\n }\n `}}class MO{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;const t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.filterDepth,h=e.filterHeight,f=e.filterWidth,d=4*Math.floor(e.inChannels/4),p=e.inChannels%4;this.userCode=`\n const ivec3 strides = ivec3(${a}, ${s}, ${i});\n const ivec3 pads = ivec3(${t}, ${n}, ${r});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < ${c}; wF++) {\n int xF = xFCorner + wF * ${o};\n\n if (xF < 0 || xF >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${h}; wR++) {\n int xR = xRCorner + wR * ${l};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${u};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (${1===p}) {\n dotProd +=\n getX(batch, xF, xR, xC, ${d}) *\n getW(wF, wR, wC, ${d}, d2);\n } else if (${2===p}) {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (${3===p}) {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1),\n getX(batch, xF, xR, xC, ${d} + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2),\n getW(wF, wR, wC, ${d} + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class BO{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;const{filterWidth:r,inChannels:a,strideWidth:s,strideHeight:i,padInfo:o,outWidth:l,dilationWidth:u,dilationHeight:c,dataFormat:h}=n,{left:f,top:d}=o,p=a*r,m=fT(),g="channelsLast"===h,y=g?0:1,b=g?1:2;let v="";for(let n=0;n<=1;n++)for(let r=0;r<=1;r++)v+=`\n blockIndex = rc.y + ${r};\n pos = rc.x + ${n};\n\n if(blockIndex < ${e[1]} && pos < ${e[0]}) {\n offsetY = int(blockIndex / (${l})) * ${i} - ${d};\n d0 = offsetY + ${c} * (pos / ${p});\n\n if(d0 < ${t[y]} && d0 >= 0) {\n\n offsetX = int(mod(float(blockIndex), ${l}.) * ${s}. - ${f}.);\n d1 = offsetX + ${u} * (int(mod(float(pos), ${p}.) / ${a}.));\n\n if(d1 < ${t[b]} && d1 >= 0) {\n\n ch = int(mod(float(pos), ${a}.));\n\n if (${g}) {\n innerDims = vec2(d1, ch);\n result[${2*n+r}] = getChannel(\n getA(d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[${2*n+r}] = getChannel(\n getA(ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n `;this.userCode=`\n void main() {\n ivec2 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ${v}\n\n ${m.output} = result;\n }\n `}}function $O({x:e,filter:t,convInfo:n,backend:r,bias:a=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){const l=e.shape,u=r.texData.get(e.dataId),c=n.inChannels,h=l[0]*l[1]*l[2],f=n.outChannels,d="channelsLast"===n.dataFormat;let p;const m=[],g=(1===h||1===f)&&c>1e3,y=l[2]%2!=0&&!!u.isPacked;if(!g&&We().getBool("WEBGL_LAZILY_UNPACK")&&We().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&y){const c=d?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),h={dataId:e.dataId,shape:[1,c,n.inChannels],dtype:e.dtype},f=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,Q(aT(u.shape,h.shape),(()=>`packed reshape ${u.shape} to ${h.shape} isn't free`));const g=nR({inputs:{x:t},backend:r,attrs:{shape:[1,n.inChannels,n.outChannels]}});m.push(g);const y=pR({a:h,b:g,backend:r,transposeA:!1,transposeB:!1,bias:a,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),b=r.texData.get(y.dataId);Q(b.isPacked,(()=>"batchMatMul result is expected to be packed")),u.shape=f,b.shape=n.outShape,p=PF({inputs:{x:y},backend:r}),p.shape=n.outShape,m.push(y)}else{const u=nR({inputs:{x:e},backend:r,attrs:{shape:[1,d?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],n.inChannels]}}),c=nR({inputs:{x:t},backend:r,attrs:{shape:[1,n.inChannels,n.outChannels]}}),h=pR({a:u,b:c,transposeA:!1,transposeB:!1,backend:r,bias:a,activation:o,preluActivationWeights:s,leakyreluAlpha:i});p=nR({inputs:{x:h},backend:r,attrs:{shape:n.outShape}}),m.push(u),m.push(c),m.push(h)}for(const e of m)r.disposeIntermediateTensorInfo(e);return p}function PO({x:e,filter:t,convInfo:n,backend:r,bias:a=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){const{filterWidth:l,filterHeight:u,inChannels:c,outWidth:h,outHeight:f,dataFormat:d}=n,p="channelsLast"===d,m=l*u*c,g=f*h,y=[m,g],b=[],v=nR({inputs:{x:e},backend:r,attrs:{shape:e.shape.slice(1)}}),w=nR({inputs:{x:t},backend:r,attrs:{shape:[1,m,re(t.shape)/m]}});b.push(v),b.push(w);const _=new BO(y,v.shape,n),x=r.runWebGLProgram(_,[v],"float32"),k=nR({inputs:{x},backend:r,attrs:{shape:[1,y[0],y[1]]}});b.push(x),b.push(k);const E=null!=a,C=null!=s,S="leakyrelu"===o,N=o?YF(o,!0):null,I=new JF(k.shape,w.shape,[1,g,n.outChannels],!0,!1,E,N,C,S),A=[k,w];if(a&&A.push(a),C&&A.push(s),S){const e=r.makeTensorInfo([],"float32",ra(i,"float32"));A.push(e),b.push(e)}const D=r.runWebGLProgram(I,A,"float32"),T=nR({inputs:{x:D},backend:r,attrs:{shape:p?[1,f,h,n.outChannels]:[1,n.outChannels,f,h]}});b.push(D);for(const e of b)r.disposeIntermediateTensorInfo(e);return T}const LO={kernelName:wt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:c}=r,h=Il(l),f=vl(a.shape,s.shape,i,u,o,c,!1,h);let d;if(1!==f.filterHeight||1!==f.filterWidth||1!==f.dilationHeight||1!==f.dilationWidth||1!==f.strideHeight||1!==f.strideWidth||"SAME"!==f.padInfo.type&&"VALID"!==f.padInfo.type)if(We().getBool("WEBGL_CONV_IM2COL")&&1===a.shape[0])d=PO({x:a,filter:s,convInfo:f,backend:n});else{const e=new OO(f);d=n.runWebGLProgram(e,[a,s],"float32")}else d=$O({x:a,filter:s,convInfo:f,backend:n});const p=nR({inputs:{x:d},backend:n,attrs:{shape:f.outShape}});return n.disposeIntermediateTensorInfo(d),p}};class zO{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;const t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,s="channelsLast"===e.dataFormat;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${t} - ${r};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${a};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n if (${s}) {\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n } else {\n float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class WO{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;const t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s="channelsLast"===e.dataFormat,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,u=s?2:3,c=s?3:1;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${o});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[${c}];\n\n ivec2 dyCorner = ivec2(coords[${l}], coords[${u}]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${t}; wR++) {\n float dyR = float(dyRCorner + wR) / ${r}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${t} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n for (int d2 = 0; d2 < ${e.outChannels}; d2++) {\n\n if (${s}) {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n } else {\n float xValue = getDy(batch, d2, idyR, idyC);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class UO{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;const t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=`\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yF = 0; yF < ${e.outDepth}; yF++) {\n int xF = wF + yF * ${t} - ${a};\n\n if (xF < 0 || xF >= ${e.inDepth}) {\n continue;\n }\n\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${n} - ${s};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${r} - ${i};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class VO{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;const t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=r-1-e.padInfo.left;this.userCode=`\n const ivec3 pads = ivec3(${o}, ${l}, ${u});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF < ${t}; wF++) {\n float dyF = float(dyFCorner + wF) / ${a}.0;\n\n if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = ${t} - 1 - wF;\n\n for (int wR = 0; wR < ${n}; wR++) {\n float dyR = float(dyRCorner + wR) / ${s}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${n} - 1 - wR;\n\n for (int wC = 0; wC < ${r}; wC++) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${r} - 1 - wC;\n\n for (int d2 = 0; d2 < ${e.outChannels}; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}}const jO={kernelName:_t,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:c}=r,h=Il(l),f=vl(a.shape,c,i,1,o,u,!1,h),d=new zO(f);return n.runWebGLProgram(d,[a,s],"float32")}},HO={kernelName:xt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:c}=r,h=Il(u),f=vl(i,s.shape,o,1,l,c,!1,h),d=new WO(f);return n.runWebGLProgram(d,[a,s],"float32")}},GO={kernelName:kt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dilations:l}=r,u=wl(a.shape,s.shape,i,l,o),c=new MO(u);return n.runWebGLProgram(c,[a,s],"float32")}},XO={kernelName:Et,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,pad:o,filterShape:l}=r,u=wl(a.shape,l,i,1,o),c=new UO(u);return n.runWebGLProgram(c,[a,s],"float32")}},KO={kernelName:Ct,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{pad:i,strides:o,inputShape:l}=r,u=wl(l,s.shape,o,1,i),c=new VO(u);return n.runWebGLProgram(c,[a,s],"float32")}},qO=KF({opSnippet:"if (isnan(x)) return x;\n return cos(x);\n"}),YO={kernelName:St,backendName:"webgl",kernelFunc:qO},JO=KF({opSnippet:"\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n"}),ZO={kernelName:Nt,backendName:"webgl",kernelFunc:JO};class QO{constructor(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];const[s,i,o,l]=e,[u]=t,[c,h]=n;this.outputShape=[u,c,h,l];const f="bilinear"===r?1:0,[d,p]=[i-1+".0",o-1+".0"],[m,g,y]=c>1?[""+(i-1)/(c-1),"(y2-y1) * height_ratio",`y1*${d} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${d}`],[b,v,w]=h>1?[""+(o-1)/(h-1),"(x2-x1) * width_ratio",`x1*${p} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${p}`];this.userCode=`\n const float height_ratio = float(${m});\n const float width_ratio = float(${b});\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int y = coords[1];\n int x = coords[2];\n int d = coords[3];\n\n // get box vals\n float y1 = getBoxes(b,0);\n float x1 = getBoxes(b,1);\n float y2 = getBoxes(b,2);\n float x2 = getBoxes(b,3);\n\n // get image in batch index\n int bInd = round(getBoxInd(b));\n if(bInd < 0 || bInd >= ${s}) {\n return;\n }\n\n float height_scale = ${g};\n float width_scale = ${v};\n\n float in_y = ${y};\n if( in_y < 0.0 || in_y > ${d} ) {\n setOutput(float(${a}));\n return;\n }\n float in_x = ${w};\n if( in_x < 0.0 || in_x > ${p} ) {\n setOutput(float(${a}));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if(${f} == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n `}}const eM={kernelName:At,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{image:a,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=r,c=new QO(a.shape,s.shape,o,l,u);return n.runWebGLProgram(c,[a,s,i],"float32")}};class tM{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;const r=e.length,a=t?"0.0":`getX(${nM(r,"coords")})`,s=e[e.length-1];let i="",o="";t?(i=n?"end != "+(s-1):"end != 0",o=n?"end + 1":"end - 1"):(i=n?`end + pow2 < ${s}`:"end >= pow2",o=n?"end + pow2":"end - pow2"),this.userCode=`\n uniform float index;\n void main() {\n ${LT(r)} coords = getOutputCoords();\n int end = ${rM(r,"coords")};\n float val = ${a};\n int pow2 = int(pow(2.0, index));\n if (${i}) {\n int idx = ${o};\n ${rM(r,"coords")} = idx;\n val += getX(${nM(r,"coords")});\n }\n setOutput(val);\n }\n `}getCustomSetupFunc(e){return(t,n)=>{null==this.index&&(this.index=t.getUniformLocation(n,"index")),t.gl.uniform1f(this.index,e)}}}function nM(e,t){if(1===e)return`${t}`;if(2===e)return`${t}.x, ${t}.y`;if(3===e)return`${t}.x, ${t}.y, ${t}.z`;if(4===e)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw Error(`Cumulative sum for rank ${e} is not yet supported`)}function rM(e,t){if(1===e)return`${t}`;if(2===e)return`${t}.y`;if(3===e)return`${t}.z`;if(4===e)return`${t}.w`;throw Error(`Cumulative sum for rank ${e} is not yet supported`)}const aM={kernelName:It,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,exclusive:i,reverse:o}=r,l=a.shape.length,u=qu([s],l);let c=a;null!=u&&(c=fR({inputs:{x:a},backend:n,attrs:{perm:u}}));const h=Ju(1,l)[0];if(h!==l-1)throw new Error(`WebGL cumsum shader expects an inner-most axis=${a.shape.length-1} but got axis=${s}`);const f=c.shape[h];let d=PF({inputs:{x:c},backend:n});for(let e=0;e<=Math.ceil(Math.log2(f))-1;e++){const t=new tM(c.shape,!1,o),r=t.getCustomSetupFunc(e),a=d;d=n.runWebGLProgram(t,[d],d.dtype,r),n.disposeIntermediateTensorInfo(a)}if(i){const e=new tM(c.shape,i,o),t=d;d=n.runWebGLProgram(e,[d],d.dtype),n.disposeIntermediateTensorInfo(t)}if(null!=u){const e=fR({inputs:{x:d},backend:n,attrs:{perm:Yu(u)}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),e}return d}},sM={kernelName:Dt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,weights:s}=t,{size:i,binaryOutput:o}=r;if(1===a.shape.length){const e=n.readSync(a.dataId),t=n.readSync(s.dataId),r=jT(e,t,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,r)}if(2===a.shape.length){const e=n.bufferSync(a),t=n.bufferSync(s),r=HT(e,t,i,o);return n.makeTensorInfo(r.shape,s.dtype,r.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${a.shape.length}.`)}};class iM{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = ${this.getHeightCoordString()};\n int w = ${this.getWidthCoordString()};\n int d = ${this.getDepthCoordString()};\n\n int in_h = h / ${t};\n int offset_h = imod(h, ${t});\n int in_w = w / ${t};\n int offset_w = imod(w, ${t});\n int offset_d = (offset_h * ${t} + offset_w) *\n ${this.getOutputDepthSize()};\n int in_d = d + offset_d;\n\n float result = ${this.getInputSamplingString()};\n setOutput(result);\n }\n `}getHeightCoordString(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"}getWidthCoordString(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"}getDepthCoordString(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"}getOutputDepthSize(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}const oM={kernelName:Tt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockSize:s,dataFormat:i}=r;Q(s>1,(()=>`blockSize should be > 1 for depthToSpace, but was: ${s}`));const o=a.shape[0],l="NHWC"===i?a.shape[1]:a.shape[2],u="NHWC"===i?a.shape[2]:a.shape[3],c="NHWC"===i?a.shape[3]:a.shape[1],h=l*s,f=u*s,d=c/(s*s),p=new iM("NHWC"===i?[o,h,f,d]:[o,d,h,f],s,i);return n.runWebGLProgram(p,[a],a.dtype)}};class lM{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;const s=e.inHeight,i=e.inWidth,o=e.padInfo.top,l=e.padInfo.left,u=e.strideHeight,c=e.strideWidth,h=e.dilationHeight,f=e.dilationWidth,d=e.filterHeight,p=e.filterWidth,m=e.outChannels/e.inChannels;let g="",y="";n&&(g=r?`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:a?`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:`\n float activation(float x) {\n ${n}\n }\n `,y="result = activation(result);");const b=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode=`\n ${g}\n\n const ivec2 strides = ivec2(${u}, ${c});\n const ivec2 pads = ivec2(${o}, ${l});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ${m};\n int q = d2 - d1 * ${m};\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < ${d}; wR++) {\n int xR = xRCorner + wR * ${h};\n\n if (xR < 0 || xR >= ${s}) {\n continue;\n }\n\n for (int wC = 0; wC < ${p}; wC++) {\n int xC = xCCorner + wC * ${f};\n\n if (xC < 0 || xC >= ${i}) {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n\n float result = dotProd;\n ${b}\n ${y}\n setOutput(result);\n }\n `}}class uM{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;const s=e.outChannels/e.inChannels,i=e.inHeight,o=e.inWidth,l=e.padInfo.top,u=e.padInfo.left,c=e.strideHeight,h=e.strideWidth,f=e.dilationHeight,d=e.dilationWidth,p=e.filterHeight,m=e.filterWidth,g=m;let y="\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;";for(let e=0;e=0 && xR < ${i}) {\n `;for(let t=0;t<(g+1)/2;t++){const n=2*t,r=n*d;if(y+=`\n xC = xCCorner + ${r};\n `,1===h){if(n= 0 && xCOffset < ${o} && xTexelC${r}Ready == 0) {\n xTexelC${r} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= ${o}) {\n xTexelC${r}.zw = vec2(0.0);\n }\n xTexelC${r}Ready = 1;\n }\n `,y+=1===d&&r>0?`\n xC${n} = vec4(xTexelC${r-2}.zw, xTexelC${r}.xy);\n `:`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < ${o}) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= ${o}) {\n previous.zw = vec2(0.0);\n }\n\n xC${n} = vec4(previous.zw, xTexelC${r}.xy);\n } else {\n xC${n} = vec4(0.0, 0.0, xTexelC${r}.xy);\n }\n `):y+=`\n if (xC >= 0 && xC < ${o} && xTexelC${r}Ready == 0) {\n xTexelC${r} = getX(batch, xR, xC, d1);\n if (xC + 1 >= ${o}) {\n xTexelC${r}.zw = vec2(0.0);\n }\n xTexelC${r}Ready = 1;\n }\n\n xC${n} = xTexelC${r};\n `,r+1= 0 && xCOffset < ${o} && xTexelC${r+2}Ready == 0) {\n xTexelC${r+2} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= ${o}) {\n xTexelC${r+2}.zw = vec2(0.0);\n }\n xTexelC${r+2}Ready = 1;\n }\n `,d>1&&(y+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < ${o} && xTexelC${r}Ready == 0) {\n xTexelC${r} = getX(batch, xR, xCOffset, d1);\n xTexelC${r}Ready = 1;\n }\n `),y+=`\n xC${n+1} = vec4(xTexelC${r}.zw, xTexelC${r+2}.xy);\n `):y+=1===e?`\n xC${n+1} = xTexelC${r};\n `:`\n xCOffset = xC + ${e};\n\n if (xCOffset >= 0 && xCOffset < ${o} && xTexelC${r+2}Ready == 0) {\n xTexelC${r+2} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= ${o}) {\n xTexelC${r+2}.zw = vec2(0.0);\n }\n xTexelC${r+2}Ready = 1;\n }\n\n xC${n+1} = xTexelC${r+2};\n `}}else r= 0 && xCOffset < ${o} && xTexelC${r}Ready == 0) {\n xTexelC${r} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= ${o}) {\n xTexelC${r}.zw = vec2(0.0);\n }\n xTexelC${r}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < ${o} && xTexelC${r+2}Ready == 0) {\n xTexelC${r+2} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= ${o}) {\n xTexelC${r+2}.zw = vec2(0.0);\n }\n xTexelC${r+2}Ready = 1;\n }\n\n xC${n} = vec4(xTexelC${r}.zw, xTexelC${r+2}.zw);\n `,r+1= 0 && xCOffset < ${o}) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${n+1} = vec4(xTexelC${r+2}.xy, final.xy);\n `)):(y+=`\n if(xC >= 0 && xC < ${o} && xTexelC${r}Ready == 0) {\n xTexelC${r} = getX(batch, xR, xC, d1);\n if (xC + 1 >= ${o}) {\n xTexelC${r}.zw = vec2(0.0);\n }\n xTexelC${r}Ready = 1;\n }\n\n xCOffset = xC + ${h};\n if(xCOffset >= 0 && xCOffset < ${o} && xTexelC${r+2}Ready == 0) {\n xTexelC${r+2} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= ${o}) {\n xTexelC${r+2}.zw = vec2(0.);\n }\n xTexelC${r+2}Ready = 1;\n }\n\n xC${n} = vec4(\n xTexelC${r}.xy, xTexelC${r+2}.xy);\n `,r+1`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`));const h=vl(a.shape,s.shape,i,c,o,u,!0);let f;return f=We().getBool("WEBGL_PACK_DEPTHWISECONV")&&h.strideWidth<=2&&h.outChannels/h.inChannels==1?new uM(h):new lM(h),n.runWebGLProgram(f,[a,s],"float32")}};class hM{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;const t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * ${s} + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${t} - ${r};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${a};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class fM{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;const t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=`\n const ivec2 pads = ivec2(${s}, ${i});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < ${t}; wR++) {\n float dyR = float(dyRCorner + wR) / ${r}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${t} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm < ${o}; dm++) {\n int d2 = d1 * ${o} + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n `}}const dM={kernelName:Rt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:c}=r,h=vl(a.shape,c,i,o,l,u,!0),f=new hM(h);return n.runWebGLProgram(f,[a,s],"float32")}},pM={kernelName:Ot,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:c}=r,h=vl(c,s.shape,i,o,l,u,!0),f=new fM(h);return n.runWebGLProgram(f,[a,s],"float32")}};class mM{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode="\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n "}}const gM={kernelName:Mt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{x:r}=t,a=[...r.shape,...r.shape],s=re(r.shape),i=nR({inputs:{x:r},backend:n,attrs:{shape:[s]}}),o=new mM(s),l=n.runWebGLProgram(o,[i],i.dtype),u=nR({inputs:{x:l},backend:n,attrs:{shape:a}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}};class yM{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;const{inHeight:t,inWidth:n,padInfo:r,strideHeight:a,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:u}=e,{top:c,left:h}=r;this.userCode=`\n const ivec2 strides = ivec2(${a}, ${s});\n const ivec2 pads = ivec2(${c}, ${h});\n const float neg_infinity = -3.4e38;\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.w;\n ivec2 outTopLeftCorner =\n coords.yz * strides - pads;\n int hBeg = outTopLeftCorner.x;\n int wBeg = outTopLeftCorner.y;\n\n float curVal = neg_infinity;\n for (int h = 0; h < ${i}; h++) {\n int hIn = hBeg + h * ${l};\n\n if (hIn >= 0 && hIn < ${t}) {\n for (int w = 0; w < ${o}; w++) {\n int wIn = wBeg + w * ${u};\n\n if (wIn >= 0 && wIn < ${n}) {\n float xVal = getX(batch, hIn, wIn, d1);\n float wVal = getW(h, w, d1);\n\n float val = xVal + wVal;\n if (val > curVal) {\n curVal = val;\n }\n }\n }\n }\n }\n\n float result = curVal;\n setOutput(result);\n }\n `}}const bM={kernelName:Bt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dilations:l}=r,u=gl(a.shape,s.shape,i,o,"NHWC",l);let c;const h=new yM(u);c=n.runWebGLProgram(h,[a,s],"float32");const f=nR({inputs:{x:c},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(c),f}},vM={kernelName:zt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{equation:a}=r,s=t,{allDims:i,summedDims:o,idDims:l}=kd(a,s.length);Cd(i.length,l,s);const{path:u,steps:c}=Sd(o,l),h=c.length;let f=null,d=i.length;const p=[];for(let e=0;e=0&&(f=cR({inputs:{x:f},backend:n,attrs:{axis:u[e]-(i.length-d),keepDims:!1}}),p.push(f)),d--)}for(const e of p)e!==f&&n.disposeIntermediateTensorInfo(e);return f}},wM=KF({opSnippet:"return (x >= 0.0) ? x : (exp(x) - 1.0);",packedOpSnippet:"\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n"}),_M={kernelName:Wt,backendName:"webgl",kernelFunc:wM},xM={kernelName:Ut,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n}=e,{dy:r,y:a}=t,s=We().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new $F("\n vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",r.shape,a.shape):new BF("return (b >= 1.0) ? a : a * (b + 1.0);",r.shape,a.shape);return n.runWebGLProgram(s,[r,a],r.dtype)}},kM=qF({opSnippet:"return float(a == b);",packedOpSnippet:"\n return vec4(equal(a, b));\n",dtype:"bool"}),EM={kernelName:jt,backendName:"webgl",kernelFunc:kM},CM=KF({opSnippet:`\n // Error function is calculated approximately with elementary function.\n // See "Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n float p = ${id};\n float a1 = ${od};\n float a2 = ${ld};\n float a3 = ${ud};\n float a4 = ${cd};\n float a5 = ${hd};\n\n float sign = sign(x);\n x = abs(x);\n float t = 1.0 / (1.0 + p * x);\n return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`}),SM={kernelName:Vt,backendName:"webgl",kernelFunc:CM},NM="return exp(x);",IM=KF({opSnippet:NM,packedOpSnippet:NM,cpuKernelImpl:KT}),AM={kernelName:Ht,backendName:"webgl",kernelFunc:IM};function DM(e){const{inputs:t,attrs:n,backend:r}=e,{dim:a}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice();let l=a;return a<0&&(Q(-(i+1)<=a,(()=>`Axis must be in the interval [${-(i+1)}, ${i}]`)),l=i+a+1),o.splice(l,0,1),nR({inputs:{x:s},backend:r,attrs:{shape:o}})}const TM={kernelName:Gt,backendName:"webgl",kernelFunc:DM},FM="return exp(x) - 1.0;",RM=KF({opSnippet:FM,packedOpSnippet:FM,cpuKernelImpl:qT}),OM={kernelName:Xt,backendName:"webgl",kernelFunc:RM};class MM{constructor(e,t,n){this.variableNames=["real","imag"];const r=t[1];this.outputShape=t;const a=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=n?`${r}.0`:"1.0";let i;if("real"===e)i="return real * expR - imag * expI;";else{if("imag"!==e)throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);i="return real * expI + imag * expR;"}this.userCode=`\n const float exponentMultiplier = ${a};\n\n float unaryOpComplex(float real, float expR, float imag, float expI) {\n ${i}\n }\n\n float mulMatDFT(int batch, int index) {\n float indexRatio = float(index) / float(${r});\n float exponentMultiplierTimesIndexRatio =\n exponentMultiplier * indexRatio;\n\n float result = 0.0;\n\n for (int i = 0; i < ${r}; i++) {\n // x = (-2|2 * PI / N) * index * i;\n float x = exponentMultiplierTimesIndexRatio * float(i);\n float expR = cos(x);\n float expI = sin(x);\n float real = getReal(batch, i);\n float imag = getImag(batch, i);\n\n result +=\n unaryOpComplex(real, expR, imag, expI) / ${s};\n }\n\n return result;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n setOutput(mulMatDFT(coords[0], coords[1]));\n }\n `}}function BM(e,t,n){const r=n.texData.get(e.dataId),a=re(e.shape),s=e.shape[e.shape.length-1],i=nR({inputs:{x:e},backend:n,attrs:{shape:[a/s,s]}}),o=i.shape,l=new MM("real",o,t),u=new MM("imag",o,t),c=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:o},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:o}],h=n.runWebGLProgram(l,c,"float32"),f=n.runWebGLProgram(u,c,"float32"),d=zF({inputs:{real:h,imag:f},backend:n});n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f);const p=nR({inputs:{x:d},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(d),p}const $M={kernelName:Kt,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{input:r}=t;return BM(r,!1,n)}};class PM{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode="\n uniform float value;\n void main() {\n // Input can be obtained from uniform value.\n setOutput(value);\n }\n "}getCustomSetupFunc(e){return(t,n)=>{null==this.valueLoc&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}}function LM(e){const{backend:t,attrs:n}=e,{shape:r,value:a}=n;let{dtype:s}=n;if(s=s||Se(a),"string"===s){const e=ge(s,re(r));return e.fill(a),t.makeTensorInfo(r,s,e)}{const e=new PM(r,a),n=e.getCustomSetupFunc(a);return t.runWebGLProgram(e,[],s,n)}}const zM={kernelName:qt,backendName:"webgl",kernelFunc:LM};class WM{constructor(e){this.variableNames=["Image"],this.outputShape=[];const t=e[2];this.outputShape=e,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n\n int coordX = ${t} - x;\n float outputValue;\n if(coordX >= 0 && coordX < ${t}) {\n outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n } else {\n outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n }\n setOutput(outputValue);\n }\n `}}const UM={kernelName:Yt,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{const{image:n}=e,r=t,a=new WM(n.shape);return r.runWebGLProgram(a,[n],n.dtype)}},VM="return floor(x);",jM=KF({opSnippet:VM,packedOpSnippet:VM,cpuKernelImpl:YT}),HM={kernelName:Jt,backendName:"webgl",kernelFunc:jM},GM=qF({opSnippet:"\n float s = sign(a) * sign(b);\n int ia = round(a);\n int ib = round(b);\n if (ib != 0) {\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n return float(idiv(ia, ib, s));\n } else {\n return NAN;\n }\n",packedOpSnippet:"\n ivec4 ia = round(a);\n ivec4 ib = round(b);\n bvec4 cond = notEqual(ib, ivec4(0));\n ivec4 result = ivec4(0);\n vec4 s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n result[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n result[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n result[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n result[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(result);\n",dtype:"int32"}),XM={kernelName:Zt,backendName:"webgl",kernelFunc:GM};class KM{constructor(e){this.variableNames=["A"];const t=fT(),[n,r]=e;this.outputShape=e,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${r}.0, ${n}.0);\n\n vec4 values = ${t.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n setOutput(floor(value * 255.0 + 0.5));\n }\n `}}class qM{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;const t=fT(),[n,r]=e;this.outputShape=e,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n\n vec4 result = vec4(0.);\n\n for(int row=0; row<=1; row++) {\n for(int col=0; col<=1; col++) {\n texC = coords[1] + row;\n depth = coords[2] + col;\n\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(${r}.0, ${n}.0);\n vec4 values = ${t.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n result[row * 2 + col] = floor(value * 255.0 + 0.5);\n }\n }\n\n ${t.output} = result;\n }\n `}}const YM={kernelName:Wr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e;let{pixels:a}=t;const{numChannels:s}=r,i="undefined"!=typeof HTMLVideoElement&&a instanceof HTMLVideoElement,o="undefined"!=typeof HTMLImageElement&&a instanceof HTMLImageElement,[l,u]=i?[a.videoWidth,a.videoHeight]:[a.width,a.height],c=[u,l],h=[u,l,s];(o||i)&&(null==JM&&(JM=document.createElement("canvas").getContext("2d")),JM.canvas.width=l,JM.canvas.height=u,JM.drawImage(a,0,0,l,u),a=JM.canvas);const f=n.makeTensorInfo(c,"int32");n.texData.get(f.dataId).usage=$D.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(f.dataId),a);const d=We().getBool("WEBGL_PACK")?new qM(h):new KM(h),p=n.runWebGLProgram(d,[f],"int32");return n.disposeData(f.dataId),p}};let JM;const ZM={kernelName:jr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:c,dilations:h,dimRoundingMode:f,activation:d,leakyreluAlpha:p}=r,m=Il(c),g=vl(a.shape,s.shape,l,h,u,f,!1,m);let y;const b=[];if(1!==g.filterHeight||1!==g.filterWidth||1!==g.dilationHeight||1!==g.dilationWidth||1!==g.strideHeight||1!==g.strideWidth||"SAME"!==g.padInfo.type&&"VALID"!==g.padInfo.type)if(We().getBool("WEBGL_CONV_IM2COL")&&1===a.shape[0])y=PO({x:a,filter:s,convInfo:g,backend:n,bias:i,activation:d,preluActivationWeights:o,leakyreluAlpha:p});else{const e=null!=i,t=null!=o,r="leakyrelu"===d,l=d?YF(d,!1):null,u=new OO(g,e,l,t,r),c=[a,s];if(i&&c.push(i),o&&c.push(o),r){const e=n.makeTensorInfo([],"float32",ra(p,"float32"));c.push(e),b.push(e)}y=n.runWebGLProgram(u,c,"float32")}else y=$O({x:a,filter:s,convInfo:g,backend:n,bias:i,activation:d,preluActivationWeights:o,leakyreluAlpha:p});const v=nR({inputs:{x:y},backend:n,attrs:{shape:g.outShape}});return b.push(y),b.forEach((e=>n.disposeIntermediateTensorInfo(e))),v}},QM={kernelName:Hr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:c,dimRoundingMode:h,activation:f,leakyreluAlpha:d}=r,p=[];let m=c;null==m&&(m=[1,1]),Q(Nl(l,m),(()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${m}'`));const g=vl(a.shape,s.shape,l,m,u,h,!0),y=We().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,b=f?YF(f,y):null,v=[a,s],w=null!=i,_=null!=o,x="leakyrelu"===f;if(w&&v.push(i),_&&v.push(o),x){const e=n.makeTensorInfo([],"float32",ra(d,"float32"));v.push(e),p.push(e)}let k;k=y?new uM(g,w,b,_,x):new lM(g,w,b,_,x);const E=n.runWebGLProgram(k,v,"float32");return p.forEach((e=>n.disposeIntermediateTensorInfo(e))),E}};class eB{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;const r=LT(t.length),a=LT(n.length),s=this.sliceDim>1?"strides[j]":"strides";this.userCode=`\n ${r} strides = ${r}(${this.strides});\n void main() {\n ${a} coords = getOutputCoords();\n int flattenIndex = 0;\n for (int j = 0; j < ${this.sliceDim}; j++) {\n int index = round(getIndices(coords[0], j));\n flattenIndex += index * ${s};\n }\n setOutput(getX(flattenIndex, coords[1]));\n }\n `}}const tB={kernelName:tn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{params:r,indices:a}=t,s=a.shape,i=s[s.length-1],[o,l,u,c]=Ei(r,a),h=nR({inputs:{x:a},backend:n,attrs:{shape:[l,i]}}),f=nR({inputs:{x:r},backend:n,attrs:{shape:[re(r.shape)/u,u]}}),d=new eB(i,c,[l,u]),p=n.runWebGLProgram(d,[f,h],f.dtype),m=nR({inputs:{x:p},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(p),m}};class nB{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;const n=LT(this.rank),r=function(e,t){const n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[];for(let t=0;tn.disposeIntermediateTensorInfo(e))),n.makeTensorInfo(l.outputShape,r.dtype,r.values)}const p=new nB(h.shape,d),m=n.runWebGLProgram(p,[h,f],h.dtype);c.push(m);const g=nR({inputs:{x:m},backend:n,attrs:{shape:l.outputShape}});return c.forEach((e=>n.disposeIntermediateTensorInfo(e))),g}},aB=qF({opSnippet:"return float(a > b);",packedOpSnippet:"\n return vec4(greaterThan(a, b));\n",cpuKernelImpl:ZT,dtype:"bool"}),sB={kernelName:nn,backendName:"webgl",kernelFunc:aB},iB=qF({opSnippet:"return float(a >= b);",packedOpSnippet:"\n return vec4(greaterThanEqual(a, b));\n",dtype:"bool"}),oB={kernelName:rn,backendName:"webgl",kernelFunc:iB},lB={kernelName:sn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{input:r}=t;return BM(r,!0,n)}},uB=KF({opSnippet:"return float(!isnan(x) && !isinf(x));",dtype:"bool"}),cB={kernelName:ln,backendName:"webgl",kernelFunc:uB},hB=KF({opSnippet:"return float(isinf(x));",dtype:"bool"}),fB={kernelName:un,backendName:"webgl",kernelFunc:hB},dB=KF({opSnippet:"return float(isnan(x));",dtype:"bool"}),pB={kernelName:cn,backendName:"webgl",kernelFunc:dB},mB=qF({opSnippet:"return float(a < b);",packedOpSnippet:"\n return vec4(lessThan(a, b));\n",cpuKernelImpl:QT,dtype:"bool"}),gB={kernelName:fn,backendName:"webgl",kernelFunc:mB},yB=qF({opSnippet:"return float(a <= b);",packedOpSnippet:"\n return vec4(lessThanEqual(a, b));\n",dtype:"bool"}),bB={kernelName:dn,backendName:"webgl",kernelFunc:yB},vB={kernelName:pn,backendName:"webgl",kernelFunc:function(e){const{backend:t,attrs:n}=e,{start:r,stop:a,num:s}=n,i=eF(r,a,s);return t.makeTensorInfo([i.length],"float32",i)}},wB=KF({opSnippet:"if (x < 0.0) return NAN;\n return log(x);",packedOpSnippet:"\n vec4 result = log(x);\n vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n result.r = isNaN.r == 1.0 ? NAN : result.r;\n result.g = isNaN.g == 1.0 ? NAN : result.g;\n result.b = isNaN.b == 1.0 ? NAN : result.b;\n result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n return result;\n",cpuKernelImpl:tF}),_B={kernelName:mn,backendName:"webgl",kernelFunc:wB},xB=KF({opSnippet:"return log(1.0 + x);"}),kB={kernelName:gn,backendName:"webgl",kernelFunc:xB},EB=qF({opSnippet:"return float(a >= 1.0 && b >= 1.0);",packedOpSnippet:"\n return vec4(\n vec4(greaterThanEqual(a, vec4(1.0))) *\n vec4(greaterThanEqual(b, vec4(1.0))));\n",dtype:"bool"}),CB={kernelName:yn,backendName:"webgl",kernelFunc:EB},SB=KF({opSnippet:"return float(!(x >= 1.0));"}),NB={kernelName:bn,backendName:"webgl",kernelFunc:SB},IB=qF({opSnippet:"return float(a >= 1.0 || b >= 1.0);",packedOpSnippet:"\n return min(\n vec4(greaterThanEqual(a, vec4(1.0))) +\n vec4(greaterThanEqual(b, vec4(1.0))),\n vec4(1.0));\n",dtype:"bool"}),AB={kernelName:vn,backendName:"webgl",kernelFunc:IB};class DB{constructor(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];const s=t,i=e[3]-1;let o;this.outputShape=e;const l=`float(${n}) + float(${r}) * sum`;o=.5===a?`inversesqrt(${l})`:1===a?`1.0/(${l})`:`exp(log(${l}) * float(-${a}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -${s}; j <= ${s}; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= ${i}) {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * ${o};\n setOutput(val);\n }\n `}}class TB{constructor(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;const s=t,i=e[3]-1;let o;this.outputShape=e;const l=`float(${n}) + float(${r}) * sum`;o=.5===a?`inversesqrt(${l})`:1===a?`1.0/(${l})`:`exp(log(${l}) * float(-${a}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords.x;\n int r = coords.y;\n int c = coords.z;\n int d = coords.w;\n\n bool hasNextCol = d < ${this.outputShape[3]};\n bool hasNextRow = c < ${this.outputShape[2]};\n\n vec4 sum = vec4(0.);\n vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n vec4 xAtOutputCoords = vec4(\n getChannel(xFragAtOutputCoords, vec2(c, d)),\n hasNextCol ?\n getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n hasNextRow ?\n getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n (hasNextRow && hasNextCol) ?\n getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n );\n\n int firstChannel = d - ${s};\n vec2 cache = vec2(0.);\n if(firstChannel >= 0){\n vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n if(hasNextRow){\n cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n }\n }\n\n ivec2 depth = ivec2(d, d + 1);\n for (int j = - ${s}; j <= ${s}; j++) {\n ivec2 idx = depth + j;\n bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${i}));\n\n bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n if(depthInRange || depthPlusOneInRange){\n vec4 z = vec4(0.);\n vec4 xFragAtCurrentDepth;\n z.xz = cache.xy;\n if(depthPlusOneInRange && hasNextCol){\n xFragAtCurrentDepth = idx.y != d ?\n getX(b, r, c, idx.y) : xFragAtOutputCoords;\n z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n if(hasNextRow){\n z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n }\n }\n cache.xy = z.yw;\n sum += z * z;\n }\n }\n vec4 result = xAtOutputCoords * ${o};\n setOutput(result);\n }\n `}}const FB={kernelName:_n,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=r,u=We().getBool("WEBGL_PACK_NORMALIZATION")?new TB(a.shape,s,i,o,l):new DB(a.shape,s,i,o,l);return n.runWebGLProgram(u,[a],a.dtype)}};class RB{constructor(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n\n float result = 0.0;\n for (int d = 0; d < ${this.depth}; ++d) {\n int depthBegin = int(max(0.0, float(d - ${t})));\n int depthEnd = int(min(float(${this.depth}),\n float(d + ${t} + 1)));\n\n const int MIN_DEPTH_BEGIN = 0;\n const int MAX_DEPTH_END = ${this.depth};\n\n float norm = 0.0;\n for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd) {\n norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n }\n else {\n break;\n }\n }\n\n norm = float(${r}) * norm + float(${n});\n\n for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd){\n float dyi = -2.0 * float(${r})\n * float(${a})\n * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n / norm;\n if (k == d) {\n dyi += pow(norm, -1.0 * ${a});\n }\n if (k == coords[3]) {\n dyi *= getDy(b, r, c, d);\n result += dyi;\n }\n }\n else {\n break;\n }\n }\n }\n setOutput(result);\n }\n `}}const OB={kernelName:xn,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{x:a,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:c}=r,h=new RB(a.shape,o,l,u,c);return n.runWebGLProgram(h,[a,s,i],a.dtype)}};function MB(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{reductionIndices:s,keepDims:i}=r,o=a.shape.length,l=de(s,a.shape);let u=l;const c=qu(u,o),h=null!=c,f=n.shouldExecuteOnCPU([a]);let d=a;if(h){if(f){const e=n.texData.get(d.dataId).values,t=new Array(o);for(let e=0;e 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n",cpuKernelImpl:rF}),PB={kernelName:En,backendName:"webgl",kernelFunc:$B},LB={kernelName:Cn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t;cT(a,"maxPool");const{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=r;Q(Nl(i,1),(()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '1'`));const u=yl(a.shape,s,i,1,o,l);if(1===u.filterWidth&&1===u.filterHeight&&se(u.inShape,u.outShape))return PF({inputs:{x:a},backend:n});const c=new XR(u,"max",!1);return n.runWebGLProgram(c,[a],a.dtype)}},zB={kernelName:Nn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=r,c=bl(a.shape,s,i,[1,1,1],o,u,l),h=new KR(c,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}};class WB{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;const t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,a=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=a-1-e.padInfo.top,o=s-1-e.padInfo.left,l=a*s-1;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${o});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${a};\n wR += ${r}) {\n float dyR = float(dyRCorner + wR) / ${t}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${s}; wC++) {\n float dyC = float(dyCCorner + wC) / ${n}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue = wR * ${s} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n `}}class UB{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;const t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=o-1-e.padInfo.front,h=l-1-e.padInfo.top,f=u-1-e.padInfo.left,d=o*l*u-1;this.userCode=`\n const ivec3 pads = ivec3(${c}, ${h}, ${f});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${o};\n wD += ${a}) {\n float dyD = float(dyDCorner + wD) / ${t}.0;\n\n if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${l};\n wR += ${s}) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${u};\n wC += ${i}) {\n float dyC = float(dyCCorner + wC) / ${r}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n int maxPosValue = ${d} -\n int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue =\n wD * ${l} * ${u} +\n wR * ${u} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n }\n setOutput(dotProd);\n }\n `}}const VB={kernelName:In,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:c}=r,h=bl(i.shape,o,l,[1,1,1],u,c),f=new KR(h,"max",!0),d=n.runWebGLProgram(f,[i],i.dtype),p=new UB(h),m=n.runWebGLProgram(p,[a,d],i.dtype);return n.disposeIntermediateTensorInfo(d),m}},jB={kernelName:Sn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s,output:i}=t,o=s;cT([s,i],"maxPoolGrad");const{filterSize:l,strides:u,pad:c,dimRoundingMode:h}=r,f=yl(o.shape,l,u,1,c,h),d=new XR(f,"max",!0),p=n.runWebGLProgram(d,[o],o.dtype),m=new WB(f),g=n.runWebGLProgram(m,[a,p],o.dtype);return n.disposeIntermediateTensorInfo(p),g}},HB={kernelName:An,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{const{x:r}=e,{filterSize:a,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;Q(4===r.shape.length,(()=>`Error in maxPool: input must be rank 4 but got rank ${r.shape.length}.`));const u=[1,1];Q(Nl(s,u),(()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`));const c=yl(r.shape,a,s,u,i),[h,f]=function(e,t,n,r){let a=new XR(n,"max",!1);const s=r.runWebGLProgram(a,[e],"float32");return a=new XR(n,"max",!0,!0,t),[s,r.runWebGLProgram(a,[e],"float32")]}(r,o,c,l);return[h,f]}},GB={kernelName:Dn,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{const{x:r}=e,{keepDims:a,axis:s}=t,i=n,o=r.shape.length,l=de(s,r.shape);let u=l;const c=qu(u,o),h=null!=c,f=i.shouldExecuteOnCPU([r]),d=[];let p=r;if(h){if(f){const e=i.texData.get(p.dataId).values,t=new Array(o);for(let e=0;e 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n",cpuKernelImpl:aF}),qB={kernelName:Fn,backendName:"webgl",kernelFunc:KB};class YB{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map(((t,n)=>t[0]+e[n]+t[1]));const r=e.length,a=LT(r),s=t.map((e=>e[0])).join(","),i=t.map(((t,n)=>t[0]+e[n])).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r),l="reflect"===n?0:1;this.userCode=1!==r?`\n ${a} start = ${a}(${s});\n ${a} end = ${a}(${i});\n\n void main() {\n ${a} outC = getOutputCoords();\n for (int i = 0; i < ${r}; i++) {\n if (outC[i] < start[i]) {\n outC[i] = start[i] * 2 - outC[i] - ${l};\n } else if(outC[i] >= end[i]) {\n outC[i] = (end[i] - 1) * 2 - outC[i] + ${l};\n }\n }\n ${a} coords = outC - start;\n setOutput(getX(${o}));\n }\n `:`\n int start = ${s};\n int end = ${i};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start) {\n outC = start * 2 - outC - ${l};\n } else if(outC >= end) {\n outC = (end - 1) * 2 - outC + ${l};\n }\n setOutput(getX(outC - start));\n }\n `}}class JB{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map(((t,n)=>t[0]+e[n]+t[1]));const r=e.length,a=LT(r),s=t.map((e=>e[0])).join(","),i=t.map(((t,n)=>t[0]+e[n])).join(","),o=_F("rc",r),l=_F("source",r),u=`${o[r-1]} < ${this.outputShape[r-1]}`,c=1===r?"source":`vec2(${l.slice(-2).join()})`,h="reflect"===n?0:1;let f="";if(1===r){const e=`\n ${a} source = rc;\n if (source < start) {\n source = start * 2 - source - ${h};\n } else if (source >= end) {\n source = (end - 1) * 2 - source + ${h};\n }\n source -= start;\n `;f=`\n ${a} rc = outputLoc;\n ${e}\n result[0] = getChannel(getX(${l.join()}), ${c});\n ${o[r-1]} += 1;\n if(${u}) {\n ${e}\n result[1] = getChannel(getX(${l.join()}), ${c});\n }\n `}else{const e=`\n ${a} source = rc;\n ${a} lt = ${a}(lessThan(source, start));\n ${a} gte = ${a}(greaterThanEqual(source, end));\n ${a} orig = 1 - (lt + gte);\n source = orig * source +\n lt * (start * 2 - source - ${h}) +\n gte * ((end - 1) * 2 - source + ${h});\n source -= start;\n `;f=`\n ${a} rc = outputLoc;\n ${e}\n result[0] = getChannel(getX(${l.join()}), ${c});\n ${o[r-1]} += 1;\n if(${u}) {\n ${e}\n result[1] = getChannel(getX(${l.join()}), ${c});\n }\n rc = outputLoc;\n ${o[r-2]} += 1;\n if(${o[r-2]} < ${this.outputShape[r-2]}) {\n ${e}\n result[2] = getChannel(getX(${l.join()}), ${c});\n ${o[r-1]} += 1;\n if(${u}) {\n ${e}\n result[3] = getChannel(getX(${l.join()}), ${c});\n }\n }\n `}this.userCode=`\n const ${a} start = ${a}(${s});\n const ${a} end = ${a}(${i});\n\n void main() {\n ${a} outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n ${f}\n setOutput(result);\n }\n `}}const ZB={kernelName:Rn,backendName:"webgl",kernelFunc:({inputs:e,backend:t,attrs:n})=>{const{x:r}=e,{paddings:a,mode:s}=n,i=We().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new JB(r.shape,a,s):new YB(r.shape,a,s);return t.runWebGLProgram(i,[r],r.dtype)}},QB=qF({opSnippet:"if (b == 0.0) return NAN;\n return mod(a, b);",packedOpSnippet:"\n vec4 result = mod(a, b);\n vec4 isNaN = vec4(equal(b, vec4(0.0)));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n"}),e$={kernelName:On,backendName:"webgl",kernelFunc:QB};class t${constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode=`\n uniform float seed;\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n\n float r = random(seed);\n float cdf = 0.0;\n\n for (int i = 0; i < ${t-1}; i++) {\n cdf += getProbs(batch, i);\n\n if (r < cdf) {\n setOutput(float(i));\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutput(float(${t-1}));\n }\n `}getCustomSetupFunc(e){return(t,n)=>{null==this.seedLoc&&(this.seedLoc=t.getUniformLocation(n,"seed")),t.gl.uniform1f(this.seedLoc,e)}}}const n$=qF({opSnippet:"\nif (a == b) {\n return 1.0;\n};\nreturn a / b;",packedOpSnippet:"\n // vec4 one = vec4(equal(a, b));\n // return one + (vec4(1.0) - one) * a / b;\n vec4 result = a / b;\n if(a.x == b.x) {\n result.x = 1.;\n }\n if(a.y == b.y) {\n result.y = 1.;\n }\n if(a.z == b.z) {\n result.z = 1.;\n }\n if(a.w == b.w) {\n result.w = 1.;\n }\n\n return result;\n",checkOutOfBounds:!0}),r$={kernelName:Lt,backendName:"webgl",kernelFunc:n$},a$="return a - b;",s$=qF({opSnippet:a$,packedOpSnippet:a$,supportsComplex:!0,cpuKernelImpl:mF}),i$={kernelName:Ar,backendName:"webgl",kernelFunc:s$};function o$(e){const{inputs:t,backend:n,attrs:r}=e,{logits:a}=t,{dim:s}=r,i=de([s],a.shape),o=MB({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=Xu(o.shape,i),u=nR({inputs:{x:o},backend:n,attrs:{shape:l}}),c=s$({inputs:{a,b:u},backend:n}),h=IM({inputs:{x:c},backend:n}),f=cR({inputs:{x:h},backend:n,attrs:{axis:i,keepDims:!1}}),d=nR({inputs:{x:f},backend:n,attrs:{shape:l}}),p=n$({inputs:{a:h,b:d},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),p}const l$={kernelName:xr,backendName:"webgl",kernelFunc:o$},u$={kernelName:Mn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{logits:a}=t,{numSamples:s,seed:i,normalized:o}=r,l=o?a:o$({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),u=l.shape[0],c=l.shape[1],h=new t$(u,c,s),f=h.getCustomSetupFunc(i),d=n.runWebGLProgram(h,[l],"int32",f);return o||n.disposeIntermediateTensorInfo(l),d}},c$="return -x;",h$={kernelName:$n,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{x:r}=t;if(n.shouldExecuteOnCPU([r])){const e=n.texData.get(r.dataId),[t,a]=iF(e.values,r.shape,r.dtype);return n.makeTensorInfo(a,r.dtype,t)}let a;return a=We().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new TF(r.shape,c$):new IF(r.shape,c$),n.runWebGLProgram(a,[r],r.dtype)}},f$=uf,d$={kernelName:Ln,backendName:"webgl",kernelFunc:function(e){fd("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=r,u=n.readSync(a.dataId),c=n.readSync(s.dataId),{selectedIndices:h}=f$(u,c,i,o,l);return n.makeTensorInfo([h.length],"int32",new Int32Array(h))}},p$=cf,m$={kernelName:zn,backendName:"webgl",kernelFunc:function(e){fd("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:u}=r,c=n.readSync(a.dataId),h=n.readSync(s.dataId),{selectedIndices:f,validOutputs:d}=p$(c,h,i,o,l,u);return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},g$=hf,y$={kernelName:Wn,backendName:"webgl",kernelFunc:function(e){fd("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=r,c=n.readSync(a.dataId),h=n.readSync(s.dataId),f=i,d=o,p=l,m=u,{selectedIndices:g,selectedScores:y}=g$(c,h,f,d,p,m);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([y.length],"float32",new Float32Array(y))]}};class b${constructor(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float(${r}), float(${n}),\n float(index == coords.y)));\n }\n `}}const v$={kernelName:Vn,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{indices:a}=t,{depth:s,onValue:i,offValue:o}=r,l=re(a.shape),u=new b$(l,s,i,o),c=nR({inputs:{x:a},backend:n,attrs:{shape:[l]}}),h=n.runWebGLProgram(u,[c],a.dtype);n.disposeIntermediateTensorInfo(c);const f=nR({inputs:{x:h},backend:n,attrs:{shape:[...a.shape,s]}});return n.disposeIntermediateTensorInfo(h),f}};function w$(e){const{inputs:t,backend:n}=e,{x:r}=t;if("complex64"===r.dtype){const e=pO({inputs:{input:r},backend:n}),t=w$({inputs:{x:e},backend:n}),a=AO({inputs:{input:r},backend:n}),s=w$({inputs:{x:a},backend:n}),i=zF({inputs:{real:t,imag:s},backend:n});return n.disposeIntermediateTensorInfo(e),n.disposeIntermediateTensorInfo(t),n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(s),i}return LM({attrs:{shape:r.shape,dtype:r.dtype,value:"string"===r.dtype?"":0},backend:n})}const _$={kernelName:Lr,backendName:"webgl",kernelFunc:w$},x$={kernelName:Un,backendName:"webgl",kernelFunc:function e(t){const{inputs:n,backend:r}=t,{x:a}=n;if("string"===a.dtype)throw new Error("onesLike is not supported under string dtype");if("complex64"===a.dtype){const t=pO({inputs:{input:a},backend:r}),n=e({inputs:{x:t},backend:r}),s=AO({inputs:{input:a},backend:r}),i=w$({inputs:{x:s},backend:r}),o=zF({inputs:{real:n,imag:i},backend:r});return r.disposeIntermediateTensorInfo(t),r.disposeIntermediateTensorInfo(n),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(i),o}return LM({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:r})}},k$={kernelName:jn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{axis:a}=r;if(1===t.length)return DM({inputs:{input:t[0]},backend:n,attrs:{dim:a}});const s=t[0].shape,i=t[0].dtype;t.forEach((e=>{ee(s,e.shape,"All tensors passed to stack must have matching shapes"),Q(i===e.dtype,(()=>"All tensors passed to stack must have matching dtypes"))}));const o=[],l=FO({inputs:t.map((e=>{const t=DM({inputs:{input:e},backend:n,attrs:{dim:a}});return o.push(t),t})),backend:n,attrs:{axis:a}});return o.forEach((e=>n.disposeIntermediateTensorInfo(e))),l}};class E${constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map(((t,n)=>t[0]+e[n]+t[1]));const r=e.length,a=LT(r),s=t.map((e=>e[0])).join(","),i=t.map(((t,n)=>t[0]+e[n])).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?`\n ${a} start = ${a}(${s});\n ${a} end = ${a}(${i});\n uniform float value;\n\n void main() {\n ${a} outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(value);\n } else {\n ${a} coords = outC - start;\n setOutput(getX(${o}));\n }\n }\n `:`\n int start = ${s};\n int end = ${i};\n uniform float value;\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(value);\n } else {\n setOutput(getX(outC - start));\n }\n }\n `}getCustomSetupFunc(e){return(t,n)=>{null==this.valueLoc&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}}class C${constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map(((t,n)=>t[0]+e[n]+t[1]));const r=e.length,a=LT(r),s=t.map((e=>e[0])).join(","),i=t.map(((t,n)=>t[0]+e[n])).join(","),o=_F("rc",r),l=_F("source",r),u=`${o[r-1]} < ${this.outputShape[r-1]}`,c=1===r?"source":`vec2(${l.slice(-2).join()})`,h=[`${a} rc = outputLoc;`,`${o[r-1]} += 1;\n if(${u}) {\n `,1===r?"":`}\n rc = outputLoc;\n ${o[r-2]} += 1;\n if(${o[r-2]} < ${this.outputShape[r-2]}) {`,1===r?"":` ${o[r-1]} += 1;\n if(${u}) {`],f=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))";let d="";for(let e=0,t=1===r?2:4;e{null==this.valueLoc&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}}const S$=e=>{const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{paddings:s,constantValue:i}=r,o=We().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new C$(a.shape,s,i):new E$(a.shape,s,i),l=o.getCustomSetupFunc(i);return n.runWebGLProgram(o,[a],a.dtype,l)},N$={kernelName:Hn,backendName:"webgl",kernelFunc:S$},I$=qF({opSnippet:"\n if(a < 0.0 && floor(b) < b){\n return NAN;\n }\n if (b == 0.0) {\n return 1.0;\n }\n return (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",packedOpSnippet:"\n // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n vec4 result = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n bvec4 isExpZero = equal(b, vec4(0.0));\n result.r = isExpZero.r ? 1.0 : result.r;\n result.g = isExpZero.g ? 1.0 : result.g;\n result.b = isExpZero.b ? 1.0 : result.b;\n result.a = isExpZero.a ? 1.0 : result.a;\n\n vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n"}),A$={kernelName:Xn,backendName:"webgl",kernelFunc:I$},D$={kernelName:qn,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=[],u=de(s,a.shape);let c=u;const h=qu(c,o);let f,d=a;if(null!=h&&(d=fR({inputs:{x:a},backend:n,attrs:{perm:h}}),c=Ju(c.length,o),l.push(d)),Ku("prod",c,o),n.shouldExecuteOnCPU([d])){const e=n.texData.get(d.dataId).values,{outVals:t,outShape:r,outDtype:a}=oF(d.shape,d.dtype,e,c);f=n.makeTensorInfo(r,a,t)}else{const[e,t]=Gu(d.shape,c),r=re(t),s=nR({inputs:{x:d},backend:n,attrs:{shape:[-1,r]}}),i=iR(s,Ta(a.dtype),"prod",n);f=nR({inputs:{x:i},backend:n,attrs:{shape:e}}),l.push(s),l.push(i)}if(i){l.push(f);const e=Xu(f.shape,u);f=nR({inputs:{x:f},backend:n,attrs:{shape:e}})}return l.forEach((e=>n.disposeIntermediateTensorInfo(e))),f}},T$=e=>{const{backend:t,attrs:n}=e,{start:r,stop:a,step:s,dtype:i}=n,o=lF(r,a,s,i);return t.makeTensorInfo([o.length],i,o)},F$={kernelName:Yn,backendName:"webgl",kernelFunc:T$},R$=KF({opSnippet:"return 1.0 / x;"}),O$={kernelName:Zn,backendName:"webgl",kernelFunc:R$},M$=KF({opSnippet:"if (isnan(x)) return x;\n return (x < 0.0) ? 0.0 : x;\n",packedOpSnippet:"\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n"}),B$={kernelName:Qn,backendName:"webgl",kernelFunc:M$},$$=KF({opSnippet:"if (isnan(x)) return x;\n return (x < 0.0) ? 0.0 : min(6.0, x);\n",packedOpSnippet:"\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n"}),P$={kernelName:sr,backendName:"webgl",kernelFunc:$$};class L${constructor(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];const[s,i,o,l]=e;this.outputShape=[s,t,n,l];const u=[r&&t>1?i-1:i,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n];let h;h=a?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${u[0]/c[0]},\n ${u[1]/c[1]});\n const vec2 inputShapeRC = vec2(${i}.0, ${o}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${h};\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n ivec2 sourceCeilRC = ivec2(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n float top = topLeft + (topRight - topLeft) * fracRC.y;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n float newValue = top + (bottom - top) * fracRC.x;\n\n setOutput(newValue);\n }\n `}}class z${constructor(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];const[s,i,o,l]=e;this.outputShape=[s,t,n,l];const u=[r&&t>1?i-1:i,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n];let h;h=a?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${u[0]/c[0]},\n ${u[1]/c[1]},\n ${u[1]/c[1]});\n const vec3 inputShapeRC = vec3(${i}.0, ${o}.0,\n ${o}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${h};\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n `}}const W$={kernelName:rr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{images:a}=t,{alignCorners:s,halfPixelCenters:i,size:o}=r,[l,u]=o,c=We().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new z$(a.shape,l,u,s,i):new L$(a.shape,l,u,s,i);return n.runWebGLProgram(c,[a],"float32")}};class U${constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;const[,r,a]=t,[,s,i]=e,o=[n&&s>1?r-1:r,n&&i>1?a-1:a],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],c=o[1]/l[1],h=1/u,f=1/c,d=2*Math.ceil(h)+2,p=2*Math.ceil(f)+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${u});\n const float widthScale = float(${c});\n\n const float invHeightScale = float(${h});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${p});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${s}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${i}) {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ${r-1}.0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), ${a-1}.0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}}const V$={kernelName:ar,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{images:a,dy:s}=t,{alignCorners:i}=r,o=new U$(s.shape,a.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}};class j${constructor(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];const[s,i,o,l]=e;this.outputShape=[s,t,n,l];const u=[r&&t>1?i-1:i,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0";let f;f=a?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${u[0]/c[0]},\n ${u[1]/c[1]});\n const vec2 inputShapeRC = vec2(${i}.0, ${o}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${h})));\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n `}}class H${constructor(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];const[s,i,o,l]=e;this.outputShape=[s,t,n,l];const u=[r&&t>1?i-1:i,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0";let f;f=a?"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${u[0]/c[0]},\n ${u[1]/c[1]},\n ${u[1]/c[1]});\n const vec3 inputShapeRC = vec3(${i}.0, ${o}.0,\n ${o}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${h})));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n vec4 newValue = vec4(\n getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n setOutput(newValue);\n }\n `}}const G$={kernelName:tr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{images:a}=t,{alignCorners:s,halfPixelCenters:i,size:o}=r,[l,u]=o,c=We().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new H$(a.shape,l,u,s,i):new j$(a.shape,l,u,s,i);return n.runWebGLProgram(c,[a],a.dtype)}};class X${constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;const[,r,a]=t,[,s,i]=e,o=[n&&s>1?r-1:r,n&&i>1?a-1:a],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],c=o[1]/l[1],h=1/u,f=1/c,d=2*Math.ceil(h)+2,p=2*Math.ceil(f)+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${u});\n const float widthScale = float(${c});\n\n const float invHeightScale = float(${h});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${p});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${s}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${i}) {\n continue;\n }\n\n float sourceFracRow =\n float(${o[0]}) *\n (float(dyR) / float(${l[0]}));\n\n float sourceFracCol =\n float(${o[1]}) *\n (float(dyC) / float(${l[1]}));\n\n int sourceNearestRow = int(min(\n float(int(${r}) - 1),\n ${n} ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(${a}) - 1),\n ${n} ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}}const K$={kernelName:nr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{images:a,dy:s}=t,{alignCorners:i}=r,o=new X$(s.shape,a.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}};class q${constructor(e,t){this.variableNames=["x"];const n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,1===n)return void(this.userCode=`\n void main() {\n int coord = getOutputCoords();\n setOutput(getX(${e[0]} - coord - 1));\n }\n `);const r=e.map(((n,r)=>(n=>-1!==t.indexOf(n)&&1!==e[n]?`${e[n]} - coords[${n}] - 1`:`coords[${n}]`)(r))).join(","),a=LT(n);this.userCode=`\n void main() {\n ${a} coords = getOutputCoords();\n setOutput(getX(${r}));\n }\n `}}class Y${constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;const n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;const r=_F("rc",n),a=`${r[n-1]} + 1 < ${this.outputShape[n-1]}`,s=`${r[n-2]} + 1 < ${this.outputShape[n-2]}`,i=LT(n);function o(n){const r=e.map(((r,a)=>function(n,r){return-1!==t.indexOf(n)&&1!==e[n]?`${e[n]} - ${r[n]} - 1`:`${r[n]}`}(a,n)));return`getChannel(getX(${r.join(",")}), vec2(${r.slice(-2).join(",")}))`}this.userCode=1===n?`\n void main(){\n int rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = getChannel(getX(${e[0]} - rc - 1),\n ${e[0]} - rc - 1);\n if(${a}){\n result.g = getChannel(getX(${e[0]} - (rc + 1) - 1),\n ${e[0]} - (rc + 1) - 1);\n }\n setOutput(result);\n }\n `:`\n void main() {\n ${i} rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = ${function(e){return o(e)}(r.slice())};\n if(${a}){\n result.g = ${function(e){return e[n-1]="("+e[n-1]+" + 1)",o(e)}(r.slice())};\n }\n if(${s}) {\n result.b = ${function(e){return e[n-2]="("+e[n-2]+" + 1)",o(e)}(r.slice())};\n if(${a}) {\n result.a = ${function(e){return e[n-1]="("+e[n-1]+" + 1)",e[n-2]="("+e[n-2]+" + 1)",o(e)}(r.slice())};\n }\n }\n setOutput(result);\n }\n `}}const J$={kernelName:ir,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{dims:s}=r,i=a.shape.length,o=de(s,a.shape);if(0===i)return PF({inputs:{x:a},backend:n});const l=We().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Y$(a.shape,o):new q$(a.shape,o);return n.runWebGLProgram(l,[a],a.dtype)}};class Z${constructor(e,t){this.variableNames=["Image"],this.outputShape=[];const n=e[1],r=e[2];this.outputShape=e;let a="";a="number"==typeof t?`float outputValue = ${t.toFixed(2)};`:`\n vec3 fill = vec3(${t.join(",")});\n float outputValue = fill[coords[3]];`,this.userCode=`\n uniform vec4 params;\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n int y = coords[1];\n float coordXFloat = (float(x) - params[0]) * params[3] -\n (float(y) - params[1]) * params[2];\n float coordYFloat = (float(x) - params[0]) * params[2] +\n (float(y) - params[1]) * params[3];\n int coordX = int(round(coordXFloat + params[0]));\n int coordY = int(round(coordYFloat + params[1]));\n ${a}\n if(coordX >= 0 && coordX < ${r} && coordY >= 0 && coordY < ${n}) {\n outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n }\n setOutput(outputValue);\n }\n `}getCustomSetupFunc(e,t,n,r){return(a,s)=>{null==this.paramsLoc&&(this.paramsLoc=a.getUniformLocationNoThrow(s,"params")),a.gl.uniform4f(this.paramsLoc,e,t,n,r)}}}const Q$={kernelName:Ur,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{const{image:r}=e,{radians:a,fillValue:s,center:i}=t,o=n,l=new Z$(r.shape,s),[u,c]=Zf(i,r.shape[1],r.shape[2]),h=l.getCustomSetupFunc(u,c,Math.sin(a),Math.cos(a));return o.runWebGLProgram(l,[r],r.dtype,h)}},eP=KF({opSnippet:"\n // OpenGL ES does not support round function.\n // The algorithm is based on banker's rounding.\n float base = floor(x);\n if ((x - base) < 0.5) {\n return floor(x);\n } else if ((x - base) > 0.5) {\n return ceil(x);\n } else {\n if (mod(base, 2.0) == 0.0) {\n return base;\n } else {\n return base + 1.0;\n }\n }\n"}),tP={kernelName:or,backendName:"webgl",kernelFunc:eP},nP=KF({opSnippet:"return inversesqrt(x);",cpuKernelImpl:uF}),rP={kernelName:lr,backendName:"webgl",kernelFunc:nP};class aP{constructor(e,t,n,r,a,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;const o=LT(a.length),l=LT(s.length);let u="";1===n?u="i":2===n&&(u="i, j");const c=`getIndices(${u})`;let h="";1===r?h="i":2===r&&(h="i, coords[1]");const f=`getUpdates(${h})`,d=t>1?"strides[j]":"strides";this.userCode=`\n ${o} strides = ${o}(${a});\n\n void main() {\n ${l} coords = getOutputCoords();\n float sum = 0.0;\n bool found = false;\n for (int i = 0; i < ${e}; i++) {\n int flattenedIndex = 0;\n for (int j = 0; j < ${t}; j++) {\n int index = round(${c});\n flattenedIndex += index * ${d};\n }\n if (flattenedIndex == coords[0]) {\n sum += ${f};\n found = true;\n }\n }\n setOutput(mix(getDefaultValue(), sum, float(found)));\n }\n `}}const sP={kernelName:ur,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{indices:a,updates:s}=t,{shape:i}=r,{sliceRank:o,numUpdates:l,sliceSize:u,strides:c,outputSize:h}=Ni(0,a,i),f=[h/u,u];if(0===h)return n.makeTensorInfo(i,a.dtype);const d=nR({inputs:{x:a},backend:n,attrs:{shape:[l,o]}}),p=nR({inputs:{x:s},backend:n,attrs:{shape:[l,u]}}),m=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new aP(l,o,d.shape.length,p.shape.length,c,f),y=n.runWebGLProgram(g,[p,d,m],p.dtype),b=nR({inputs:{x:y},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(m),b}};class iP{constructor(e,t,n){let r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error(`Where for rank ${n} is not yet supported`);if(1===n)a="resRC",r="resRC";else{const n=["resRC.x","resRC.y","resRC.z","resRC.w"],s=[],i=[];for(let r=0;r= 1.0) {\n setOutput(getA(${a}));\n } else {\n setOutput(getB(${a}));\n }\n }\n `}}const oP={kernelName:cr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{condition:r,t:a,e:s}=t,i=new iP(r.shape.length,a.shape,a.shape.length);return n.runWebGLProgram(i,[r,a,s],Da(a.dtype,s.dtype))}},lP=KF({opSnippet:`\n // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n // see: https://arxiv.org/abs/1706.02515\n float scaleAlpha = ${ad};\n float scale = ${sd};\n return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`}),uP={kernelName:hr,backendName:"webgl",kernelFunc:lP},cP=KF({opSnippet:"return 1.0 / (1.0 + exp(-1.0 * x));"}),hP={kernelName:gr,backendName:"webgl",kernelFunc:cP},fP=KF({opSnippet:"\n if (isnan(x)) { return 0.0; }\n return sign(x);\n"}),dP={kernelName:mr,backendName:"webgl",kernelFunc:fP},pP=KF({opSnippet:"if (isnan(x)) return x;\n return sin(x);\n"}),mP={kernelName:dr,backendName:"webgl",kernelFunc:pP},gP=KF({opSnippet:"\n float e2x = exp(x);\n return (e2x - 1.0 / e2x) / 2.0;\n"}),yP={kernelName:pr,backendName:"webgl",kernelFunc:gP},bP=KF({opSnippet:"\n float epsilon = 1.1920928955078125e-7;\n float threshold = log(epsilon) + 2.0;\n\n bool too_large = x > -threshold;\n bool too_small = x < threshold;\n\n float result;\n float exp_x = exp(x);\n\n if (too_large){\n result = x;\n }\n else if (too_small){\n result = exp_x;\n }\n else{\n result = log(exp_x + 1.0);\n }\n return result;\n"}),vP={kernelName:yr,backendName:"webgl",kernelFunc:bP},wP={kernelName:wr,backendName:"webgl",kernelFunc:e=>{const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockShape:s,paddings:i}=r;Q(a.shape.length<=4,(()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"));const o=s.reduce(((e,t)=>e*t)),l=[[0,0]];l.push(...i);for(let e=1+s.length;en.disposeIntermediateTensorInfo(e))),g}},_P={kernelName:kr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{indices:r,values:a,denseShape:s,defaultValue:i}=t;if(1!==s.shape.length)throw new Error(`Dense shape must be a vector, saw:\n ${s.shape}`);if(2!==r.shape.length)throw new Error(`Indices must be a matrix, saw:\n ${r.shape}`);if(1!==a.shape.length)throw new Error(`Values must be a vector, saw:\n ${a.shape}`);if(0!==i.shape.length)throw new Error(`Default value must be a scalar, saw:\n ${i.shape}`);const o=n.readSync(r.dataId),l=n.readSync(a.dataId),u=n.readSync(s.dataId),c=n.readSync(i.dataId)[0],[h,f,d,p,m]=fF(o,r.shape,r.dtype,l,a.dtype,u,c);return[n.makeTensorInfo(f,r.dtype,h),n.makeTensorInfo([f[0]],a.dtype,d),n.makeTensorInfo([p.length],"bool",new Uint8Array(p.map((e=>Number(e))))),n.makeTensorInfo([m.length],r.dtype,new Int32Array(m))]}},xP={kernelName:Er,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n}=e,{inputIndices:r,inputShape:a,newShape:s}=t;if(2!==r.shape.length)throw new Error(`Input indices should be a matrix but received shape ${r.shape}`);if(1!==a.shape.length)throw new Error(`Input shape should be a vector but received shape ${a.shape}`);if(1!==s.shape.length)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);const i=Array.from(n.readSync(a.dataId)),o=n.readSync(r.dataId),l=Array.from(n.readSync(s.dataId)),[u,c,h]=dF(o,r.shape,r.dtype,i,l);return[n.makeTensorInfo(c,r.dtype,u),n.makeTensorInfo([h.length],s.dtype,new Int32Array(h))]}},kP={kernelName:Cr,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{sparseIndices:a,sparseValues:s,defaultValue:i}=t,{outputShape:o}=r,{sliceRank:l,numUpdates:u,strides:c,outputSize:h}=Ni(0,a,o),f=new aP(u,l,a.shape.length,s.shape.length,c,[h,1],!1),d=n.runWebGLProgram(f,[s,a,i],s.dtype),p=nR({inputs:{x:d},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(d),p}},EP={kernelName:_r,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{numOrSizeSplits:s,axis:i}=r,o=de(i,a.shape)[0],l=Ad(a,s,o),u=a.shape.length,c=new Array(u).fill(0),h=a.shape.slice();return l.map((e=>{const t=[...h];t[o]=e;const r=lO({inputs:{x:a},backend:n,attrs:{begin:c,size:t}});return c[o]+=e,r}))}},CP=KF({opSnippet:"return sqrt(x);"}),SP={kernelName:br,backendName:"webgl",kernelFunc:CP},NP=KF({opSnippet:"return x * x;"}),IP={kernelName:Nr,backendName:"webgl",kernelFunc:NP},AP="return (a - b) * (a - 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OP={kernelName:Ir,backendName:"webgl",kernelFunc:function(e){const{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:h,shrinkAxisMask:f}=r,{nonStrided:d,$begin:p,$strides:m,size:g,newShape:y,outShape:b}=Vi(a.shape,s,i,o,l,u,c,h,f),v=nR({inputs:{x:a},backend:n,attrs:{shape:y}});let w;if(d){const e=lO({inputs:{x:v},backend:n,attrs:{begin:p,size:g}});w=nR({inputs:{x:e},backend:n,attrs:{shape:b}}),n.disposeIntermediateTensorInfo(e)}else if(b.some((e=>0===e)))w=n.makeTensorInfo(b,a.dtype,[]);else if(n.shouldExecuteOnCPU([v])){const e=n.texData.get(v.dataId).values,t=Xs(v.shape,v.dtype,e),r=pF(b,t,m,p);w=n.makeTensorInfo(b,v.dtype,r.values)}else{const e=new RP(p,m,b);w=n.runWebGLProgram(e,[v],v.dtype)}const _=nR({inputs:{x:w},backend:n,attrs:{shape:b}});return n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(w),_}},MP=KF({opSnippet:"return 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Axis of 1 must be accompanied by an array of column(s) names");var a=this,s={},i=[],o=r.map((function(e){var t=a.columns.indexOf(e);if(-1==t)throw new Error('column "'.concat(e,'" does not exist'));return t}));if(this.col_data.forEach((function(e,t){o.includes(t)||(s[a.column_names[t]]=e,i.push(a.dtypes[t]))})),!t.inplace){var l=a.columns,u=Object.keys(s),c=new DataFrame(s,{index:a.index,dtypes:i});return c.__set_col_property(c,c.col_data,u,l),c}var h=a.columns,f=Object.keys(s);this.__update_frame_in_place(null,null,s,null,i),this.__set_col_property(a,a.col_data,f,h)}else{if(!utils.__key_in_object(t,"index"))throw Error("No index label found. Axis of 0 must be accompanied by an array of index labels");r.forEach((function(t){if(!e.index.includes(t))throw new Error("".concat(t," does not exist in index"))}));var d,p,m=this.values,g=[];if("string"==typeof r[0]?(this.index.forEach((function(e,t){r.includes(e)&&g.push(t)})),d=utils.__remove_arr(m,g),p=utils.__remove_arr(this.index,g)):(d=utils.__remove_arr(m,r),p=utils.__remove_arr(this.index,r)),!t.inplace)return new DataFrame(d,{columns:this.columns,index:p});this.row_data_tensor=_tensorflow_tfjs__WEBPACK_IMPORTED_MODULE_10__.tensor(d),this.data=d,this.__set_index(p)}}},{key:"loc",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},t=["columns","rows"];utils._throw_wrong_params_error(e,t),e.type="loc";var n=(0,_indexing__WEBPACK_IMPORTED_MODULE_13__.j)(this,e),r=_babel_runtime_helpers_slicedToArray__WEBPACK_IMPORTED_MODULE_1___default()(n,3),a=r[0],s=r[1],i=r[2],o={columns:s},l=new DataFrame(a,o);return l.__set_index(i),l}},{key:"iloc",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},t=["columns","rows"];utils._throw_wrong_params_error(e,t),e.type="iloc";var n=(0,_indexing__WEBPACK_IMPORTED_MODULE_13__.j)(this,e),r=_babel_runtime_helpers_slicedToArray__WEBPACK_IMPORTED_MODULE_1___default()(n,3),a=r[0],s=r[1],i=r[2],o={columns:s},l=new DataFrame(a,o);return l.__set_index(i),l}},{key:"head",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:5;if(e>this.values.length||e<1)return this;var t=this.values.slice(0,e),n=this.index.slice(0,e),r={columns:this.column_names,index:n},a=new DataFrame(t,r);return a}},{key:"tail",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:5,t=this.values.length;if(e>t||e<1)return this;var n=this.values.slice(t-e),r=this.index.slice(t-e),a={columns:this.column_names,index:r},s=new DataFrame(n,a);return s}},{key:"sample",value:(_sample=_babel_runtime_helpers_asyncToGenerator__WEBPACK_IMPORTED_MODULE_3___default()(_babel_runtime_regenerator__WEBPACK_IMPORTED_MODULE_2___default().mark((function e(){var t,n,r,a,s=arguments;return _babel_runtime_regenerator__WEBPACK_IMPORTED_MODULE_2___default().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=s.length>0&&void 0!==s[0]?s[0]:-1,n=s.length>1&&void 0!==s[1]?s[1]:1,!(t>this.shape[0])){e.next=4;break}throw new Error("Sample size n cannot be bigger than size of dataset");case 4:if(!(t<-1||0==t)){e.next=6;break}throw new Error("Sample size cannot be less than -1 or 0");case 6:return t=-1===t?this.shape[0]:t,e.next=9,_tensorflow_tfjs__WEBPACK_IMPORTED_MODULE_10__.data.array(this.index).shuffle(t,n).take(t).toArray();case 9:return r=e.sent,a=this.iloc({rows:r}),e.abrupt("return",a);case 12:case"end":return e.stop()}}),e,this)}))),function(){return 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Error("TypeError: Dtypes of columns must be Float of Int")}},{key:"pow",value:function(e,t){if(this.__frame_is_compactible_for_operation){var n=this.__get_ops_tensors([this,e],t),r=n[0].pow(n[1]),a=this.columns;return this.__get_df_from_tensor(r,a)}throw Error("TypeError: Dtypes of columns must be Float of Int")}},{key:"mod",value:function(e,t){if(this.__frame_is_compactible_for_operation){var n=this.__get_ops_tensors([this,e],t),r=n[0].mod(n[1]),a=this.columns;return this.__get_df_from_tensor(r,a)}throw Error("TypeError: Dtypes of columns must be Float of Int")}},{key:"mean",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:1;if(this.__frame_is_compactible_for_operation()){var t,n=[];(1==e?this.col_data:this.values).map((function(e){var t=utils._remove_nans(e),r=_tensorflow_tfjs__WEBPACK_IMPORTED_MODULE_10__.tensor(t).mean().arraySync();n.push(Number(r.toFixed(5)))})),t=1==e?this.column_names:this.index;var r=new _series__WEBPACK_IMPORTED_MODULE_12__.F(n,{columns:"sum",index:t});return r}throw Error("Dtype Error: Operation can not be performed on string type")}},{key:"median",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:1;if(this.__frame_is_compactible_for_operation){var t,n;1==e?(t=this.col_data_tensor.arraySync(),n=this.column_names):(t=this.row_data_tensor.arraySync(),n=this.index);var r=utils.__median(t,!1),a=new _series__WEBPACK_IMPORTED_MODULE_12__.F(r,{index:n});return a}throw Error("TypeError: Dtypes of columns must be Float of Int")}},{key:"min",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:1;if(this.__frame_is_compactible_for_operation){var t=this.__get_tensor_and_idx(this,e),n=t[0],r=t[1],a=n.min(t[2]),s=new _series__WEBPACK_IMPORTED_MODULE_12__.F(a.arraySync(),{index:r});return s}throw Error("TypeError: Dtypes of columns must be Float of Int")}},{key:"max",value:function(){var e=arguments.length>0&&void 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0!==arguments[0]?arguments[0]:0,t=arguments.length>1?arguments[1]:void 0;if(0!=e&&1!=e)throw new Error("axis must be between 0 or 1");if(this.__frame_is_compactible_for_operation){var n=[],r=null;r=0==e?this.col_data:this.values;for(var a=0;ai?(i=u,o.push(u)):o.push(i);break;case"min":u0&&void 0!==arguments[0]?arguments[0]:{};e=utils.__key_in_object(t,"axis")?t.axis:0;var n=this.__cum_ops(e,"sum");return n}},{key:"cummin",value:function(){var e,t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};e=utils.__key_in_object(t,"axis")?t.axis:0;var n=this.__cum_ops(e,"min");return n}},{key:"cummax",value:function(){var e,t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};e=utils.__key_in_object(t,"axis")?t.axis:0;var n=this.__cum_ops(e,"max");return n}},{key:"cumprod",value:function(){var e,t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};e=utils.__key_in_object(t,"axis")?t.axis:0;var n=this.__cum_ops(e,"prod");return n}},{key:"copy",value:function(){return new DataFrame(_babel_runtime_helpers_toConsumableArray__WEBPACK_IMPORTED_MODULE_0___default()(this.values),{columns:_babel_runtime_helpers_toConsumableArray__WEBPACK_IMPORTED_MODULE_0___default()(this.column_names),index:this.index,dtypes:this.dtypes})}},{key:"reset_index",value:function(){var e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];if(!e){var t=this.copy();return t.__reset_index(),t}this.__reset_index()}},{key:"set_index",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},t=["key","drop","inplace"];if(utils._throw_wrong_params_error(e,t),!utils.__key_in_object(e,"key"))throw Error("Index ValueError: You must specify an array of index");if(utils.__key_in_object(e,"inplace")||(e.inplace=!1),utils.__key_in_object(e,"drop")||(e.drop=!0),Array.isArray(e.key)&&e.key.length!=this.index.length)throw Error("Index LengthError: Lenght of new Index array ".concat(e.key.length," must match lenght of existing index 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1==t?(n=e.row_data_tensor,r=e.column_names,a=0):(n=e.row_data_tensor,r=e.index,a=1),[n,r,a]}},{key:"query",value:function query(kwargs){var operators=[">","<","<=",">=","==","!="],column_index,operator,value;if(utils.__key_in_object(kwargs,"inplace")||(kwargs.inplace=!1),!utils.__key_in_object(kwargs,"column"))throw new Error("specify the column");if(!this.columns.includes(kwargs.column))throw new Error("column ".concat(kwargs.column," does not exist"));if(column_index=this.columns.indexOf(kwargs.column),!utils.__key_in_object(kwargs,"is"))throw new Error("specify an operator in param [is]");if(!operators.includes(kwargs.is))throw new Error(" ".concat(kwargs.is," is not a supported logical operator"));if(operator=kwargs.is,!utils.__key_in_object(kwargs,"to"))throw new Error("specify a value in param [to]");value=kwargs.to;for(var data=this.values,index=this.index,new_data=[],new_index=[],i=0;i0&&void 0!==arguments[0]?arguments[0]:{},n=["columns","values","inplace"];if(utils._throw_wrong_params_error(t,n),utils.__key_in_object(t,"inplace")||(t.inplace=!1),utils.__key_in_object(t,"columns")){if(t.columns.map((function(t){if(!e.column_names.includes(t))throw Error("Value Error: Specified columns must be one of ".concat(e.column_names,", got ").concat(t))})),t.columns.length!=t.values.length)throw Error("Lenght Error: The lenght of the columns names must be equal to the lenght of the values,\n got column of length ".concat(t.columns.length," but values of length ").concat(t.values.length));var r=this.col_data;t.columns.map((function(n,a){var s=e.column_names.indexOf(n),i=e.col_data[s],o=[];i.map((function(e){isNaN(e)&&"string"!=typeof e?o.push(t.values[a]):o.push(e)})),r[s]=o}));var a={};if(r.map((function(t,n){a[e.column_names[n]]=t})),!t.inplace)return new DataFrame(a,{index:this.index});this.__update_frame_in_place(null,null,a,null,null)}else{if(!utils.__key_in_object(t,"values"))throw Error("Value Error: Please specify a fill value");var s;s=Array.isArray(t.values)?t.values[0]:t.values;for(var i=[],o=this.values,l=this.columns,u=0;u0&&void 0!==arguments[0]?arguments[0]:{},t=e.axis||0,n=e.inplace||!1;if(0!=t&&1!=t)throw new Error("axis must either be 1 or 0");var r=null,a=null;0==t?(r=this.values,a=this.columns):(r=this.col_data,a=[]);for(var s=[],i=0;i0&&void 0!==arguments[0]?arguments[0]:{},n=["replace","with","in"];if(utils._throw_wrong_params_error(t,n),utils.__key_in_object(t,"in")){if(t.in.map((function(t){if(!e.column_names.includes(t))throw Error("Value Error: Specified columns must be one of ".concat(e.column_names,", got ").concat(t))})),utils.__key_in_object(t,"replace")&&utils.__key_in_object(t,"with")){var r={};return this.column_names.map((function(n,a){if(t.in.includes(n)){var s=e.col_data[a],i=[];s.map((function(e){e==t.replace?i.push(t.with):i.push(e)})),r[n]=i}else r[n]=e.col_data[a]})),new DataFrame(r,{columns:this.column_names,index:this.index})}throw Error("Params Error: Must specify both 'replace' and 'with' parameters.")}if(utils.__key_in_object(t,"replace")&&utils.__key_in_object(t,"with")){var a=[],s=this.values;s.map((function(e){var n=[];e.map((function(e){e==t.replace?n.push(t.with):n.push(e)})),a.push(n)}));var i=new DataFrame(a,{index:this.index,columns:this.column_names});return i}throw Error("Params Error: Must specify both 'replace' and 'with' parameters.")}},{key:"__logical_ops",value:function(e,t,n){var r,a;if(utils.__is_number(e))a=e;else if(e.series)if(0==n){if(e.values.length!=this.shape[0])throw Error("Shape Error: Operands could not be broadcast together with shapes ".concat(this.shape," and ").concat(e.values.length,"."));a=_tensorflow_tfjs__WEBPACK_IMPORTED_MODULE_10__.tensor(e.values)}else{if(e.values.length!=this.shape[1])throw 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DataFrame(utils.__map_int_to_bool(r,2),{columns:this.column_names,index:this.index})}},{key:"__get_df_from_tensor",value:function(e,t){for(var n=e.shape[0],r=[],a=0;a0&&void 0!==arguments[0]?arguments[0]:{};if(!utils.__key_in_object(e,"column"))throw Error("Value Error: Please specify a column to cast");if(!utils.__key_in_object(e,"dtype"))throw Error("Value Error: Please specify dtype to cast to");if(!this.column_names.includes(e.column))throw Error("'".concat(e.column,"' not found in columns"));var t=this.column_names.indexOf(e.column),n=this.col_types,r=this.col_data;n[t]=e.dtype;var a=[],s=r[t];switch(e.dtype){case"float32":s.map((function(e){a.push(Number(e))})),r[t]=a;break;case"int32":s.map((function(e){a.push(Number(Number(e).toFixed()))})),r[t]=a;break;case"string":s.map((function(e){a.push(String(e))})),r[t]=a}var i={};this.column_names.forEach((function(e,t){i[e]=r[t]}));var o=new DataFrame(i,{dtypes:n,index:this.index});return o}},{key:"unique",value:function(){var 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t=e.typed,n=e.config,r=e.matrix,a=e.DenseMatrix,s=He({typed:t}),i=qe({typed:t,DenseMatrix:a}),o=Ke({typed:t,DenseMatrix:a}),l=Ve({typed:t}),u=je({typed:t});return t(at,{"boolean, boolean":function(e,t){return et},"number, number":function(e,t){return e>t&&!(0,g.RI)(e,t,n.epsilon)},"BigNumber, BigNumber":function(e,t){return e.gt(t)&&!ce(e,t,n.epsilon)},"Fraction, Fraction":function(e,t){return 1===e.compare(t)},"Complex, Complex":function(){throw new TypeError("No ordering relation is defined for complex numbers")},"Unit, Unit":function(e,t){if(!e.equalBase(t))throw new Error("Cannot compare units with different base");return this(e.value,t.value)},"SparseMatrix, SparseMatrix":function(e,t){return i(e,t,this)},"SparseMatrix, DenseMatrix":function(e,t){return s(t,e,this,!0)},"DenseMatrix, SparseMatrix":function(e,t){return s(e,t,this,!1)},"DenseMatrix, DenseMatrix":function(e,t){return l(e,t,this)},"Array, Array":function(e,t){return this(r(e),r(t)).valueOf()},"Array, 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s(e,t,n){t.left.right=t.right,t.right.left=t.left,n.degree--,n.child===t&&(n.child=t.right),0===n.degree&&(n.child=null),t.left=e,t.right=e.right,e.right=t,t.right.left=t,t.parent=null,t.mark=!1}function i(e,t){var n=t.parent;n&&(t.mark?(s(e,t,n),i(n)):t.mark=!0)}a.prototype.type="FibonacciHeap",a.prototype.isFibonacciHeap=!0,a.prototype.insert=function(e,n){var r={key:e,value:n,degree:0};if(this._minimum){var a=this._minimum;r.left=a,r.right=a.right,a.right=r,r.right.left=r,t(e,a.key)&&(this._minimum=r)}else r.left=r,r.right=r,this._minimum=r;return this._size++,r},a.prototype.size=function(){return this._size},a.prototype.clear=function(){this._minimum=null,this._size=0},a.prototype.isEmpty=function(){return 0===this._size},a.prototype.extractMinimum=function(){var e=this._minimum;if(null===e)return e;for(var a=this._minimum,s=e.degree,i=e.child;s>0;){var l=i.right;i.left.right=i.right,i.right.left=i.left,i.left=a,i.right=a.right,a.right=i,i.right.left=i,i.parent=null,i=l,s--}return e.left.right=e.right,e.right.left=e.left,a=e===e.right?null:function(e,a){var s,i=Math.floor(Math.log(a)*r)+1,l=new Array(i),u=0,c=e;if(c)for(u++,c=c.right;c!==e;)u++,c=c.right;for(;u>0;){for(var h=c.degree,f=c.right;s=l[h];){if(n(c.key,s.key)){var d=s;s=c,c=d}o(s,c),l[h]=null,h++}l[h]=c,c=f,u--}e=null;for(var p=0;pm?d++:p===m&&(u=c(u,h(s[f],l[d])),f++,d++)}return u}});function o(e,t){var n,r,a=l(e),s=l(t);if(1===a.length)n=a[0];else{if(2!==a.length||1!==a[1])throw new RangeError("Expected a column vector, instead got a matrix of size ("+a.join(", ")+")");n=a[0]}if(1===s.length)r=s[0];else{if(2!==s.length||1!==s[1])throw new RangeError("Expected a column vector, instead got a matrix of size ("+s.join(", ")+")");r=s[0]}if(n!==r)throw new RangeError("Vectors must have equal length ("+n+" != "+r+")");if(0===n)throw new RangeError("Cannot calculate the dot product of empty vectors");return n}function l(e){return(0,i.SW)(e)?e.size():s(e)}})),ft=f("abs",["typed"],(function(e){return(0,e.typed)("abs",{number:ge,Complex:function(e){return e.abs()},BigNumber:function(e){return e.abs()},Fraction:function(e){return e.abs()},"Array | Matrix":function(e){return ne(e,this,!0)},Unit:function(e){return e.abs()}})})),dt="multiply",pt=f(dt,["typed","matrix","addScalar","multiplyScalar","equalScalar","dot"],(function(e){var t=e.typed,n=e.matrix,r=e.addScalar,a=e.multiplyScalar,s=e.equalScalar,o=e.dot,l=Xe({typed:t,equalScalar:s}),c=je({typed:t});function h(e,t){switch(e.length){case 1:switch(t.length){case 1:if(e[0]!==t[0])throw new RangeError("Dimension mismatch in multiplication. 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n.value=this(n.value,t.value),n.fixPrefix=!1,n},"SparseMatrix, SparseMatrix":function(e,t){return kt(e,t),u(e,t,this)},"SparseMatrix, DenseMatrix":function(e,t){return kt(e,t),l(t,e,this,!0)},"DenseMatrix, SparseMatrix":function(e,t){return kt(e,t),o(e,t,this,!1)},"DenseMatrix, DenseMatrix":function(e,t){return kt(e,t),h(e,t,this)},"Array, Array":function(e,t){return this(n(e),n(t)).valueOf()},"Array, Matrix":function(e,t){return this(n(e),t)},"Matrix, Array":function(e,t){return this(e,n(t))},"SparseMatrix, any":function(e,t){return c(e,s(t),a)},"DenseMatrix, any":function(e,t){return f(e,t,this)},"any, SparseMatrix":function(e,t){return c(t,e,this,!0)},"any, DenseMatrix":function(e,t){return f(t,e,this,!0)},"Array, any":function(e,t){return f(n(e),t,this,!1).valueOf()},"any, Array":function(e,t){return f(n(t),e,this,!0).valueOf()}})}));function kt(e,t){var n=e.size(),r=t.size();if(n.length!==r.length)throw new M(n.length,r.length)}var Et="equal",Ct=(f(Et,["typed","equalScalar"],(function(e){var t=e.typed,n=e.equalScalar;return t(Et,{"any, any":function(e,t){return null===e?null===t:null===t?null===e:void 0===e?void 0===t:void 0===t?void 0===e:n(e,t)}})})),"divideScalar"),St=f(Ct,["typed","numeric"],(function(e){var t=e.typed,n=e.numeric;return t(Ct,{"number, number":function(e,t){return e/t},"Complex, Complex":function(e,t){return e.div(t)},"BigNumber, BigNumber":function(e,t){return e.div(t)},"Fraction, Fraction":function(e,t){return e.div(t)},"Unit, number | Fraction | BigNumber":function(e,t){var r=e.clone(),a=n(1,(0,i.kM)(t));return r.value=this(null===r.value?r._normalize(a):r.value,t),r},"number | Fraction | BigNumber, Unit":function(e,t){var r=t.clone();r=r.pow(-1);var a=n(1,(0,i.kM)(e));return r.value=this(e,null===t.value?t._normalize(a):t.value),r},"Unit, Unit":function(e,t){return e.divide(t)}})})),Nt=f("Spa",["addScalar","equalScalar","FibonacciHeap"],(function(e){var t=e.addScalar,n=e.equalScalar,r=e.FibonacciHeap;function a(){if(!(this instanceof a))throw new SyntaxError("Constructor must be called with the new operator");this._values=[],this._heap=new r}return a.prototype.type="Spa",a.prototype.isSpa=!0,a.prototype.set=function(e,t){if(this._values[e])this._values[e].value=t;else{var n=this._heap.insert(e,t);this._values[e]=n}},a.prototype.get=function(e){var t=this._values[e];return t?t.value:0},a.prototype.accumulate=function(e,n){var r=this._values[e];r?r.value=t(r.value,n):(r=this._heap.insert(e,n),this._values[e]=r)},a.prototype.forEach=function(e,t,r){var a=this._heap,s=this._values,i=[],o=a.extractMinimum();for(o&&i.push(o);o&&o.key<=t;)o.key>=e&&(n(o.value,0)||r(o.key,o.value,this)),(o=a.extractMinimum())&&i.push(o);for(var l=0;l0&&e.forEach(0,n-1,(function(t,n){d._forEachRow(t,b,v,w,(function(r,a){r>t&&e.accumulate(r,h(i(a,n)))}))}));var I,A,D,T,F=n,R=e.get(n),O=r(R);e.forEach(n+1,o-1,(function(e,t){var n=r(t);u(n,O)&&(F=e,O=n,R=t)})),n!==F&&(d._swapRows(n,F,_[1],b,v,w),d._swapRows(n,F,C[1],x,k,E),e.swap(n,F),A=F,D=N[I=n],T=N[A],S[D]=A,S[T]=I,N[I]=T,N[A]=D),e.forEach(0,o-1,(function(e,t){e<=n?(x.push(t),k.push(e)):(t=s(t,R),c(t,0)||(b.push(t),v.push(e)))}))};for(n=0;n0)for(t=0;t=t)break;for(var p=f,m=0;!d[i.p[p]];)d[i.p[p]]=!0,p=i.p[p],m++;m%2==0&&h++}return h%2==0?u:s(u)}(e.clone().valueOf(),u);throw new RangeError("Matrix must be square (size: "+R(t)+")");default:throw new RangeError("Matrix must be two dimensional (size: "+R(t)+")")}}})})),Dt=f("inv",["typed","matrix","divideScalar","addScalar","multiply","unaryMinus","det","identity","abs"],(function(e){var t=e.typed,n=e.matrix,r=e.divideScalar,a=e.addScalar,s=e.multiply,o=e.unaryMinus,l=e.det,u=e.identity,c=e.abs;return t("inv",{"Array | Matrix":function(e){var t=(0,i.SW)(e)?e.size():$(e);switch(t.length){case 1:if(1===t[0])return(0,i.SW)(e)?n([r(1,e.valueOf()[0])]):[r(1,e[0])];throw new RangeError("Matrix must be square (size: 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0+e]=r[245][e]);for(r[246]="����������������������������������������������������������������鯜鯝鯞鯟鯠鯡鯢鯣鯤鯥鯦鯧鯨鯩鯪鯫鯬鯭鯮鯯鯰鯱鯲鯳鯴鯵鯶鯷鯸鯹鯺鯻鯼鯽鯾鯿鰀鰁鰂鰃鰄鰅鰆鰇鰈鰉鰊鰋鰌鰍鰎鰏鰐鰑鰒鰓鰔鰕鰖鰗鰘鰙鰚�鰛鰜鰝鰞鰟鰠鰡鰢鰣鰤鰥鰦鰧鰨鰩鰪鰫鰬鰭鰮鰯鰰鰱鰲鰳鰴鰵鰶鰷鰸鰹鰺鰻觥觫觯訾謦靓雩雳雯霆霁霈霏霎霪霭霰霾龀龃龅龆龇龈龉龊龌黾鼋鼍隹隼隽雎雒瞿雠銎銮鋈錾鍪鏊鎏鐾鑫鱿鲂鲅鲆鲇鲈稣鲋鲎鲐鲑鲒鲔鲕鲚鲛鲞鲟鲠鲡鲢鲣鲥鲦鲧鲨鲩鲫鲭鲮鲰鲱鲲鲳鲴鲵鲶鲷鲺鲻鲼鲽鳄鳅鳆鳇鳊鳋�".split(""),e=0;e!=r[246].length;++e)65533!==r[246][e].charCodeAt(0)&&(n[r[246][e]]=62976+e,t[62976+e]=r[246][e]);for(r[247]="����������������������������������������������������������������鰼鰽鰾鰿鱀鱁鱂鱃鱄鱅鱆鱇鱈鱉鱊鱋鱌鱍鱎鱏鱐鱑鱒鱓鱔鱕鱖鱗鱘鱙鱚鱛鱜鱝鱞鱟鱠鱡鱢鱣鱤鱥鱦鱧鱨鱩鱪鱫鱬鱭鱮鱯鱰鱱鱲鱳鱴鱵鱶鱷鱸鱹鱺�鱻鱽鱾鲀鲃鲄鲉鲊鲌鲏鲓鲖鲗鲘鲙鲝鲪鲬鲯鲹鲾鲿鳀鳁鳂鳈鳉鳑鳒鳚鳛鳠鳡鳌鳍鳎鳏鳐鳓鳔鳕鳗鳘鳙鳜鳝鳟鳢靼鞅鞑鞒鞔鞯鞫鞣鞲鞴骱骰骷鹘骶骺骼髁髀髅髂髋髌髑魅魃魇魉魈魍魑飨餍餮饕饔髟髡髦髯髫髻髭髹鬈鬏鬓鬟鬣麽麾縻麂麇麈麋麒鏖麝麟黛黜黝黠黟黢黩黧黥黪黯鼢鼬鼯鼹鼷鼽鼾齄�".split(""),e=0;e!=r[247].length;++e)65533!==r[247][e].charCodeAt(0)&&(n[r[247][e]]=63232+e,t[63232+e]=r[247][e]);for(r[248]="����������������������������������������������������������������鳣鳤鳥鳦鳧鳨鳩鳪鳫鳬鳭鳮鳯鳰鳱鳲鳳鳴鳵鳶鳷鳸鳹鳺鳻鳼鳽鳾鳿鴀鴁鴂鴃鴄鴅鴆鴇鴈鴉鴊鴋鴌鴍鴎鴏鴐鴑鴒鴓鴔鴕鴖鴗鴘鴙鴚鴛鴜鴝鴞鴟鴠鴡�鴢鴣鴤鴥鴦鴧鴨鴩鴪鴫鴬鴭鴮鴯鴰鴱鴲鴳鴴鴵鴶鴷鴸鴹鴺鴻鴼鴽鴾鴿鵀鵁鵂�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[248].length;++e)65533!==r[248][e].charCodeAt(0)&&(n[r[248][e]]=63488+e,t[63488+e]=r[248][e]);for(r[249]="����������������������������������������������������������������鵃鵄鵅鵆鵇鵈鵉鵊鵋鵌鵍鵎鵏鵐鵑鵒鵓鵔鵕鵖鵗鵘鵙鵚鵛鵜鵝鵞鵟鵠鵡鵢鵣鵤鵥鵦鵧鵨鵩鵪鵫鵬鵭鵮鵯鵰鵱鵲鵳鵴鵵鵶鵷鵸鵹鵺鵻鵼鵽鵾鵿鶀鶁�鶂鶃鶄鶅鶆鶇鶈鶉鶊鶋鶌鶍鶎鶏鶐鶑鶒鶓鶔鶕鶖鶗鶘鶙鶚鶛鶜鶝鶞鶟鶠鶡鶢�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[249].length;++e)65533!==r[249][e].charCodeAt(0)&&(n[r[249][e]]=63744+e,t[63744+e]=r[249][e]);for(r[250]="����������������������������������������������������������������鶣鶤鶥鶦鶧鶨鶩鶪鶫鶬鶭鶮鶯鶰鶱鶲鶳鶴鶵鶶鶷鶸鶹鶺鶻鶼鶽鶾鶿鷀鷁鷂鷃鷄鷅鷆鷇鷈鷉鷊鷋鷌鷍鷎鷏鷐鷑鷒鷓鷔鷕鷖鷗鷘鷙鷚鷛鷜鷝鷞鷟鷠鷡�鷢鷣鷤鷥鷦鷧鷨鷩鷪鷫鷬鷭鷮鷯鷰鷱鷲鷳鷴鷵鷶鷷鷸鷹鷺鷻鷼鷽鷾鷿鸀鸁鸂�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[250].length;++e)65533!==r[250][e].charCodeAt(0)&&(n[r[250][e]]=64e3+e,t[64e3+e]=r[250][e]);for(r[251]="����������������������������������������������������������������鸃鸄鸅鸆鸇鸈鸉鸊鸋鸌鸍鸎鸏鸐鸑鸒鸓鸔鸕鸖鸗鸘鸙鸚鸛鸜鸝鸞鸤鸧鸮鸰鸴鸻鸼鹀鹍鹐鹒鹓鹔鹖鹙鹝鹟鹠鹡鹢鹥鹮鹯鹲鹴鹵鹶鹷鹸鹹鹺鹻鹼鹽麀�麁麃麄麅麆麉麊麌麍麎麏麐麑麔麕麖麗麘麙麚麛麜麞麠麡麢麣麤麥麧麨麩麪�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[251].length;++e)65533!==r[251][e].charCodeAt(0)&&(n[r[251][e]]=64256+e,t[64256+e]=r[251][e]);for(r[252]="����������������������������������������������������������������麫麬麭麮麯麰麱麲麳麵麶麷麹麺麼麿黀黁黂黃黅黆黇黈黊黋黌黐黒黓黕黖黗黙黚點黡黣黤黦黨黫黬黭黮黰黱黲黳黴黵黶黷黸黺黽黿鼀鼁鼂鼃鼄鼅�鼆鼇鼈鼉鼊鼌鼏鼑鼒鼔鼕鼖鼘鼚鼛鼜鼝鼞鼟鼡鼣鼤鼥鼦鼧鼨鼩鼪鼫鼭鼮鼰鼱�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[252].length;++e)65533!==r[252][e].charCodeAt(0)&&(n[r[252][e]]=64512+e,t[64512+e]=r[252][e]);for(r[253]="����������������������������������������������������������������鼲鼳鼴鼵鼶鼸鼺鼼鼿齀齁齂齃齅齆齇齈齉齊齋齌齍齎齏齒齓齔齕齖齗齘齙齚齛齜齝齞齟齠齡齢齣齤齥齦齧齨齩齪齫齬齭齮齯齰齱齲齳齴齵齶齷齸�齹齺齻齼齽齾龁龂龍龎龏龐龑龒龓龔龕龖龗龘龜龝龞龡龢龣龤龥郎凉秊裏隣�����������������������������������������������������������������������������������������������".split(""),e=0;e!=r[253].length;++e)65533!==r[253][e].charCodeAt(0)&&(n[r[253][e]]=64768+e,t[64768+e]=r[253][e]);for(r[254]="����������������������������������������������������������������兀嗀﨎﨏﨑﨓﨔礼﨟蘒﨡﨣﨤﨧﨨﨩��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������".split(""),e=0;e!=r[254].length;++e)65533!==r[254][e].charCodeAt(0)&&(n[r[254][e]]=65024+e,t[65024+e]=r[254][e]);return{enc:n,dec:t}}(),t[949]=function(){var e,t=[],n={},r=[];for(r[0]="\0\b\t\n\v\f\r !\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~��������������������������������������������������������������������������������������������������������������������������������".split(""),e=0;e!=r[0].length;++e)65533!==r[0][e].charCodeAt(0)&&(n[r[0][e]]=0+e,t[0+e]=r[0][e]);for(r[129]="�����������������������������������������������������������������갂갃갅갆갋갌갍갎갏갘갞갟갡갢갣갥갦갧갨갩갪갫갮갲갳갴������갵갶갷갺갻갽갾갿걁걂걃걄걅걆걇걈걉걊걌걎걏걐걑걒걓걕������걖걗걙걚걛걝걞걟걠걡걢걣걤걥걦걧걨걩걪걫걬걭걮걯걲걳걵걶걹걻걼걽걾걿겂겇겈겍겎겏겑겒겓겕겖겗겘겙겚겛겞겢겣겤겥겦겧겫겭겮겱겲겳겴겵겶겷겺겾겿곀곂곃곅곆곇곉곊곋곍곎곏곐곑곒곓곔곖곘곙곚곛곜곝곞곟곢곣곥곦곩곫곭곮곲곴곷곸곹곺곻곾곿괁괂괃괅괇괈괉괊괋괎괐괒괓�".split(""),e=0;e!=r[129].length;++e)65533!==r[129][e].charCodeAt(0)&&(n[r[129][e]]=33024+e,t[33024+e]=r[129][e]);for(r[130]="�����������������������������������������������������������������괔괕괖괗괙괚괛괝괞괟괡괢괣괤괥괦괧괨괪괫괮괯괰괱괲괳������괶괷괹괺괻괽괾괿굀굁굂굃굆굈굊굋굌굍굎굏굑굒굓굕굖굗������굙굚굛굜굝굞굟굠굢굤굥굦굧굨굩굪굫굮굯굱굲굷굸굹굺굾궀궃궄궅궆궇궊궋궍궎궏궑궒궓궔궕궖궗궘궙궚궛궞궟궠궡궢궣궥궦궧궨궩궪궫궬궭궮궯궰궱궲궳궴궵궶궸궹궺궻궼궽궾궿귂귃귅귆귇귉귊귋귌귍귎귏귒귔귕귖귗귘귙귚귛귝귞귟귡귢귣귥귦귧귨귩귪귫귬귭귮귯귰귱귲귳귴귵귶귷�".split(""),e=0;e!=r[130].length;++e)65533!==r[130][e].charCodeAt(0)&&(n[r[130][e]]=33280+e,t[33280+e]=r[130][e]);for(r[131]="�����������������������������������������������������������������귺귻귽귾긂긃긄긅긆긇긊긌긎긏긐긑긒긓긕긖긗긘긙긚긛긜������긝긞긟긠긡긢긣긤긥긦긧긨긩긪긫긬긭긮긯긲긳긵긶긹긻긼������긽긾긿깂깄깇깈깉깋깏깑깒깓깕깗깘깙깚깛깞깢깣깤깦깧깪깫깭깮깯깱깲깳깴깵깶깷깺깾깿꺀꺁꺂꺃꺆꺇꺈꺉꺊꺋꺍꺎꺏꺐꺑꺒꺓꺔꺕꺖꺗꺘꺙꺚꺛꺜꺝꺞꺟꺠꺡꺢꺣꺤꺥꺦꺧꺨꺩꺪꺫꺬꺭꺮꺯꺰꺱꺲꺳꺴꺵꺶꺷꺸꺹꺺꺻꺿껁껂껃껅껆껇껈껉껊껋껎껒껓껔껕껖껗껚껛껝껞껟껠껡껢껣껤껥�".split(""),e=0;e!=r[131].length;++e)65533!==r[131][e].charCodeAt(0)&&(n[r[131][e]]=33536+e,t[33536+e]=r[131][e]);for(r[132]="�����������������������������������������������������������������껦껧껩껪껬껮껯껰껱껲껳껵껶껷껹껺껻껽껾껿꼀꼁꼂꼃꼄꼅������꼆꼉꼊꼋꼌꼎꼏꼑꼒꼓꼔꼕꼖꼗꼘꼙꼚꼛꼜꼝꼞꼟꼠꼡꼢꼣������꼤꼥꼦꼧꼨꼩꼪꼫꼮꼯꼱꼳꼵꼶꼷꼸꼹꼺꼻꼾꽀꽄꽅꽆꽇꽊꽋꽌꽍꽎꽏꽑꽒꽓꽔꽕꽖꽗꽘꽙꽚꽛꽞꽟꽠꽡꽢꽣꽦꽧꽨꽩꽪꽫꽬꽭꽮꽯꽰꽱꽲꽳꽴꽵꽶꽷꽸꽺꽻꽼꽽꽾꽿꾁꾂꾃꾅꾆꾇꾉꾊꾋꾌꾍꾎꾏꾒꾓꾔꾖꾗꾘꾙꾚꾛꾝꾞꾟꾠꾡꾢꾣꾤꾥꾦꾧꾨꾩꾪꾫꾬꾭꾮꾯꾰꾱꾲꾳꾴꾵꾶꾷꾺꾻꾽꾾�".split(""),e=0;e!=r[132].length;++e)65533!==r[132][e].charCodeAt(0)&&(n[r[132][e]]=33792+e,t[33792+e]=r[132][e]);for(r[133]="�����������������������������������������������������������������꾿꿁꿂꿃꿄꿅꿆꿊꿌꿏꿐꿑꿒꿓꿕꿖꿗꿘꿙꿚꿛꿝꿞꿟꿠꿡������꿢꿣꿤꿥꿦꿧꿪꿫꿬꿭꿮꿯꿲꿳꿵꿶꿷꿹꿺꿻꿼꿽꿾꿿뀂뀃������뀅뀆뀇뀈뀉뀊뀋뀍뀎뀏뀑뀒뀓뀕뀖뀗뀘뀙뀚뀛뀞뀟뀠뀡뀢뀣뀤뀥뀦뀧뀩뀪뀫뀬뀭뀮뀯뀰뀱뀲뀳뀴뀵뀶뀷뀸뀹뀺뀻뀼뀽뀾뀿끀끁끂끃끆끇끉끋끍끏끐끑끒끖끘끚끛끜끞끟끠끡끢끣끤끥끦끧끨끩끪끫끬끭끮끯끰끱끲끳끴끵끶끷끸끹끺끻끾끿낁낂낃낅낆낇낈낉낊낋낎낐낒낓낔낕낖낗낛낝낞낣낤�".split(""),e=0;e!=r[133].length;++e)65533!==r[133][e].charCodeAt(0)&&(n[r[133][e]]=34048+e,t[34048+e]=r[133][e]);for(r[134]="�����������������������������������������������������������������낥낦낧낪낰낲낶낷낹낺낻낽낾낿냀냁냂냃냆냊냋냌냍냎냏냒������냓냕냖냗냙냚냛냜냝냞냟냡냢냣냤냦냧냨냩냪냫냬냭냮냯냰������냱냲냳냴냵냶냷냸냹냺냻냼냽냾냿넀넁넂넃넄넅넆넇넊넍넎넏넑넔넕넖넗넚넞넟넠넡넢넦넧넩넪넫넭넮넯넰넱넲넳넶넺넻넼넽넾넿녂녃녅녆녇녉녊녋녌녍녎녏녒녓녖녗녙녚녛녝녞녟녡녢녣녤녥녦녧녨녩녪녫녬녭녮녯녰녱녲녳녴녵녶녷녺녻녽녾녿놁놃놄놅놆놇놊놌놎놏놐놑놕놖놗놙놚놛놝�".split(""),e=0;e!=r[134].length;++e)65533!==r[134][e].charCodeAt(0)&&(n[r[134][e]]=34304+e,t[34304+e]=r[134][e]);for(r[135]="�����������������������������������������������������������������놞놟놠놡놢놣놤놥놦놧놩놪놫놬놭놮놯놰놱놲놳놴놵놶놷놸������놹놺놻놼놽놾놿뇀뇁뇂뇃뇄뇅뇆뇇뇈뇉뇊뇋뇍뇎뇏뇑뇒뇓뇕������뇖뇗뇘뇙뇚뇛뇞뇠뇡뇢뇣뇤뇥뇦뇧뇪뇫뇭뇮뇯뇱뇲뇳뇴뇵뇶뇷뇸뇺뇼뇾뇿눀눁눂눃눆눇눉눊눍눎눏눐눑눒눓눖눘눚눛눜눝눞눟눡눢눣눤눥눦눧눨눩눪눫눬눭눮눯눰눱눲눳눵눶눷눸눹눺눻눽눾눿뉀뉁뉂뉃뉄뉅뉆뉇뉈뉉뉊뉋뉌뉍뉎뉏뉐뉑뉒뉓뉔뉕뉖뉗뉙뉚뉛뉝뉞뉟뉡뉢뉣뉤뉥뉦뉧뉪뉫뉬뉭뉮�".split(""),e=0;e!=r[135].length;++e)65533!==r[135][e].charCodeAt(0)&&(n[r[135][e]]=34560+e,t[34560+e]=r[135][e]);for(r[136]="�����������������������������������������������������������������뉯뉰뉱뉲뉳뉶뉷뉸뉹뉺뉻뉽뉾뉿늀늁늂늃늆늇늈늊늋늌늍늎������늏늒늓늕늖늗늛늜늝늞늟늢늤늧늨늩늫늭늮늯늱늲늳늵늶늷������늸늹늺늻늼늽늾늿닀닁닂닃닄닅닆닇닊닋닍닎닏닑닓닔닕닖닗닚닜닞닟닠닡닣닧닩닪닰닱닲닶닼닽닾댂댃댅댆댇댉댊댋댌댍댎댏댒댖댗댘댙댚댛댝댞댟댠댡댢댣댤댥댦댧댨댩댪댫댬댭댮댯댰댱댲댳댴댵댶댷댸댹댺댻댼댽댾댿덀덁덂덃덄덅덆덇덈덉덊덋덌덍덎덏덐덑덒덓덗덙덚덝덠덡덢덣�".split(""),e=0;e!=r[136].length;++e)65533!==r[136][e].charCodeAt(0)&&(n[r[136][e]]=34816+e,t[34816+e]=r[136][e]);for(r[137]="�����������������������������������������������������������������덦덨덪덬덭덯덲덳덵덶덷덹덺덻덼덽덾덿뎂뎆뎇뎈뎉뎊뎋뎍������뎎뎏뎑뎒뎓뎕뎖뎗뎘뎙뎚뎛뎜뎝뎞뎟뎢뎣뎤뎥뎦뎧뎩뎪뎫뎭������뎮뎯뎰뎱뎲뎳뎴뎵뎶뎷뎸뎹뎺뎻뎼뎽뎾뎿돀돁돂돃돆돇돉돊돍돏돑돒돓돖돘돚돜돞돟돡돢돣돥돦돧돩돪돫돬돭돮돯돰돱돲돳돴돵돶돷돸돹돺돻돽돾돿됀됁됂됃됄됅됆됇됈됉됊됋됌됍됎됏됑됒됓됔됕됖됗됙됚됛됝됞됟됡됢됣됤됥됦됧됪됬됭됮됯됰됱됲됳됵됶됷됸됹됺됻됼됽됾됿둀둁둂둃둄�".split(""),e=0;e!=r[137].length;++e)65533!==r[137][e].charCodeAt(0)&&(n[r[137][e]]=35072+e,t[35072+e]=r[137][e]);for(r[138]="�����������������������������������������������������������������둅둆둇둈둉둊둋둌둍둎둏둒둓둕둖둗둙둚둛둜둝둞둟둢둤둦������둧둨둩둪둫둭둮둯둰둱둲둳둴둵둶둷둸둹둺둻둼둽둾둿뒁뒂������뒃뒄뒅뒆뒇뒉뒊뒋뒌뒍뒎뒏뒐뒑뒒뒓뒔뒕뒖뒗뒘뒙뒚뒛뒜뒞뒟뒠뒡뒢뒣뒥뒦뒧뒩뒪뒫뒭뒮뒯뒰뒱뒲뒳뒴뒶뒸뒺뒻뒼뒽뒾뒿듁듂듃듅듆듇듉듊듋듌듍듎듏듑듒듓듔듖듗듘듙듚듛듞듟듡듢듥듧듨듩듪듫듮듰듲듳듴듵듶듷듹듺듻듼듽듾듿딀딁딂딃딄딅딆딇딈딉딊딋딌딍딎딏딐딑딒딓딖딗딙딚딝�".split(""),e=0;e!=r[138].length;++e)65533!==r[138][e].charCodeAt(0)&&(n[r[138][e]]=35328+e,t[35328+e]=r[138][e]);for(r[139]="�����������������������������������������������������������������딞딟딠딡딢딣딦딫딬딭딮딯딲딳딵딶딷딹딺딻딼딽딾딿땂땆������땇땈땉땊땎땏땑땒땓땕땖땗땘땙땚땛땞땢땣땤땥땦땧땨땩땪������땫땬땭땮땯땰땱땲땳땴땵땶땷땸땹땺땻땼땽땾땿떀떁떂떃떄떅떆떇떈떉떊떋떌떍떎떏떐떑떒떓떔떕떖떗떘떙떚떛떜떝떞떟떢떣떥떦떧떩떬떭떮떯떲떶떷떸떹떺떾떿뗁뗂뗃뗅뗆뗇뗈뗉뗊뗋뗎뗒뗓뗔뗕뗖뗗뗙뗚뗛뗜뗝뗞뗟뗠뗡뗢뗣뗤뗥뗦뗧뗨뗩뗪뗫뗭뗮뗯뗰뗱뗲뗳뗴뗵뗶뗷뗸뗹뗺뗻뗼뗽뗾뗿�".split(""),e=0;e!=r[139].length;++e)65533!==r[139][e].charCodeAt(0)&&(n[r[139][e]]=35584+e,t[35584+e]=r[139][e]);for(r[140]="�����������������������������������������������������������������똀똁똂똃똄똅똆똇똈똉똊똋똌똍똎똏똒똓똕똖똗똙똚똛똜똝������똞똟똠똡똢똣똤똦똧똨똩똪똫똭똮똯똰똱똲똳똵똶똷똸똹똺������똻똼똽똾똿뙀뙁뙂뙃뙄뙅뙆뙇뙉뙊뙋뙌뙍뙎뙏뙐뙑뙒뙓뙔뙕뙖뙗뙘뙙뙚뙛뙜뙝뙞뙟뙠뙡뙢뙣뙥뙦뙧뙩뙪뙫뙬뙭뙮뙯뙰뙱뙲뙳뙴뙵뙶뙷뙸뙹뙺뙻뙼뙽뙾뙿뚀뚁뚂뚃뚄뚅뚆뚇뚈뚉뚊뚋뚌뚍뚎뚏뚐뚑뚒뚓뚔뚕뚖뚗뚘뚙뚚뚛뚞뚟뚡뚢뚣뚥뚦뚧뚨뚩뚪뚭뚮뚯뚰뚲뚳뚴뚵뚶뚷뚸뚹뚺뚻뚼뚽뚾뚿뛀뛁뛂�".split(""),e=0;e!=r[140].length;++e)65533!==r[140][e].charCodeAt(0)&&(n[r[140][e]]=35840+e,t[35840+e]=r[140][e]);for(r[141]="�����������������������������������������������������������������뛃뛄뛅뛆뛇뛈뛉뛊뛋뛌뛍뛎뛏뛐뛑뛒뛓뛕뛖뛗뛘뛙뛚뛛뛜뛝������뛞뛟뛠뛡뛢뛣뛤뛥뛦뛧뛨뛩뛪뛫뛬뛭뛮뛯뛱뛲뛳뛵뛶뛷뛹뛺������뛻뛼뛽뛾뛿뜂뜃뜄뜆뜇뜈뜉뜊뜋뜌뜍뜎뜏뜐뜑뜒뜓뜔뜕뜖뜗뜘뜙뜚뜛뜜뜝뜞뜟뜠뜡뜢뜣뜤뜥뜦뜧뜪뜫뜭뜮뜱뜲뜳뜴뜵뜶뜷뜺뜼뜽뜾뜿띀띁띂띃띅띆띇띉띊띋띍띎띏띐띑띒띓띖띗띘띙띚띛띜띝띞띟띡띢띣띥띦띧띩띪띫띬띭띮띯띲띴띶띷띸띹띺띻띾띿랁랂랃랅랆랇랈랉랊랋랎랓랔랕랚랛랝랞�".split(""),e=0;e!=r[141].length;++e)65533!==r[141][e].charCodeAt(0)&&(n[r[141][e]]=36096+e,t[36096+e]=r[141][e]);for(r[142]="�����������������������������������������������������������������랟랡랢랣랤랥랦랧랪랮랯랰랱랲랳랶랷랹랺랻랼랽랾랿럀럁������럂럃럄럅럆럈럊럋럌럍럎럏럐럑럒럓럔럕럖럗럘럙럚럛럜럝������럞럟럠럡럢럣럤럥럦럧럨럩럪럫럮럯럱럲럳럵럶럷럸럹럺럻럾렂렃렄렅렆렊렋렍렎렏렑렒렓렔렕렖렗렚렜렞렟렠렡렢렣렦렧렩렪렫렭렮렯렰렱렲렳렶렺렻렼렽렾렿롁롂롃롅롆롇롈롉롊롋롌롍롎롏롐롒롔롕롖롗롘롙롚롛롞롟롡롢롣롥롦롧롨롩롪롫롮롰롲롳롴롵롶롷롹롺롻롽롾롿뢀뢁뢂뢃뢄�".split(""),e=0;e!=r[142].length;++e)65533!==r[142][e].charCodeAt(0)&&(n[r[142][e]]=36352+e,t[36352+e]=r[142][e]);for(r[143]="�����������������������������������������������������������������뢅뢆뢇뢈뢉뢊뢋뢌뢎뢏뢐뢑뢒뢓뢔뢕뢖뢗뢘뢙뢚뢛뢜뢝뢞뢟������뢠뢡뢢뢣뢤뢥뢦뢧뢩뢪뢫뢬뢭뢮뢯뢱뢲뢳뢵뢶뢷뢹뢺뢻뢼뢽������뢾뢿룂룄룆룇룈룉룊룋룍룎룏룑룒룓룕룖룗룘룙룚룛룜룞룠룢룣룤룥룦룧룪룫룭룮룯룱룲룳룴룵룶룷룺룼룾룿뤀뤁뤂뤃뤅뤆뤇뤈뤉뤊뤋뤌뤍뤎뤏뤐뤑뤒뤓뤔뤕뤖뤗뤙뤚뤛뤜뤝뤞뤟뤡뤢뤣뤤뤥뤦뤧뤨뤩뤪뤫뤬뤭뤮뤯뤰뤱뤲뤳뤴뤵뤶뤷뤸뤹뤺뤻뤾뤿륁륂륃륅륆륇륈륉륊륋륍륎륐륒륓륔륕륖륗�".split(""),e=0;e!=r[143].length;++e)65533!==r[143][e].charCodeAt(0)&&(n[r[143][e]]=36608+e,t[36608+e]=r[143][e]);for(r[144]="�����������������������������������������������������������������륚륛륝륞륟륡륢륣륤륥륦륧륪륬륮륯륰륱륲륳륶륷륹륺륻륽������륾륿릀릁릂릃릆릈릋릌릏릐릑릒릓릔릕릖릗릘릙릚릛릜릝릞������릟릠릡릢릣릤릥릦릧릨릩릪릫릮릯릱릲릳릵릶릷릸릹릺릻릾맀맂맃맄맅맆맇맊맋맍맓맔맕맖맗맚맜맟맠맢맦맧맩맪맫맭맮맯맰맱맲맳맶맻맼맽맾맿먂먃먄먅먆먇먉먊먋먌먍먎먏먐먑먒먓먔먖먗먘먙먚먛먜먝먞먟먠먡먢먣먤먥먦먧먨먩먪먫먬먭먮먯먰먱먲먳먴먵먶먷먺먻먽먾먿멁멃멄멅멆�".split(""),e=0;e!=r[144].length;++e)65533!==r[144][e].charCodeAt(0)&&(n[r[144][e]]=36864+e,t[36864+e]=r[144][e]);for(r[145]="�����������������������������������������������������������������멇멊멌멏멐멑멒멖멗멙멚멛멝멞멟멠멡멢멣멦멪멫멬멭멮멯������멲멳멵멶멷멹멺멻멼멽멾멿몀몁몂몆몈몉몊몋몍몎몏몐몑몒������몓몔몕몖몗몘몙몚몛몜몝몞몟몠몡몢몣몤몥몦몧몪몭몮몯몱몳몴몵몶몷몺몼몾몿뫀뫁뫂뫃뫅뫆뫇뫉뫊뫋뫌뫍뫎뫏뫐뫑뫒뫓뫔뫕뫖뫗뫚뫛뫜뫝뫞뫟뫠뫡뫢뫣뫤뫥뫦뫧뫨뫩뫪뫫뫬뫭뫮뫯뫰뫱뫲뫳뫴뫵뫶뫷뫸뫹뫺뫻뫽뫾뫿묁묂묃묅묆묇묈묉묊묋묌묎묐묒묓묔묕묖묗묙묚묛묝묞묟묡묢묣묤묥묦묧�".split(""),e=0;e!=r[145].length;++e)65533!==r[145][e].charCodeAt(0)&&(n[r[145][e]]=37120+e,t[37120+e]=r[145][e]);for(r[146]="�����������������������������������������������������������������묨묪묬묭묮묯묰묱묲묳묷묹묺묿뭀뭁뭂뭃뭆뭈뭊뭋뭌뭎뭑뭒������뭓뭕뭖뭗뭙뭚뭛뭜뭝뭞뭟뭠뭢뭤뭥뭦뭧뭨뭩뭪뭫뭭뭮뭯뭰뭱������뭲뭳뭴뭵뭶뭷뭸뭹뭺뭻뭼뭽뭾뭿뮀뮁뮂뮃뮄뮅뮆뮇뮉뮊뮋뮍뮎뮏뮑뮒뮓뮔뮕뮖뮗뮘뮙뮚뮛뮜뮝뮞뮟뮠뮡뮢뮣뮥뮦뮧뮩뮪뮫뮭뮮뮯뮰뮱뮲뮳뮵뮶뮸뮹뮺뮻뮼뮽뮾뮿믁믂믃믅믆믇믉믊믋믌믍믎믏믑믒믔믕믖믗믘믙믚믛믜믝믞믟믠믡믢믣믤믥믦믧믨믩믪믫믬믭믮믯믰믱믲믳믴믵믶믷믺믻믽믾밁�".split(""),e=0;e!=r[146].length;++e)65533!==r[146][e].charCodeAt(0)&&(n[r[146][e]]=37376+e,t[37376+e]=r[146][e]);for(r[147]="�����������������������������������������������������������������밃밄밅밆밇밊밎밐밒밓밙밚밠밡밢밣밦밨밪밫밬밮밯밲밳밵������밶밷밹밺밻밼밽밾밿뱂뱆뱇뱈뱊뱋뱎뱏뱑뱒뱓뱔뱕뱖뱗뱘뱙������뱚뱛뱜뱞뱟뱠뱡뱢뱣뱤뱥뱦뱧뱨뱩뱪뱫뱬뱭뱮뱯뱰뱱뱲뱳뱴뱵뱶뱷뱸뱹뱺뱻뱼뱽뱾뱿벀벁벂벃벆벇벉벊벍벏벐벑벒벓벖벘벛벜벝벞벟벢벣벥벦벩벪벫벬벭벮벯벲벶벷벸벹벺벻벾벿볁볂볃볅볆볇볈볉볊볋볌볎볒볓볔볖볗볙볚볛볝볞볟볠볡볢볣볤볥볦볧볨볩볪볫볬볭볮볯볰볱볲볳볷볹볺볻볽�".split(""),e=0;e!=r[147].length;++e)65533!==r[147][e].charCodeAt(0)&&(n[r[147][e]]=37632+e,t[37632+e]=r[147][e]);for(r[148]="�����������������������������������������������������������������볾볿봀봁봂봃봆봈봊봋봌봍봎봏봑봒봓봕봖봗봘봙봚봛봜봝������봞봟봠봡봢봣봥봦봧봨봩봪봫봭봮봯봰봱봲봳봴봵봶봷봸봹������봺봻봼봽봾봿뵁뵂뵃뵄뵅뵆뵇뵊뵋뵍뵎뵏뵑뵒뵓뵔뵕뵖뵗뵚뵛뵜뵝뵞뵟뵠뵡뵢뵣뵥뵦뵧뵩뵪뵫뵬뵭뵮뵯뵰뵱뵲뵳뵴뵵뵶뵷뵸뵹뵺뵻뵼뵽뵾뵿붂붃붅붆붋붌붍붎붏붒붔붖붗붘붛붝붞붟붠붡붢붣붥붦붧붨붩붪붫붬붭붮붯붱붲붳붴붵붶붷붹붺붻붼붽붾붿뷀뷁뷂뷃뷄뷅뷆뷇뷈뷉뷊뷋뷌뷍뷎뷏뷐뷑�".split(""),e=0;e!=r[148].length;++e)65533!==r[148][e].charCodeAt(0)&&(n[r[148][e]]=37888+e,t[37888+e]=r[148][e]);for(r[149]="�����������������������������������������������������������������뷒뷓뷖뷗뷙뷚뷛뷝뷞뷟뷠뷡뷢뷣뷤뷥뷦뷧뷨뷪뷫뷬뷭뷮뷯뷱������뷲뷳뷵뷶뷷뷹뷺뷻뷼뷽뷾뷿븁븂븄븆븇븈븉븊븋븎븏븑븒븓������븕븖븗븘븙븚븛븞븠븡븢븣븤븥븦븧븨븩븪븫븬븭븮븯븰븱븲븳븴븵븶븷븸븹븺븻븼븽븾븿빀빁빂빃빆빇빉빊빋빍빏빐빑빒빓빖빘빜빝빞빟빢빣빥빦빧빩빫빬빭빮빯빲빶빷빸빹빺빾빿뺁뺂뺃뺅뺆뺇뺈뺉뺊뺋뺎뺒뺓뺔뺕뺖뺗뺚뺛뺜뺝뺞뺟뺠뺡뺢뺣뺤뺥뺦뺧뺩뺪뺫뺬뺭뺮뺯뺰뺱뺲뺳뺴뺵뺶뺷�".split(""),e=0;e!=r[149].length;++e)65533!==r[149][e].charCodeAt(0)&&(n[r[149][e]]=38144+e,t[38144+e]=r[149][e]);for(r[150]="�����������������������������������������������������������������뺸뺹뺺뺻뺼뺽뺾뺿뻀뻁뻂뻃뻄뻅뻆뻇뻈뻉뻊뻋뻌뻍뻎뻏뻒뻓������뻕뻖뻙뻚뻛뻜뻝뻞뻟뻡뻢뻦뻧뻨뻩뻪뻫뻭뻮뻯뻰뻱뻲뻳뻴뻵������뻶뻷뻸뻹뻺뻻뻼뻽뻾뻿뼀뼂뼃뼄뼅뼆뼇뼊뼋뼌뼍뼎뼏뼐뼑뼒뼓뼔뼕뼖뼗뼚뼞뼟뼠뼡뼢뼣뼤뼥뼦뼧뼨뼩뼪뼫뼬뼭뼮뼯뼰뼱뼲뼳뼴뼵뼶뼷뼸뼹뼺뼻뼼뼽뼾뼿뽂뽃뽅뽆뽇뽉뽊뽋뽌뽍뽎뽏뽒뽓뽔뽖뽗뽘뽙뽚뽛뽜뽝뽞뽟뽠뽡뽢뽣뽤뽥뽦뽧뽨뽩뽪뽫뽬뽭뽮뽯뽰뽱뽲뽳뽴뽵뽶뽷뽸뽹뽺뽻뽼뽽뽾뽿뾀뾁뾂�".split(""),e=0;e!=r[150].length;++e)65533!==r[150][e].charCodeAt(0)&&(n[r[150][e]]=38400+e,t[38400+e]=r[150][e]);for(r[151]="�����������������������������������������������������������������뾃뾄뾅뾆뾇뾈뾉뾊뾋뾌뾍뾎뾏뾐뾑뾒뾓뾕뾖뾗뾘뾙뾚뾛뾜뾝������뾞뾟뾠뾡뾢뾣뾤뾥뾦뾧뾨뾩뾪뾫뾬뾭뾮뾯뾱뾲뾳뾴뾵뾶뾷뾸������뾹뾺뾻뾼뾽뾾뾿뿀뿁뿂뿃뿄뿆뿇뿈뿉뿊뿋뿎뿏뿑뿒뿓뿕뿖뿗뿘뿙뿚뿛뿝뿞뿠뿢뿣뿤뿥뿦뿧뿨뿩뿪뿫뿬뿭뿮뿯뿰뿱뿲뿳뿴뿵뿶뿷뿸뿹뿺뿻뿼뿽뿾뿿쀀쀁쀂쀃쀄쀅쀆쀇쀈쀉쀊쀋쀌쀍쀎쀏쀐쀑쀒쀓쀔쀕쀖쀗쀘쀙쀚쀛쀜쀝쀞쀟쀠쀡쀢쀣쀤쀥쀦쀧쀨쀩쀪쀫쀬쀭쀮쀯쀰쀱쀲쀳쀴쀵쀶쀷쀸쀹쀺쀻쀽쀾쀿�".split(""),e=0;e!=r[151].length;++e)65533!==r[151][e].charCodeAt(0)&&(n[r[151][e]]=38656+e,t[38656+e]=r[151][e]);for(r[152]="�����������������������������������������������������������������쁀쁁쁂쁃쁄쁅쁆쁇쁈쁉쁊쁋쁌쁍쁎쁏쁐쁒쁓쁔쁕쁖쁗쁙쁚쁛������쁝쁞쁟쁡쁢쁣쁤쁥쁦쁧쁪쁫쁬쁭쁮쁯쁰쁱쁲쁳쁴쁵쁶쁷쁸쁹������쁺쁻쁼쁽쁾쁿삀삁삂삃삄삅삆삇삈삉삊삋삌삍삎삏삒삓삕삖삗삙삚삛삜삝삞삟삢삤삦삧삨삩삪삫삮삱삲삷삸삹삺삻삾샂샃샄샆샇샊샋샍샎샏샑샒샓샔샕샖샗샚샞샟샠샡샢샣샦샧샩샪샫샭샮샯샰샱샲샳샶샸샺샻샼샽샾샿섁섂섃섅섆섇섉섊섋섌섍섎섏섑섒섓섔섖섗섘섙섚섛섡섢섥섨섩섪섫섮�".split(""),e=0;e!=r[152].length;++e)65533!==r[152][e].charCodeAt(0)&&(n[r[152][e]]=38912+e,t[38912+e]=r[152][e]);for(r[153]="�����������������������������������������������������������������섲섳섴섵섷섺섻섽섾섿셁셂셃셄셅셆셇셊셎셏셐셑셒셓셖셗������셙셚셛셝셞셟셠셡셢셣셦셪셫셬셭셮셯셱셲셳셵셶셷셹셺셻������셼셽셾셿솀솁솂솃솄솆솇솈솉솊솋솏솑솒솓솕솗솘솙솚솛솞솠솢솣솤솦솧솪솫솭솮솯솱솲솳솴솵솶솷솸솹솺솻솼솾솿쇀쇁쇂쇃쇅쇆쇇쇉쇊쇋쇍쇎쇏쇐쇑쇒쇓쇕쇖쇙쇚쇛쇜쇝쇞쇟쇡쇢쇣쇥쇦쇧쇩쇪쇫쇬쇭쇮쇯쇲쇴쇵쇶쇷쇸쇹쇺쇻쇾쇿숁숂숃숅숆숇숈숉숊숋숎숐숒숓숔숕숖숗숚숛숝숞숡숢숣�".split(""),e=0;e!=r[153].length;++e)65533!==r[153][e].charCodeAt(0)&&(n[r[153][e]]=39168+e,t[39168+e]=r[153][e]);for(r[154]="�����������������������������������������������������������������숤숥숦숧숪숬숮숰숳숵숶숷숸숹숺숻숼숽숾숿쉀쉁쉂쉃쉄쉅������쉆쉇쉉쉊쉋쉌쉍쉎쉏쉒쉓쉕쉖쉗쉙쉚쉛쉜쉝쉞쉟쉡쉢쉣쉤쉦������쉧쉨쉩쉪쉫쉮쉯쉱쉲쉳쉵쉶쉷쉸쉹쉺쉻쉾슀슂슃슄슅슆슇슊슋슌슍슎슏슑슒슓슔슕슖슗슙슚슜슞슟슠슡슢슣슦슧슩슪슫슮슯슰슱슲슳슶슸슺슻슼슽슾슿싀싁싂싃싄싅싆싇싈싉싊싋싌싍싎싏싐싑싒싓싔싕싖싗싘싙싚싛싞싟싡싢싥싦싧싨싩싪싮싰싲싳싴싵싷싺싽싾싿쌁쌂쌃쌄쌅쌆쌇쌊쌋쌎쌏�".split(""),e=0;e!=r[154].length;++e)65533!==r[154][e].charCodeAt(0)&&(n[r[154][e]]=39424+e,t[39424+e]=r[154][e]);for(r[155]="�����������������������������������������������������������������쌐쌑쌒쌖쌗쌙쌚쌛쌝쌞쌟쌠쌡쌢쌣쌦쌧쌪쌫쌬쌭쌮쌯쌰쌱쌲������쌳쌴쌵쌶쌷쌸쌹쌺쌻쌼쌽쌾쌿썀썁썂썃썄썆썇썈썉썊썋썌썍������썎썏썐썑썒썓썔썕썖썗썘썙썚썛썜썝썞썟썠썡썢썣썤썥썦썧썪썫썭썮썯썱썳썴썵썶썷썺썻썾썿쎀쎁쎂쎃쎅쎆쎇쎉쎊쎋쎍쎎쎏쎐쎑쎒쎓쎔쎕쎖쎗쎘쎙쎚쎛쎜쎝쎞쎟쎠쎡쎢쎣쎤쎥쎦쎧쎨쎩쎪쎫쎬쎭쎮쎯쎰쎱쎲쎳쎴쎵쎶쎷쎸쎹쎺쎻쎼쎽쎾쎿쏁쏂쏃쏄쏅쏆쏇쏈쏉쏊쏋쏌쏍쏎쏏쏐쏑쏒쏓쏔쏕쏖쏗쏚�".split(""),e=0;e!=r[155].length;++e)65533!==r[155][e].charCodeAt(0)&&(n[r[155][e]]=39680+e,t[39680+e]=r[155][e]);for(r[156]="�����������������������������������������������������������������쏛쏝쏞쏡쏣쏤쏥쏦쏧쏪쏫쏬쏮쏯쏰쏱쏲쏳쏶쏷쏹쏺쏻쏼쏽쏾������쏿쐀쐁쐂쐃쐄쐅쐆쐇쐉쐊쐋쐌쐍쐎쐏쐑쐒쐓쐔쐕쐖쐗쐘쐙쐚������쐛쐜쐝쐞쐟쐠쐡쐢쐣쐥쐦쐧쐨쐩쐪쐫쐭쐮쐯쐱쐲쐳쐵쐶쐷쐸쐹쐺쐻쐾쐿쑀쑁쑂쑃쑄쑅쑆쑇쑉쑊쑋쑌쑍쑎쑏쑐쑑쑒쑓쑔쑕쑖쑗쑘쑙쑚쑛쑜쑝쑞쑟쑠쑡쑢쑣쑦쑧쑩쑪쑫쑭쑮쑯쑰쑱쑲쑳쑶쑷쑸쑺쑻쑼쑽쑾쑿쒁쒂쒃쒄쒅쒆쒇쒈쒉쒊쒋쒌쒍쒎쒏쒐쒑쒒쒓쒕쒖쒗쒘쒙쒚쒛쒝쒞쒟쒠쒡쒢쒣쒤쒥쒦쒧쒨쒩�".split(""),e=0;e!=r[156].length;++e)65533!==r[156][e].charCodeAt(0)&&(n[r[156][e]]=39936+e,t[39936+e]=r[156][e]);for(r[157]="�����������������������������������������������������������������쒪쒫쒬쒭쒮쒯쒰쒱쒲쒳쒴쒵쒶쒷쒹쒺쒻쒽쒾쒿쓀쓁쓂쓃쓄쓅������쓆쓇쓈쓉쓊쓋쓌쓍쓎쓏쓐쓑쓒쓓쓔쓕쓖쓗쓘쓙쓚쓛쓜쓝쓞쓟������쓠쓡쓢쓣쓤쓥쓦쓧쓨쓪쓫쓬쓭쓮쓯쓲쓳쓵쓶쓷쓹쓻쓼쓽쓾씂씃씄씅씆씇씈씉씊씋씍씎씏씑씒씓씕씖씗씘씙씚씛씝씞씟씠씡씢씣씤씥씦씧씪씫씭씮씯씱씲씳씴씵씶씷씺씼씾씿앀앁앂앃앆앇앋앏앐앑앒앖앚앛앜앟앢앣앥앦앧앩앪앫앬앭앮앯앲앶앷앸앹앺앻앾앿얁얂얃얅얆얈얉얊얋얎얐얒얓얔�".split(""),e=0;e!=r[157].length;++e)65533!==r[157][e].charCodeAt(0)&&(n[r[157][e]]=40192+e,t[40192+e]=r[157][e]);for(r[158]="�����������������������������������������������������������������얖얙얚얛얝얞얟얡얢얣얤얥얦얧얨얪얫얬얭얮얯얰얱얲얳얶������얷얺얿엀엁엂엃엋엍엏엒엓엕엖엗엙엚엛엜엝엞엟엢엤엦엧������엨엩엪엫엯엱엲엳엵엸엹엺엻옂옃옄옉옊옋옍옎옏옑옒옓옔옕옖옗옚옝옞옟옠옡옢옣옦옧옩옪옫옯옱옲옶옸옺옼옽옾옿왂왃왅왆왇왉왊왋왌왍왎왏왒왖왗왘왙왚왛왞왟왡왢왣왤왥왦왧왨왩왪왫왭왮왰왲왳왴왵왶왷왺왻왽왾왿욁욂욃욄욅욆욇욊욌욎욏욐욑욒욓욖욗욙욚욛욝욞욟욠욡욢욣욦�".split(""),e=0;e!=r[158].length;++e)65533!==r[158][e].charCodeAt(0)&&(n[r[158][e]]=40448+e,t[40448+e]=r[158][e]);for(r[159]="�����������������������������������������������������������������욨욪욫욬욭욮욯욲욳욵욶욷욻욼욽욾욿웂웄웆웇웈웉웊웋웎������웏웑웒웓웕웖웗웘웙웚웛웞웟웢웣웤웥웦웧웪웫웭웮웯웱웲������웳웴웵웶웷웺웻웼웾웿윀윁윂윃윆윇윉윊윋윍윎윏윐윑윒윓윖윘윚윛윜윝윞윟윢윣윥윦윧윩윪윫윬윭윮윯윲윴윶윸윹윺윻윾윿읁읂읃읅읆읇읈읉읋읎읐읙읚읛읝읞읟읡읢읣읤읥읦읧읩읪읬읭읮읯읰읱읲읳읶읷읹읺읻읿잀잁잂잆잋잌잍잏잒잓잕잙잛잜잝잞잟잢잧잨잩잪잫잮잯잱잲잳잵잶잷�".split(""),e=0;e!=r[159].length;++e)65533!==r[159][e].charCodeAt(0)&&(n[r[159][e]]=40704+e,t[40704+e]=r[159][e]);for(r[160]="�����������������������������������������������������������������잸잹잺잻잾쟂쟃쟄쟅쟆쟇쟊쟋쟍쟏쟑쟒쟓쟔쟕쟖쟗쟙쟚쟛쟜������쟞쟟쟠쟡쟢쟣쟥쟦쟧쟩쟪쟫쟭쟮쟯쟰쟱쟲쟳쟴쟵쟶쟷쟸쟹쟺������쟻쟼쟽쟾쟿젂젃젅젆젇젉젋젌젍젎젏젒젔젗젘젙젚젛젞젟젡젢젣젥젦젧젨젩젪젫젮젰젲젳젴젵젶젷젹젺젻젽젾젿졁졂졃졄졅졆졇졊졋졎졏졐졑졒졓졕졖졗졘졙졚졛졜졝졞졟졠졡졢졣졤졥졦졧졨졩졪졫졬졭졮졯졲졳졵졶졷졹졻졼졽졾졿좂좄좈좉좊좎좏좐좑좒좓좕좖좗좘좙좚좛좜좞좠좢좣좤�".split(""),e=0;e!=r[160].length;++e)65533!==r[160][e].charCodeAt(0)&&(n[r[160][e]]=40960+e,t[40960+e]=r[160][e]);for(r[161]="�����������������������������������������������������������������좥좦좧좩좪좫좬좭좮좯좰좱좲좳좴좵좶좷좸좹좺좻좾좿죀죁������죂죃죅죆죇죉죊죋죍죎죏죐죑죒죓죖죘죚죛죜죝죞죟죢죣죥������죦죧죨죩죪죫죬죭죮죯죰죱죲죳죴죶죷죸죹죺죻죾죿줁줂줃줇줈줉줊줋줎　、。·‥…¨〃­―∥＼∼‘’“”〔〕〈〉《》「」『』【】±×÷≠≤≥∞∴°′″℃Å￠￡￥♂♀∠⊥⌒∂∇≡≒§※☆★○●◎◇◆□■△▲▽▼→←↑↓↔〓≪≫√∽∝∵∫∬∈∋⊆⊇⊂⊃∪∩∧∨￢�".split(""),e=0;e!=r[161].length;++e)65533!==r[161][e].charCodeAt(0)&&(n[r[161][e]]=41216+e,t[41216+e]=r[161][e]);for(r[162]="�����������������������������������������������������������������줐줒줓줔줕줖줗줙줚줛줜줝줞줟줠줡줢줣줤줥줦줧줨줩줪줫������줭줮줯줰줱줲줳줵줶줷줸줹줺줻줼줽줾줿쥀쥁쥂쥃쥄쥅쥆쥇������쥈쥉쥊쥋쥌쥍쥎쥏쥒쥓쥕쥖쥗쥙쥚쥛쥜쥝쥞쥟쥢쥤쥥쥦쥧쥨쥩쥪쥫쥭쥮쥯⇒⇔∀∃´～ˇ˘˝˚˙¸˛¡¿ː∮∑∏¤℉‰◁◀▷▶♤♠♡♥♧♣⊙◈▣◐◑▒▤▥▨▧▦▩♨☏☎☜☞¶†‡↕↗↙↖↘♭♩♪♬㉿㈜№㏇™㏂㏘℡€®������������������������".split(""),e=0;e!=r[162].length;++e)65533!==r[162][e].charCodeAt(0)&&(n[r[162][e]]=41472+e,t[41472+e]=r[162][e]);for(r[163]="�����������������������������������������������������������������쥱쥲쥳쥵쥶쥷쥸쥹쥺쥻쥽쥾쥿즀즁즂즃즄즅즆즇즊즋즍즎즏������즑즒즓즔즕즖즗즚즜즞즟즠즡즢즣즤즥즦즧즨즩즪즫즬즭즮������즯즰즱즲즳즴즵즶즷즸즹즺즻즼즽즾즿짂짃짅짆짉짋짌짍짎짏짒짔짗짘짛！＂＃＄％＆＇（）＊＋，－．／０１２３４５６７８９：；＜＝＞？＠ＡＢＣＤＥＦＧＨＩＪＫＬＭＮＯＰＱＲＳＴＵＶＷＸＹＺ［￦］＾＿｀ａｂｃｄｅｆｇｈｉｊｋｌｍｎｏｐｑｒｓｔｕｖｗｘｙｚ｛｜｝￣�".split(""),e=0;e!=r[163].length;++e)65533!==r[163][e].charCodeAt(0)&&(n[r[163][e]]=41728+e,t[41728+e]=r[163][e]);for(r[164]="�����������������������������������������������������������������짞짟짡짣짥짦짨짩짪짫짮짲짳짴짵짶짷짺짻짽짾짿쨁쨂쨃쨄������쨅쨆쨇쨊쨎쨏쨐쨑쨒쨓쨕쨖쨗쨙쨚쨛쨜쨝쨞쨟쨠쨡쨢쨣쨤쨥������쨦쨧쨨쨪쨫쨬쨭쨮쨯쨰쨱쨲쨳쨴쨵쨶쨷쨸쨹쨺쨻쨼쨽쨾쨿쩀쩁쩂쩃쩄쩅쩆ㄱㄲㄳㄴㄵㄶㄷㄸㄹㄺㄻㄼㄽㄾㄿㅀㅁㅂㅃㅄㅅㅆㅇㅈㅉㅊㅋㅌㅍㅎㅏㅐㅑㅒㅓㅔㅕㅖㅗㅘㅙㅚㅛㅜㅝㅞㅟㅠㅡㅢㅣㅤㅥㅦㅧㅨㅩㅪㅫㅬㅭㅮㅯㅰㅱㅲㅳㅴㅵㅶㅷㅸㅹㅺㅻㅼㅽㅾㅿㆀㆁㆂㆃㆄㆅㆆㆇㆈㆉㆊㆋㆌㆍㆎ�".split(""),e=0;e!=r[164].length;++e)65533!==r[164][e].charCodeAt(0)&&(n[r[164][e]]=41984+e,t[41984+e]=r[164][e]);for(r[165]="�����������������������������������������������������������������쩇쩈쩉쩊쩋쩎쩏쩑쩒쩓쩕쩖쩗쩘쩙쩚쩛쩞쩢쩣쩤쩥쩦쩧쩩쩪������쩫쩬쩭쩮쩯쩰쩱쩲쩳쩴쩵쩶쩷쩸쩹쩺쩻쩼쩾쩿쪀쪁쪂쪃쪅쪆������쪇쪈쪉쪊쪋쪌쪍쪎쪏쪐쪑쪒쪓쪔쪕쪖쪗쪙쪚쪛쪜쪝쪞쪟쪠쪡쪢쪣쪤쪥쪦쪧ⅰⅱⅲⅳⅴⅵⅶⅷⅸⅹ�����ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩ�������ΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡΣΤΥΦΧΨΩ��������αβγδεζηθικλμνξοπρστυφχψω�������".split(""),e=0;e!=r[165].length;++e)65533!==r[165][e].charCodeAt(0)&&(n[r[165][e]]=42240+e,t[42240+e]=r[165][e]);for(r[166]="�����������������������������������������������������������������쪨쪩쪪쪫쪬쪭쪮쪯쪰쪱쪲쪳쪴쪵쪶쪷쪸쪹쪺쪻쪾쪿쫁쫂쫃쫅������쫆쫇쫈쫉쫊쫋쫎쫐쫒쫔쫕쫖쫗쫚쫛쫜쫝쫞쫟쫡쫢쫣쫤쫥쫦쫧������쫨쫩쫪쫫쫭쫮쫯쫰쫱쫲쫳쫵쫶쫷쫸쫹쫺쫻쫼쫽쫾쫿쬀쬁쬂쬃쬄쬅쬆쬇쬉쬊─│┌┐┘└├┬┤┴┼━┃┏┓┛┗┣┳┫┻╋┠┯┨┷┿┝┰┥┸╂┒┑┚┙┖┕┎┍┞┟┡┢┦┧┩┪┭┮┱┲┵┶┹┺┽┾╀╁╃╄╅╆╇╈╉╊���������������������������".split(""),e=0;e!=r[166].length;++e)65533!==r[166][e].charCodeAt(0)&&(n[r[166][e]]=42496+e,t[42496+e]=r[166][e]);for(r[167]="�����������������������������������������������������������������쬋쬌쬍쬎쬏쬑쬒쬓쬕쬖쬗쬙쬚쬛쬜쬝쬞쬟쬢쬣쬤쬥쬦쬧쬨쬩������쬪쬫쬬쬭쬮쬯쬰쬱쬲쬳쬴쬵쬶쬷쬸쬹쬺쬻쬼쬽쬾쬿쭀쭂쭃쭄������쭅쭆쭇쭊쭋쭍쭎쭏쭑쭒쭓쭔쭕쭖쭗쭚쭛쭜쭞쭟쭠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c=8+(r.w_bits-8<<4)<<8;c|=(r.strategy>=2||r.level<2?0:r.level<6?1:6===r.level?2:3)<<6,0!==r.strstart&&(c|=32),c+=31-c%31,r.status=f,w(r,c),0!==r.strstart&&(w(r,e.adler>>>16),w(r,65535&e.adler)),e.adler=1}if(69===r.status)if(r.gzhead.extra){for(s=r.pending;r.gzindex<(65535&r.gzhead.extra.length)&&(r.pending!==r.pending_buf_size||(r.gzhead.hcrc&&r.pending>s&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),y(e),s=r.pending,r.pending!==r.pending_buf_size));)v(r,255&r.gzhead.extra[r.gzindex]),r.gzindex++;r.gzhead.hcrc&&r.pending>s&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),r.gzindex===r.gzhead.extra.length&&(r.gzindex=0,r.status=73)}else r.status=73;if(73===r.status)if(r.gzhead.name){s=r.pending;do{if(r.pending===r.pending_buf_size&&(r.gzhead.hcrc&&r.pending>s&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),y(e),s=r.pending,r.pending===r.pending_buf_size)){o=1;break}o=r.gzindexs&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),0===o&&(r.gzindex=0,r.status=91)}else r.status=91;if(91===r.status)if(r.gzhead.comment){s=r.pending;do{if(r.pending===r.pending_buf_size&&(r.gzhead.hcrc&&r.pending>s&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),y(e),s=r.pending,r.pending===r.pending_buf_size)){o=1;break}o=r.gzindexs&&(e.adler=i(e.adler,r.pending_buf,r.pending-s,s)),0===o&&(r.status=h)}else r.status=h;if(r.status===h&&(r.gzhead.hcrc?(r.pending+2>r.pending_buf_size&&y(e),r.pending+2<=r.pending_buf_size&&(v(r,255&e.adler),v(r,e.adler>>8&255),e.adler=0,r.status=f)):r.status=f),0!==r.pending){if(y(e),0===e.avail_out)return r.last_flush=-1,0}else if(0===e.avail_in&&m(t)<=m(n)&&4!==t)return p(e,-5);if(r.status===d&&0!==e.avail_in)return p(e,-5);if(0!==e.avail_in||0!==r.lookahead||0!==t&&r.status!==d){var _=2===r.strategy?function(e,t){for(var n;;){if(0===e.lookahead&&(x(e),0===e.lookahead)){if(0===t)return 1;break}if(e.match_length=0,n=a._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(b(e,!1),0===e.strm.avail_out))return 1}return e.insert=0,4===t?(b(e,!0),0===e.strm.avail_out?3:4):e.last_lit&&(b(e,!1),0===e.strm.avail_out)?1:2}(r,t):3===r.strategy?function(e,t){for(var n,r,s,i,o=e.window;;){if(e.lookahead<=u){if(x(e),e.lookahead<=u&&0===t)return 1;if(0===e.lookahead)break}if(e.match_length=0,e.lookahead>=3&&e.strstart>0&&(r=o[s=e.strstart-1])===o[++s]&&r===o[++s]&&r===o[++s]){i=e.strstart+u;do{}while(r===o[++s]&&r===o[++s]&&r===o[++s]&&r===o[++s]&&r===o[++s]&&r===o[++s]&&r===o[++s]&&r===o[++s]&&se.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=3?(n=a._tr_tally(e,1,e.match_length-3),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=a._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(b(e,!1),0===e.strm.avail_out))return 1}return e.insert=0,4===t?(b(e,!0),0===e.strm.avail_out?3:4):e.last_lit&&(b(e,!1),0===e.strm.avail_out)?1:2}(r,t):C[r.level].func(r,t);if(3!==_&&4!==_||(r.status=d),1===_||3===_)return 0===e.avail_out&&(r.last_flush=-1),0;if(2===_&&(1===t?a._tr_align(r):5!==t&&(a._tr_stored_block(r,0,0,!1),3===t&&(g(r.head),0===r.lookahead&&(r.strstart=0,r.block_start=0,r.insert=0))),y(e),0===e.avail_out))return r.last_flush=-1,0}return 4!==t?0:r.wrap<=0?1:(2===r.wrap?(v(r,255&e.adler),v(r,e.adler>>8&255),v(r,e.adler>>16&255),v(r,e.adler>>24&255),v(r,255&e.total_in),v(r,e.total_in>>8&255),v(r,e.total_in>>16&255),v(r,e.total_in>>24&255)):(w(r,e.adler>>>16),w(r,65535&e.adler)),y(e),r.wrap>0&&(r.wrap=-r.wrap),0!==r.pending?0:1)},n.deflateEnd=function(e){var t;return e&&e.state?42!==(t=e.state.status)&&69!==t&&73!==t&&91!==t&&t!==h&&t!==f&&t!==d?p(e,l):(e.state=null,t===f?p(e,-3):0):l},n.deflateInfo="pako deflate (from Nodeca project)"},{"../utils/common":27,"./adler32":29,"./crc32":31,"./messages":37,"./trees":38}],33:[function(e,t,n){"use strict";t.exports=function(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}},{}],34:[function(e,t,n){"use strict";t.exports=function(e,t){var n,r,a,s,i,o,l,u,c,h,f,d,p,m,g,y,b,v,w,_,x,k,E,C,S;n=e.state,r=e.next_in,C=e.input,a=r+(e.avail_in-5),s=e.next_out,S=e.output,i=s-(t-e.avail_out),o=s+(e.avail_out-257),l=n.dmax,u=n.wsize,c=n.whave,h=n.wnext,f=n.window,d=n.hold,p=n.bits,m=n.lencode,g=n.distcode,y=(1<>>=w=v>>>24,p-=w,0==(w=v>>>16&255))S[s++]=65535&v;else{if(!(16&w)){if(0==(64&w)){v=m[(65535&v)+(d&(1<>>=w,p-=w),p<15&&(d+=C[r++]<>>=w=v>>>24,p-=w,!(16&(w=v>>>16&255))){if(0==(64&w)){v=g[(65535&v)+(d&(1<l){e.msg="invalid distance too far back",n.mode=30;break e}if(d>>>=w,p-=w,x>(w=s-i)){if((w=x-w)>c&&n.sane){e.msg="invalid distance too far back",n.mode=30;break e}if(k=0,E=f,0===h){if(k+=u-w,w<_){_-=w;do{S[s++]=f[k++]}while(--w);k=s-x,E=S}}else if(h2;)S[s++]=E[k++],S[s++]=E[k++],S[s++]=E[k++],_-=3;_&&(S[s++]=E[k++],_>1&&(S[s++]=E[k++]))}else{k=s-x;do{S[s++]=S[k++],S[s++]=S[k++],S[s++]=S[k++],_-=3}while(_>2);_&&(S[s++]=S[k++],_>1&&(S[s++]=S[k++]))}break}}break}}while(r>3,d&=(1<<(p-=_<<3))-1,e.next_in=r,e.next_out=s,e.avail_in=r>>24&255)+(e>>>8&65280)+((65280&e)<<8)+((255&e)<<24)}function f(){this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new r.Buf16(320),this.work=new r.Buf16(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}function d(e){var t;return e&&e.state?(t=e.state,e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=1&t.wrap),t.mode=1,t.last=0,t.havedict=0,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new r.Buf32(852),t.distcode=t.distdyn=new r.Buf32(592),t.sane=1,t.back=-1,0):l}function p(e){var t;return e&&e.state?((t=e.state).wsize=0,t.whave=0,t.wnext=0,d(e)):l}function m(e,t){var n,r;return e&&e.state?(r=e.state,t<0?(n=0,t=-t):(n=1+(t>>4),t<48&&(t&=15)),t&&(t<8||t>15)?l:(null!==r.window&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,p(e))):l}function g(e,t){var n,r;return e?(r=new f,e.state=r,r.window=null,0!==(n=m(e,t))&&(e.state=null),n):l}var y,b,v=!0;function w(e){if(v){var t;for(y=new r.Buf32(512),b=new r.Buf32(32),t=0;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(o(1,e.lens,0,288,y,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;o(2,e.lens,0,32,b,0,e.work,{bits:5}),v=!1}e.lencode=y,e.lenbits=9,e.distcode=b,e.distbits=5}n.inflateReset=p,n.inflateReset2=m,n.inflateResetKeep=d,n.inflateInit=function(e){return g(e,15)},n.inflateInit2=g,n.inflate=function(e,t){var n,f,d,p,m,g,y,b,v,_,x,k,E,C,S,N,I,A,D,T,F,R,O,M,B=0,$=new r.Buf8(4),P=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];if(!e||!e.state||!e.output||!e.input&&0!==e.avail_in)return l;(n=e.state).mode===u&&(n.mode=13),m=e.next_out,d=e.output,y=e.avail_out,p=e.next_in,f=e.input,g=e.avail_in,b=n.hold,v=n.bits,_=g,x=y,R=0;e:for(;;)switch(n.mode){case 1:if(0===n.wrap){n.mode=13;break}for(;v<16;){if(0===g)break e;g--,b+=f[p++]<>>8&255,n.check=s(n.check,$,2,0),b=0,v=0,n.mode=2;break}if(n.flags=0,n.head&&(n.head.done=!1),!(1&n.wrap)||(((255&b)<<8)+(b>>8))%31){e.msg="incorrect header check",n.mode=c;break}if(8!=(15&b)){e.msg="unknown compression method",n.mode=c;break}if(v-=4,F=8+(15&(b>>>=4)),0===n.wbits)n.wbits=F;else if(F>n.wbits){e.msg="invalid window size",n.mode=c;break}n.dmax=1<>8&1),512&n.flags&&($[0]=255&b,$[1]=b>>>8&255,n.check=s(n.check,$,2,0)),b=0,v=0,n.mode=3;case 3:for(;v<32;){if(0===g)break e;g--,b+=f[p++]<>>8&255,$[2]=b>>>16&255,$[3]=b>>>24&255,n.check=s(n.check,$,4,0)),b=0,v=0,n.mode=4;case 4:for(;v<16;){if(0===g)break e;g--,b+=f[p++]<>8),512&n.flags&&($[0]=255&b,$[1]=b>>>8&255,n.check=s(n.check,$,2,0)),b=0,v=0,n.mode=5;case 5:if(1024&n.flags){for(;v<16;){if(0===g)break e;g--,b+=f[p++]<>>8&255,n.check=s(n.check,$,2,0)),b=0,v=0}else n.head&&(n.head.extra=null);n.mode=6;case 6:if(1024&n.flags&&((k=n.length)>g&&(k=g),k&&(n.head&&(F=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Array(n.head.extra_len)),r.arraySet(n.head.extra,f,p,k,F)),512&n.flags&&(n.check=s(n.check,f,k,p)),g-=k,p+=k,n.length-=k),n.length))break e;n.length=0,n.mode=7;case 7:if(2048&n.flags){if(0===g)break e;k=0;do{F=f[p+k++],n.head&&F&&n.length<65536&&(n.head.name+=String.fromCharCode(F))}while(F&&k>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=u;break;case 10:for(;v<32;){if(0===g)break e;g--,b+=f[p++]<>>=7&v,v-=7&v,n.mode=27;break}for(;v<3;){if(0===g)break e;g--,b+=f[p++]<>>=1)){case 0:n.mode=14;break;case 1:if(w(n),n.mode=20,6===t){b>>>=2,v-=2;break e}break;case 2:n.mode=17;break;case 3:e.msg="invalid block type",n.mode=c}b>>>=2,v-=2;break;case 14:for(b>>>=7&v,v-=7&v;v<32;){if(0===g)break e;g--,b+=f[p++]<>>16^65535)){e.msg="invalid stored block lengths",n.mode=c;break}if(n.length=65535&b,b=0,v=0,n.mode=15,6===t)break e;case 15:n.mode=16;case 16:if(k=n.length){if(k>g&&(k=g),k>y&&(k=y),0===k)break e;r.arraySet(d,f,p,k,m),g-=k,p+=k,y-=k,m+=k,n.length-=k;break}n.mode=u;break;case 17:for(;v<14;){if(0===g)break e;g--,b+=f[p++]<>>=5,v-=5,n.ndist=1+(31&b),b>>>=5,v-=5,n.ncode=4+(15&b),b>>>=4,v-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=c;break}n.have=0,n.mode=18;case 18:for(;n.have>>=3,v-=3}for(;n.have<19;)n.lens[P[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,O={bits:n.lenbits},R=o(0,n.lens,0,19,n.lencode,0,n.work,O),n.lenbits=O.bits,R){e.msg="invalid code lengths set",n.mode=c;break}n.have=0,n.mode=19;case 19:for(;n.have>>16&255,I=65535&B,!((S=B>>>24)<=v);){if(0===g)break e;g--,b+=f[p++]<>>=S,v-=S,n.lens[n.have++]=I;else{if(16===I){for(M=S+2;v>>=S,v-=S,0===n.have){e.msg="invalid bit length repeat",n.mode=c;break}F=n.lens[n.have-1],k=3+(3&b),b>>>=2,v-=2}else if(17===I){for(M=S+3;v>>=S)),b>>>=3,v-=3}else{for(M=S+7;v>>=S)),b>>>=7,v-=7}if(n.have+k>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=c;break}for(;k--;)n.lens[n.have++]=F}}if(n.mode===c)break;if(0===n.lens[256]){e.msg="invalid code -- missing end-of-block",n.mode=c;break}if(n.lenbits=9,O={bits:n.lenbits},R=o(1,n.lens,0,n.nlen,n.lencode,0,n.work,O),n.lenbits=O.bits,R){e.msg="invalid literal/lengths set",n.mode=c;break}if(n.distbits=6,n.distcode=n.distdyn,O={bits:n.distbits},R=o(2,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,O),n.distbits=O.bits,R){e.msg="invalid distances set",n.mode=c;break}if(n.mode=20,6===t)break e;case 20:n.mode=21;case 21:if(g>=6&&y>=258){e.next_out=m,e.avail_out=y,e.next_in=p,e.avail_in=g,n.hold=b,n.bits=v,i(e,x),m=e.next_out,d=e.output,y=e.avail_out,p=e.next_in,f=e.input,g=e.avail_in,b=n.hold,v=n.bits,n.mode===u&&(n.back=-1);break}for(n.back=0;N=(B=n.lencode[b&(1<>>16&255,I=65535&B,!((S=B>>>24)<=v);){if(0===g)break e;g--,b+=f[p++]<>A)])>>>16&255,I=65535&B,!(A+(S=B>>>24)<=v);){if(0===g)break e;g--,b+=f[p++]<>>=A,v-=A,n.back+=A}if(b>>>=S,v-=S,n.back+=S,n.length=I,0===N){n.mode=26;break}if(32&N){n.back=-1,n.mode=u;break}if(64&N){e.msg="invalid literal/length code",n.mode=c;break}n.extra=15&N,n.mode=22;case 22:if(n.extra){for(M=n.extra;v>>=n.extra,v-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=23;case 23:for(;N=(B=n.distcode[b&(1<>>16&255,I=65535&B,!((S=B>>>24)<=v);){if(0===g)break e;g--,b+=f[p++]<>A)])>>>16&255,I=65535&B,!(A+(S=B>>>24)<=v);){if(0===g)break e;g--,b+=f[p++]<>>=A,v-=A,n.back+=A}if(b>>>=S,v-=S,n.back+=S,64&N){e.msg="invalid distance code",n.mode=c;break}n.offset=I,n.extra=15&N,n.mode=24;case 24:if(n.extra){for(M=n.extra;v>>=n.extra,v-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=c;break}n.mode=25;case 25:if(0===y)break e;if(k=x-y,n.offset>k){if((k=n.offset-k)>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=c;break}k>n.wnext?(k-=n.wnext,E=n.wsize-k):E=n.wnext-k,k>n.length&&(k=n.length),C=n.window}else C=d,E=m-n.offset,k=n.length;k>y&&(k=y),y-=k,n.length-=k;do{d[m++]=C[E++]}while(--k);0===n.length&&(n.mode=21);break;case 26:if(0===y)break e;d[m++]=n.length,y--,n.mode=21;break;case 27:if(n.wrap){for(;v<32;){if(0===g)break 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Object.setPrototypeOf ? Object.getPrototypeOf : function _getPrototypeOf(o) {\n return o.__proto__ || Object.getPrototypeOf(o);\n };\n return _getPrototypeOf(o);\n}\n\nmodule.exports = _getPrototypeOf;","var setPrototypeOf = require(\"./setPrototypeOf\");\n\nfunction _inherits(subClass, superClass) {\n if (typeof superClass !== \"function\" && superClass !== null) {\n throw new TypeError(\"Super expression must either be null or a function\");\n }\n\n subClass.prototype = Object.create(superClass && superClass.prototype, {\n constructor: {\n value: subClass,\n writable: true,\n configurable: true\n }\n });\n if (superClass) setPrototypeOf(subClass, superClass);\n}\n\nmodule.exports = _inherits;","function _iterableToArray(iter) {\n if (typeof Symbol !== \"undefined\" && Symbol.iterator in Object(iter)) return Array.from(iter);\n}\n\nmodule.exports = _iterableToArray;","function _iterableToArrayLimit(arr, i) {\n if (typeof Symbol === \"undefined\" || !(Symbol.iterator in Object(arr))) return;\n var _arr = [];\n var _n = true;\n var _d = false;\n var _e = undefined;\n\n try {\n for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) {\n _arr.push(_s.value);\n\n if (i && _arr.length === i) break;\n }\n } catch (err) {\n _d = true;\n _e = err;\n } finally {\n try {\n if (!_n && _i[\"return\"] != null) _i[\"return\"]();\n } finally {\n if (_d) throw _e;\n }\n }\n\n return _arr;\n}\n\nmodule.exports = _iterableToArrayLimit;","function _nonIterableRest() {\n throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}\n\nmodule.exports = _nonIterableRest;","function _nonIterableSpread() {\n throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}\n\nmodule.exports = _nonIterableSpread;","var _typeof = require(\"@babel/runtime/helpers/typeof\");\n\nvar assertThisInitialized = require(\"./assertThisInitialized\");\n\nfunction _possibleConstructorReturn(self, call) {\n if (call && (_typeof(call) === \"object\" || typeof call === \"function\")) {\n return call;\n }\n\n return assertThisInitialized(self);\n}\n\nmodule.exports = _possibleConstructorReturn;","function _setPrototypeOf(o, p) {\n module.exports = _setPrototypeOf = Object.setPrototypeOf || function _setPrototypeOf(o, p) {\n o.__proto__ = p;\n return o;\n };\n\n return _setPrototypeOf(o, p);\n}\n\nmodule.exports = _setPrototypeOf;","var arrayWithHoles = require(\"./arrayWithHoles\");\n\nvar iterableToArrayLimit = require(\"./iterableToArrayLimit\");\n\nvar unsupportedIterableToArray = require(\"./unsupportedIterableToArray\");\n\nvar nonIterableRest = require(\"./nonIterableRest\");\n\nfunction _slicedToArray(arr, i) {\n return arrayWithHoles(arr) || iterableToArrayLimit(arr, i) || unsupportedIterableToArray(arr, i) || nonIterableRest();\n}\n\nmodule.exports = _slicedToArray;","var getPrototypeOf = require(\"./getPrototypeOf\");\n\nfunction _superPropBase(object, property) {\n while (!Object.prototype.hasOwnProperty.call(object, property)) {\n object = getPrototypeOf(object);\n if (object === null) break;\n }\n\n return object;\n}\n\nmodule.exports = _superPropBase;","var arrayWithoutHoles = require(\"./arrayWithoutHoles\");\n\nvar iterableToArray = require(\"./iterableToArray\");\n\nvar unsupportedIterableToArray = require(\"./unsupportedIterableToArray\");\n\nvar nonIterableSpread = require(\"./nonIterableSpread\");\n\nfunction _toConsumableArray(arr) {\n return arrayWithoutHoles(arr) || iterableToArray(arr) || unsupportedIterableToArray(arr) || nonIterableSpread();\n}\n\nmodule.exports = _toConsumableArray;","function _typeof(obj) {\n \"@babel/helpers - typeof\";\n\n if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") {\n module.exports = _typeof = function _typeof(obj) {\n return typeof obj;\n };\n } else {\n module.exports = _typeof = function _typeof(obj) {\n return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n };\n }\n\n return _typeof(obj);\n}\n\nmodule.exports = _typeof;","var arrayLikeToArray = require(\"./arrayLikeToArray\");\n\nfunction _unsupportedIterableToArray(o, minLen) {\n if (!o) return;\n if (typeof o === \"string\") return arrayLikeToArray(o, minLen);\n var n = Object.prototype.toString.call(o).slice(8, -1);\n if (n === \"Object\" && o.constructor) n = o.constructor.name;\n if (n === \"Map\" || n === \"Set\") return Array.from(o);\n if (n === \"Arguments\" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return arrayLikeToArray(o, minLen);\n}\n\nmodule.exports = _unsupportedIterableToArray;","module.exports = require(\"regenerator-runtime\");\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nexport const EPSILON_FLOAT32 = 1e-7;\nexport const EPSILON_FLOAT16 = 1e-4;\n/** Convenient class for storing tensor-related data. */\nexport class DataStorage {\n constructor(backend, dataMover) {\n this.backend = backend;\n this.dataMover = dataMover;\n this.data = new WeakMap();\n this.dataIdsCount = 0;\n }\n get(dataId) {\n if (!this.data.has(dataId)) {\n this.dataMover.moveData(this.backend, dataId);\n }\n return this.data.get(dataId);\n }\n set(dataId, value) {\n this.dataIdsCount++;\n this.data.set(dataId, value);\n }\n has(dataId) {\n return this.data.has(dataId);\n }\n delete(dataId) {\n this.dataIdsCount--;\n return this.data.delete(dataId);\n }\n numDataIds() {\n return this.dataIdsCount;\n }\n}\n/**\n * The interface that defines the kernels that should be implemented when\n * adding a new backend. New backends don't need to implement every one of the\n * methods, this can be done gradually (throw an error for unimplemented\n * methods).\n */\nexport class KernelBackend {\n refCount(dataId) {\n return notYetImplemented('refCount');\n }\n incRef(dataId) {\n return notYetImplemented('incRef');\n }\n timerAvailable() {\n return true;\n }\n time(f) {\n return notYetImplemented('time');\n }\n read(dataId) {\n return notYetImplemented('read');\n }\n readSync(dataId) {\n return notYetImplemented('readSync');\n }\n numDataIds() {\n return notYetImplemented('numDataIds');\n }\n disposeData(dataId, force) {\n return notYetImplemented('disposeData');\n }\n write(values, shape, dtype) {\n return notYetImplemented('write');\n }\n move(dataId, values, shape, dtype, refCount) {\n return notYetImplemented('move');\n }\n memory() {\n return notYetImplemented('memory');\n }\n /** Returns the highest precision for floats in bits (e.g. 16 or 32) */\n floatPrecision() {\n return notYetImplemented('floatPrecision');\n }\n /** Returns the smallest representable number. */\n epsilon() {\n return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n }\n dispose() {\n return notYetImplemented('dispose');\n }\n}\nfunction notYetImplemented(kernelName) {\n throw new Error(`'${kernelName}' not yet implemented or not found in the registry. ` +\n `This kernel may not be supported by the tfjs backend you have chosen`);\n}\n//# sourceMappingURL=backend.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * Shuffles the array in-place using Fisher-Yates algorithm.\n *\n * ```js\n * const a = [1, 2, 3, 4, 5];\n * tf.util.shuffle(a);\n * console.log(a);\n * ```\n *\n * @param array The array to shuffle in-place.\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\n// tslint:disable-next-line:no-any\nexport function shuffle(array) {\n let counter = array.length;\n let temp = 0;\n let index = 0;\n // While there are elements in the array\n while (counter > 0) {\n // Pick a random index\n index = (Math.random() * counter) | 0;\n // Decrease counter by 1\n counter--;\n // And swap the last element with it\n temp = array[counter];\n array[counter] = array[index];\n array[index] = temp;\n }\n}\n/**\n * Shuffles two arrays in-place the same way using Fisher-Yates algorithm.\n *\n * ```js\n * const a = [1,2,3,4,5];\n * const b = [11,22,33,44,55];\n * tf.util.shuffleCombo(a, b);\n * console.log(a, b);\n * ```\n *\n * @param array The first array to shuffle in-place.\n * @param array2 The second array to shuffle in-place with the same permutation\n * as the first array.\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function shuffleCombo(\n// tslint:disable-next-line:no-any\narray, \n// tslint:disable-next-line:no-any\narray2) {\n if (array.length !== array2.length) {\n throw new Error(`Array sizes must match to be shuffled together ` +\n `First array length was ${array.length}` +\n `Second array length was ${array2.length}`);\n }\n let counter = array.length;\n let temp, temp2;\n let index = 0;\n // While there are elements in the array\n while (counter > 0) {\n // Pick a random index\n index = (Math.random() * counter) | 0;\n // Decrease counter by 1\n counter--;\n // And swap the last element of each array with it\n temp = array[counter];\n temp2 = array2[counter];\n array[counter] = array[index];\n array2[counter] = array2[index];\n array[index] = temp;\n array2[index] = temp2;\n }\n}\n/** Clamps a value to a specified range. */\nexport function clamp(min, x, max) {\n return Math.max(min, Math.min(x, max));\n}\nexport function nearestLargerEven(val) {\n return val % 2 === 0 ? val : val + 1;\n}\nexport function sum(arr) {\n let sum = 0;\n for (let i = 0; i < arr.length; i++) {\n sum += arr[i];\n }\n return sum;\n}\n/**\n * Returns a sample from a uniform [a, b) distribution.\n *\n * @param a The minimum support (inclusive).\n * @param b The maximum support (exclusive).\n * @return A pseudorandom number on the half-open interval [a,b).\n */\nexport function randUniform(a, b) {\n const r = Math.random();\n return (b * r) + (1 - r) * a;\n}\n/** Returns the squared Euclidean distance between two vectors. */\nexport function distSquared(a, b) {\n let result = 0;\n for (let i = 0; i < a.length; i++) {\n const diff = Number(a[i]) - Number(b[i]);\n result += diff * diff;\n }\n return result;\n}\n/**\n * Asserts that the expression is true. Otherwise throws an error with the\n * provided message.\n *\n * ```js\n * const x = 2;\n * tf.util.assert(x === 2, 'x is not 2');\n * ```\n *\n * @param expr The expression to assert (as a boolean).\n * @param msg A function that returns the message to report when throwing an\n * error. We use a function for performance reasons.\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function assert(expr, msg) {\n if (!expr) {\n throw new Error(typeof msg === 'string' ? msg : msg());\n }\n}\nexport function assertShapesMatch(shapeA, shapeB, errorMessagePrefix = '') {\n assert(arraysEqual(shapeA, shapeB), () => errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n}\nexport function assertNonNull(a) {\n assert(a != null, () => `The input to the tensor constructor must be a non-null value.`);\n}\n// NOTE: We explicitly type out what T extends instead of any so that\n// util.flatten on a nested array of number doesn't try to infer T as a\n// number[][], causing us to explicitly type util.flatten().\n/**\n * Flattens an arbitrarily nested array.\n *\n * ```js\n * const a = [[1, 2], [3, 4], [5, [6, [7]]]];\n * const flat = tf.util.flatten(a);\n * console.log(flat);\n * ```\n *\n * @param arr The nested array to flatten.\n * @param result The destination array which holds the elements.\n * @param skipTypedArray If true, avoids flattening the typed arrays. Defaults\n * to false.\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function flatten(arr, result = [], skipTypedArray = false) {\n if (result == null) {\n result = [];\n }\n if (Array.isArray(arr) || isTypedArray(arr) && !skipTypedArray) {\n for (let i = 0; i < arr.length; ++i) {\n flatten(arr[i], result, skipTypedArray);\n }\n }\n else {\n result.push(arr);\n }\n return result;\n}\n/**\n * Returns the size (number of elements) of the tensor given its shape.\n *\n * ```js\n * const shape = [3, 4, 2];\n * const size = tf.util.sizeFromShape(shape);\n * console.log(size);\n * ```\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function sizeFromShape(shape) {\n if (shape.length === 0) {\n // Scalar.\n return 1;\n }\n let size = shape[0];\n for (let i = 1; i < shape.length; i++) {\n size *= shape[i];\n }\n return size;\n}\nexport function isScalarShape(shape) {\n return shape.length === 0;\n}\nexport function arraysEqual(n1, n2) {\n if (n1 === n2) {\n return true;\n }\n if (n1 == null || n2 == null) {\n return false;\n }\n if (n1.length !== n2.length) {\n return false;\n }\n for (let i = 0; i < n1.length; i++) {\n if (n1[i] !== n2[i]) {\n return false;\n }\n }\n return true;\n}\nexport function isInt(a) {\n return a % 1 === 0;\n}\nexport function tanh(x) {\n // tslint:disable-next-line:no-any\n if (Math.tanh != null) {\n // tslint:disable-next-line:no-any\n return Math.tanh(x);\n }\n if (x === Infinity) {\n return 1;\n }\n else if (x === -Infinity) {\n return -1;\n }\n else {\n const e2x = Math.exp(2 * x);\n return (e2x - 1) / (e2x + 1);\n }\n}\nexport function sizeToSquarishShape(size) {\n const width = Math.ceil(Math.sqrt(size));\n return [width, Math.ceil(size / width)];\n}\n/**\n * Creates a new array with randomized indicies to a given quantity.\n *\n * ```js\n * const randomTen = tf.util.createShuffledIndices(10);\n * console.log(randomTen);\n * ```\n *\n * @param number Quantity of how many shuffled indicies to create.\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function createShuffledIndices(n) {\n const shuffledIndices = new Uint32Array(n);\n for (let i = 0; i < n; ++i) {\n shuffledIndices[i] = i;\n }\n shuffle(shuffledIndices);\n return shuffledIndices;\n}\nexport function rightPad(a, size) {\n if (size <= a.length) {\n return a;\n }\n return a + ' '.repeat(size - a.length);\n}\nexport function repeatedTry(checkFn, delayFn = (counter) => 0, maxCounter) {\n return new Promise((resolve, reject) => {\n let tryCount = 0;\n const tryFn = () => {\n if (checkFn()) {\n resolve();\n return;\n }\n tryCount++;\n const nextBackoff = delayFn(tryCount);\n if (maxCounter != null && tryCount >= maxCounter) {\n reject();\n return;\n }\n setTimeout(tryFn, nextBackoff);\n };\n tryFn();\n });\n}\n/**\n * Given the full size of the array and a shape that may contain -1 as the\n * implicit dimension, returns the inferred shape where -1 is replaced.\n * E.g. For shape=[2, -1, 3] and size=24, it will return [2, 4, 3].\n *\n * @param shape The shape, which may contain -1 in some dimension.\n * @param size The full size (number of elements) of the array.\n * @return The inferred shape where -1 is replaced with the inferred size.\n */\nexport function inferFromImplicitShape(shape, size) {\n let shapeProd = 1;\n let implicitIdx = -1;\n for (let i = 0; i < shape.length; ++i) {\n if (shape[i] >= 0) {\n shapeProd *= shape[i];\n }\n else if (shape[i] === -1) {\n if (implicitIdx !== -1) {\n throw Error(`Shapes can only have 1 implicit size. ` +\n `Found -1 at dim ${implicitIdx} and dim ${i}`);\n }\n implicitIdx = i;\n }\n else if (shape[i] < 0) {\n throw Error(`Shapes can not be < 0. Found ${shape[i]} at dim ${i}`);\n }\n }\n if (implicitIdx === -1) {\n if (size > 0 && size !== shapeProd) {\n throw Error(`Size(${size}) must match the product of shape ${shape}`);\n }\n return shape;\n }\n if (shapeProd === 0) {\n throw Error(`Cannot infer the missing size in [${shape}] when ` +\n `there are 0 elements`);\n }\n if (size % shapeProd !== 0) {\n throw Error(`The implicit shape can't be a fractional number. ` +\n `Got ${size} / ${shapeProd}`);\n }\n const newShape = shape.slice();\n newShape[implicitIdx] = size / shapeProd;\n return newShape;\n}\nexport function parseAxisParam(axis, shape) {\n const rank = shape.length;\n // Normalize input\n axis = axis == null ? shape.map((s, i) => i) : [].concat(axis);\n // Check for valid range\n assert(axis.every(ax => ax >= -rank && ax < rank), () => `All values in axis param must be in range [-${rank}, ${rank}) but ` +\n `got axis ${axis}`);\n // Check for only integers\n assert(axis.every(ax => isInt(ax)), () => `All values in axis param must be integers but ` +\n `got axis ${axis}`);\n // Handle negative axis.\n return axis.map(a => a < 0 ? rank + a : a);\n}\n/** Reduces the shape by removing all dimensions of shape 1. */\nexport function squeezeShape(shape, axis) {\n const newShape = [];\n const keptDims = [];\n const isEmptyArray = axis != null && Array.isArray(axis) && axis.length === 0;\n const axes = (axis == null || isEmptyArray) ?\n null :\n parseAxisParam(axis, shape).sort();\n let j = 0;\n for (let i = 0; i < shape.length; ++i) {\n if (axes != null) {\n if (axes[j] === i && shape[i] !== 1) {\n throw new Error(`Can't squeeze axis ${i} since its dim '${shape[i]}' is not 1`);\n }\n if ((axes[j] == null || axes[j] > i) && shape[i] === 1) {\n newShape.push(shape[i]);\n keptDims.push(i);\n }\n if (axes[j] <= i) {\n j++;\n }\n }\n if (shape[i] !== 1) {\n newShape.push(shape[i]);\n keptDims.push(i);\n }\n }\n return { newShape, keptDims };\n}\nexport function getTypedArrayFromDType(dtype, size) {\n let values = null;\n if (dtype == null || dtype === 'float32') {\n values = new Float32Array(size);\n }\n else if (dtype === 'int32') {\n values = new Int32Array(size);\n }\n else if (dtype === 'bool') {\n values = new Uint8Array(size);\n }\n else {\n throw new Error(`Unknown data type ${dtype}`);\n }\n return values;\n}\nexport function getArrayFromDType(dtype, size) {\n let values = null;\n if (dtype == null || dtype === 'float32') {\n values = new Float32Array(size);\n }\n else if (dtype === 'int32') {\n values = new Int32Array(size);\n }\n else if (dtype === 'bool') {\n values = new Uint8Array(size);\n }\n else if (dtype === 'string') {\n values = new Array(size);\n }\n else {\n throw new Error(`Unknown data type ${dtype}`);\n }\n return values;\n}\nexport function checkConversionForErrors(vals, dtype) {\n for (let i = 0; i < vals.length; i++) {\n const num = vals[i];\n if (isNaN(num) || !isFinite(num)) {\n throw Error(`A tensor of type ${dtype} being uploaded contains ${num}.`);\n }\n }\n}\n/** Returns true if the dtype is valid. */\nexport function isValidDtype(dtype) {\n return dtype === 'bool' || dtype === 'complex64' || dtype === 'float32' ||\n dtype === 'int32' || dtype === 'string';\n}\n/**\n * Returns true if the new type can't encode the old type without loss of\n * precision.\n */\nexport function hasEncodingLoss(oldType, newType) {\n if (newType === 'complex64') {\n return false;\n }\n if (newType === 'float32' && oldType !== 'complex64') {\n return false;\n }\n if (newType === 'int32' && oldType !== 'float32' && oldType !== 'complex64') {\n return false;\n }\n if (newType === 'bool' && oldType === 'bool') {\n return false;\n }\n return true;\n}\nexport function isTypedArray(a) {\n return a instanceof Float32Array || a instanceof Int32Array ||\n a instanceof Uint8Array;\n}\nexport function bytesPerElement(dtype) {\n if (dtype === 'float32' || dtype === 'int32') {\n return 4;\n }\n else if (dtype === 'complex64') {\n return 8;\n }\n else if (dtype === 'bool') {\n return 1;\n }\n else {\n throw new Error(`Unknown dtype ${dtype}`);\n }\n}\n/**\n * Returns the approximate number of bytes allocated in the string array - 2\n * bytes per character. Computing the exact bytes for a native string in JS is\n * not possible since it depends on the encoding of the html page that serves\n * the website.\n */\nexport function bytesFromStringArray(arr) {\n if (arr == null) {\n return 0;\n }\n let bytes = 0;\n arr.forEach(x => bytes += x.length);\n return bytes;\n}\n/** Returns true if the value is a string. */\nexport function isString(value) {\n return typeof value === 'string' || value instanceof String;\n}\nexport function isBoolean(value) {\n return typeof value === 'boolean';\n}\nexport function isNumber(value) {\n return typeof value === 'number';\n}\nexport function inferDtype(values) {\n if (Array.isArray(values)) {\n return inferDtype(values[0]);\n }\n if (values instanceof Float32Array) {\n return 'float32';\n }\n else if (values instanceof Int32Array || values instanceof Uint8Array) {\n return 'int32';\n }\n else if (isNumber(values)) {\n return 'float32';\n }\n else if (isString(values)) {\n return 'string';\n }\n else if (isBoolean(values)) {\n return 'bool';\n }\n return 'float32';\n}\nexport function isFunction(f) {\n return !!(f && f.constructor && f.call && f.apply);\n}\nexport function nearestDivisor(size, start) {\n for (let i = start; i < size; ++i) {\n if (size % i === 0) {\n return i;\n }\n }\n return size;\n}\nexport function computeStrides(shape) {\n const rank = shape.length;\n if (rank < 2) {\n return [];\n }\n // Last dimension has implicit stride of 1, thus having D-1 (instead of D)\n // strides.\n const strides = new Array(rank - 1);\n strides[rank - 2] = shape[rank - 1];\n for (let i = rank - 3; i >= 0; --i) {\n strides[i] = strides[i + 1] * shape[i + 1];\n }\n return strides;\n}\nfunction createNestedArray(offset, shape, a, isComplex = false) {\n const ret = new Array();\n if (shape.length === 1) {\n const d = shape[0] * (isComplex ? 2 : 1);\n for (let i = 0; i < d; i++) {\n ret[i] = a[offset + i];\n }\n }\n else {\n const d = shape[0];\n const rest = shape.slice(1);\n const len = rest.reduce((acc, c) => acc * c) * (isComplex ? 2 : 1);\n for (let i = 0; i < d; i++) {\n ret[i] = createNestedArray(offset + i * len, rest, a, isComplex);\n }\n }\n return ret;\n}\n// Provide a nested array of TypedArray in given shape.\nexport function toNestedArray(shape, a, isComplex = false) {\n if (shape.length === 0) {\n // Scalar type should return a single number.\n return a[0];\n }\n const size = shape.reduce((acc, c) => acc * c) * (isComplex ? 2 : 1);\n if (size === 0) {\n // A tensor with shape zero should be turned into empty list.\n return [];\n }\n if (size !== a.length) {\n throw new Error(`[${shape}] does not match the input size ${a.length}${isComplex ? ' for a complex tensor' : ''}.`);\n }\n return createNestedArray(0, shape, a, isComplex);\n}\nexport function makeOnesTypedArray(size, dtype) {\n const array = makeZerosTypedArray(size, dtype);\n for (let i = 0; i < array.length; i++) {\n array[i] = 1;\n }\n return array;\n}\nexport function makeZerosTypedArray(size, dtype) {\n if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n return new Float32Array(size);\n }\n else if (dtype === 'int32') {\n return new Int32Array(size);\n }\n else if (dtype === 'bool') {\n return new Uint8Array(size);\n }\n else {\n throw new Error(`Unknown data type ${dtype}`);\n }\n}\n/**\n * Make nested `TypedArray` filled with zeros.\n * @param shape The shape information for the nested array.\n * @param dtype dtype of the array element.\n */\nexport function makeZerosNestedTypedArray(shape, dtype) {\n const size = shape.reduce((prev, curr) => prev * curr, 1);\n if (dtype == null || dtype === 'float32') {\n return toNestedArray(shape, new Float32Array(size));\n }\n else if (dtype === 'int32') {\n return toNestedArray(shape, new Int32Array(size));\n }\n else if (dtype === 'bool') {\n return toNestedArray(shape, new Uint8Array(size));\n }\n else {\n throw new Error(`Unknown data type ${dtype}`);\n }\n}\nexport function assertNonNegativeIntegerDimensions(shape) {\n shape.forEach(dimSize => {\n assert(Number.isInteger(dimSize) && dimSize >= 0, () => `Tensor must have a shape comprised of positive integers but got ` +\n `shape [${shape}].`);\n });\n}\n/**\n * Computes flat index for a given location (multidimentionsal index) in a\n * Tensor/multidimensional array.\n *\n * @param locs Location in the tensor.\n * @param rank Rank of the tensor.\n * @param strides Tensor strides.\n */\nexport function locToIndex(locs, rank, strides) {\n if (rank === 0) {\n return 0;\n }\n else if (rank === 1) {\n return locs[0];\n }\n let index = locs[locs.length - 1];\n for (let i = 0; i < locs.length - 1; ++i) {\n index += strides[i] * locs[i];\n }\n return index;\n}\n/**\n * Computes the location (multidimensional index) in a tensor/multidimentional\n * array for a given flat index.\n *\n * @param index Index in flat array.\n * @param rank Rank of tensor.\n * @param strides Strides of tensor.\n */\nexport function indexToLoc(index, rank, strides) {\n if (rank === 0) {\n return [];\n }\n else if (rank === 1) {\n return [index];\n }\n const locs = new Array(rank);\n for (let i = 0; i < locs.length - 1; ++i) {\n locs[i] = Math.floor(index / strides[i]);\n index -= locs[i] * strides[i];\n }\n locs[locs.length - 1] = index;\n return locs;\n}\n/**\n * This method asserts whether an object is a Promise instance.\n * @param object\n */\n// tslint:disable-next-line: no-any\nexport function isPromise(object) {\n // We chose to not use 'obj instanceOf Promise' for two reasons:\n // 1. It only reliably works for es6 Promise, not other Promise\n // implementations.\n // 2. It doesn't work with framework that uses zone.js. zone.js monkey patch\n // the async calls, so it is possible the obj (patched) is comparing to a\n // pre-patched Promise.\n return object && object.then && typeof object.then === 'function';\n}\n//# sourceMappingURL=util_base.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { isPromise } from './util_base';\n// Expects flags from URL in the format ?tfjsflags=FLAG1:1,FLAG2:true.\nconst TENSORFLOWJS_FLAGS_PREFIX = 'tfjsflags';\n/**\n * The environment contains evaluated flags as well as the registered platform.\n * This is always used as a global singleton and can be retrieved with\n * `tf.env()`.\n *\n * @doc {heading: 'Environment'}\n */\nexport class Environment {\n // tslint:disable-next-line: no-any\n constructor(global) {\n this.global = global;\n this.flags = {};\n this.flagRegistry = {};\n this.urlFlags = {};\n // Jasmine spies on this in 'environment_test.ts'\n this.getQueryParams = getQueryParams;\n this.populateURLFlags();\n }\n setPlatform(platformName, platform) {\n if (this.platform != null) {\n console.warn(`Platform ${this.platformName} has already been set. ` +\n `Overwriting the platform with ${platform}.`);\n }\n this.platformName = platformName;\n this.platform = platform;\n }\n registerFlag(flagName, evaluationFn, setHook) {\n this.flagRegistry[flagName] = { evaluationFn, setHook };\n // Override the flag value from the URL. This has to happen here because the\n // environment is initialized before flags get registered.\n if (this.urlFlags[flagName] != null) {\n const flagValue = this.urlFlags[flagName];\n console.warn(`Setting feature override from URL ${flagName}: ${flagValue}.`);\n this.set(flagName, flagValue);\n }\n }\n async getAsync(flagName) {\n if (flagName in this.flags) {\n return this.flags[flagName];\n }\n this.flags[flagName] = await this.evaluateFlag(flagName);\n return this.flags[flagName];\n }\n get(flagName) {\n if (flagName in this.flags) {\n return this.flags[flagName];\n }\n const flagValue = this.evaluateFlag(flagName);\n if (isPromise(flagValue)) {\n throw new Error(`Flag ${flagName} cannot be synchronously evaluated. ` +\n `Please use getAsync() instead.`);\n }\n this.flags[flagName] = flagValue;\n return this.flags[flagName];\n }\n getNumber(flagName) {\n return this.get(flagName);\n }\n getBool(flagName) {\n return this.get(flagName);\n }\n getFlags() {\n return this.flags;\n }\n // For backwards compatibility.\n get features() {\n return this.flags;\n }\n set(flagName, value) {\n if (this.flagRegistry[flagName] == null) {\n throw new Error(`Cannot set flag ${flagName} as it has not been registered.`);\n }\n this.flags[flagName] = value;\n if (this.flagRegistry[flagName].setHook != null) {\n this.flagRegistry[flagName].setHook(value);\n }\n }\n evaluateFlag(flagName) {\n if (this.flagRegistry[flagName] == null) {\n throw new Error(`Cannot evaluate flag '${flagName}': no evaluation function found.`);\n }\n return this.flagRegistry[flagName].evaluationFn();\n }\n setFlags(flags) {\n this.flags = Object.assign({}, flags);\n }\n reset() {\n this.flags = {};\n this.urlFlags = {};\n this.populateURLFlags();\n }\n populateURLFlags() {\n if (typeof this.global === 'undefined' ||\n typeof this.global.location === 'undefined' ||\n typeof this.global.location.search === 'undefined') {\n return;\n }\n const urlParams = this.getQueryParams(this.global.location.search);\n if (TENSORFLOWJS_FLAGS_PREFIX in urlParams) {\n const keyValues = urlParams[TENSORFLOWJS_FLAGS_PREFIX].split(',');\n keyValues.forEach(keyValue => {\n const [key, value] = keyValue.split(':');\n this.urlFlags[key] = parseValue(key, value);\n });\n }\n }\n}\nexport function getQueryParams(queryString) {\n const params = {};\n queryString.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, (s, ...t) => {\n decodeParam(params, t[0], t[1]);\n return t.join('=');\n });\n return params;\n}\nfunction decodeParam(params, name, value) {\n params[decodeURIComponent(name)] = decodeURIComponent(value || '');\n}\nfunction parseValue(flagName, value) {\n value = value.toLowerCase();\n if (value === 'true' || value === 'false') {\n return value === 'true';\n }\n else if (`${+value}` === value) {\n return +value;\n }\n throw new Error(`Could not parse value flag value ${value} for flag ${flagName}.`);\n}\n/**\n * Returns the current environment (a global singleton).\n *\n * The environment object contains the evaluated feature values as well as the\n * active platform.\n *\n * @doc {heading: 'Environment'}\n */\nexport function env() {\n return ENV;\n}\nexport let ENV = null;\nexport function setEnvironmentGlobal(environment) {\n ENV = environment;\n}\n//# sourceMappingURL=environment.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// Note that the identifier globalNameSpace is scoped to this module, but will\n// always resolve to the same global object regardless of how the module is\n// resolved.\n// tslint:disable-next-line:no-any\nlet globalNameSpace;\n// tslint:disable-next-line:no-any\nexport function getGlobalNamespace() {\n if (globalNameSpace == null) {\n // tslint:disable-next-line:no-any\n let ns;\n if (typeof (window) !== 'undefined') {\n ns = window;\n }\n else if (typeof (global) !== 'undefined') {\n ns = global;\n }\n else if (typeof (process) !== 'undefined') {\n ns = process;\n }\n else if (typeof (self) !== 'undefined') {\n ns = self;\n }\n else {\n throw new Error('Could not find a global object');\n }\n globalNameSpace = ns;\n }\n return globalNameSpace;\n}\n// tslint:disable-next-line:no-any\nfunction getGlobalMap() {\n const ns = getGlobalNamespace();\n if (ns._tfGlobals == null) {\n ns._tfGlobals = new Map();\n }\n return ns._tfGlobals;\n}\n/**\n * Returns a globally accessible 'singleton' object.\n *\n * @param key the name of the object\n * @param init a function to initialize to initialize this object\n * the first time it is fetched.\n */\nexport function getGlobal(key, init) {\n const globalMap = getGlobalMap();\n if (globalMap.has(key)) {\n return globalMap.get(key);\n }\n else {\n const singleton = init();\n globalMap.set(key, singleton);\n return globalMap.get(key);\n }\n}\n//# sourceMappingURL=global_util.js.map","export const Abs = 'Abs';\nexport const Acos = 'Acos';\nexport const Acosh = 'Acosh';\nexport const Add = 'Add';\nexport const AddN = 'AddN';\nexport const All = 'All';\nexport const Any = 'Any';\nexport const ArgMax = 'ArgMax';\nexport const ArgMin = 'ArgMin';\nexport const Asin = 'Asin';\nexport const Asinh = 'Asinh';\nexport const Atan = 'Atan';\nexport const Atanh = 'Atanh';\nexport const Atan2 = 'Atan2';\nexport const AvgPool = 'AvgPool';\nexport const AvgPoolGrad = 'AvgPoolGrad';\nexport const AvgPool3D = 'AvgPool3D';\nexport const AvgPool3DGrad = 'AvgPool3DGrad';\nexport const BatchMatMul = 'BatchMatMul';\nexport const BatchToSpaceND = 'BatchToSpaceND';\nexport const Bincount = 'Bincount';\nexport const BroadcastTo = 'BroadcastTo';\nexport const Cast = 'Cast';\nexport const Ceil = 'Ceil';\nexport const ClipByValue = 'ClipByValue';\nexport const Complex = 'Complex';\nexport const ComplexAbs = 'ComplexAbs';\nexport const Concat = 'Concat';\nexport const Conv2D = 'Conv2D';\nexport const Conv2DBackpropFilter = 'Conv2DBackpropFilter';\nexport const Conv2DBackpropInput = 'Conv2DBackpropInput';\nexport const Conv3D = 'Conv3D';\nexport const Conv3DBackpropFilterV2 = 'Conv3DBackpropFilterV2';\nexport const Conv3DBackpropInputV2 = 'Conv3DBackpropInputV2';\nexport const Cos = 'Cos';\nexport const Cosh = 'Cosh';\nexport const Cumsum = 'Cumsum';\nexport const CropAndResize = 'CropAndResize';\nexport const DenseBincount = 'DenseBincount';\nexport const DepthToSpace = 'DepthToSpace';\nexport const DepthwiseConv2dNative = 'DepthwiseConv2dNative';\nexport const DepthwiseConv2dNativeBackpropFilter = 'DepthwiseConv2dNativeBackpropFilter';\nexport const DepthwiseConv2dNativeBackpropInput = 'DepthwiseConv2dNativeBackpropInput';\nexport const Diag = 'Diag';\nexport const Dilation2D = 'Dilation2D';\nexport const Dilation2DBackpropInput = 'Dilation2DBackpropInput';\nexport const Dilation2DBackpropFilter = 'Dilation2DBackpropFilter';\nexport const RealDiv = 'RealDiv';\nexport const Einsum = 'Einsum';\nexport const Elu = 'Elu';\nexport const EluGrad = 'EluGrad';\nexport const Erf = 'Erf';\nexport const Equal = 'Equal';\nexport const Exp = 'Exp';\nexport const ExpandDims = 'ExpandDims';\nexport const Expm1 = 'Expm1';\nexport const FFT = 'FFT';\nexport const Fill = 'Fill';\nexport const FlipLeftRight = 'FlipLeftRight';\nexport const Floor = 'Floor';\nexport const FloorDiv = 'FloorDiv';\nexport const FusedBatchNorm = 'FusedBatchNorm';\nexport const GatherV2 = 'GatherV2';\nexport const GatherNd = 'GatherNd';\nexport const Greater = 'Greater';\nexport const GreaterEqual = 'GreaterEqual';\nexport const Identity = 'Identity';\nexport const IFFT = 'IFFT';\nexport const Imag = 'Imag';\nexport const IsFinite = 'IsFinite';\nexport const IsInf = 'IsInf';\nexport const IsNan = 'IsNan';\nexport const LeakyRelu = 'LeakyRelu';\nexport const Less = 'Less';\nexport const LessEqual = 'LessEqual';\nexport const LinSpace = 'LinSpace';\nexport const Log = 'Log';\nexport const Log1p = 'Log1p';\nexport const LogicalAnd = 'LogicalAnd';\nexport const LogicalNot = 'LogicalNot';\nexport const LogicalOr = 'LogicalOr';\nexport const LogSoftmax = 'LogSoftmax';\nexport const LRN = 'LRN';\nexport const LRNGrad = 'LRNGrad';\nexport const Max = 'Max';\nexport const Maximum = 'Maximum';\nexport const MaxPool = 'MaxPool';\nexport const MaxPoolGrad = 'MaxPoolGrad';\nexport const MaxPool3D = 'MaxPool3D';\nexport const MaxPool3DGrad = 'MaxPool3DGrad';\nexport const MaxPoolWithArgmax = 'MaxPoolWithArgmax';\nexport const Mean = 'Mean';\nexport const Min = 'Min';\nexport const Minimum = 'Minimum';\nexport const MirrorPad = 'MirrorPad';\nexport const Mod = 'Mod';\nexport const Multinomial = 'Multinomial';\nexport const Multiply = 'Multiply';\nexport const Neg = 'Neg';\nexport const NotEqual = 'NotEqual';\nexport const NonMaxSuppressionV3 = 'NonMaxSuppressionV3';\nexport const NonMaxSuppressionV4 = 'NonMaxSuppressionV4';\nexport const NonMaxSuppressionV5 = 'NonMaxSuppressionV5';\nexport const OnesLike = 'OnesLike';\nexport const OneHot = 'OneHot';\nexport const Pack = 'Pack';\nexport const PadV2 = 'PadV2';\nexport const Pool = 'Pool';\nexport const Pow = 'Pow';\nexport const Prelu = 'Prelu';\nexport const Prod = 'Prod';\nexport const Range = 'Range';\nexport const Real = 'Real';\nexport const Reciprocal = 'Reciprocal';\nexport const Relu = 'Relu';\nexport const Reshape = 'Reshape';\nexport const ResizeNearestNeighbor = 'ResizeNearestNeighbor';\nexport const ResizeNearestNeighborGrad = 'ResizeNearestNeighborGrad';\nexport const ResizeBilinear = 'ResizeBilinear';\nexport const ResizeBilinearGrad = 'ResizeBilinearGrad';\nexport const Relu6 = 'Relu6';\nexport const Reverse = 'Reverse';\nexport const Round = 'Round';\nexport const Rsqrt = 'Rsqrt';\nexport const ScatterNd = 'ScatterNd';\nexport const Select = 'Select';\nexport const Selu = 'Selu';\nexport const Slice = 'Slice';\nexport const Sin = 'Sin';\nexport const Sinh = 'Sinh';\nexport const Sign = 'Sign';\nexport const Sigmoid = 'Sigmoid';\nexport const Softplus = 'Softplus';\nexport const Sqrt = 'Sqrt';\nexport const Sum = 'Sum';\nexport const SpaceToBatchND = 'SpaceToBatchND';\nexport const SplitV = 'SplitV';\nexport const Softmax = 'Softmax';\nexport const SparseFillEmptyRows = 'SparseFillEmptyRows';\nexport const SparseReshape = 'SparseReshape';\nexport const SparseToDense = 'SparseToDense';\nexport const SquaredDifference = 'SquaredDifference';\nexport const Square = 'Square';\nexport const StridedSlice = 'StridedSlice';\nexport const Sub = 'Sub';\nexport const Tan = 'Tan';\nexport const Tanh = 'Tanh';\nexport const Tile = 'Tile';\nexport const TopK = 'TopK';\nexport const Transform = 'Transform';\nexport const Transpose = 'Transpose';\nexport const Unique = 'Unique';\nexport const Unpack = 'Unpack';\nexport const UnsortedSegmentSum = 'UnsortedSegmentSum';\nexport const ZerosLike = 'ZerosLike';\n/**\n * TensorFlow.js-only kernels\n */\nexport const Step = 'Step';\nexport const FromPixels = 'FromPixels';\nexport const RotateWithOffset = 'RotateWithOffset';\nexport const _FusedMatMul = '_FusedMatMul';\nexport const FusedConv2D = 'FusedConv2D';\nexport const FusedDepthwiseConv2D = 'FusedDepthwiseConv2D';\n//# sourceMappingURL=kernel_names.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { env } from './environment';\nimport { getGlobal } from './global_util';\nconst kernelRegistry = getGlobal('kernelRegistry', () => new Map());\nconst gradRegistry = getGlobal('gradRegistry', () => new Map());\n/**\n * Returns the kernel function (code) associated with the provided names.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n */\nexport function getKernel(kernelName, backendName) {\n const key = makeKey(kernelName, backendName);\n return kernelRegistry.get(key);\n}\n/**\n * Returns the registered gradient info associated with the provided kernel.\n * @param kernelName The official TF kernel name.\n */\nexport function getGradient(kernelName) {\n return gradRegistry.get(kernelName);\n}\nexport function getKernelsForBackend(backendName) {\n const it = kernelRegistry.entries();\n const result = [];\n while (true) {\n const { done, value } = it.next();\n if (done) {\n break;\n }\n const [key, config] = value;\n const [backend,] = key.split('_');\n if (backend === backendName) {\n result.push(config);\n }\n }\n return result;\n}\n/**\n * Registers the function (forward pass) for the kernel in a global registry.\n *\n * @param config A config object with the following properties:\n * - `kernelName` The official name of the kernel.\n * - `backendName` The official name of the backend.\n * - `kernelFunc` The function to run during the forward pass of the kernel.\n * - `setupFunc` Optional. Gets called once, after the backend initializes.\n * - `disposeFunc` Optional. Gets called once, right before the backend is\n * disposed.\n */\nexport function registerKernel(config) {\n const { kernelName, backendName } = config;\n const key = makeKey(kernelName, backendName);\n if (kernelRegistry.has(key)) {\n console.warn(`The kernel '${kernelName}' for backend ` +\n `'${backendName}' is already registered`);\n }\n kernelRegistry.set(key, config);\n}\n/**\n * Registers a gradient function for a given kernel in the global registry,\n * to be used during the back-propagation of that kernel.\n *\n * @param config An object with the following properties:\n * - `kernelName` The name of the kernel that the gradient function is for.\n * - `gradFunc` The function to run during back-propagation.\n */\nexport function registerGradient(config) {\n const { kernelName } = config;\n if (gradRegistry.has(kernelName)) {\n // TODO (yassogba) after 3.0 assess whether we need to keep this gated\n // to debug mode.\n if (env().getBool('DEBUG')) {\n console.warn(`Overriding the gradient for '${kernelName}'`);\n }\n }\n gradRegistry.set(kernelName, config);\n}\n/**\n * Removes the kernel function from the registry.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n *\n */\nexport function unregisterKernel(kernelName, backendName) {\n const key = makeKey(kernelName, backendName);\n if (!kernelRegistry.has(key)) {\n throw new Error(`The kernel '${kernelName}' for backend ` +\n `'${backendName}' is not registered`);\n }\n kernelRegistry.delete(key);\n}\n/** Removes the registered gradient from the global registry. */\nexport function unregisterGradient(kernelName) {\n if (!gradRegistry.has(kernelName)) {\n throw new Error(`The gradient '${kernelName}' for backend is not registered`);\n }\n gradRegistry.delete(kernelName);\n}\n/**\n * Finds kernels that have already been registered to a backend and re-registers\n * them for a new backend. Useful for registering custom backends.\n * @param registeredBackendName Already registered backend.\n * @param newBackendName New backend.\n */\nexport function copyRegisteredKernels(registeredBackendName, newBackendName) {\n const kernels = getKernelsForBackend(registeredBackendName);\n kernels.forEach(kernelConfig => {\n const newKernelConfig = Object.assign({}, kernelConfig, { backendName: newBackendName });\n registerKernel(newKernelConfig);\n });\n}\nfunction makeKey(kernelName, backendName) {\n return `${backendName}_${kernelName}`;\n}\n//# sourceMappingURL=kernel_registry.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { env } from './environment';\nimport * as base from './util_base';\nexport * from './util_base';\n/**\n * Create typed array for scalar value. Used for storing in `DataStorage`.\n */\nexport function createScalarValue(value, dtype) {\n if (dtype === 'string') {\n return encodeString(value);\n }\n return toTypedArray([value], dtype);\n}\nfunction noConversionNeeded(a, dtype) {\n return (a instanceof Float32Array && dtype === 'float32') ||\n (a instanceof Int32Array && dtype === 'int32') ||\n (a instanceof Uint8Array && dtype === 'bool');\n}\nexport function toTypedArray(a, dtype) {\n if (dtype === 'string') {\n throw new Error('Cannot convert a string[] to a TypedArray');\n }\n if (Array.isArray(a)) {\n a = base.flatten(a);\n }\n if (env().getBool('DEBUG')) {\n base.checkConversionForErrors(a, dtype);\n }\n if (noConversionNeeded(a, dtype)) {\n return a;\n }\n if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n return new Float32Array(a);\n }\n else if (dtype === 'int32') {\n return new Int32Array(a);\n }\n else if (dtype === 'bool') {\n const bool = new Uint8Array(a.length);\n for (let i = 0; i < bool.length; ++i) {\n if (Math.round(a[i]) !== 0) {\n bool[i] = 1;\n }\n }\n return bool;\n }\n else {\n throw new Error(`Unknown data type ${dtype}`);\n }\n}\n/**\n * Returns the current high-resolution time in milliseconds relative to an\n * arbitrary time in the past. It works across different platforms (node.js,\n * browsers).\n *\n * ```js\n * console.log(tf.util.now());\n * ```\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function now() {\n return env().platform.now();\n}\n/**\n * Returns a platform-specific implementation of\n * [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n *\n * If `fetch` is defined on the global object (`window`, `process`, etc.),\n * `tf.util.fetch` returns that function.\n *\n * If not, `tf.util.fetch` returns a platform-specific solution.\n *\n * ```js\n * const resource = await tf.util.fetch('https://unpkg.com/@tensorflow/tfjs');\n * // handle response\n * ```\n *\n * @doc {heading: 'Util'}\n */\nexport function fetch(path, requestInits) {\n return env().platform.fetch(path, requestInits);\n}\n/**\n * Encodes the provided string into bytes using the provided encoding scheme.\n *\n * @param s The string to encode.\n * @param encoding The encoding scheme. Defaults to utf-8.\n *\n * @doc {heading: 'Util'}\n */\nexport function encodeString(s, encoding = 'utf-8') {\n encoding = encoding || 'utf-8';\n return env().platform.encode(s, encoding);\n}\n/**\n * Decodes the provided bytes into a string using the provided encoding scheme.\n * @param bytes The bytes to decode.\n *\n * @param encoding The encoding scheme. Defaults to utf-8.\n *\n * @doc {heading: 'Util'}\n */\nexport function decodeString(bytes, encoding = 'utf-8') {\n encoding = encoding || 'utf-8';\n return env().platform.decode(bytes, encoding);\n}\n//# sourceMappingURL=util.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { env } from './environment';\nimport * as util from './util';\nexport class Profiler {\n constructor(backendTimer, logger) {\n this.backendTimer = backendTimer;\n this.logger = logger;\n if (logger == null) {\n this.logger = new Logger();\n }\n }\n profileKernel(kernelName, inputs, f) {\n let outputs;\n const holdResultWrapperFn = () => {\n outputs = f();\n };\n let timer;\n const start = util.now();\n if (this.backendTimer.timerAvailable()) {\n timer = this.backendTimer.time(holdResultWrapperFn);\n }\n else {\n holdResultWrapperFn();\n for (const output of outputs) {\n output.dataSync();\n }\n timer = Promise.resolve({ kernelMs: util.now() - start });\n }\n if (env().getBool('CHECK_COMPUTATION_FOR_ERRORS')) {\n for (let i = 0; i < outputs.length; i++) {\n const output = outputs[i];\n // Dangling promise here because we don't want to propagate up\n // asynchronicity.\n output.data().then(tensorVals => {\n checkComputationForErrors(tensorVals, output.dtype, kernelName);\n });\n }\n }\n const kernelProfile = {\n kernelName,\n outputs,\n inputs,\n timeMs: timer.then(timing => timing.kernelMs),\n extraInfo: timer.then(timing => timing.getExtraProfileInfo != null ?\n timing.getExtraProfileInfo() :\n '')\n };\n return kernelProfile;\n }\n logKernelProfile(kernelProfile) {\n const { kernelName, outputs, timeMs, inputs, extraInfo } = kernelProfile;\n outputs.forEach(result => {\n Promise.all([result.data(), timeMs, extraInfo]).then(valueContainer => {\n this.logger.logKernelProfile(kernelName, result, valueContainer[0], valueContainer[1], inputs, valueContainer[2]);\n });\n });\n }\n}\nexport function checkComputationForErrors(vals, dtype, kernelName) {\n if (dtype !== 'float32') {\n // Only floating point computations will generate NaN values\n return false;\n }\n for (let i = 0; i < vals.length; i++) {\n const num = vals[i];\n if (isNaN(num) || !isFinite(num)) {\n // Throwing custom exception so behavior is testable.\n console.warn(`Found ${num} in the result of '${kernelName}'`);\n return true;\n }\n }\n return false;\n}\nexport class Logger {\n logKernelProfile(name, result, vals, timeMs, inputs, extraInfo) {\n const time = typeof timeMs === 'number' ? util.rightPad(`${timeMs}ms`, 9) :\n timeMs['error'];\n const paddedName = util.rightPad(name, 25);\n const rank = result.rank;\n const size = result.size;\n const shape = util.rightPad(result.shape.toString(), 14);\n let inputShapesDescription = '';\n for (const name in inputs) {\n const input = inputs[name];\n if (input != null) {\n // The input might be a non-tensor (e.g HTMLImageElement), in which case\n // we claim the output shape as input shape.\n const inputShape = input.shape || result.shape;\n const inputRank = inputShape.length;\n inputShapesDescription +=\n `${name}: ${inputRank}D ${inputRank > 0 ? inputShape : ''} `;\n }\n }\n console.log(`%c${paddedName}\\t%c${time}\\t%c${rank}D ${shape}\\t%c${size}\\t%c${inputShapesDescription}\\t%c${extraInfo}`, 'font-weight:bold', 'color:red', 'color:blue', 'color: orange', 'color: green', 'color: steelblue');\n }\n}\n//# sourceMappingURL=profiler.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { computeStrides, isString, rightPad, sizeFromShape } from './util';\n// Maximum number of values before we decide to show ellipsis.\nconst FORMAT_LIMIT_NUM_VALS = 20;\n// Number of first and last values to show when displaying a, b,...,y, z.\nconst FORMAT_NUM_FIRST_LAST_VALS = 3;\n// Number of significant digits to show.\nconst FORMAT_NUM_SIG_DIGITS = 7;\nexport function tensorToString(vals, shape, dtype, verbose) {\n const strides = computeStrides(shape);\n const padPerCol = computeMaxSizePerColumn(vals, shape, dtype, strides);\n const rank = shape.length;\n const valsLines = subTensorToString(vals, shape, dtype, strides, padPerCol);\n const lines = ['Tensor'];\n if (verbose) {\n lines.push(` dtype: ${dtype}`);\n lines.push(` rank: ${rank}`);\n lines.push(` shape: [${shape}]`);\n lines.push(` values:`);\n }\n lines.push(valsLines.map(l => ' ' + l).join('\\n'));\n return lines.join('\\n');\n}\nfunction computeMaxSizePerColumn(vals, shape, dtype, strides) {\n const n = sizeFromShape(shape);\n const numCols = strides[strides.length - 1];\n const padPerCol = new Array(numCols).fill(0);\n const rank = shape.length;\n const valuesOrTuples = dtype === 'complex64' ? createComplexTuples(vals) : vals;\n if (rank > 1) {\n for (let row = 0; row < n / numCols; row++) {\n const offset = row * numCols;\n for (let j = 0; j < numCols; j++) {\n padPerCol[j] = Math.max(padPerCol[j], valToString(valuesOrTuples[offset + j], 0, dtype).length);\n }\n }\n }\n return padPerCol;\n}\nfunction valToString(val, pad, dtype) {\n let valStr;\n if (Array.isArray(val)) {\n valStr = `${parseFloat(val[0].toFixed(FORMAT_NUM_SIG_DIGITS))} + ` +\n `${parseFloat(val[1].toFixed(FORMAT_NUM_SIG_DIGITS))}j`;\n }\n else if (isString(val)) {\n valStr = `'${val}'`;\n }\n else if (dtype === 'bool') {\n valStr = boolNumToString(val);\n }\n else {\n valStr = parseFloat(val.toFixed(FORMAT_NUM_SIG_DIGITS)).toString();\n }\n return rightPad(valStr, pad);\n}\nfunction boolNumToString(v) {\n return v === 0 ? 'false' : 'true';\n}\nfunction subTensorToString(vals, shape, dtype, strides, padPerCol, isLast = true) {\n const storagePerElement = dtype === 'complex64' ? 2 : 1;\n const size = shape[0];\n const rank = shape.length;\n if (rank === 0) {\n if (dtype === 'complex64') {\n const complexTuple = createComplexTuples(vals);\n return [valToString(complexTuple[0], 0, dtype)];\n }\n if (dtype === 'bool') {\n return [boolNumToString(vals[0])];\n }\n return [vals[0].toString()];\n }\n if (rank === 1) {\n if (size > FORMAT_LIMIT_NUM_VALS) {\n const firstValsSize = FORMAT_NUM_FIRST_LAST_VALS * storagePerElement;\n let firstVals = Array.from(vals.slice(0, firstValsSize));\n let lastVals = Array.from(vals.slice((size - FORMAT_NUM_FIRST_LAST_VALS) * storagePerElement, size * storagePerElement));\n if (dtype === 'complex64') {\n firstVals = createComplexTuples(firstVals);\n lastVals = createComplexTuples(lastVals);\n }\n return [\n '[' +\n firstVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n .join(', ') +\n ', ..., ' +\n lastVals\n .map((x, i) => valToString(x, padPerCol[size - FORMAT_NUM_FIRST_LAST_VALS + i], dtype))\n .join(', ') +\n ']'\n ];\n }\n const displayVals = dtype === 'complex64' ? createComplexTuples(vals) :\n Array.from(vals);\n return [\n '[' +\n displayVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n .join(', ') +\n ']'\n ];\n }\n // The array is rank 2 or more.\n const subshape = shape.slice(1);\n const substrides = strides.slice(1);\n const stride = strides[0] * storagePerElement;\n const lines = [];\n if (size > FORMAT_LIMIT_NUM_VALS) {\n for (let i = 0; i < FORMAT_NUM_FIRST_LAST_VALS; i++) {\n const start = i * stride;\n const end = start + stride;\n lines.push(...subTensorToString(vals.slice(start, end), subshape, dtype, substrides, padPerCol, false /* isLast */));\n }\n lines.push('...');\n for (let i = size - FORMAT_NUM_FIRST_LAST_VALS; i < size; i++) {\n const start = i * stride;\n const end = start + stride;\n lines.push(...subTensorToString(vals.slice(start, end), subshape, dtype, substrides, padPerCol, i === size - 1 /* isLast */));\n }\n }\n else {\n for (let i = 0; i < size; i++) {\n const start = i * stride;\n const end = start + stride;\n lines.push(...subTensorToString(vals.slice(start, end), subshape, dtype, substrides, padPerCol, i === size - 1 /* isLast */));\n }\n }\n const sep = rank === 2 ? ',' : '';\n lines[0] = '[' + lines[0] + sep;\n for (let i = 1; i < lines.length - 1; i++) {\n lines[i] = ' ' + lines[i] + sep;\n }\n let newLineSep = ',\\n';\n for (let i = 2; i < rank; i++) {\n newLineSep += '\\n';\n }\n lines[lines.length - 1] =\n ' ' + lines[lines.length - 1] + ']' + (isLast ? '' : newLineSep);\n return lines;\n}\nfunction createComplexTuples(vals) {\n const complexTuples = [];\n for (let i = 0; i < vals.length; i += 2) {\n complexTuples.push([vals[i], vals[i + 1]]);\n }\n return complexTuples;\n}\n//# sourceMappingURL=tensor_format.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { getGlobal } from './global_util';\nimport { tensorToString } from './tensor_format';\nimport * as util from './util';\nimport { computeStrides, toNestedArray } from './util';\n/**\n * A mutable object, similar to `tf.Tensor`, that allows users to set values\n * at locations before converting to an immutable `tf.Tensor`.\n *\n * See `tf.buffer` for creating a tensor buffer.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\nexport class TensorBuffer {\n constructor(shape, dtype, values) {\n this.dtype = dtype;\n this.shape = shape.slice();\n this.size = util.sizeFromShape(shape);\n if (values != null) {\n const n = values.length;\n util.assert(n === this.size, () => `Length of values '${n}' does not match the size ` +\n `inferred by the shape '${this.size}'.`);\n }\n if (dtype === 'complex64') {\n throw new Error(`complex64 dtype TensorBuffers are not supported. Please create ` +\n `a TensorBuffer for the real and imaginary parts separately and ` +\n `call tf.complex(real, imag).`);\n }\n this.values = values || util.getArrayFromDType(dtype, this.size);\n this.strides = computeStrides(shape);\n }\n /**\n * Sets a value in the buffer at a given location.\n *\n * @param value The value to set.\n * @param locs The location indices.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\n set(value, ...locs) {\n if (locs.length === 0) {\n locs = [0];\n }\n util.assert(locs.length === this.rank, () => `The number of provided coordinates (${locs.length}) must ` +\n `match the rank (${this.rank})`);\n const index = this.locToIndex(locs);\n this.values[index] = value;\n }\n /**\n * Returns the value in the buffer at the provided location.\n *\n * @param locs The location indices.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\n get(...locs) {\n if (locs.length === 0) {\n locs = [0];\n }\n let i = 0;\n for (const loc of locs) {\n if (loc < 0 || loc >= this.shape[i]) {\n const msg = `Requested out of range element at ${locs}. ` +\n ` Buffer shape=${this.shape}`;\n throw new Error(msg);\n }\n i++;\n }\n let index = locs[locs.length - 1];\n for (let i = 0; i < locs.length - 1; ++i) {\n index += this.strides[i] * locs[i];\n }\n return this.values[index];\n }\n locToIndex(locs) {\n if (this.rank === 0) {\n return 0;\n }\n else if (this.rank === 1) {\n return locs[0];\n }\n let index = locs[locs.length - 1];\n for (let i = 0; i < locs.length - 1; ++i) {\n index += this.strides[i] * locs[i];\n }\n return index;\n }\n indexToLoc(index) {\n if (this.rank === 0) {\n return [];\n }\n else if (this.rank === 1) {\n return [index];\n }\n const locs = new Array(this.shape.length);\n for (let i = 0; i < locs.length - 1; ++i) {\n locs[i] = Math.floor(index / this.strides[i]);\n index -= locs[i] * this.strides[i];\n }\n locs[locs.length - 1] = index;\n return locs;\n }\n get rank() {\n return this.shape.length;\n }\n /**\n * Creates an immutable `tf.Tensor` object from the buffer.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\n toTensor() {\n return trackerFn().makeTensor(this.values, this.shape, this.dtype);\n }\n}\n// For tracking tensor creation and disposal.\nlet trackerFn = null;\n// Used by chaining methods to call into ops.\nlet opHandler = null;\n// Used to warn about deprecated methods.\nlet deprecationWarningFn = null;\n// This here so that we can use this method on dev branches and keep the\n// functionality at master.\n// tslint:disable-next-line:no-unused-expression\n[deprecationWarningFn];\n/**\n * An external consumer can register itself as the tensor tracker. This way\n * the Tensor class can notify the tracker for every tensor created and\n * disposed.\n */\nexport function setTensorTracker(fn) {\n trackerFn = fn;\n}\n/**\n * An external consumer can register itself as the op handler. This way the\n * Tensor class can have chaining methods that call into ops via the op\n * handler.\n */\nexport function setOpHandler(handler) {\n opHandler = handler;\n}\n/**\n * Sets the deprecation warning function to be used by this file. This way the\n * Tensor class can be a leaf but still use the environment.\n */\nexport function setDeprecationWarningFn(fn) {\n deprecationWarningFn = fn;\n}\n/**\n * A `tf.Tensor` object represents an immutable, multidimensional array of\n * numbers that has a shape and a data type.\n *\n * For performance reasons, functions that create tensors do not necessarily\n * perform a copy of the data passed to them (e.g. if the data is passed as a\n * `Float32Array`), and changes to the data will change the tensor. This is not\n * a feature and is not supported. To avoid this behavior, use the tensor before\n * changing the input data or create a copy with `copy = tf.add(yourTensor, 0)`.\n *\n * See `tf.tensor` for details on how to create a `tf.Tensor`.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\nexport class Tensor {\n constructor(shape, dtype, dataId, id) {\n /** Whether this tensor has been globally kept. */\n this.kept = false;\n this.isDisposedInternal = false;\n this.shape = shape.slice();\n this.dtype = dtype || 'float32';\n this.size = util.sizeFromShape(shape);\n this.strides = computeStrides(shape);\n this.dataId = dataId;\n this.id = id;\n this.rankType = (this.rank < 5 ? this.rank.toString() : 'higher');\n }\n get rank() {\n return this.shape.length;\n }\n /**\n * Returns a promise of `tf.TensorBuffer` that holds the underlying data.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n async buffer() {\n const vals = await this.data();\n return opHandler.buffer(this.shape, this.dtype, vals);\n }\n /**\n * Returns a `tf.TensorBuffer` that holds the underlying data.\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n bufferSync() {\n return opHandler.buffer(this.shape, this.dtype, this.dataSync());\n }\n /**\n * Returns the tensor data as a nested array. The transfer of data is done\n * asynchronously.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n async array() {\n const vals = await this.data();\n return toNestedArray(this.shape, vals, this.dtype === 'complex64');\n }\n /**\n * Returns the tensor data as a nested array. The transfer of data is done\n * synchronously.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n arraySync() {\n return toNestedArray(this.shape, this.dataSync(), this.dtype === 'complex64');\n }\n /**\n * Asynchronously downloads the values from the `tf.Tensor`. Returns a\n * promise of `TypedArray` that resolves when the computation has finished.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n async data() {\n this.throwIfDisposed();\n const data = trackerFn().read(this.dataId);\n if (this.dtype === 'string') {\n const bytes = await data;\n try {\n return bytes.map(b => util.decodeString(b));\n }\n catch (_a) {\n throw new Error('Failed to decode the string bytes into utf-8. ' +\n 'To get the original bytes, call tensor.bytes().');\n }\n }\n return data;\n }\n /**\n * Synchronously downloads the values from the `tf.Tensor`. This blocks the\n * UI thread until the values are ready, which can cause performance issues.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n dataSync() {\n this.throwIfDisposed();\n const data = trackerFn().readSync(this.dataId);\n if (this.dtype === 'string') {\n try {\n return data.map(b => util.decodeString(b));\n }\n catch (_a) {\n throw new Error('Failed to decode the string bytes into utf-8. ' +\n 'To get the original bytes, call tensor.bytes().');\n }\n }\n return data;\n }\n /** Returns the underlying bytes of the tensor's data. */\n async bytes() {\n this.throwIfDisposed();\n const data = await trackerFn().read(this.dataId);\n if (this.dtype === 'string') {\n return data;\n }\n else {\n return new Uint8Array(data.buffer);\n }\n }\n /**\n * Disposes `tf.Tensor` from memory.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n dispose() {\n if (this.isDisposed) {\n return;\n }\n trackerFn().disposeTensor(this);\n this.isDisposedInternal = true;\n }\n get isDisposed() {\n return this.isDisposedInternal;\n }\n throwIfDisposed() {\n if (this.isDisposed) {\n throw new Error(`Tensor is disposed.`);\n }\n }\n /**\n * Prints the `tf.Tensor`. See `tf.print` for details.\n *\n * @param verbose Whether to print verbose information about the tensor,\n * including dtype and size.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n print(verbose = false) {\n return opHandler.print(this, verbose);\n }\n /**\n * Returns a copy of the tensor. See `tf.clone` for details.\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n clone() {\n this.throwIfDisposed();\n return opHandler.clone(this);\n }\n /**\n * Returns a human-readable description of the tensor. Useful for logging.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n toString(verbose = false) {\n const vals = this.dataSync();\n return tensorToString(vals, this.shape, this.dtype, verbose);\n }\n cast(dtype) {\n this.throwIfDisposed();\n return opHandler.cast(this, dtype);\n }\n variable(trainable = true, name, dtype) {\n this.throwIfDisposed();\n return trackerFn().makeVariable(this, trainable, name, dtype);\n }\n}\nObject.defineProperty(Tensor, Symbol.hasInstance, {\n value: (instance) => {\n // Implementation note: we should use properties of the object that will be\n // defined before the constructor body has finished executing (methods).\n // This is because when this code is transpiled by babel, babel will call\n // classCallCheck before the constructor body is run.\n // See https://github.com/tensorflow/tfjs/issues/3384 for backstory.\n return !!instance && instance.data != null && instance.dataSync != null &&\n instance.throwIfDisposed != null;\n }\n});\nexport function getGlobalTensorClass() {\n // Use getGlobal so that we can augment the Tensor class across package\n // boundaries becase the node resolution alg may result in different modules\n // being returned for this file depending on the path they are loaded from.\n return getGlobal('Tensor', () => {\n return Tensor;\n });\n}\n// Global side effect. Cache global reference to Tensor class\ngetGlobalTensorClass();\n/**\n * A mutable `tf.Tensor`, useful for persisting state, e.g. for training.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\nexport class Variable extends Tensor {\n constructor(initialValue, trainable, name, tensorId) {\n super(initialValue.shape, initialValue.dtype, initialValue.dataId, tensorId);\n this.trainable = trainable;\n this.name = name;\n }\n /**\n * Assign a new `tf.Tensor` to this variable. The new `tf.Tensor` must have\n * the same shape and dtype as the old `tf.Tensor`.\n *\n * @param newValue New tensor to be assigned to this variable.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n assign(newValue) {\n if (newValue.dtype !== this.dtype) {\n throw new Error(`dtype of the new value (${newValue.dtype}) and ` +\n `previous value (${this.dtype}) must match`);\n }\n if (!util.arraysEqual(newValue.shape, this.shape)) {\n throw new Error(`shape of the new value (${newValue.shape}) and ` +\n `previous value (${this.shape}) must match`);\n }\n trackerFn().disposeTensor(this);\n this.dataId = newValue.dataId;\n trackerFn().incRef(this, null /* backend */);\n }\n dispose() {\n trackerFn().disposeVariable(this);\n this.isDisposedInternal = true;\n }\n}\nObject.defineProperty(Variable, Symbol.hasInstance, {\n value: (instance) => {\n return instance instanceof Tensor && instance.assign != null &&\n instance.assign instanceof Function;\n }\n});\n//# sourceMappingURL=tensor.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nexport var Rank;\n(function (Rank) {\n Rank[\"R0\"] = \"R0\";\n Rank[\"R1\"] = \"R1\";\n Rank[\"R2\"] = \"R2\";\n Rank[\"R3\"] = \"R3\";\n Rank[\"R4\"] = \"R4\";\n Rank[\"R5\"] = \"R5\";\n Rank[\"R6\"] = \"R6\";\n})(Rank || (Rank = {}));\n// Looks for upcasting types. Used, for example, in operations with mixed dtype\n// inputs.\nvar UpcastInt32AndMap;\n(function (UpcastInt32AndMap) {\n UpcastInt32AndMap[\"float32\"] = \"float32\";\n UpcastInt32AndMap[\"int32\"] = \"int32\";\n UpcastInt32AndMap[\"bool\"] = \"int32\";\n UpcastInt32AndMap[\"complex64\"] = \"complex64\";\n})(UpcastInt32AndMap || (UpcastInt32AndMap = {}));\nvar UpcastBoolAndMap;\n(function (UpcastBoolAndMap) {\n UpcastBoolAndMap[\"float32\"] = \"float32\";\n UpcastBoolAndMap[\"int32\"] = \"int32\";\n UpcastBoolAndMap[\"bool\"] = \"bool\";\n UpcastBoolAndMap[\"complex64\"] = \"complex64\";\n})(UpcastBoolAndMap || (UpcastBoolAndMap = {}));\nvar UpcastFloat32AndMap;\n(function (UpcastFloat32AndMap) {\n UpcastFloat32AndMap[\"float32\"] = \"float32\";\n UpcastFloat32AndMap[\"int32\"] = \"float32\";\n UpcastFloat32AndMap[\"bool\"] = \"float32\";\n UpcastFloat32AndMap[\"complex64\"] = \"complex64\";\n})(UpcastFloat32AndMap || (UpcastFloat32AndMap = {}));\nvar UpcastComplex64AndMap;\n(function (UpcastComplex64AndMap) {\n UpcastComplex64AndMap[\"float32\"] = \"complex64\";\n UpcastComplex64AndMap[\"int32\"] = \"complex64\";\n UpcastComplex64AndMap[\"bool\"] = \"complex64\";\n UpcastComplex64AndMap[\"complex64\"] = \"complex64\";\n})(UpcastComplex64AndMap || (UpcastComplex64AndMap = {}));\nconst upcastTypeMap = {\n 'float32': UpcastFloat32AndMap,\n 'int32': UpcastInt32AndMap,\n 'bool': UpcastBoolAndMap,\n 'complex64': UpcastComplex64AndMap\n};\nexport function upcastType(typeA, typeB) {\n if (typeA === 'string' || typeB === 'string') {\n if (typeA === 'string' && typeB === 'string') {\n return 'string';\n }\n throw new Error(`Can not upcast ${typeA} with ${typeB}`);\n }\n return upcastTypeMap[typeA][typeB];\n}\n/** Returns the output type after summation. */\nexport function sumOutType(type) {\n return upcastType(type, 'int32');\n}\n//# sourceMappingURL=types.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { Tensor } from './tensor';\nimport { upcastType } from './types';\nimport { assert } from './util';\nexport function makeTypesMatch(a, b) {\n if (a.dtype === b.dtype) {\n return [a, b];\n }\n const dtype = upcastType(a.dtype, b.dtype);\n return [a.cast(dtype), b.cast(dtype)];\n}\nexport function assertTypesMatch(a, b) {\n assert(a.dtype === b.dtype, () => `The dtypes of the first(${a.dtype}) and` +\n ` second(${b.dtype}) input must match`);\n}\nexport function isTensorInList(tensor, tensorList) {\n return tensorList.some(x => x.id === tensor.id);\n}\n/**\n * Extracts any `Tensor`s found within the provided object.\n *\n * @param container an object that may be a `Tensor` or may directly contain\n * `Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. In general it\n * is safe to pass any object here, except that `Promise`s are not\n * supported.\n * @returns An array of `Tensors` found within the passed object. If the\n * argument is simply a `Tensor', a list containing that `Tensor` is\n * returned. If the object is not a `Tensor` or does not\n * contain `Tensors`, an empty list is returned.\n */\nexport function getTensorsInContainer(result) {\n const list = [];\n const seen = new Set();\n walkTensorContainer(result, list, seen);\n return list;\n}\nfunction walkTensorContainer(container, list, seen) {\n if (container == null) {\n return;\n }\n if (container instanceof Tensor) {\n list.push(container);\n return;\n }\n if (!isIterable(container)) {\n return;\n }\n // Iteration over keys works also for arrays.\n const iterable = container;\n for (const k in iterable) {\n const val = iterable[k];\n if (!seen.has(val)) {\n seen.add(val);\n walkTensorContainer(val, list, seen);\n }\n }\n}\n// tslint:disable-next-line:no-any\nfunction isIterable(obj) {\n return Array.isArray(obj) || typeof obj === 'object';\n}\n//# sourceMappingURL=tensor_util.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { KernelBackend } from './backends/backend';\nimport { Environment, setEnvironmentGlobal } from './environment';\nimport { getGlobalNamespace } from './global_util';\nimport { Add, Cast, Identity } from './kernel_names';\nimport { getGradient, getKernel, getKernelsForBackend } from './kernel_registry';\nimport { Profiler } from './profiler';\nimport { backpropagateGradients, getFilteredNodesXToY } from './tape';\nimport { setTensorTracker, Tensor, Variable } from './tensor';\nimport { getTensorsInContainer } from './tensor_util';\nimport * as util from './util';\nimport { bytesFromStringArray, makeOnesTypedArray, now, sizeFromShape } from './util';\nfunction isRegisteredKernelInvocation(kernelInvocation) {\n return kernelInvocation.kernelName != null;\n}\nclass EngineState {\n constructor() {\n // Public since optimizers will use it.\n this.registeredVariables = {};\n this.nextTapeNodeId = 0;\n this.numBytes = 0;\n this.numTensors = 0;\n this.numStringTensors = 0;\n this.numDataBuffers = 0;\n // Number of nested tf.grad() statements when computing higher-order\n // gradients. E.g. `1` for first-order gradients and `2` for second-order\n // gradients. Used to track if the tape should be removed after a backprop.\n this.gradientDepth = 0;\n // Number of nested kernel calls. When kernel depth is greater than 1, we turn\n // off the tape.\n this.kernelDepth = 0;\n this.scopeStack = [];\n /**\n * Keeps track of the number of data moves during a kernel execution. We\n * maintain a stack since kernels can call other kernels, recursively.\n */\n this.numDataMovesStack = [];\n this.nextScopeId = 0;\n this.tensorInfo = new WeakMap();\n this.profiling = false;\n this.activeProfile = {\n newBytes: 0,\n newTensors: 0,\n peakBytes: 0,\n kernels: [],\n result: null,\n get kernelNames() {\n return Array.from(new Set(this.kernels.map(k => k.name)));\n }\n };\n }\n dispose() {\n for (const variableName in this.registeredVariables) {\n this.registeredVariables[variableName].dispose();\n }\n }\n}\nexport class Engine {\n constructor(ENV) {\n this.ENV = ENV;\n this.registry = {};\n this.registryFactory = {};\n this.pendingBackendInitId = 0;\n this.state = new EngineState();\n }\n async ready() {\n if (this.pendingBackendInit != null) {\n return this.pendingBackendInit.then(() => { });\n }\n if (this.backendInstance != null) {\n return;\n }\n const sortedBackends = this.getSortedBackends();\n for (let i = 0; i < sortedBackends.length; i++) {\n const backendName = sortedBackends[i];\n const success = await this.initializeBackend(backendName).success;\n if (success) {\n await this.setBackend(backendName);\n return;\n }\n }\n throw new Error(`Could not initialize any backends, all backend initializations ` +\n `failed.`);\n }\n get backend() {\n if (this.pendingBackendInit != null) {\n throw new Error(`Backend '${this.backendName}' has not yet been initialized. Make ` +\n `sure to await tf.ready() or await tf.setBackend() before calling ` +\n `other methods`);\n }\n if (this.backendInstance == null) {\n const { name, asyncInit } = this.initializeBackendsAndReturnBest();\n if (asyncInit) {\n throw new Error(`The highest priority backend '${name}' has not yet been ` +\n `initialized. Make sure to await tf.ready() or ` +\n `await tf.setBackend() before calling other methods`);\n }\n this.setBackend(name);\n }\n return this.backendInstance;\n }\n backendNames() {\n return Object.keys(this.registryFactory);\n }\n findBackend(backendName) {\n if (!(backendName in this.registry)) {\n // If the backend hasn't been initialized but we have a registry entry for\n // it, initialize it and return it.\n if (backendName in this.registryFactory) {\n const { asyncInit } = this.initializeBackend(backendName);\n if (asyncInit) {\n // Backend is not ready yet.\n return null;\n }\n }\n else {\n return null;\n }\n }\n return this.registry[backendName];\n }\n findBackendFactory(backendName) {\n if (!(backendName in this.registryFactory)) {\n return null;\n }\n return this.registryFactory[backendName].factory;\n }\n registerBackend(backendName, factory, priority = 1) {\n if (backendName in this.registryFactory) {\n console.warn(`${backendName} backend was already registered. ` +\n `Reusing existing backend factory.`);\n return false;\n }\n this.registryFactory[backendName] = { factory, priority };\n return true;\n }\n async setBackend(backendName) {\n if (this.registryFactory[backendName] == null) {\n throw new Error(`Backend name '${backendName}' not found in registry`);\n }\n this.backendName = backendName;\n if (this.registry[backendName] == null) {\n this.backendInstance = null;\n const { success, asyncInit } = this.initializeBackend(backendName);\n const result = asyncInit ? await success : success;\n if (!result) {\n return false;\n }\n }\n this.backendInstance = this.registry[backendName];\n this.setupRegisteredKernels();\n // Reset the profiler.\n this.profiler = new Profiler(this.backendInstance);\n return true;\n }\n setupRegisteredKernels() {\n const kernels = getKernelsForBackend(this.backendName);\n kernels.forEach(kernel => {\n if (kernel.setupFunc != null) {\n kernel.setupFunc(this.backendInstance);\n }\n });\n }\n disposeRegisteredKernels(backendName) {\n const kernels = getKernelsForBackend(backendName);\n kernels.forEach(kernel => {\n if (kernel.disposeFunc != null) {\n kernel.disposeFunc(this.registry[backendName]);\n }\n });\n }\n /**\n * Initializes a backend by looking up the backend name in the factory\n * registry and calling the factory method. Returns a boolean representing\n * whether the initialization of the backend suceeded. Throws an error if\n * there is no backend in the factory registry.\n */\n initializeBackend(backendName) {\n const registryFactoryEntry = this.registryFactory[backendName];\n if (registryFactoryEntry == null) {\n throw new Error(`Cannot initialize backend ${backendName}, no registration found.`);\n }\n try {\n const backend = registryFactoryEntry.factory();\n /* Test if the factory returns a promise.\n Done in a more liberal way than\n previous 'Promise.resolve(backend)===backend'\n as we needed to account for custom Promise\n implementations (e.g. Angular) */\n if (backend && !(backend instanceof KernelBackend) &&\n typeof backend.then === 'function') {\n const promiseId = ++this.pendingBackendInitId;\n const success = backend\n .then(backendInstance => {\n // Outdated promise. Another backend was set in the meantime.\n if (promiseId < this.pendingBackendInitId) {\n return false;\n }\n this.registry[backendName] = backendInstance;\n this.pendingBackendInit = null;\n return true;\n })\n .catch(err => {\n // Outdated promise. Another backend was set in the meantime.\n if (promiseId < this.pendingBackendInitId) {\n return false;\n }\n this.pendingBackendInit = null;\n console.warn(`Initialization of backend ${backendName} failed`);\n console.warn(err.stack || err.message);\n return false;\n });\n this.pendingBackendInit = success;\n return { success, asyncInit: true };\n }\n else {\n this.registry[backendName] = backend;\n return { success: true, asyncInit: false };\n }\n }\n catch (err) {\n console.warn(`Initialization of backend ${backendName} failed`);\n console.warn(err.stack || err.message);\n return { success: false, asyncInit: false };\n }\n }\n removeBackend(backendName) {\n if (!(backendName in this.registryFactory)) {\n throw new Error(`${backendName} backend not found in registry`);\n }\n if (this.backendName === backendName && this.pendingBackendInit != null) {\n // There is a pending promise of the backend we want to remove. Make it\n // obsolete.\n this.pendingBackendInitId++;\n }\n if (backendName in this.registry) {\n this.disposeRegisteredKernels(backendName);\n this.registry[backendName].dispose();\n delete this.registry[backendName];\n }\n delete this.registryFactory[backendName];\n // Unset the backend if it is active.\n if (this.backendName === backendName) {\n this.pendingBackendInit = null;\n this.backendName = null;\n this.backendInstance = null;\n }\n }\n getSortedBackends() {\n if (Object.keys(this.registryFactory).length === 0) {\n throw new Error('No backend found in registry.');\n }\n return Object.keys(this.registryFactory).sort((a, b) => {\n // Highest priority comes first.\n return this.registryFactory[b].priority -\n this.registryFactory[a].priority;\n });\n }\n initializeBackendsAndReturnBest() {\n const sortedBackends = this.getSortedBackends();\n for (let i = 0; i < sortedBackends.length; i++) {\n const backendName = sortedBackends[i];\n const { success, asyncInit } = this.initializeBackend(backendName);\n if (asyncInit || success) {\n return { name: backendName, asyncInit };\n }\n }\n throw new Error(`Could not initialize any backends, all backend initializations ` +\n `failed.`);\n }\n moveData(backend, dataId) {\n const info = this.state.tensorInfo.get(dataId);\n const srcBackend = info.backend;\n const values = this.readSync(dataId);\n const refCount = srcBackend.refCount(dataId);\n // Delete the tensor from the old backend and move it to the new\n // backend.\n srcBackend.disposeData(dataId, true);\n info.backend = backend;\n backend.move(dataId, values, info.shape, info.dtype, refCount);\n if (this.shouldCheckForMemLeaks()) {\n // Track the number of moves during a kernel execution to correctly\n // detect memory leaks.\n this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1]++;\n }\n }\n tidy(nameOrFn, fn) {\n let name = null;\n if (fn == null) {\n // Called with only 1 argument.\n if (typeof nameOrFn !== 'function') {\n throw new Error('Please provide a function to tidy()');\n }\n fn = nameOrFn;\n }\n else {\n // Called with 2 arguments.\n if (typeof nameOrFn !== 'string' && !(nameOrFn instanceof String)) {\n throw new Error('When calling with two arguments, the first argument ' +\n 'to tidy() must be a string');\n }\n if (typeof fn !== 'function') {\n throw new Error('When calling with two arguments, the 2nd argument ' +\n 'to tidy() must be a function');\n }\n name = nameOrFn;\n // TODO(nsthorat,smilkov): Do operation logging and performance\n // profiling.\n }\n let result;\n return this.scopedRun(() => this.startScope(name), () => this.endScope(result), () => {\n result = fn();\n if (result instanceof Promise) {\n console.error('Cannot return a Promise inside of tidy.');\n }\n return result;\n });\n }\n scopedRun(start, end, f) {\n start();\n try {\n const res = f();\n end();\n return res;\n }\n catch (ex) {\n end();\n throw ex;\n }\n }\n nextTensorId() {\n return Engine.nextTensorId++;\n }\n nextVariableId() {\n return Engine.nextVariableId++;\n }\n /**\n * This method is called instead of the public-facing tensor.clone() when\n * saving a tensor for backwards pass. It makes sure to add the clone\n * operation to the tape regardless of being called inside a kernel\n * execution.\n */\n clone(x) {\n const y = ENGINE.runKernel(Identity, { x });\n const inputs = { x };\n const grad = (dy) => ({\n x: () => {\n const dtype = 'float32';\n const gradInputs = { x: dy };\n const attrs = { dtype };\n return ENGINE.runKernel(Cast, gradInputs, \n // tslint:disable-next-line: no-unnecessary-type-assertion\n attrs);\n }\n });\n const saved = [];\n this.addTapeNode(this.state.activeScope.name, inputs, [y], grad, saved, {});\n return y;\n }\n /**\n * Execute a kernel with the given name and return the output tensor.\n *\n * @param kernelName The name of the kernel to execute.\n * @param inputs A map of input names to tensors.\n * @param attrs A map of attribute names to their values. An attribute is a\n * primitive (non-tensor) input to the kernel.\n * @param inputsToSave A list of tensors, inputs to save for the backprop\n * computation.\n * @param outputsToSave A list of booleans, specifying which output to save\n * for the backprop computation. These are booleans since the output\n * tensors are not visible to the user.\n */\n runKernel(kernelName, inputs, attrs) {\n const hasKernel = getKernel(kernelName, this.backendName) != null;\n if (!hasKernel) {\n throw new Error(`Kernel '${kernelName}' not registered for backend '${this.backendName}'`);\n }\n return this.runKernelFunc({ kernelName, inputs, attrs });\n }\n shouldCheckForMemLeaks() {\n return this.ENV.getBool('IS_TEST');\n }\n checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos) {\n const numDataIdsAfter = this.backend.numDataIds();\n // Count the number of data ids associated with the result of the kernel.\n let numOutputDataIds = 0;\n outInfos.forEach(info => {\n // Complex numbers allocate 3 data ids, one for 'real', one for\n // 'imaginary', and one for the container that holds the former two.\n numOutputDataIds += (info.dtype === 'complex64' ? 3 : 1);\n });\n // Account for the number of moves during kernel execution. A \"data move\"\n // can happen in the middle of a kernel execution, placing a new (key,value)\n // pair in the data storage. Since data moves have net zero effect (we\n // always remove the data from the old backend), we have to cancel them out\n // when detecting memory leaks.\n const numMoves = this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1];\n const dataIdsLeaked = numDataIdsAfter - numDataIdsBefore - numOutputDataIds - numMoves;\n if (dataIdsLeaked > 0) {\n throw new Error(`Backend '${this.backendName}' has an internal memory leak ` +\n `(${dataIdsLeaked} data ids) after running '${kernelName}'`);\n }\n }\n /**\n * Internal helper method to execute a kernel Func\n *\n * Use `runKernel` to execute kernels from outside of engine.\n */\n runKernelFunc(kernelParams) {\n let outputs;\n let saved = [];\n const isTapeOn = this.isTapeOn();\n const startingBytecount = this.state.numBytes;\n const startingNumTensors = this.state.numTensors;\n if (this.shouldCheckForMemLeaks()) {\n this.state.numDataMovesStack.push(0);\n }\n let kernelFunc;\n if (this.backendName == null) {\n // backend has not been initialized yet (backend initialization is lazy\n // can be deferred until an op/ kernel is run).\n // The below getter has side effects that will try to initialize the\n // backend and set properties like this.backendName\n // tslint:disable-next-line: no-unused-expression\n this.backend;\n }\n let out;\n const kernelOrScopeName = isRegisteredKernelInvocation(kernelParams) ?\n kernelParams.kernelName :\n this.state.activeScope != null ? this.state.activeScope.name : '';\n // Create the kernelFunc from either a registered kernel OR passed in\n // forward/backward functions (used by custom grad). In this context a\n // kernelFunc wraps a kernel implementation with some bookkeeping.\n if (isRegisteredKernelInvocation(kernelParams)) {\n const { kernelName, inputs, attrs } = kernelParams;\n if (this.backendName == null) {\n // backend has not been initialized yet (backend initialization is lazy\n // can be deferred until an op/ kernel is run).\n // The below getter has side effects that will try to initialize the\n // backend and set properties like this.backendName\n // tslint:disable-next-line: no-unused-expression\n this.backend;\n }\n const kernel = getKernel(kernelName, this.backendName);\n util.assert(kernel != null, () => `Cannot find registered kernel '${kernelName}' for backend '${this.backendName}'`);\n kernelFunc = () => {\n const numDataIdsBefore = this.backend.numDataIds();\n out = kernel.kernelFunc({ inputs, attrs, backend: this.backend });\n const outInfos = Array.isArray(out) ? out : [out];\n if (this.shouldCheckForMemLeaks()) {\n this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos);\n }\n const outTensors = outInfos.map((outInfo) => {\n // todo (yassogba) remove this option (Tensor) when node backend\n // methods have been modularized and they all return tensorInfo.\n // TensorInfos do not have a rank attribute.\n if (outInfo.rank != null) {\n return outInfo;\n }\n const { dataId, shape, dtype } = outInfo;\n return this.makeTensorFromDataId(dataId, shape, dtype);\n });\n // Save any required inputs and outputs.\n // Do not save unless we are recording to the tape. Otherwise it would\n // cause a mem leak since there would be no backprop for these tensors\n // (which would otherwise dispose them).\n if (isTapeOn) {\n const tensorsToSave = this.getTensorsForGradient(kernelName, inputs, outTensors);\n saved = this.saveTensorsForBackwardMode(tensorsToSave);\n }\n return outTensors;\n };\n }\n else {\n const { forwardFunc } = kernelParams;\n // Running a customGrad op.\n const saveFunc = (tensors) => {\n // Do not save unless we are recording to the tape. Otherwise it would\n // cause a mem leak since we would never run backprop, which disposes\n // the kept tensors.\n if (!isTapeOn) {\n return;\n }\n saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n };\n kernelFunc = () => {\n const numDataIdsBefore = this.backend.numDataIds();\n out = this.tidy(() => forwardFunc(this.backend, saveFunc));\n const outs = (Array.isArray(out) ? out : [out]);\n if (this.shouldCheckForMemLeaks()) {\n // Scope name is used to print a more helpful error message if needed.\n this.checkKernelForMemLeak(kernelOrScopeName, numDataIdsBefore, outs);\n }\n return outs;\n };\n }\n //\n // Run the kernelFunc. Optionally profiling it.\n //\n const { inputs, attrs } = kernelParams;\n const backwardsFunc = isRegisteredKernelInvocation(kernelParams) ?\n null :\n kernelParams.backwardsFunc;\n let kernelProfile;\n this.scopedRun(\n // Stop recording to a tape when running a kernel.\n () => this.state.kernelDepth++, () => this.state.kernelDepth--, () => {\n if (!this.ENV.getBool('DEBUG') && !this.state.profiling) {\n outputs = kernelFunc();\n }\n else {\n kernelProfile = this.profiler.profileKernel(kernelOrScopeName, inputs, () => kernelFunc());\n if (this.ENV.getBool('DEBUG')) {\n this.profiler.logKernelProfile(kernelProfile);\n }\n outputs = kernelProfile.outputs;\n }\n });\n if (isTapeOn) {\n this.addTapeNode(kernelOrScopeName, inputs, outputs, backwardsFunc, saved, attrs);\n }\n if (this.state.profiling) {\n this.state.activeProfile.kernels.push({\n name: kernelOrScopeName,\n bytesAdded: this.state.numBytes - startingBytecount,\n totalBytesSnapshot: this.state.numBytes,\n tensorsAdded: this.state.numTensors - startingNumTensors,\n totalTensorsSnapshot: this.state.numTensors,\n inputShapes: Object.keys(inputs).map(key => inputs[key] != null ? inputs[key].shape : null),\n outputShapes: outputs.map(item => item.shape),\n kernelTimeMs: kernelProfile.timeMs,\n extraInfo: kernelProfile.extraInfo\n });\n }\n return (Array.isArray(out) ? outputs : outputs[0]);\n }\n /**\n * Saves tensors used in forward mode for use in backward mode.\n *\n * @param tensors the list of tensors to save.\n */\n saveTensorsForBackwardMode(tensors) {\n const saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n return saved;\n }\n /**\n * Returns a list of tensors to save for a given gradient calculation.\n *\n * @param kernelName name of kernel to look up gradient for.\n * @param inputs a map of input tensors.\n * @param outputs an array of output tensors from forward mode of kernel.\n */\n getTensorsForGradient(kernelName, inputs, outputs) {\n const gradConfig = getGradient(kernelName);\n if (gradConfig != null) {\n const inputsToSave = gradConfig.inputsToSave || [];\n const outputsToSave = gradConfig.outputsToSave || [];\n // If saveAllInputs is true, all inputs will be saved. Otherwise, inputs\n // specified in inputsToSave will be saved.\n let inputTensorsToSave;\n if (gradConfig.saveAllInputs) {\n util.assert(Array.isArray(inputs), () => 'saveAllInputs is true, expected inputs to be an array.');\n inputTensorsToSave = Object.keys(inputs).map((key) => inputs[key]);\n }\n else {\n inputTensorsToSave = inputsToSave.map((inputName) => inputs[inputName]);\n }\n const outputTensorsToSave = outputs.filter((_, i) => outputsToSave[i]);\n return inputTensorsToSave.concat(outputTensorsToSave);\n }\n // We return an empty list rather than throw an error because the kernel we\n // are looking up may not actually be relevant to backproping through the\n // overall function\n //\n // See 'does not error if irrelevant (pruned) ops are missing grads' test\n // in gradients_test.ts for an example.\n return [];\n }\n /**\n * Internal method used by public APIs for tensor creation. Makes a new\n * tensor with the provided shape, dtype and values. It always\n * creates a new data id and writes the values to the underlying backend.\n */\n makeTensor(values, shape, dtype, backend) {\n if (values == null) {\n throw new Error('Values passed to engine.makeTensor() are null');\n }\n dtype = dtype || 'float32';\n backend = backend || this.backend;\n let backendVals = values;\n if (dtype === 'string' && util.isString(values[0])) {\n backendVals = values.map(d => util.encodeString(d));\n }\n const dataId = backend.write(backendVals, shape, dtype);\n const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n this.trackTensor(t, backend);\n // Count bytes for string tensors.\n if (dtype === 'string') {\n const info = this.state.tensorInfo.get(dataId);\n const newBytes = bytesFromStringArray(backendVals);\n this.state.numBytes += newBytes - info.bytes;\n info.bytes = newBytes;\n }\n return t;\n }\n /**\n * Internal method used by backends. Makes a new tensor\n * that is a wrapper around an existing data id. It doesn't create\n * a new data id, only increments the ref count used in memory tracking.\n */\n makeTensorFromDataId(dataId, shape, dtype, backend) {\n dtype = dtype || 'float32';\n const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n this.trackTensor(t, backend);\n return t;\n }\n makeVariable(initialValue, trainable = true, name, dtype) {\n name = name || this.nextVariableId().toString();\n if (dtype != null && dtype !== initialValue.dtype) {\n initialValue = initialValue.cast(dtype);\n }\n const v = new Variable(initialValue, trainable, name, this.nextTensorId());\n if (this.state.registeredVariables[v.name] != null) {\n throw new Error(`Variable with name ${v.name} was already registered`);\n }\n this.state.registeredVariables[v.name] = v;\n this.incRef(v, this.backend);\n return v;\n }\n trackTensor(a, backend) {\n this.state.numTensors++;\n if (a.dtype === 'string') {\n this.state.numStringTensors++;\n }\n // Bytes for complex numbers are counted by their components. Bytes for\n // string tensors are counted when writing values.\n let bytes = 0;\n if (a.dtype !== 'complex64' && a.dtype !== 'string') {\n bytes = a.size * util.bytesPerElement(a.dtype);\n }\n this.state.numBytes += bytes;\n if (!this.state.tensorInfo.has(a.dataId)) {\n this.state.numDataBuffers++;\n this.state.tensorInfo.set(a.dataId, {\n backend: backend || this.backend,\n dtype: a.dtype,\n shape: a.shape,\n bytes\n });\n }\n if (!(a instanceof Variable)) {\n this.track(a);\n }\n }\n // Track the tensor by dataId and increase the refCount for the dataId in the\n // backend.\n // TODO(pyu10055): This is currently used by makeVariable method, to increase\n // refCount on the backend for the dataId. It can potentially be replaced with\n // Identity op indead of calling backend directly.\n incRef(a, backend) {\n this.trackTensor(a, backend);\n this.backend.incRef(a.dataId);\n }\n removeDataId(dataId, backend) {\n if (this.state.tensorInfo.has(dataId) &&\n this.state.tensorInfo.get(dataId).backend === backend) {\n this.state.tensorInfo.delete(dataId);\n this.state.numDataBuffers--;\n }\n }\n disposeTensor(a) {\n if (!this.state.tensorInfo.has(a.dataId)) {\n return;\n }\n const info = this.state.tensorInfo.get(a.dataId);\n this.state.numTensors--;\n if (a.dtype === 'string') {\n this.state.numStringTensors--;\n this.state.numBytes -= info.bytes;\n }\n // Don't count bytes for complex numbers as they are counted by their\n // components.\n if (a.dtype !== 'complex64' && a.dtype !== 'string') {\n const bytes = a.size * util.bytesPerElement(a.dtype);\n this.state.numBytes -= bytes;\n }\n // Remove the reference to dataId if backend dispose the data successfully\n if (info.backend.disposeData(a.dataId)) {\n this.removeDataId(a.dataId, info.backend);\n }\n // TODO(nsthorat): Construct an error and save the stack trace for\n // debugging when in debug mode. Creating a stack trace is too expensive\n // to do unconditionally.\n }\n disposeVariables() {\n for (const varName in this.state.registeredVariables) {\n const v = this.state.registeredVariables[varName];\n this.disposeVariable(v);\n }\n }\n disposeVariable(v) {\n this.disposeTensor(v);\n if (this.state.registeredVariables[v.name] != null) {\n delete this.state.registeredVariables[v.name];\n }\n }\n memory() {\n const info = this.backend.memory();\n info.numTensors = this.state.numTensors;\n info.numDataBuffers = this.state.numDataBuffers;\n info.numBytes = this.state.numBytes;\n if (this.state.numStringTensors > 0) {\n info.unreliable = true;\n if (info.reasons == null) {\n info.reasons = [];\n }\n info.reasons.push('Memory usage by string tensors is approximate ' +\n '(2 bytes per character)');\n }\n return info;\n }\n async profile(query) {\n this.state.profiling = true;\n const startBytes = this.state.numBytes;\n const startNumTensors = this.state.numTensors;\n this.state.activeProfile.kernels = [];\n this.state.activeProfile.result = await query();\n this.state.profiling = false;\n this.state.activeProfile.peakBytes = Math.max(...this.state.activeProfile.kernels.map(d => d.totalBytesSnapshot));\n this.state.activeProfile.newBytes = this.state.numBytes - startBytes;\n this.state.activeProfile.newTensors =\n this.state.numTensors - startNumTensors;\n for (const kernel of this.state.activeProfile.kernels) {\n kernel.kernelTimeMs = await kernel.kernelTimeMs;\n kernel.extraInfo = await kernel.extraInfo;\n }\n return this.state.activeProfile;\n }\n isTapeOn() {\n return this.state.gradientDepth > 0 && this.state.kernelDepth === 0;\n }\n addTapeNode(kernelName, inputs, outputs, gradientsFunc, saved, attrs) {\n const tapeNode = { id: this.state.nextTapeNodeId++, kernelName, inputs, outputs, saved };\n const gradConfig = getGradient(kernelName);\n if (gradConfig != null) {\n gradientsFunc = gradConfig.gradFunc;\n }\n if (gradientsFunc != null) {\n tapeNode.gradient = (dys) => {\n // TODO(smilkov): To optimize back-prop, pass dys that are not used in\n // the backprop graph to the user as null instead of zeros\n dys = dys.map((dy, i) => {\n if (dy == null) {\n const output = outputs[i];\n const vals = util.makeZerosTypedArray(output.size, output.dtype);\n return this.makeTensor(vals, output.shape, output.dtype);\n }\n return dy;\n });\n // Grad functions of ops with single outputs expect a dy, while ops\n // with multiple outputs expect dys (array of dy).\n return gradientsFunc(dys.length > 1 ? dys : dys[0], saved, attrs);\n };\n }\n this.state.activeTape.push(tapeNode);\n }\n keep(result) {\n result.kept = true;\n return result;\n }\n startTape() {\n if (this.state.gradientDepth === 0) {\n this.state.activeTape = [];\n }\n this.state.gradientDepth++;\n }\n endTape() {\n this.state.gradientDepth--;\n }\n /**\n * Start a scope. Use this with endScope() to achieve the same functionality\n * as scope() without the need for a function closure.\n */\n startScope(name) {\n const scopeInfo = {\n track: [],\n name: 'unnamed scope',\n id: this.state.nextScopeId++\n };\n if (name) {\n scopeInfo.name = name;\n }\n this.state.scopeStack.push(scopeInfo);\n this.state.activeScope = scopeInfo;\n }\n /**\n * End a scope. Use this with startScope() to achieve the same functionality\n * as scope() without the need for a function closure.\n */\n endScope(result) {\n const tensorsToTrackInParent = getTensorsInContainer(result);\n const tensorsToTrackInParentSet = new Set(tensorsToTrackInParent.map(t => t.id));\n // Dispose the arrays tracked in this scope.\n for (let i = 0; i < this.state.activeScope.track.length; i++) {\n const tensor = this.state.activeScope.track[i];\n if (!tensor.kept && !tensorsToTrackInParentSet.has(tensor.id)) {\n tensor.dispose();\n }\n }\n const oldScope = this.state.scopeStack.pop();\n this.state.activeScope = this.state.scopeStack.length === 0 ?\n null :\n this.state.scopeStack[this.state.scopeStack.length - 1];\n // Track the current result in the parent scope.\n tensorsToTrackInParent.forEach(tensor => {\n // Only track the tensor if was allocated in the inner scope and is not\n // globally kept.\n if (!tensor.kept && tensor.scopeId === oldScope.id) {\n this.track(tensor);\n }\n });\n }\n /**\n * Returns gradients of `f` with respect to each of the `xs`. The gradients\n * returned are of the same length as `xs`, but some might be null if `f`\n * was not a function of that `x`. It also takes optional dy to multiply the\n * gradient, which defaults to `1`.\n */\n gradients(f, xs, dy, allowNoGradients = false) {\n util.assert(xs.length > 0, () => 'gradients() received an empty list of xs.');\n if (dy != null && dy.dtype !== 'float32') {\n throw new Error(`dy must have 'float32' dtype, but has '${dy.dtype}'`);\n }\n const y = this.scopedRun(() => this.startTape(), () => this.endTape(), () => this.tidy('forward', f));\n util.assert(y instanceof Tensor, () => 'The result y returned by f() must be a tensor.');\n // Filter out the nodes that don't connect x => y.\n const filteredTape = getFilteredNodesXToY(this.state.activeTape, xs, y);\n if (!allowNoGradients && filteredTape.length === 0 && xs.length > 0) {\n throw new Error('Cannot compute gradient of y=f(x) with respect to x. Make sure ' +\n 'that the f you passed encloses all operations that lead from x ' +\n 'to y.');\n }\n return this.tidy('backward', () => {\n const accumulatedGradientMap = {};\n accumulatedGradientMap[y.id] = (dy == null) ? ones(y.shape) : dy;\n // Backprop gradients through the filtered nodes.\n backpropagateGradients(accumulatedGradientMap, filteredTape, \n // Pass the tidy function to avoid circular dep with `tape.ts`.\n f => this.tidy(f), \n // Pass an add function to avoide a circular dep with `tape.ts`.\n add);\n const grads = xs.map(x => accumulatedGradientMap[x.id]);\n if (this.state.gradientDepth === 0) {\n // This means that we are not computing higher-order gradients\n // and can clean up the tape.\n this.state.activeTape.forEach(node => {\n for (const tensor of node.saved) {\n tensor.dispose();\n }\n });\n this.state.activeTape = null;\n }\n return { value: y, grads };\n });\n }\n customGrad(f) {\n util.assert(util.isFunction(f), () => 'The f passed in customGrad(f) must be a function.');\n return (...inputs) => {\n util.assert(inputs.every(t => t instanceof Tensor), () => 'The args passed in customGrad(f)(x1, x2,...) must all be ' +\n 'tensors');\n let res;\n const inputMap = {};\n inputs.forEach((input, i) => {\n inputMap[i] = input;\n });\n const forwardFunc = (_, save) => {\n res = f(...[...inputs, save]);\n util.assert(res.value instanceof Tensor, () => 'The function f passed in customGrad(f) must return an ' +\n 'object where `obj.value` is a tensor');\n util.assert(util.isFunction(res.gradFunc), () => 'The function f passed in customGrad(f) must return an ' +\n 'object where `obj.gradFunc` is a function.');\n return res.value;\n };\n const backwardsFunc = (dy, saved) => {\n const gradRes = res.gradFunc(dy, saved);\n const grads = Array.isArray(gradRes) ? gradRes : [gradRes];\n util.assert(grads.length === inputs.length, () => 'The function f passed in customGrad(f) must return an ' +\n 'object where `obj.gradFunc` is a function that returns ' +\n 'the same number of tensors as inputs passed to f(...).');\n util.assert(grads.every(t => t instanceof Tensor), () => 'The function f passed in customGrad(f) must return an ' +\n 'object where `obj.gradFunc` is a function that returns ' +\n 'a list of only tensors.');\n const gradMap = {};\n grads.forEach((grad, i) => {\n gradMap[i] = () => grad;\n });\n return gradMap;\n };\n return this.runKernelFunc({\n forwardFunc,\n backwardsFunc,\n inputs: inputMap,\n });\n };\n }\n readSync(dataId) {\n // Route the read to the correct backend.\n const info = this.state.tensorInfo.get(dataId);\n return info.backend.readSync(dataId);\n }\n read(dataId) {\n // Route the read to the correct backend.\n const info = this.state.tensorInfo.get(dataId);\n return info.backend.read(dataId);\n }\n async time(query) {\n const start = now();\n const timingInfo = await this.backend.time(query);\n timingInfo.wallMs = now() - start;\n return timingInfo;\n }\n /**\n * Tracks a Tensor in the current scope to be automatically cleaned up\n * when the current scope ends, and returns the value.\n *\n * @param result The Tensor to track in the current scope.\n */\n track(result) {\n if (this.state.activeScope != null) {\n result.scopeId = this.state.activeScope.id;\n this.state.activeScope.track.push(result);\n }\n return result;\n }\n get registeredVariables() {\n return this.state.registeredVariables;\n }\n /**\n * Resets the engine state. Removes all backends but does not remove\n * registered backend factories.\n */\n reset() {\n // Make any pending promise obsolete.\n this.pendingBackendInitId++;\n this.state.dispose();\n this.ENV.reset();\n this.state = new EngineState();\n for (const backendName in this.registry) {\n this.disposeRegisteredKernels(backendName);\n this.registry[backendName].dispose();\n delete this.registry[backendName];\n }\n this.backendName = null;\n this.backendInstance = null;\n this.pendingBackendInit = null;\n }\n}\nEngine.nextTensorId = 0;\nEngine.nextVariableId = 0;\nfunction ones(shape) {\n const values = makeOnesTypedArray(sizeFromShape(shape), 'float32');\n return ENGINE.makeTensor(values, shape, 'float32');\n}\nexport function getOrMakeEngine() {\n const ns = getGlobalNamespace();\n if (ns._tfengine == null) {\n const environment = new Environment(ns);\n ns._tfengine = new Engine(environment);\n }\n setEnvironmentGlobal(ns._tfengine.ENV);\n // Tell the current tensor interface that the global engine is responsible\n // for tracking.\n setTensorTracker(() => ns._tfengine);\n return ns._tfengine;\n}\nexport const ENGINE = getOrMakeEngine();\n/**\n * A implementation of the add op for use within engine and tape.\n *\n * This allows us to avoid a circular dependency between add.ts and engine.\n * It is exported to be available in tape tests.\n */\nexport function add(a, b) {\n // We duplicate Add here to avoid a circular dependency with add.ts.\n const inputs = { a, b };\n return ENGINE.runKernel(Add, inputs);\n}\n//# sourceMappingURL=engine.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport * as util from './util';\n/**\n * Computes a list of TapeNodes that connect x to y, filtering everything else\n * out and preserving the order of the original tape elements.\n *\n * @param tape The tape elements to filter.\n * @param xs The input Tensors.\n * @param y The output Tensor.\n */\nexport function getFilteredNodesXToY(tape, xs, y) {\n // Forward pass to compute all the nodes and Tensors that are transitively a\n // function of x.\n const tensorsFromX = {};\n const nodesFromX = {};\n for (let i = 0; i < xs.length; i++) {\n tensorsFromX[xs[i].id] = true;\n }\n for (let i = 0; i < tape.length; i++) {\n const node = tape[i];\n const nodeInputs = node.inputs;\n for (const inputName in nodeInputs) {\n const input = nodeInputs[inputName];\n let anyInputFromX = false;\n for (let j = 0; j < xs.length; j++) {\n if (tensorsFromX[input.id]) {\n node.outputs.forEach(output => tensorsFromX[output.id] = true);\n anyInputFromX = true;\n nodesFromX[node.id] = true;\n break;\n }\n }\n if (anyInputFromX) {\n break;\n }\n }\n }\n // Backward pass to find all of the nodes and Tensors that lead to y.\n const tensorsLeadToY = {};\n tensorsLeadToY[y.id] = true;\n const nodesToY = {};\n for (let i = tape.length - 1; i >= 0; i--) {\n const node = tape[i];\n const nodeInputs = node.inputs;\n // If any of the outputs lead to y, mark all of the inputs as leading to y.\n for (let j = 0; j < node.outputs.length; j++) {\n if (tensorsLeadToY[node.outputs[j].id]) {\n for (const inputName in nodeInputs) {\n tensorsLeadToY[nodeInputs[inputName].id] = true;\n nodesToY[node.id] = true;\n }\n break;\n }\n }\n }\n // Return the paths that come from x and lead to y.\n const filteredTape = [];\n for (let i = 0; i < tape.length; i++) {\n const node = tape[i];\n if (nodesFromX[node.id] && nodesToY[node.id]) {\n // Prune the inputs from the node that aren't a function of x.\n const prunedInputs = {};\n for (const inputName in node.inputs) {\n const nodeInput = node.inputs[inputName];\n if (tensorsFromX[nodeInput.id]) {\n prunedInputs[inputName] = nodeInput;\n }\n }\n // Copy the node and overwrite inputsAndArgs to the pruned version.\n const prunedNode = Object.assign({}, node);\n prunedNode.inputs = prunedInputs;\n prunedNode.outputs = node.outputs;\n filteredTape.push(prunedNode);\n }\n }\n return filteredTape;\n}\n/**\n * Backpropagate gradients through the filtered TapeNodes.\n *\n * @param tensorAccumulatedGradientMap A map of Tensor to its gradient. This map\n * is mutated by this method.\n * @param filteredTape The filtered TapeNodes to backprop through.\n */\nexport function backpropagateGradients(tensorAccumulatedGradientMap, filteredTape, tidy, add) {\n // Walk the tape backward and keep a map of Tensor to its gradient.\n for (let i = filteredTape.length - 1; i >= 0; i--) {\n const node = filteredTape[i];\n const dys = [];\n node.outputs.forEach(o => {\n const gradTensor = tensorAccumulatedGradientMap[o.id];\n if (gradTensor != null) {\n dys.push(gradTensor);\n }\n else {\n // This particular output is not in the back-propagation subgraph, so it\n // does not affect the final output, thus we put null for its dy.\n dys.push(null);\n }\n });\n if (node.gradient == null) {\n throw new Error(`Cannot compute gradient: gradient function not found ` +\n `for ${node.kernelName}.`);\n }\n // Backprop dy through this node and accumulate gradients over the inputs.\n const inputGradients = node.gradient(dys);\n for (const inputName in node.inputs) {\n if (!(inputName in inputGradients)) {\n throw new Error(`Cannot backprop through input ${inputName}. ` +\n `Available gradients found: ${Object.keys(inputGradients)}.`);\n }\n // Call the gradient function.\n const dx = tidy(() => inputGradients[inputName]());\n if (dx.dtype !== 'float32') {\n throw new Error(`Error in gradient for op ${node.kernelName}. The gradient of input ` +\n `${inputName} must have 'float32' dtype, but has '${dx.dtype}'`);\n }\n const x = node.inputs[inputName];\n if (!util.arraysEqual(dx.shape, x.shape)) {\n throw new Error(`Error in gradient for op ${node.kernelName}. The gradient of input ` +\n `'${inputName}' has shape '${dx.shape}', which does not match ` +\n `the shape of the input '${x.shape}'`);\n }\n if (tensorAccumulatedGradientMap[x.id] == null) {\n tensorAccumulatedGradientMap[x.id] = dx;\n }\n else {\n const curGradient = tensorAccumulatedGradientMap[x.id];\n tensorAccumulatedGradientMap[x.id] = add(curGradient, dx);\n curGradient.dispose();\n }\n }\n }\n}\n//# sourceMappingURL=tape.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// tslint:disable-next-line:no-any\nfunction _isNavigatorDefined() {\n return typeof navigator !== 'undefined' && navigator != null;\n}\nexport function isMobile(nav) {\n if (nav || _isNavigatorDefined()) {\n if (!nav) {\n nav = navigator;\n }\n if (nav.product === 'ReactNative') {\n return true;\n }\n // tslint:disable-next-line:no-any\n const a = nav.userAgent || nav.vendor || window.opera;\n // tslint:disable-next-line:max-line-length\n return /(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i\n .test(a) ||\n // tslint:disable-next-line:max-line-length\n /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i\n .test(a.substr(0, 4));\n }\n return false;\n}\nexport function isBrowser() {\n return (typeof window !== 'undefined' && window.document != null) ||\n //@ts-ignore\n (typeof WorkerGlobalScope !== 'undefined');\n}\n//# sourceMappingURL=device_util.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport './engine';\nimport * as device_util from './device_util';\nimport { env } from './environment';\nconst ENV = env();\n/**\n * This file contains environment-related flag registrations.\n */\n/** Whether to enable debug mode. */\nENV.registerFlag('DEBUG', () => false, debugValue => {\n if (debugValue) {\n console.warn('Debugging mode is ON. The output of every math call will ' +\n 'be downloaded to CPU and checked for NaNs. ' +\n 'This significantly impacts performance.');\n }\n});\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag('IS_BROWSER', () => device_util.isBrowser());\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag('IS_NODE', () => (typeof process !== 'undefined') &&\n (typeof process.versions !== 'undefined') &&\n (typeof process.versions.node !== 'undefined'));\n/** Whether this browser is Chrome. */\nENV.registerFlag('IS_CHROME', () => typeof navigator !== 'undefined' && navigator != null &&\n navigator.userAgent != null && /Chrome/.test(navigator.userAgent) &&\n /Google Inc/.test(navigator.vendor));\n/**\n * True when the environment is \"production\" where we disable safety checks\n * to gain performance.\n */\nENV.registerFlag('PROD', () => false);\n/**\n * Whether to do sanity checks when inferring a shape from user-provided\n * values, used when creating a new tensor.\n */\nENV.registerFlag('TENSORLIKE_CHECK_SHAPE_CONSISTENCY', () => ENV.getBool('DEBUG'));\n/** Whether deprecation warnings are enabled. */\nENV.registerFlag('DEPRECATION_WARNINGS_ENABLED', () => true);\n/** True if running unit tests. */\nENV.registerFlag('IS_TEST', () => false);\n/** Whether to check computation result for errors. */\nENV.registerFlag('CHECK_COMPUTATION_FOR_ERRORS', () => true);\n/** Whether the backend needs to wrap input to imageBitmap. */\nENV.registerFlag('WRAP_TO_IMAGEBITMAP', () => false);\n//# sourceMappingURL=flags.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from './engine';\nimport { env } from './environment';\nimport { Tensor } from './tensor';\nimport { assert, flatten, inferDtype, isTypedArray, toTypedArray } from './util';\nexport function inferShape(val, dtype) {\n let firstElem = val;\n if (isTypedArray(val)) {\n return dtype === 'string' ? [] : [val.length];\n }\n if (!Array.isArray(val)) {\n return []; // Scalar.\n }\n const shape = [];\n while (Array.isArray(firstElem) ||\n isTypedArray(firstElem) && dtype !== 'string') {\n shape.push(firstElem.length);\n firstElem = firstElem[0];\n }\n if (Array.isArray(val) &&\n env().getBool('TENSORLIKE_CHECK_SHAPE_CONSISTENCY')) {\n deepAssertShapeConsistency(val, shape, []);\n }\n return shape;\n}\nfunction deepAssertShapeConsistency(val, shape, indices) {\n indices = indices || [];\n if (!(Array.isArray(val)) && !isTypedArray(val)) {\n assert(shape.length === 0, () => `Element arr[${indices.join('][')}] is a primitive, ` +\n `but should be an array/TypedArray of ${shape[0]} elements`);\n return;\n }\n assert(shape.length > 0, () => `Element arr[${indices.join('][')}] should be a primitive, ` +\n `but is an array of ${val.length} elements`);\n assert(val.length === shape[0], () => `Element arr[${indices.join('][')}] should have ${shape[0]} ` +\n `elements, but has ${val.length} elements`);\n const subShape = shape.slice(1);\n for (let i = 0; i < val.length; ++i) {\n deepAssertShapeConsistency(val[i], subShape, indices.concat(i));\n }\n}\nfunction assertDtype(expectedDtype, actualDType, argName, functionName) {\n if (expectedDtype === 'string_or_numeric') {\n return;\n }\n if (expectedDtype == null) {\n throw new Error(`Expected dtype cannot be null.`);\n }\n if (expectedDtype !== 'numeric' && expectedDtype !== actualDType ||\n expectedDtype === 'numeric' && actualDType === 'string') {\n throw new Error(`Argument '${argName}' passed to '${functionName}' must ` +\n `be ${expectedDtype} tensor, but got ${actualDType} tensor`);\n }\n}\nexport function convertToTensor(x, argName, functionName, parseAsDtype = 'numeric') {\n if (x instanceof Tensor) {\n assertDtype(parseAsDtype, x.dtype, argName, functionName);\n return x;\n }\n let inferredDtype = inferDtype(x);\n // If the user expects a bool/int/float, use that info to update the\n // inferredDtype when it is not a string.\n if (inferredDtype !== 'string' &&\n ['bool', 'int32', 'float32'].indexOf(parseAsDtype) >= 0) {\n inferredDtype = parseAsDtype;\n }\n assertDtype(parseAsDtype, inferredDtype, argName, functionName);\n if ((x == null) ||\n (!isTypedArray(x) && !Array.isArray(x) && typeof x !== 'number' &&\n typeof x !== 'boolean' && typeof x !== 'string')) {\n const type = x == null ? 'null' : x.constructor.name;\n throw new Error(`Argument '${argName}' passed to '${functionName}' must be a ` +\n `Tensor or TensorLike, but got '${type}'`);\n }\n const inferredShape = inferShape(x, inferredDtype);\n if (!isTypedArray(x) && !Array.isArray(x)) {\n x = [x];\n }\n const skipTypedArray = true;\n const values = inferredDtype !== 'string' ?\n toTypedArray(x, inferredDtype) :\n flatten(x, [], skipTypedArray);\n return ENGINE.makeTensor(values, inferredShape, inferredDtype);\n}\nexport function convertToTensorArray(arg, argName, functionName, parseAsDtype = 'numeric') {\n if (!Array.isArray(arg)) {\n throw new Error(`Argument ${argName} passed to ${functionName} must be a ` +\n '`Tensor[]` or `TensorLike[]`');\n }\n const tensors = arg;\n return tensors.map((t, i) => convertToTensor(t, `${argName}[${i}]`, functionName, parseAsDtype));\n}\n//# sourceMappingURL=tensor_util_env.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { isPromise } from '../util';\nexport const OP_SCOPE_SUFFIX = '__op';\n/**\n * Used for wrapping functions that perform math operations on\n * Tensors. The function will be wrapped in a named scope that cleans all\n * memory usage after the function is done.\n */\nexport function op(f) {\n const keys = Object.keys(f);\n if (keys.length !== 1) {\n throw new Error(`Please provide an object with a single key ` +\n `(operation name) mapping to a function. Got an object with ` +\n `${keys.length} keys.`);\n }\n let opName = keys[0];\n const fn = f[opName];\n // Strip the underscore from the end of the function name.\n if (opName.endsWith('_')) {\n opName = opName.substring(0, opName.length - 1);\n }\n // add an __op suffix to distinguish ops from kernels in tf.profile\n opName = opName + OP_SCOPE_SUFFIX;\n // tslint:disable-next-line:no-any\n const f2 = (...args) => {\n ENGINE.startScope(opName);\n try {\n const result = fn(...args);\n if (isPromise(result)) {\n console.error('Cannot return a Promise inside of tidy.');\n }\n ENGINE.endScope(result);\n return result;\n }\n catch (ex) {\n ENGINE.endScope(null);\n throw ex;\n }\n };\n Object.defineProperty(f2, 'name', { value: opName, configurable: true });\n // tslint:disable-next-line:no-any\n return f2;\n}\n//# sourceMappingURL=operation.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { Complex } from '../kernel_names';\nimport { convertToTensor } from '../tensor_util_env';\nimport * as util from '../util';\nimport { op } from './operation';\n/**\n * Converts two real numbers to a complex number.\n *\n * Given a tensor `real` representing the real part of a complex number, and a\n * tensor `imag` representing the imaginary part of a complex number, this\n * operation returns complex numbers elementwise of the form [r0, i0, r1, i1],\n * where r represents the real part and i represents the imag part.\n *\n * The input tensors real and imag must have the same shape.\n *\n * ```js\n * const real = tf.tensor1d([2.25, 3.25]);\n * const imag = tf.tensor1d([4.75, 5.75]);\n * const complex = tf.complex(real, imag);\n *\n * complex.print();\n * ```\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nfunction complex_(real, imag) {\n const $real = convertToTensor(real, 'real', 'complex');\n const $imag = convertToTensor(imag, 'imag', 'complex');\n util.assertShapesMatch($real.shape, $imag.shape, `real and imag shapes, ${$real.shape} and ${$imag.shape}, ` +\n `must match in call to tf.complex().`);\n const inputs = { real: $real, imag: $imag };\n return ENGINE.runKernel(Complex, inputs);\n}\nexport const complex = op({ complex_ });\n//# sourceMappingURL=complex.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { assert, assertNonNegativeIntegerDimensions, flatten, inferDtype, isTypedArray, sizeFromShape, toTypedArray } from '../util';\n/** This is shared code across all tensor creation methods. */\nexport function makeTensor(values, shape, inferredShape, dtype) {\n if (dtype == null) {\n dtype = inferDtype(values);\n }\n if (dtype === 'complex64') {\n throw new Error(`Cannot construct a complex64 tensor directly. ` +\n `Please use tf.complex(real, imag).`);\n }\n if (!isTypedArray(values) && !Array.isArray(values) &&\n typeof values !== 'number' && typeof values !== 'boolean' &&\n typeof values !== 'string') {\n throw new Error('values passed to tensor(values) must be a number/boolean/string or ' +\n 'an array of numbers/booleans/strings, or a TypedArray');\n }\n if (shape != null) {\n assertNonNegativeIntegerDimensions(shape);\n const providedSize = sizeFromShape(shape);\n const inferredSize = sizeFromShape(inferredShape);\n assert(providedSize === inferredSize, () => `Based on the provided shape, [${shape}], the tensor should have ` +\n `${providedSize} values but has ${inferredSize}`);\n for (let i = 0; i < inferredShape.length; ++i) {\n const inferred = inferredShape[i];\n const flatDimsDontMatch = i === inferredShape.length - 1 ?\n inferred !== sizeFromShape(shape.slice(i)) :\n true;\n assert(inferredShape[i] === shape[i] || !flatDimsDontMatch, () => `Error creating a new Tensor. Inferred shape ` +\n `(${inferredShape}) does not match the provided ` +\n `shape (${shape}). `);\n }\n }\n if (!isTypedArray(values) && !Array.isArray(values)) {\n values = [values];\n }\n shape = shape || inferredShape;\n values = dtype !== 'string' ?\n toTypedArray(values, dtype) :\n flatten(values, [], true);\n return ENGINE.makeTensor(values, shape, dtype);\n}\n//# sourceMappingURL=tensor_ops_util.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { inferShape } from '../tensor_util_env';\nimport { makeTensor } from './tensor_ops_util';\n/**\n * Creates a `tf.Tensor` with the provided values, shape and dtype.\n *\n * ```js\n * // Pass an array of values to create a vector.\n * tf.tensor([1, 2, 3, 4]).print();\n * ```\n *\n * ```js\n * // Pass a nested array of values to make a matrix or a higher\n * // dimensional tensor.\n * tf.tensor([[1, 2], [3, 4]]).print();\n * ```\n *\n * ```js\n * // Pass a flat array and specify a shape yourself.\n * tf.tensor([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n * or a flat array, or a `TypedArray`. If the values are strings,\n * they will be encoded as utf-8 and kept as `Uint8Array[]`.\n * @param shape The shape of the tensor. Optional. If not provided,\n * it is inferred from `values`.\n * @param dtype The data type.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nexport function tensor(values, shape, dtype) {\n const inferredShape = inferShape(values, dtype);\n return makeTensor(values, shape, inferredShape, dtype);\n}\n//# sourceMappingURL=tensor.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/* Type definitions for exporting and importing of models. */\n/**\n * A map from Tensor dtype to number of bytes per element of the Tensor.\n */\nexport const DTYPE_VALUE_SIZE_MAP = {\n 'float32': 4,\n 'float16': 2,\n 'int32': 4,\n 'uint16': 2,\n 'uint8': 1,\n 'bool': 1,\n 'complex64': 8\n};\n//# sourceMappingURL=types.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { complex } from '../ops/complex';\nimport { tensor } from '../ops/tensor';\nimport { sizeFromShape } from '../util';\nimport { DTYPE_VALUE_SIZE_MAP } from './types';\n/** Number of bytes reserved for the length of the string. (32bit integer). */\nconst NUM_BYTES_STRING_LENGTH = 4;\n/**\n * Encode a map from names to weight values as an ArrayBuffer, along with an\n * `Array` of `WeightsManifestEntry` as specification of the encoded weights.\n *\n * This function does not perform sharding.\n *\n * This function is the reverse of `decodeWeights`.\n *\n * @param tensors A map (\"dict\") from names to tensors.\n * @param group Group to which the weights belong (optional).\n * @returns A `Promise` of\n * - A flat `ArrayBuffer` with all the binary values of the `Tensor`s\n * concatenated.\n * - An `Array` of `WeightManifestEntry`s, carrying information including\n * tensor names, `dtype`s and shapes.\n * @throws Error: on unsupported tensor `dtype`.\n */\nexport async function encodeWeights(tensors, group) {\n // TODO(adarob, cais): Support quantization.\n const specs = [];\n const dataPromises = [];\n const names = Array.isArray(tensors) ?\n tensors.map(tensor => tensor.name) :\n Object.keys(tensors);\n for (let i = 0; i < names.length; ++i) {\n const name = names[i];\n const t = Array.isArray(tensors) ? tensors[i].tensor : tensors[name];\n if (t.dtype !== 'float32' && t.dtype !== 'int32' && t.dtype !== 'bool' &&\n t.dtype !== 'string' && t.dtype !== 'complex64') {\n throw new Error(`Unsupported dtype in weight '${name}': ${t.dtype}`);\n }\n const spec = { name, shape: t.shape, dtype: t.dtype };\n if (t.dtype === 'string') {\n const utf8bytes = new Promise(async (resolve) => {\n const vals = await t.bytes();\n const totalNumBytes = vals.reduce((p, c) => p + c.length, 0) +\n NUM_BYTES_STRING_LENGTH * vals.length;\n const bytes = new Uint8Array(totalNumBytes);\n let offset = 0;\n for (let i = 0; i < vals.length; i++) {\n const val = vals[i];\n const bytesOfLength = new Uint8Array(new Uint32Array([val.length]).buffer);\n bytes.set(bytesOfLength, offset);\n offset += NUM_BYTES_STRING_LENGTH;\n bytes.set(val, offset);\n offset += val.length;\n }\n resolve(bytes);\n });\n dataPromises.push(utf8bytes);\n }\n else {\n dataPromises.push(t.data());\n }\n if (group != null) {\n spec.group = group;\n }\n specs.push(spec);\n }\n const tensorValues = await Promise.all(dataPromises);\n return { data: concatenateTypedArrays(tensorValues), specs };\n}\n/**\n * Decode flat ArrayBuffer as weights.\n *\n * This function does not handle sharding.\n *\n * This function is the reverse of `encodeWeights`.\n *\n * @param buffer A flat ArrayBuffer carrying the binary values of the tensors\n * concatenated in the order specified in `specs`.\n * @param specs Specifications of the names, dtypes and shapes of the tensors\n * whose value are encoded by `buffer`.\n * @return A map from tensor name to tensor value, with the names corresponding\n * to names in `specs`.\n * @throws Error, if any of the tensors has unsupported dtype.\n */\nexport function decodeWeights(buffer, specs) {\n // TODO(adarob, cais): Support quantization.\n const out = {};\n let float16Decode;\n let offset = 0;\n for (const spec of specs) {\n const name = spec.name;\n const dtype = spec.dtype;\n const shape = spec.shape;\n const size = sizeFromShape(shape);\n let values;\n if ('quantization' in spec) {\n const quantization = spec.quantization;\n if (quantization.dtype === 'uint8' || quantization.dtype === 'uint16') {\n if (!('min' in quantization && 'scale' in quantization)) {\n throw new Error(`Weight ${spec.name} with quantization ${quantization.dtype} ` +\n `doesn't have corresponding metadata min and scale.`);\n }\n }\n else if (quantization.dtype === 'float16') {\n if (dtype !== 'float32') {\n throw new Error(`Weight ${spec.name} is quantized with ${quantization.dtype} ` +\n `which only supports weights of type float32 not ${dtype}.`);\n }\n }\n else {\n throw new Error(`Weight ${spec.name} has unknown ` +\n `quantization dtype ${quantization.dtype}. ` +\n `Supported quantization dtypes are: ` +\n `'uint8', 'uint16', and 'float16'.`);\n }\n const quantizationSizeFactor = DTYPE_VALUE_SIZE_MAP[quantization.dtype];\n const byteBuffer = buffer.slice(offset, offset + size * quantizationSizeFactor);\n const quantizedArray = (quantization.dtype === 'uint8') ?\n new Uint8Array(byteBuffer) :\n new Uint16Array(byteBuffer);\n if (dtype === 'float32') {\n if (quantization.dtype === 'uint8' || quantization.dtype === 'uint16') {\n values = new Float32Array(quantizedArray.length);\n for (let i = 0; i < quantizedArray.length; i++) {\n const v = quantizedArray[i];\n values[i] = v * quantization.scale + quantization.min;\n }\n }\n else if (quantization.dtype === 'float16') {\n if (float16Decode === undefined) {\n float16Decode = getFloat16Decoder();\n }\n values = float16Decode(quantizedArray);\n }\n else {\n throw new Error(`Unsupported quantization type ${quantization.dtype} ` +\n `for weight type float32.`);\n }\n }\n else if (dtype === 'int32') {\n if (quantization.dtype !== 'uint8' && quantization.dtype !== 'uint16') {\n throw new Error(`Unsupported quantization type ${quantization.dtype} ` +\n `for weight type int32.`);\n }\n values = new Int32Array(quantizedArray.length);\n for (let i = 0; i < quantizedArray.length; i++) {\n const v = quantizedArray[i];\n values[i] = Math.round(v * quantization.scale + quantization.min);\n }\n }\n else {\n throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n }\n offset += size * quantizationSizeFactor;\n }\n else if (dtype === 'string') {\n const size = sizeFromShape(spec.shape);\n values = [];\n for (let i = 0; i < size; i++) {\n const byteLength = new Uint32Array(buffer.slice(offset, offset + NUM_BYTES_STRING_LENGTH))[0];\n offset += NUM_BYTES_STRING_LENGTH;\n const bytes = new Uint8Array(buffer.slice(offset, offset + byteLength));\n values.push(bytes);\n offset += byteLength;\n }\n }\n else {\n const dtypeFactor = DTYPE_VALUE_SIZE_MAP[dtype];\n const byteBuffer = buffer.slice(offset, offset + size * dtypeFactor);\n if (dtype === 'float32') {\n values = new Float32Array(byteBuffer);\n }\n else if (dtype === 'int32') {\n values = new Int32Array(byteBuffer);\n }\n else if (dtype === 'bool') {\n values = new Uint8Array(byteBuffer);\n }\n else if (dtype === 'complex64') {\n values = new Float32Array(byteBuffer);\n const real = new Float32Array(values.length / 2);\n const image = new Float32Array(values.length / 2);\n for (let i = 0; i < real.length; i++) {\n real[i] = values[i * 2];\n image[i] = values[i * 2 + 1];\n }\n const realTensor = tensor(real, shape, 'float32');\n const imageTensor = tensor(image, shape, 'float32');\n out[name] = complex(realTensor, imageTensor);\n realTensor.dispose();\n imageTensor.dispose();\n }\n else {\n throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n }\n offset += size * dtypeFactor;\n }\n if (dtype !== 'complex64') {\n out[name] = tensor(values, shape, dtype);\n }\n }\n return out;\n}\n/**\n * Concatenate TypedArrays into an ArrayBuffer.\n */\nexport function concatenateTypedArrays(xs) {\n // TODO(adarob, cais): Support quantization.\n if (xs === null) {\n throw new Error(`Invalid input value: ${JSON.stringify(xs)}`);\n }\n let totalByteLength = 0;\n // `normalizedXs` is here for this reason: a `TypedArray`'s `buffer'\n // can have a different byte length from that of the `TypedArray` itself,\n // for example, when the `TypedArray` is created from an offset in an\n // `ArrayBuffer`. `normliazedXs` holds `TypedArray`s whose `buffer`s match\n // the `TypedArray` in byte length. If an element of `xs` does not show\n // this property, a new `TypedArray` that satisfy this property will be\n // constructed and pushed into `normalizedXs`.\n const normalizedXs = [];\n xs.forEach((x) => {\n totalByteLength += x.byteLength;\n // tslint:disable:no-any\n normalizedXs.push(x.byteLength === x.buffer.byteLength ? x :\n new x.constructor(x));\n if (!(x instanceof Float32Array || x instanceof Int32Array ||\n x instanceof Uint8Array)) {\n throw new Error(`Unsupported TypedArray subtype: ${x.constructor.name}`);\n }\n // tslint:enable:no-any\n });\n const y = new Uint8Array(totalByteLength);\n let offset = 0;\n normalizedXs.forEach((x) => {\n y.set(new Uint8Array(x.buffer), offset);\n offset += x.byteLength;\n });\n return y.buffer;\n}\n// Use Buffer on Node.js instead of Blob/atob/btoa\nconst useNodeBuffer = typeof Buffer !== 'undefined' &&\n (typeof Blob === 'undefined' || typeof atob === 'undefined' ||\n typeof btoa === 'undefined');\n/**\n * Calculate the byte length of a JavaScript string.\n *\n * Note that a JavaScript string can contain wide characters, therefore the\n * length of the string is not necessarily equal to the byte length.\n *\n * @param str Input string.\n * @returns Byte length.\n */\nexport function stringByteLength(str) {\n if (useNodeBuffer) {\n return Buffer.byteLength(str);\n }\n return new Blob([str]).size;\n}\n/**\n * Encode an ArrayBuffer as a base64 encoded string.\n *\n * @param buffer `ArrayBuffer` to be converted.\n * @returns A string that base64-encodes `buffer`.\n */\nexport function arrayBufferToBase64String(buffer) {\n if (useNodeBuffer) {\n return Buffer.from(buffer).toString('base64');\n }\n const buf = new Uint8Array(buffer);\n let s = '';\n for (let i = 0, l = buf.length; i < l; i++) {\n s += String.fromCharCode(buf[i]);\n }\n return btoa(s);\n}\n/**\n * Decode a base64 string as an ArrayBuffer.\n *\n * @param str Base64 string.\n * @returns Decoded `ArrayBuffer`.\n */\nexport function base64StringToArrayBuffer(str) {\n if (useNodeBuffer) {\n const buf = Buffer.from(str, 'base64');\n return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength);\n }\n const s = atob(str);\n const buffer = new Uint8Array(s.length);\n for (let i = 0; i < s.length; ++i) {\n buffer.set([s.charCodeAt(i)], i);\n }\n return buffer.buffer;\n}\n/**\n * Concatenate a number of ArrayBuffers into one.\n *\n * @param buffers A number of array buffers to concatenate.\n * @returns Result of concatenating `buffers` in order.\n */\nexport function concatenateArrayBuffers(buffers) {\n if (buffers.length === 1) {\n return buffers[0];\n }\n let totalByteLength = 0;\n buffers.forEach((buffer) => {\n totalByteLength += buffer.byteLength;\n });\n const temp = new Uint8Array(totalByteLength);\n let offset = 0;\n buffers.forEach((buffer) => {\n temp.set(new Uint8Array(buffer), offset);\n offset += buffer.byteLength;\n });\n return temp.buffer;\n}\n/**\n * Get the basename of a path.\n *\n * Behaves in a way analogous to Linux's basename command.\n *\n * @param path\n */\nexport function basename(path) {\n const SEPARATOR = '/';\n path = path.trim();\n while (path.endsWith(SEPARATOR)) {\n path = path.slice(0, path.length - 1);\n }\n const items = path.split(SEPARATOR);\n return items[items.length - 1];\n}\n/**\n * Populate ModelArtifactsInfo fields for a model with JSON topology.\n * @param modelArtifacts\n * @returns A ModelArtifactsInfo object.\n */\nexport function getModelArtifactsInfoForJSON(modelArtifacts) {\n if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n throw new Error('Expected JSON model topology, received ArrayBuffer.');\n }\n return {\n dateSaved: new Date(),\n modelTopologyType: 'JSON',\n modelTopologyBytes: modelArtifacts.modelTopology == null ?\n 0 :\n stringByteLength(JSON.stringify(modelArtifacts.modelTopology)),\n weightSpecsBytes: modelArtifacts.weightSpecs == null ?\n 0 :\n stringByteLength(JSON.stringify(modelArtifacts.weightSpecs)),\n weightDataBytes: modelArtifacts.weightData == null ?\n 0 :\n modelArtifacts.weightData.byteLength,\n };\n}\n/**\n * Computes mantisa table for casting Float16 to Float32\n * See http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n *\n * @returns Uint32Array, 2048 mantissa lookup values.\n */\nfunction computeFloat16MantisaTable() {\n const convertMantissa = (i) => {\n let m = i << 13;\n let e = 0;\n while ((m & 0x00800000) === 0) {\n e -= 0x00800000;\n m <<= 1;\n }\n m &= ~0x00800000;\n e += 0x38800000;\n return m | e;\n };\n const mantisaTable = new Uint32Array(2048);\n mantisaTable[0] = 0;\n for (let i = 1; i < 1024; i++) {\n mantisaTable[i] = convertMantissa(i);\n }\n for (let i = 1024; i < 2048; i++) {\n mantisaTable[i] = 0x38000000 + ((i - 1024) << 13);\n }\n return mantisaTable;\n}\n/**\n * Computes exponent table for casting Float16 to Float32\n * See http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n *\n * @returns Uint32Array, 64 exponent lookup values.\n */\nfunction computeFloat16ExponentTable() {\n const exponentTable = new Uint32Array(64);\n exponentTable[0] = 0;\n exponentTable[31] = 0x47800000;\n exponentTable[32] = 0x80000000;\n exponentTable[63] = 0xc7800000;\n for (let i = 1; i < 31; i++) {\n exponentTable[i] = i << 23;\n }\n for (let i = 33; i < 63; i++) {\n exponentTable[i] = 0x80000000 + ((i - 32) << 23);\n }\n return exponentTable;\n}\n/**\n * Computes offset table for casting Float16 to Float32\n * See http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n *\n * @returns Uint32Array, 6d offset values.\n */\nfunction computeFloat16OffsetTable() {\n const offsetTable = new Uint32Array(64);\n for (let i = 0; i < 64; i++) {\n offsetTable[i] = 1024;\n }\n offsetTable[0] = offsetTable[32] = 0;\n return offsetTable;\n}\n/**\n * Retrieve a Float16 decoder which will decode a ByteArray of Float16 values\n * to a Float32Array.\n *\n * @returns Function (buffer: Uint16Array) => Float32Array which decodes\n * the Uint16Array of Float16 bytes to a Float32Array.\n */\nexport function getFloat16Decoder() {\n // Algorithm is based off of\n // http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n // Cache lookup tables\n const mantisaTable = computeFloat16MantisaTable();\n const exponentTable = computeFloat16ExponentTable();\n const offsetTable = computeFloat16OffsetTable();\n return (quantizedArray) => {\n const buffer = new ArrayBuffer(4 * quantizedArray.length);\n const bufferUint32View = new Uint32Array(buffer);\n for (let index = 0; index < quantizedArray.length; index++) {\n const float16Bits = quantizedArray[index];\n const float32Bits = mantisaTable[offsetTable[float16Bits >> 10] + (float16Bits & 0x3ff)] +\n exponentTable[float16Bits >> 10];\n bufferUint32View[index] = float32Bits;\n }\n return new Float32Array(buffer);\n };\n}\n//# sourceMappingURL=io_utils.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nexport class IORouterRegistry {\n constructor() {\n this.saveRouters = [];\n this.loadRouters = [];\n }\n static getInstance() {\n if (IORouterRegistry.instance == null) {\n IORouterRegistry.instance = new IORouterRegistry();\n }\n return IORouterRegistry.instance;\n }\n /**\n * Register a save-handler router.\n *\n * @param saveRouter A function that maps a URL-like string onto an instance\n * of `IOHandler` with the `save` method defined or `null`.\n */\n static registerSaveRouter(saveRouter) {\n IORouterRegistry.getInstance().saveRouters.push(saveRouter);\n }\n /**\n * Register a load-handler router.\n *\n * @param loadRouter A function that maps a URL-like string onto an instance\n * of `IOHandler` with the `load` method defined or `null`.\n */\n static registerLoadRouter(loadRouter) {\n IORouterRegistry.getInstance().loadRouters.push(loadRouter);\n }\n /**\n * Look up IOHandler for saving, given a URL-like string.\n *\n * @param url\n * @returns If only one match is found, an instance of IOHandler with the\n * `save` method defined. If no match is found, `null`.\n * @throws Error, if more than one match is found.\n */\n static getSaveHandlers(url) {\n return IORouterRegistry.getHandlers(url, 'save');\n }\n /**\n * Look up IOHandler for loading, given a URL-like string.\n *\n * @param url\n * @param loadOptions Optional, custom load options.\n * @returns All valid handlers for `url`, given the currently registered\n * handler routers.\n */\n static getLoadHandlers(url, loadOptions) {\n return IORouterRegistry.getHandlers(url, 'load', loadOptions);\n }\n static getHandlers(url, handlerType, loadOptions) {\n const validHandlers = [];\n const routers = handlerType === 'load' ?\n IORouterRegistry.getInstance().loadRouters :\n IORouterRegistry.getInstance().saveRouters;\n routers.forEach(router => {\n const handler = router(url, loadOptions);\n if (handler !== null) {\n validHandlers.push(handler);\n }\n });\n return validHandlers;\n }\n}\nexport const registerSaveRouter = (loudRouter) => IORouterRegistry.registerSaveRouter(loudRouter);\nexport const registerLoadRouter = (loudRouter) => IORouterRegistry.registerLoadRouter(loudRouter);\nexport const getSaveHandlers = (url) => IORouterRegistry.getSaveHandlers(url);\nexport const getLoadHandlers = (url, loadOptions) => IORouterRegistry.getLoadHandlers(url, loadOptions);\n//# sourceMappingURL=router_registry.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport '../flags';\nimport { env } from '../environment';\nimport { getModelArtifactsInfoForJSON } from './io_utils';\nimport { IORouterRegistry } from './router_registry';\nconst DATABASE_NAME = 'tensorflowjs';\nconst DATABASE_VERSION = 1;\n// Model data and ModelArtifactsInfo (metadata) are stored in two separate\n// stores for efficient access of the list of stored models and their metadata.\n// 1. The object store for model data: topology, weights and weight manifests.\nconst MODEL_STORE_NAME = 'models_store';\n// 2. The object store for ModelArtifactsInfo, including meta-information such\n// as the type of topology (JSON vs binary), byte size of the topology, byte\n// size of the weights, etc.\nconst INFO_STORE_NAME = 'model_info_store';\n/**\n * Delete the entire database for tensorflow.js, including the models store.\n */\nexport async function deleteDatabase() {\n const idbFactory = getIndexedDBFactory();\n return new Promise((resolve, reject) => {\n const deleteRequest = idbFactory.deleteDatabase(DATABASE_NAME);\n deleteRequest.onsuccess = () => resolve();\n deleteRequest.onerror = error => reject(error);\n });\n}\nfunction getIndexedDBFactory() {\n if (!env().getBool('IS_BROWSER')) {\n // TODO(cais): Add more info about what IOHandler subtypes are available.\n // Maybe point to a doc page on the web and/or automatically determine\n // the available IOHandlers and print them in the error message.\n throw new Error('Failed to obtain IndexedDB factory because the current environment' +\n 'is not a web browser.');\n }\n // tslint:disable-next-line:no-any\n const theWindow = typeof window === 'undefined' ? self : window;\n const factory = theWindow.indexedDB || theWindow.mozIndexedDB ||\n theWindow.webkitIndexedDB || theWindow.msIndexedDB ||\n theWindow.shimIndexedDB;\n if (factory == null) {\n throw new Error('The current browser does not appear to support IndexedDB.');\n }\n return factory;\n}\nfunction setUpDatabase(openRequest) {\n const db = openRequest.result;\n db.createObjectStore(MODEL_STORE_NAME, { keyPath: 'modelPath' });\n db.createObjectStore(INFO_STORE_NAME, { keyPath: 'modelPath' });\n}\n/**\n * IOHandler subclass: Browser IndexedDB.\n *\n * See the doc string of `browserIndexedDB` for more details.\n */\nexport class BrowserIndexedDB {\n constructor(modelPath) {\n this.indexedDB = getIndexedDBFactory();\n if (modelPath == null || !modelPath) {\n throw new Error('For IndexedDB, modelPath must not be null, undefined or empty.');\n }\n this.modelPath = modelPath;\n }\n async save(modelArtifacts) {\n // TODO(cais): Support saving GraphDef models.\n if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n throw new Error('BrowserLocalStorage.save() does not support saving model topology ' +\n 'in binary formats yet.');\n }\n return this.databaseAction(this.modelPath, modelArtifacts);\n }\n async load() {\n return this.databaseAction(this.modelPath);\n }\n /**\n * Perform database action to put model artifacts into or read model artifacts\n * from IndexedDB object store.\n *\n * Whether the action is put or get depends on whether `modelArtifacts` is\n * specified. If it is specified, the action will be put; otherwise the action\n * will be get.\n *\n * @param modelPath A unique string path for the model.\n * @param modelArtifacts If specified, it will be the model artifacts to be\n * stored in IndexedDB.\n * @returns A `Promise` of `SaveResult`, if the action is put, or a `Promise`\n * of `ModelArtifacts`, if the action is get.\n */\n databaseAction(modelPath, modelArtifacts) {\n return new Promise((resolve, reject) => {\n const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n openRequest.onsuccess = () => {\n const db = openRequest.result;\n if (modelArtifacts == null) {\n // Read model out from object store.\n const modelTx = db.transaction(MODEL_STORE_NAME, 'readonly');\n const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n const getRequest = modelStore.get(this.modelPath);\n getRequest.onsuccess = () => {\n if (getRequest.result == null) {\n db.close();\n return reject(new Error(`Cannot find model with path '${this.modelPath}' ` +\n `in IndexedDB.`));\n }\n else {\n resolve(getRequest.result.modelArtifacts);\n }\n };\n getRequest.onerror = error => {\n db.close();\n return reject(getRequest.error);\n };\n modelTx.oncomplete = () => db.close();\n }\n else {\n // Put model into object store.\n const modelArtifactsInfo = getModelArtifactsInfoForJSON(modelArtifacts);\n // First, put ModelArtifactsInfo into info store.\n const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n let infoStore = infoTx.objectStore(INFO_STORE_NAME);\n const putInfoRequest = infoStore.put({ modelPath: this.modelPath, modelArtifactsInfo });\n let modelTx;\n putInfoRequest.onsuccess = () => {\n // Second, put model data into model store.\n modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n const putModelRequest = modelStore.put({\n modelPath: this.modelPath,\n modelArtifacts,\n modelArtifactsInfo\n });\n putModelRequest.onsuccess = () => resolve({ modelArtifactsInfo });\n putModelRequest.onerror = error => {\n // If the put-model request fails, roll back the info entry as\n // well.\n infoStore = infoTx.objectStore(INFO_STORE_NAME);\n const deleteInfoRequest = infoStore.delete(this.modelPath);\n deleteInfoRequest.onsuccess = () => {\n db.close();\n return reject(putModelRequest.error);\n };\n deleteInfoRequest.onerror = error => {\n db.close();\n return reject(putModelRequest.error);\n };\n };\n };\n putInfoRequest.onerror = error => {\n db.close();\n return reject(putInfoRequest.error);\n };\n infoTx.oncomplete = () => {\n if (modelTx == null) {\n db.close();\n }\n else {\n modelTx.oncomplete = () => db.close();\n }\n };\n }\n };\n openRequest.onerror = error => reject(openRequest.error);\n });\n }\n}\nBrowserIndexedDB.URL_SCHEME = 'indexeddb://';\nexport const indexedDBRouter = (url) => {\n if (!env().getBool('IS_BROWSER')) {\n return null;\n }\n else {\n if (!Array.isArray(url) && url.startsWith(BrowserIndexedDB.URL_SCHEME)) {\n return browserIndexedDB(url.slice(BrowserIndexedDB.URL_SCHEME.length));\n }\n else {\n return null;\n }\n }\n};\nIORouterRegistry.registerSaveRouter(indexedDBRouter);\nIORouterRegistry.registerLoadRouter(indexedDBRouter);\n/**\n * Creates a browser IndexedDB IOHandler for saving and loading models.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n * tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save('indexeddb://MyModel'));\n * console.log(saveResult);\n * ```\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n * non-empty string.\n * @returns An instance of `BrowserIndexedDB` (sublcass of `IOHandler`),\n * which can be used with, e.g., `tf.Model.save`.\n */\nexport function browserIndexedDB(modelPath) {\n return new BrowserIndexedDB(modelPath);\n}\nfunction maybeStripScheme(key) {\n return key.startsWith(BrowserIndexedDB.URL_SCHEME) ?\n key.slice(BrowserIndexedDB.URL_SCHEME.length) :\n key;\n}\nexport class BrowserIndexedDBManager {\n constructor() {\n this.indexedDB = getIndexedDBFactory();\n }\n async listModels() {\n return new Promise((resolve, reject) => {\n const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n openRequest.onsuccess = () => {\n const db = openRequest.result;\n const tx = db.transaction(INFO_STORE_NAME, 'readonly');\n const store = tx.objectStore(INFO_STORE_NAME);\n // tslint:disable:max-line-length\n // Need to cast `store` as `any` here because TypeScript's DOM\n // library does not have the `getAll()` method even though the\n // method is supported in the latest version of most mainstream\n // browsers:\n // https://developer.mozilla.org/en-US/docs/Web/API/IDBObjectStore/getAll\n // tslint:enable:max-line-length\n // tslint:disable-next-line:no-any\n const getAllInfoRequest = store.getAll();\n getAllInfoRequest.onsuccess = () => {\n const out = {};\n for (const item of getAllInfoRequest.result) {\n out[item.modelPath] = item.modelArtifactsInfo;\n }\n resolve(out);\n };\n getAllInfoRequest.onerror = error => {\n db.close();\n return reject(getAllInfoRequest.error);\n };\n tx.oncomplete = () => db.close();\n };\n openRequest.onerror = error => reject(openRequest.error);\n });\n }\n async removeModel(path) {\n path = maybeStripScheme(path);\n return new Promise((resolve, reject) => {\n const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n openRequest.onsuccess = () => {\n const db = openRequest.result;\n const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n const infoStore = infoTx.objectStore(INFO_STORE_NAME);\n const getInfoRequest = infoStore.get(path);\n let modelTx;\n getInfoRequest.onsuccess = () => {\n if (getInfoRequest.result == null) {\n db.close();\n return reject(new Error(`Cannot find model with path '${path}' ` +\n `in IndexedDB.`));\n }\n else {\n // First, delete the entry in the info store.\n const deleteInfoRequest = infoStore.delete(path);\n const deleteModelData = () => {\n // Second, delete the entry in the model store.\n modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n const deleteModelRequest = modelStore.delete(path);\n deleteModelRequest.onsuccess = () => resolve(getInfoRequest.result.modelArtifactsInfo);\n deleteModelRequest.onerror = error => reject(getInfoRequest.error);\n };\n // Proceed with deleting model data regardless of whether deletion\n // of info data succeeds or not.\n deleteInfoRequest.onsuccess = deleteModelData;\n deleteInfoRequest.onerror = error => {\n deleteModelData();\n db.close();\n return reject(getInfoRequest.error);\n };\n }\n };\n getInfoRequest.onerror = error => {\n db.close();\n return reject(getInfoRequest.error);\n };\n infoTx.oncomplete = () => {\n if (modelTx == null) {\n db.close();\n }\n else {\n modelTx.oncomplete = () => db.close();\n }\n };\n };\n openRequest.onerror = error => reject(openRequest.error);\n });\n }\n}\n//# sourceMappingURL=indexed_db.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport '../flags';\nimport { env } from '../environment';\nimport { assert } from '../util';\nimport { arrayBufferToBase64String, base64StringToArrayBuffer, getModelArtifactsInfoForJSON } from './io_utils';\nimport { IORouterRegistry } from './router_registry';\nconst PATH_SEPARATOR = '/';\nconst PATH_PREFIX = 'tensorflowjs_models';\nconst INFO_SUFFIX = 'info';\nconst MODEL_TOPOLOGY_SUFFIX = 'model_topology';\nconst WEIGHT_SPECS_SUFFIX = 'weight_specs';\nconst WEIGHT_DATA_SUFFIX = 'weight_data';\nconst MODEL_METADATA_SUFFIX = 'model_metadata';\n/**\n * Purge all tensorflow.js-saved model artifacts from local storage.\n *\n * @returns Paths of the models purged.\n */\nexport function purgeLocalStorageArtifacts() {\n if (!env().getBool('IS_BROWSER') || typeof window === 'undefined' ||\n typeof window.localStorage === 'undefined') {\n throw new Error('purgeLocalStorageModels() cannot proceed because local storage is ' +\n 'unavailable in the current environment.');\n }\n const LS = window.localStorage;\n const purgedModelPaths = [];\n for (let i = 0; i < LS.length; ++i) {\n const key = LS.key(i);\n const prefix = PATH_PREFIX + PATH_SEPARATOR;\n if (key.startsWith(prefix) && key.length > prefix.length) {\n LS.removeItem(key);\n const modelName = getModelPathFromKey(key);\n if (purgedModelPaths.indexOf(modelName) === -1) {\n purgedModelPaths.push(modelName);\n }\n }\n }\n return purgedModelPaths;\n}\nfunction getModelKeys(path) {\n return {\n info: [PATH_PREFIX, path, INFO_SUFFIX].join(PATH_SEPARATOR),\n topology: [PATH_PREFIX, path, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),\n weightSpecs: [PATH_PREFIX, path, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),\n weightData: [PATH_PREFIX, path, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR),\n modelMetadata: [PATH_PREFIX, path, MODEL_METADATA_SUFFIX].join(PATH_SEPARATOR)\n };\n}\n/**\n * Get model path from a local-storage key.\n *\n * E.g., 'tensorflowjs_models/my/model/1/info' --> 'my/model/1'\n *\n * @param key\n */\nfunction getModelPathFromKey(key) {\n const items = key.split(PATH_SEPARATOR);\n if (items.length < 3) {\n throw new Error(`Invalid key format: ${key}`);\n }\n return items.slice(1, items.length - 1).join(PATH_SEPARATOR);\n}\nfunction maybeStripScheme(key) {\n return key.startsWith(BrowserLocalStorage.URL_SCHEME) ?\n key.slice(BrowserLocalStorage.URL_SCHEME.length) :\n key;\n}\n/**\n * IOHandler subclass: Browser Local Storage.\n *\n * See the doc string to `browserLocalStorage` for more details.\n */\nexport class BrowserLocalStorage {\n constructor(modelPath) {\n if (!env().getBool('IS_BROWSER') || typeof window === 'undefined' ||\n typeof window.localStorage === 'undefined') {\n // TODO(cais): Add more info about what IOHandler subtypes are\n // available.\n // Maybe point to a doc page on the web and/or automatically determine\n // the available IOHandlers and print them in the error message.\n throw new Error('The current environment does not support local storage.');\n }\n this.LS = window.localStorage;\n if (modelPath == null || !modelPath) {\n throw new Error('For local storage, modelPath must not be null, undefined or empty.');\n }\n this.modelPath = modelPath;\n this.keys = getModelKeys(this.modelPath);\n }\n /**\n * Save model artifacts to browser local storage.\n *\n * See the documentation to `browserLocalStorage` for details on the saved\n * artifacts.\n *\n * @param modelArtifacts The model artifacts to be stored.\n * @returns An instance of SaveResult.\n */\n async save(modelArtifacts) {\n if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n throw new Error('BrowserLocalStorage.save() does not support saving model topology ' +\n 'in binary formats yet.');\n }\n else {\n const topology = JSON.stringify(modelArtifacts.modelTopology);\n const weightSpecs = JSON.stringify(modelArtifacts.weightSpecs);\n const modelArtifactsInfo = getModelArtifactsInfoForJSON(modelArtifacts);\n try {\n this.LS.setItem(this.keys.info, JSON.stringify(modelArtifactsInfo));\n this.LS.setItem(this.keys.topology, topology);\n this.LS.setItem(this.keys.weightSpecs, weightSpecs);\n this.LS.setItem(this.keys.weightData, arrayBufferToBase64String(modelArtifacts.weightData));\n const result = {\n format: modelArtifacts.format,\n generatedBy: modelArtifacts.generatedBy,\n convertedBy: modelArtifacts.convertedBy\n };\n if (modelArtifacts.signature != null) {\n result.signature = modelArtifacts.signature;\n }\n if (modelArtifacts.userDefinedMetadata != null) {\n result.userDefinedMetadata = modelArtifacts.userDefinedMetadata;\n }\n if (modelArtifacts.modelInitializer != null) {\n result.modelInitializer = modelArtifacts.modelInitializer;\n }\n this.LS.setItem(this.keys.modelMetadata, JSON.stringify(result));\n return { modelArtifactsInfo };\n }\n catch (err) {\n // If saving failed, clean up all items saved so far.\n this.LS.removeItem(this.keys.info);\n this.LS.removeItem(this.keys.topology);\n this.LS.removeItem(this.keys.weightSpecs);\n this.LS.removeItem(this.keys.weightData);\n this.LS.removeItem(this.keys.modelMetadata);\n throw new Error(`Failed to save model '${this.modelPath}' to local storage: ` +\n `size quota being exceeded is a possible cause of this failure: ` +\n `modelTopologyBytes=${modelArtifactsInfo.modelTopologyBytes}, ` +\n `weightSpecsBytes=${modelArtifactsInfo.weightSpecsBytes}, ` +\n `weightDataBytes=${modelArtifactsInfo.weightDataBytes}.`);\n }\n }\n }\n /**\n * Load a model from local storage.\n *\n * See the documentation to `browserLocalStorage` for details on the saved\n * artifacts.\n *\n * @returns The loaded model (if loading succeeds).\n */\n async load() {\n const info = JSON.parse(this.LS.getItem(this.keys.info));\n if (info == null) {\n throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);\n }\n if (info.modelTopologyType !== 'JSON') {\n throw new Error('BrowserLocalStorage does not support loading non-JSON model ' +\n 'topology yet.');\n }\n const out = {};\n // Load topology.\n const topology = JSON.parse(this.LS.getItem(this.keys.topology));\n if (topology == null) {\n throw new Error(`In local storage, the topology of model '${this.modelPath}' ` +\n `is missing.`);\n }\n out.modelTopology = topology;\n // Load weight specs.\n const weightSpecs = JSON.parse(this.LS.getItem(this.keys.weightSpecs));\n if (weightSpecs == null) {\n throw new Error(`In local storage, the weight specs of model '${this.modelPath}' ` +\n `are missing.`);\n }\n out.weightSpecs = weightSpecs;\n // Load meta-data fields.\n const metadataString = this.LS.getItem(this.keys.modelMetadata);\n if (metadataString != null) {\n const metadata = JSON.parse(metadataString);\n out.format = metadata['format'];\n out.generatedBy = metadata['generatedBy'];\n out.convertedBy = metadata['convertedBy'];\n if (metadata['signature'] != null) {\n out.signature = metadata['signature'];\n }\n if (metadata['userDefinedMetadata'] != null) {\n out.userDefinedMetadata = metadata['userDefinedMetadata'];\n }\n if (metadata['modelInitializer'] != null) {\n out.modelInitializer = metadata['modelInitializer'];\n }\n }\n // Load weight data.\n const weightDataBase64 = this.LS.getItem(this.keys.weightData);\n if (weightDataBase64 == null) {\n throw new Error(`In local storage, the binary weight values of model ` +\n `'${this.modelPath}' are missing.`);\n }\n out.weightData = base64StringToArrayBuffer(weightDataBase64);\n return out;\n }\n}\nBrowserLocalStorage.URL_SCHEME = 'localstorage://';\nexport const localStorageRouter = (url) => {\n if (!env().getBool('IS_BROWSER')) {\n return null;\n }\n else {\n if (!Array.isArray(url) && url.startsWith(BrowserLocalStorage.URL_SCHEME)) {\n return browserLocalStorage(url.slice(BrowserLocalStorage.URL_SCHEME.length));\n }\n else {\n return null;\n }\n }\n};\nIORouterRegistry.registerSaveRouter(localStorageRouter);\nIORouterRegistry.registerLoadRouter(localStorageRouter);\n/**\n * Factory function for local storage IOHandler.\n *\n * This `IOHandler` supports both `save` and `load`.\n *\n * For each model's saved artifacts, four items are saved to local storage.\n * - `${PATH_SEPARATOR}/${modelPath}/info`: Contains meta-info about the\n * model, such as date saved, type of the topology, size in bytes, etc.\n * - `${PATH_SEPARATOR}/${modelPath}/topology`: Model topology. For Keras-\n * style models, this is a stringized JSON.\n * - `${PATH_SEPARATOR}/${modelPath}/weight_specs`: Weight specs of the\n * model, can be used to decode the saved binary weight values (see\n * item below).\n * - `${PATH_SEPARATOR}/${modelPath}/weight_data`: Concatenated binary\n * weight values, stored as a base64-encoded string.\n *\n * Saving may throw an `Error` if the total size of the artifacts exceed the\n * browser-specific quota.\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n * non-empty string.\n * @returns An instance of `IOHandler`, which can be used with, e.g.,\n * `tf.Model.save`.\n */\nexport function browserLocalStorage(modelPath) {\n return new BrowserLocalStorage(modelPath);\n}\nexport class BrowserLocalStorageManager {\n constructor() {\n assert(env().getBool('IS_BROWSER'), () => 'Current environment is not a web browser');\n assert(typeof window === 'undefined' ||\n typeof window.localStorage !== 'undefined', () => 'Current browser does not appear to support localStorage');\n this.LS = window.localStorage;\n }\n async listModels() {\n const out = {};\n const prefix = PATH_PREFIX + PATH_SEPARATOR;\n const suffix = PATH_SEPARATOR + INFO_SUFFIX;\n for (let i = 0; i < this.LS.length; ++i) {\n const key = this.LS.key(i);\n if (key.startsWith(prefix) && key.endsWith(suffix)) {\n const modelPath = getModelPathFromKey(key);\n out[modelPath] = JSON.parse(this.LS.getItem(key));\n }\n }\n return out;\n }\n async removeModel(path) {\n path = maybeStripScheme(path);\n const keys = getModelKeys(path);\n if (this.LS.getItem(keys.info) == null) {\n throw new Error(`Cannot find model at path '${path}'`);\n }\n const info = JSON.parse(this.LS.getItem(keys.info));\n this.LS.removeItem(keys.info);\n this.LS.removeItem(keys.topology);\n this.LS.removeItem(keys.weightSpecs);\n this.LS.removeItem(keys.weightData);\n return info;\n }\n}\n//# sourceMappingURL=local_storage.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * Classes and functions for model management across multiple storage mediums.\n *\n * Supported client actions:\n * - Listing models on all registered storage mediums.\n * - Remove model by URL from any registered storage mediums, by using URL\n * string.\n * - Moving or copying model from one path to another in the same medium or from\n * one medium to another, by using URL strings.\n */\nimport { assert } from '../util';\nimport { IORouterRegistry } from './router_registry';\nconst URL_SCHEME_SUFFIX = '://';\nexport class ModelStoreManagerRegistry {\n constructor() {\n this.managers = {};\n }\n static getInstance() {\n if (ModelStoreManagerRegistry.instance == null) {\n ModelStoreManagerRegistry.instance = new ModelStoreManagerRegistry();\n }\n return ModelStoreManagerRegistry.instance;\n }\n /**\n * Register a save-handler router.\n *\n * @param saveRouter A function that maps a URL-like string onto an instance\n * of `IOHandler` with the `save` method defined or `null`.\n */\n static registerManager(scheme, manager) {\n assert(scheme != null, () => 'scheme must not be undefined or null.');\n if (scheme.endsWith(URL_SCHEME_SUFFIX)) {\n scheme = scheme.slice(0, scheme.indexOf(URL_SCHEME_SUFFIX));\n }\n assert(scheme.length > 0, () => 'scheme must not be an empty string.');\n const registry = ModelStoreManagerRegistry.getInstance();\n assert(registry.managers[scheme] == null, () => `A model store manager is already registered for scheme '${scheme}'.`);\n registry.managers[scheme] = manager;\n }\n static getManager(scheme) {\n const manager = this.getInstance().managers[scheme];\n if (manager == null) {\n throw new Error(`Cannot find model manager for scheme '${scheme}'`);\n }\n return manager;\n }\n static getSchemes() {\n return Object.keys(this.getInstance().managers);\n }\n}\n/**\n * Helper method for parsing a URL string into a scheme and a path.\n *\n * @param url E.g., 'localstorage://my-model'\n * @returns A dictionary with two fields: scheme and path.\n * Scheme: e.g., 'localstorage' in the example above.\n * Path: e.g., 'my-model' in the example above.\n */\nfunction parseURL(url) {\n if (url.indexOf(URL_SCHEME_SUFFIX) === -1) {\n throw new Error(`The url string provided does not contain a scheme. ` +\n `Supported schemes are: ` +\n `${ModelStoreManagerRegistry.getSchemes().join(',')}`);\n }\n return {\n scheme: url.split(URL_SCHEME_SUFFIX)[0],\n path: url.split(URL_SCHEME_SUFFIX)[1],\n };\n}\nasync function cloneModelInternal(sourceURL, destURL, deleteSource = false) {\n assert(sourceURL !== destURL, () => `Old path and new path are the same: '${sourceURL}'`);\n const loadHandlers = IORouterRegistry.getLoadHandlers(sourceURL);\n assert(loadHandlers.length > 0, () => `Copying failed because no load handler is found for source URL ${sourceURL}.`);\n assert(loadHandlers.length < 2, () => `Copying failed because more than one (${loadHandlers.length}) ` +\n `load handlers for source URL ${sourceURL}.`);\n const loadHandler = loadHandlers[0];\n const saveHandlers = IORouterRegistry.getSaveHandlers(destURL);\n assert(saveHandlers.length > 0, () => `Copying failed because no save handler is found for destination ` +\n `URL ${destURL}.`);\n assert(saveHandlers.length < 2, () => `Copying failed because more than one (${loadHandlers.length}) ` +\n `save handlers for destination URL ${destURL}.`);\n const saveHandler = saveHandlers[0];\n const sourceScheme = parseURL(sourceURL).scheme;\n const sourcePath = parseURL(sourceURL).path;\n const sameMedium = sourceScheme === parseURL(sourceURL).scheme;\n const modelArtifacts = await loadHandler.load();\n // If moving within the same storage medium, remove the old model as soon as\n // the loading is done. Without doing this, it is possible that the combined\n // size of the two models will cause the cloning to fail.\n if (deleteSource && sameMedium) {\n await ModelStoreManagerRegistry.getManager(sourceScheme)\n .removeModel(sourcePath);\n }\n const saveResult = await saveHandler.save(modelArtifacts);\n // If moving between mediums, the deletion is done after the save succeeds.\n // This guards against the case in which saving to the destination medium\n // fails.\n if (deleteSource && !sameMedium) {\n await ModelStoreManagerRegistry.getManager(sourceScheme)\n .removeModel(sourcePath);\n }\n return saveResult.modelArtifactsInfo;\n}\n/**\n * List all models stored in registered storage mediums.\n *\n * For a web browser environment, the registered mediums are Local Storage and\n * IndexedDB.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n * {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @returns A `Promise` of a dictionary mapping URLs of existing models to\n * their model artifacts info. URLs include medium-specific schemes, e.g.,\n * 'indexeddb://my/model/1'. Model artifacts info include type of the\n * model's topology, byte sizes of the topology, weights, etc.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Management',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nasync function listModels() {\n const schemes = ModelStoreManagerRegistry.getSchemes();\n const out = {};\n for (const scheme of schemes) {\n const schemeOut = await ModelStoreManagerRegistry.getManager(scheme).listModels();\n for (const path in schemeOut) {\n const url = scheme + URL_SCHEME_SUFFIX + path;\n out[url] = schemeOut[path];\n }\n }\n return out;\n}\n/**\n * Remove a model specified by URL from a reigstered storage medium.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n * {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @param url A URL to a stored model, with a scheme prefix, e.g.,\n * 'localstorage://my-model-1', 'indexeddb://my/model/2'.\n * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n * is successful).\n * @throws Error if deletion fails, e.g., if no model exists at `path`.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Management',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nasync function removeModel(url) {\n const schemeAndPath = parseURL(url);\n const manager = ModelStoreManagerRegistry.getManager(schemeAndPath.scheme);\n return manager.removeModel(schemeAndPath.path);\n}\n/**\n * Copy a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Copying within a storage medium, e.g.,\n * `tf.io.copyModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Copying between two storage mediums, e.g.,\n * `tf.io.copyModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n * {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Copy the model, from Local Storage to IndexedDB.\n * await tf.io.copyModel(\n * 'localstorage://demo/management/model1',\n * 'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove both models.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of copying.\n * @param destURL Destination URL of copying.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n * is successful).\n * @throws Error if copying fails, e.g., if no model exists at `sourceURL`, or\n * if `oldPath` and `newPath` are identical.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Management',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nasync function copyModel(sourceURL, destURL) {\n const deleteSource = false;\n return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n/**\n * Move a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Moving within a storage medium, e.g.,\n * `tf.io.moveModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Moving between two storage mediums, e.g.,\n * `tf.io.moveModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n * {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Move the model, from Local Storage to IndexedDB.\n * await tf.io.moveModel(\n * 'localstorage://demo/management/model1',\n * 'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove the moved model.\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of moving.\n * @param destURL Destination URL of moving.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n * is successful).\n * @throws Error if moving fails, e.g., if no model exists at `sourceURL`, or\n * if `oldPath` and `newPath` are identical.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Management',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nasync function moveModel(sourceURL, destURL) {\n const deleteSource = true;\n return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\nexport { moveModel, copyModel, removeModel, listModels };\n//# sourceMappingURL=model_management.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport '../flags';\nimport { env } from '../environment';\nimport { BrowserIndexedDB, BrowserIndexedDBManager } from '../io/indexed_db';\nimport { BrowserLocalStorage, BrowserLocalStorageManager } from '../io/local_storage';\nimport { ModelStoreManagerRegistry } from '../io/model_management';\nexport class PlatformBrowser {\n fetch(path, init) {\n return fetch(path, init);\n }\n now() {\n return performance.now();\n }\n encode(text, encoding) {\n if (encoding !== 'utf-8' && encoding !== 'utf8') {\n throw new Error(`Browser's encoder only supports utf-8, but got ${encoding}`);\n }\n if (this.textEncoder == null) {\n this.textEncoder = new TextEncoder();\n }\n return this.textEncoder.encode(text);\n }\n decode(bytes, encoding) {\n return new TextDecoder(encoding).decode(bytes);\n }\n}\nif (env().get('IS_BROWSER')) {\n env().setPlatform('browser', new PlatformBrowser());\n // Register LocalStorage IOHandler\n try {\n ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME, new BrowserLocalStorageManager());\n }\n catch (err) {\n }\n // Register IndexedDB IOHandler\n try {\n ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME, new BrowserIndexedDBManager());\n }\n catch (err) {\n }\n}\n//# sourceMappingURL=platform_browser.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { env } from '../environment';\n// We are wrapping this within an object so it can be stubbed by Jasmine.\nexport const getNodeFetch = {\n // tslint:disable-next-line:no-require-imports\n importFetch: () => require('node-fetch')\n};\nlet systemFetch;\n// These getters and setters are for testing so we don't export a mutable\n// variable.\nexport function resetSystemFetch() {\n systemFetch = null;\n}\nexport function setSystemFetch(fetchFn) {\n systemFetch = fetchFn;\n}\nexport function getSystemFetch() {\n return systemFetch;\n}\nexport class PlatformNode {\n constructor() {\n // tslint:disable-next-line:no-require-imports\n this.util = require('util');\n // According to the spec, the built-in encoder can do only UTF-8 encoding.\n // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n this.textEncoder = new this.util.TextEncoder();\n }\n fetch(path, requestInits) {\n if (env().global.fetch != null) {\n return env().global.fetch(path, requestInits);\n }\n if (systemFetch == null) {\n systemFetch = getNodeFetch.importFetch();\n }\n return systemFetch(path, requestInits);\n }\n now() {\n const time = process.hrtime();\n return time[0] * 1000 + time[1] / 1000000;\n }\n encode(text, encoding) {\n if (encoding !== 'utf-8' && encoding !== 'utf8') {\n throw new Error(`Node built-in encoder only supports utf-8, but got ${encoding}`);\n }\n return this.textEncoder.encode(text);\n }\n decode(bytes, encoding) {\n if (bytes.length === 0) {\n return '';\n }\n return new this.util.TextDecoder(encoding).decode(bytes);\n }\n}\nif (env().get('IS_NODE')) {\n env().setPlatform('node', new PlatformNode());\n}\n//# sourceMappingURL=platform_node.js.map","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { TensorBuffer } from '../tensor';\nimport * as util from '../util';\n/**\n * Creates an empty `tf.TensorBuffer` with the specified `shape` and `dtype`.\n *\n * The values are stored in CPU as `TypedArray`. Fill the buffer using\n * `buffer.set()`, or by modifying directly `buffer.values`.\n *\n * When done, call `buffer.toTensor()` to get an immutable `tf.Tensor` with\n * those values.\n *\n * ```js\n * // Create a buffer and set values at particular indices.\n * const buffer = tf.buffer([2, 2]);\n * buffer.set(3, 0, 0);\n * buffer.set(5, 1, 0);\n *\n * // Convert the buffer back to a tensor.\n * buffer.toTensor().print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The dtype of the buffer. Defaults to 'float32'.\n * @param values The values of the buffer as `TypedArray`. Defaults to\n * zeros.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nexport function buffer(shape, dtype = 'float32', values) {\n dtype = dtype || 'float32';\n util.assertNonNegativeIntegerDimensions(shape);\n return new TensorBuffer(shape, dtype, values);\n}\n//# sourceMappingURL=buffer.js.map","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { Cast } from '../kernel_names';\nimport { convertToTensor } from '../tensor_util_env';\nimport * as util from '../util';\nimport { op } from './operation';\n/**\n * Casts a `tf.Tensor` to a new dtype.\n *\n * ```js\n * const x = tf.tensor1d([1.5, 2.5, 3]);\n * tf.cast(x, 'int32').print();\n * ```\n * @param x The input tensor to be casted.\n * @param dtype The dtype to cast the input tensor to.\n *\n * @doc {heading: 'Tensors', subheading: 'Transformations'}\n */\nfunction cast_(x, dtype) {\n const $x = convertToTensor(x, 'x', 'cast');\n // Sanity checks.\n if (!util.isValidDtype(dtype)) {\n throw new Error(`Failed to cast to unknown dtype ${dtype}`);\n }\n if (dtype === 'string' && $x.dtype !== 'string' ||\n dtype !== 'string' && $x.dtype === 'string') {\n throw new Error('Only strings can be casted to strings');\n }\n const inputs = { x: $x };\n const attrs = { dtype };\n return ENGINE.runKernel(Cast, inputs, attrs);\n}\nexport const cast = op({ cast_ });\n//# sourceMappingURL=cast.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { Identity } from '../kernel_names';\nimport { convertToTensor } from '../tensor_util_env';\nimport { op } from './operation';\n/**\n * Creates a new tensor with the same values and shape as the specified\n * tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n *\n * x.clone().print();\n * ```\n *\n * @param x The tensor to clone.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nfunction clone_(x) {\n const $x = convertToTensor(x, 'x', 'clone', 'string_or_numeric');\n const inputs = { x: $x };\n // Note this op is called tf.identity in python. Hence the kernel name used\n // here.\n return ENGINE.runKernel(Identity, inputs);\n}\nexport const clone = op({ clone_ });\n//# sourceMappingURL=clone.js.map","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * Prints information about the `tf.Tensor` including its data.\n *\n * ```js\n * const verbose = true;\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print(verbose);\n * ```\n * @param x The tensor to be printed.\n * @param verbose Whether to print verbose information about the ` Tensor`,\n * including dtype and size.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nexport function print(x, verbose = false) {\n console.log(x.toString(verbose));\n}\n//# sourceMappingURL=print.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * IOHandlers related to files, such as browser-triggered file downloads,\n * user-selected files in browser.\n */\nimport '../flags';\nimport { env } from '../environment';\nimport { basename, concatenateArrayBuffers, getModelArtifactsInfoForJSON } from './io_utils';\nimport { IORouterRegistry } from './router_registry';\nconst DEFAULT_FILE_NAME_PREFIX = 'model';\nconst DEFAULT_JSON_EXTENSION_NAME = '.json';\nconst DEFAULT_WEIGHT_DATA_EXTENSION_NAME = '.weights.bin';\nfunction defer(f) {\n return new Promise(resolve => setTimeout(resolve)).then(f);\n}\nexport class BrowserDownloads {\n constructor(fileNamePrefix) {\n if (!env().getBool('IS_BROWSER')) {\n // TODO(cais): Provide info on what IOHandlers are available under the\n // current environment.\n throw new Error('browserDownloads() cannot proceed because the current environment ' +\n 'is not a browser.');\n }\n if (fileNamePrefix.startsWith(BrowserDownloads.URL_SCHEME)) {\n fileNamePrefix = fileNamePrefix.slice(BrowserDownloads.URL_SCHEME.length);\n }\n if (fileNamePrefix == null || fileNamePrefix.length === 0) {\n fileNamePrefix = DEFAULT_FILE_NAME_PREFIX;\n }\n this.modelTopologyFileName = fileNamePrefix + DEFAULT_JSON_EXTENSION_NAME;\n this.weightDataFileName =\n fileNamePrefix + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;\n }\n async save(modelArtifacts) {\n if (typeof (document) === 'undefined') {\n throw new Error('Browser downloads are not supported in ' +\n 'this environment since `document` is not present');\n }\n const weightsURL = window.URL.createObjectURL(new Blob([modelArtifacts.weightData], { type: 'application/octet-stream' }));\n if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n throw new Error('BrowserDownloads.save() does not support saving model topology ' +\n 'in binary formats yet.');\n }\n else {\n const weightsManifest = [{\n paths: ['./' + this.weightDataFileName],\n weights: modelArtifacts.weightSpecs\n }];\n const modelTopologyAndWeightManifest = {\n modelTopology: modelArtifacts.modelTopology,\n format: modelArtifacts.format,\n generatedBy: modelArtifacts.generatedBy,\n convertedBy: modelArtifacts.convertedBy,\n weightsManifest\n };\n if (modelArtifacts.signature != null) {\n modelTopologyAndWeightManifest.signature = modelArtifacts.signature;\n }\n if (modelArtifacts.userDefinedMetadata != null) {\n modelTopologyAndWeightManifest.userDefinedMetadata =\n modelArtifacts.userDefinedMetadata;\n }\n if (modelArtifacts.modelInitializer != null) {\n modelTopologyAndWeightManifest.modelInitializer =\n modelArtifacts.modelInitializer;\n }\n const modelTopologyAndWeightManifestURL = window.URL.createObjectURL(new Blob([JSON.stringify(modelTopologyAndWeightManifest)], { type: 'application/json' }));\n // If anchor elements are not provided, create them without attaching them\n // to parents, so that the downloaded file names can be controlled.\n const jsonAnchor = this.jsonAnchor == null ? document.createElement('a') :\n this.jsonAnchor;\n jsonAnchor.download = this.modelTopologyFileName;\n jsonAnchor.href = modelTopologyAndWeightManifestURL;\n // Trigger downloads by evoking a click event on the download anchors.\n // When multiple downloads are started synchronously, Firefox will only\n // save the last one.\n await defer(() => jsonAnchor.dispatchEvent(new MouseEvent('click')));\n if (modelArtifacts.weightData != null) {\n const weightDataAnchor = this.weightDataAnchor == null ?\n document.createElement('a') :\n this.weightDataAnchor;\n weightDataAnchor.download = this.weightDataFileName;\n weightDataAnchor.href = weightsURL;\n await defer(() => weightDataAnchor.dispatchEvent(new MouseEvent('click')));\n }\n return { modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts) };\n }\n }\n}\nBrowserDownloads.URL_SCHEME = 'downloads://';\nclass BrowserFiles {\n constructor(files) {\n if (files == null || files.length < 1) {\n throw new Error(`When calling browserFiles, at least 1 file is required, ` +\n `but received ${files}`);\n }\n this.files = files;\n }\n async load() {\n const jsonFile = this.files[0];\n const weightFiles = this.files.slice(1);\n return new Promise((resolve, reject) => {\n const jsonReader = new FileReader();\n jsonReader.onload = (event) => {\n // tslint:disable-next-line:no-any\n const modelJSON = JSON.parse(event.target.result);\n const modelTopology = modelJSON.modelTopology;\n if (modelTopology == null) {\n reject(new Error(`modelTopology field is missing from file ${jsonFile.name}`));\n return;\n }\n if (weightFiles.length === 0) {\n resolve({ modelTopology });\n }\n const weightsManifest = modelJSON.weightsManifest;\n if (weightsManifest == null) {\n reject(new Error(`weightManifest field is missing from file ${jsonFile.name}`));\n return;\n }\n let pathToFile;\n try {\n pathToFile =\n this.checkManifestAndWeightFiles(weightsManifest, weightFiles);\n }\n catch (err) {\n reject(err);\n return;\n }\n const weightSpecs = [];\n const paths = [];\n const perFileBuffers = [];\n weightsManifest.forEach(weightsGroup => {\n weightsGroup.paths.forEach(path => {\n paths.push(path);\n perFileBuffers.push(null);\n });\n weightSpecs.push(...weightsGroup.weights);\n });\n weightsManifest.forEach(weightsGroup => {\n weightsGroup.paths.forEach(path => {\n const weightFileReader = new FileReader();\n weightFileReader.onload = (event) => {\n // tslint:disable-next-line:no-any\n const weightData = event.target.result;\n const index = paths.indexOf(path);\n perFileBuffers[index] = weightData;\n if (perFileBuffers.indexOf(null) === -1) {\n const result = {\n modelTopology,\n weightSpecs,\n weightData: concatenateArrayBuffers(perFileBuffers),\n format: modelJSON.format,\n generatedBy: modelJSON.generatedBy,\n convertedBy: modelJSON.convertedBy\n };\n if (modelJSON.signature != null) {\n result.signature = modelJSON.signature;\n }\n if (modelJSON.userDefinedMetadata != null) {\n result.userDefinedMetadata = modelJSON.userDefinedMetadata;\n }\n if (modelJSON.modelInitializer != null) {\n result.modelInitializer = modelJSON.modelInitializer;\n }\n resolve(result);\n }\n };\n weightFileReader.onerror = error => reject(`Failed to weights data from file of path '${path}'.`);\n weightFileReader.readAsArrayBuffer(pathToFile[path]);\n });\n });\n };\n jsonReader.onerror = error => reject(`Failed to read model topology and weights manifest JSON ` +\n `from file '${jsonFile.name}'. BrowserFiles supports loading ` +\n `Keras-style tf.Model artifacts only.`);\n jsonReader.readAsText(jsonFile);\n });\n }\n /**\n * Check the compatibility between weights manifest and weight files.\n */\n checkManifestAndWeightFiles(manifest, files) {\n const basenames = [];\n const fileNames = files.map(file => basename(file.name));\n const pathToFile = {};\n for (const group of manifest) {\n group.paths.forEach(path => {\n const pathBasename = basename(path);\n if (basenames.indexOf(pathBasename) !== -1) {\n throw new Error(`Duplicate file basename found in weights manifest: ` +\n `'${pathBasename}'`);\n }\n basenames.push(pathBasename);\n if (fileNames.indexOf(pathBasename) === -1) {\n throw new Error(`Weight file with basename '${pathBasename}' is not provided.`);\n }\n else {\n pathToFile[path] = files[fileNames.indexOf(pathBasename)];\n }\n });\n }\n if (basenames.length !== files.length) {\n throw new Error(`Mismatch in the number of files in weights manifest ` +\n `(${basenames.length}) and the number of weight files provided ` +\n `(${files.length}).`);\n }\n return pathToFile;\n }\n}\nexport const browserDownloadsRouter = (url) => {\n if (!env().getBool('IS_BROWSER')) {\n return null;\n }\n else {\n if (!Array.isArray(url) && url.startsWith(BrowserDownloads.URL_SCHEME)) {\n return browserDownloads(url.slice(BrowserDownloads.URL_SCHEME.length));\n }\n else {\n return null;\n }\n }\n};\nIORouterRegistry.registerSaveRouter(browserDownloadsRouter);\n/**\n * Creates an IOHandler that triggers file downloads from the browser.\n *\n * The returned `IOHandler` instance can be used as model exporting methods such\n * as `tf.Model.save` and supports only saving.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n * {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * const saveResult = await model.save('downloads://mymodel');\n * // This will trigger downloading of two files:\n * // 'mymodel.json' and 'mymodel.weights.bin'.\n * console.log(saveResult);\n * ```\n *\n * @param fileNamePrefix Prefix name of the files to be downloaded. For use with\n * `tf.Model`, `fileNamePrefix` should follow either of the following two\n * formats:\n * 1. `null` or `undefined`, in which case the default file\n * names will be used:\n * - 'model.json' for the JSON file containing the model topology and\n * weights manifest.\n * - 'model.weights.bin' for the binary file containing the binary weight\n * values.\n * 2. A single string or an Array of a single string, as the file name prefix.\n * For example, if `'foo'` is provided, the downloaded JSON\n * file and binary weights file will be named 'foo.json' and\n * 'foo.weights.bin', respectively.\n * @param config Additional configuration for triggering downloads.\n * @returns An instance of `BrowserDownloads` `IOHandler`.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Loading',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nexport function browserDownloads(fileNamePrefix = 'model') {\n return new BrowserDownloads(fileNamePrefix);\n}\n/**\n * Creates an IOHandler that loads model artifacts from user-selected files.\n *\n * This method can be used for loading from files such as user-selected files\n * in the browser.\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * // Note: This code snippet won't run properly without the actual file input\n * // elements in the HTML DOM.\n *\n * // Suppose there are two HTML file input (``)\n * // elements.\n * const uploadJSONInput = document.getElementById('upload-json');\n * const uploadWeightsInput = document.getElementById('upload-weights');\n * const model = await tf.loadLayersModel(tf.io.browserFiles(\n * [uploadJSONInput.files[0], uploadWeightsInput.files[0]]));\n * ```\n *\n * @param files `File`s to load from. Currently, this function supports only\n * loading from files that contain Keras-style models (i.e., `tf.Model`s), for\n * which an `Array` of `File`s is expected (in that order):\n * - A JSON file containing the model topology and weight manifest.\n * - Optionally, One or more binary files containing the binary weights.\n * These files must have names that match the paths in the `weightsManifest`\n * contained by the aforementioned JSON file, or errors will be thrown\n * during loading. These weights files have the same format as the ones\n * generated by `tensorflowjs_converter` that comes with the `tensorflowjs`\n * Python PIP package. If no weights files are provided, only the model\n * topology will be loaded from the JSON file above.\n * @returns An instance of `Files` `IOHandler`.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Loading',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nexport function browserFiles(files) {\n return new BrowserFiles(files);\n}\n//# sourceMappingURL=browser_files.js.map","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// Required side effectful code for tfjs-core\n// Set up Engine and ENV\nimport { getOrMakeEngine } from './engine';\ngetOrMakeEngine();\n// Register backend-agnostic flags.\nimport './flags';\n// Register platforms\nimport './platforms/platform_browser';\nimport './platforms/platform_node';\n// Set up OpHandler\nimport { buffer } from './ops/buffer';\nimport { cast } from './ops/cast';\nimport { clone } from './ops/clone';\nimport { print } from './ops/print';\nimport { setOpHandler } from './tensor';\nconst opHandler = {\n buffer,\n cast,\n clone,\n print\n};\nsetOpHandler(opHandler);\n//# sourceMappingURL=base_side_effects.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { assert } from '../util';\n/**\n * Monitor Promise.all progress, fire onProgress callback function.\n *\n * @param promises Promise list going to be monitored\n * @param onProgress Callback function. Fired when a promise resolved.\n * @param startFraction Optional fraction start. Default to 0.\n * @param endFraction Optional fraction end. Default to 1.\n */\nexport function monitorPromisesProgress(promises, onProgress, startFraction, endFraction) {\n checkPromises(promises);\n startFraction = startFraction == null ? 0 : startFraction;\n endFraction = endFraction == null ? 1 : endFraction;\n checkFraction(startFraction, endFraction);\n let resolvedPromise = 0;\n const registerMonitor = (promise) => {\n promise.then(value => {\n const fraction = startFraction +\n ++resolvedPromise / promises.length * (endFraction - startFraction);\n // pass fraction as parameter to callback function.\n onProgress(fraction);\n return value;\n });\n return promise;\n };\n function checkPromises(promises) {\n assert(promises != null && Array.isArray(promises) && promises.length > 0, () => 'promises must be a none empty array');\n }\n function checkFraction(startFraction, endFraction) {\n assert(startFraction >= 0 && startFraction <= 1, () => `Progress fraction must be in range [0, 1], but ` +\n `got startFraction ${startFraction}`);\n assert(endFraction >= 0 && endFraction <= 1, () => `Progress fraction must be in range [0, 1], but ` +\n `got endFraction ${endFraction}`);\n assert(endFraction >= startFraction, () => `startFraction must be no more than endFraction, but ` +\n `got startFraction ${startFraction} and endFraction ` +\n `${endFraction}`);\n }\n return Promise.all(promises.map(registerMonitor));\n}\n//# sourceMappingURL=progress.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { env } from '../environment';\nimport * as util from '../util';\nimport { decodeWeights } from './io_utils';\nimport { monitorPromisesProgress } from './progress';\nimport { DTYPE_VALUE_SIZE_MAP } from './types';\n/**\n * Reads binary weights data from a number of URLs.\n *\n * @param fetchURLs URLs to send the HTTP requests at, using `fetch` calls.\n * @param requestOptions RequestInit (options) for the HTTP requests.\n * @param fetchFunc Optional overriding value for the `window.fetch` function.\n * @param onProgress Optional, progress callback function, fired periodically\n * before the load is completed.\n * @returns A `Promise` of an Array of `ArrayBuffer`. The Array has the same\n * length as `fetchURLs`.\n */\nexport async function loadWeightsAsArrayBuffer(fetchURLs, loadOptions) {\n if (loadOptions == null) {\n loadOptions = {};\n }\n const fetchFunc = loadOptions.fetchFunc == null ? env().platform.fetch :\n loadOptions.fetchFunc;\n // Create the requests for all of the weights in parallel.\n const requests = fetchURLs.map(fetchURL => fetchFunc(fetchURL, loadOptions.requestInit, { isBinary: true }));\n const fetchStartFraction = 0;\n const fetchEndFraction = 0.5;\n const responses = loadOptions.onProgress == null ?\n await Promise.all(requests) :\n await monitorPromisesProgress(requests, loadOptions.onProgress, fetchStartFraction, fetchEndFraction);\n const bufferPromises = responses.map(response => response.arrayBuffer());\n const bufferStartFraction = 0.5;\n const bufferEndFraction = 1;\n const buffers = loadOptions.onProgress == null ?\n await Promise.all(bufferPromises) :\n await monitorPromisesProgress(bufferPromises, loadOptions.onProgress, bufferStartFraction, bufferEndFraction);\n return buffers;\n}\n/**\n * Reads a weights manifest JSON configuration, fetches the weights and\n * returns them as `Tensor`s.\n *\n * @param manifest The weights manifest JSON.\n * @param filePathPrefix The path prefix for filenames given in the manifest.\n * Defaults to the empty string.\n * @param weightNames The names of the weights to be fetched.\n */\nexport async function loadWeights(manifest, filePathPrefix = '', weightNames, requestInit) {\n // TODO(nsthorat): Groups are currently fetched atomically. If you need a\n // single weight from a group, the whole group will be fetched. At a future\n // date, we should support fetching only the individual shards within a\n // group that are needed to reconstruct the requested weight.\n // TODO(cais): Use `decodeWeights` for implementation.\n const fetchWeights = (fetchUrls) => loadWeightsAsArrayBuffer(fetchUrls, { requestInit });\n const loadWeights = weightsLoaderFactory(fetchWeights);\n return loadWeights(manifest, filePathPrefix, weightNames);\n}\n/**\n * Creates a function, which reads a weights manifest JSON configuration,\n * fetches the weight files using the specified function and returns them as\n * `Tensor`s.\n *\n * ```js\n * // example for creating a nodejs weight loader, which reads the weight files\n * // from disk using fs.readFileSync\n *\n * import * as fs from 'fs'\n *\n * const fetchWeightsFromDisk = (filePaths: string[]) =>\n * filePaths.map(filePath => fs.readFileSync(filePath).buffer)\n *\n * const loadWeights = tf.io.weightsLoaderFactory(fetchWeightsFromDisk)\n *\n * const manifest = JSON.parse(\n * fs.readFileSync('./my_model-weights_manifest').toString()\n * )\n * const weightMap = await loadWeights(manifest, './')\n * ```\n * @param fetchWeightsFunction The function used for fetching the weight files.\n * @returns Weight loading function.\n */\nexport function weightsLoaderFactory(fetchWeightsFunction) {\n return async (manifest, filePathPrefix = '', weightNames) => {\n // Collect all the groups, weights, and their relative offsets to be\n // fetched.\n const groupIndicesToFetchMap = manifest.map(() => false);\n const groupWeightsToFetch = {};\n const weightsFound = weightNames != null ? weightNames.map(() => false) : [];\n const allManifestWeightNames = [];\n manifest.forEach((manifestGroupConfig, groupIndex) => {\n let groupOffset = 0;\n manifestGroupConfig.weights.forEach(weightsEntry => {\n const rawDtype = ('quantization' in weightsEntry) ?\n weightsEntry.quantization.dtype :\n weightsEntry.dtype;\n const weightsBytes = DTYPE_VALUE_SIZE_MAP[rawDtype] *\n util.sizeFromShape(weightsEntry.shape);\n const enqueueWeightsForFetchingFn = () => {\n groupIndicesToFetchMap[groupIndex] = true;\n if (groupWeightsToFetch[groupIndex] == null) {\n groupWeightsToFetch[groupIndex] = [];\n }\n groupWeightsToFetch[groupIndex].push({\n manifestEntry: weightsEntry,\n groupOffset,\n sizeBytes: weightsBytes\n });\n };\n if (weightNames != null) {\n weightNames.forEach((weightName, weightIndex) => {\n if (weightName === weightsEntry.name) {\n enqueueWeightsForFetchingFn();\n weightsFound[weightIndex] = true;\n }\n });\n }\n else {\n enqueueWeightsForFetchingFn();\n }\n allManifestWeightNames.push(weightsEntry.name);\n groupOffset += weightsBytes;\n });\n });\n if (!weightsFound.every(found => found)) {\n const weightsNotFound = weightNames.filter((_, i) => !weightsFound[i]);\n throw new Error(`Could not find weights in manifest with names: ` +\n `${weightsNotFound.join(', ')}. \\n` +\n `Manifest JSON has weights with names: ` +\n `${allManifestWeightNames.join(', ')}.`);\n }\n // Convert the one-hot boolean groupId => shouldFetch map to a list of group\n // IDs.\n const groupIndicesToFetch = groupIndicesToFetchMap.reduce((accumulator, shouldFetch, i) => {\n if (shouldFetch) {\n accumulator.push(i);\n }\n return accumulator;\n }, []);\n const fetchUrls = [];\n groupIndicesToFetch.forEach(i => {\n manifest[i].paths.forEach(filepath => {\n const fetchUrl = filePathPrefix +\n (!filePathPrefix.endsWith('/') ? '/' : '') + filepath;\n fetchUrls.push(fetchUrl);\n });\n });\n const buffers = await fetchWeightsFunction(fetchUrls);\n const weightsTensorMap = {};\n let bufferIndexOffset = 0;\n groupIndicesToFetch.forEach(i => {\n const numBuffers = manifest[i].paths.length;\n let groupBytes = 0;\n for (let i = 0; i < numBuffers; i++) {\n groupBytes += buffers[bufferIndexOffset + i].byteLength;\n }\n // Create a buffer for the whole group.\n const groupBuffer = new ArrayBuffer(groupBytes);\n const groupByteBuffer = new Uint8Array(groupBuffer);\n let groupBufferOffset = 0;\n for (let i = 0; i < numBuffers; i++) {\n const buffer = new Uint8Array(buffers[bufferIndexOffset + i]);\n groupByteBuffer.set(buffer, groupBufferOffset);\n groupBufferOffset += buffer.byteLength;\n }\n const weightsEntries = groupWeightsToFetch[i];\n weightsEntries.forEach(weightsEntry => {\n const byteBuffer = groupBuffer.slice(weightsEntry.groupOffset, weightsEntry.groupOffset + weightsEntry.sizeBytes);\n const nameToTensorMap = decodeWeights(byteBuffer, [weightsEntry.manifestEntry]);\n for (const name in nameToTensorMap) {\n weightsTensorMap[name] = nameToTensorMap[name];\n }\n });\n bufferIndexOffset += numBuffers;\n });\n return weightsTensorMap;\n };\n}\n//# sourceMappingURL=weights_loader.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * IOHandler implementations based on HTTP requests in the web browser.\n *\n * Uses [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n */\nimport { env } from '../environment';\nimport { assert } from '../util';\nimport { concatenateArrayBuffers, getModelArtifactsInfoForJSON } from './io_utils';\nimport { IORouterRegistry } from './router_registry';\nimport { loadWeightsAsArrayBuffer } from './weights_loader';\nconst OCTET_STREAM_MIME_TYPE = 'application/octet-stream';\nconst JSON_TYPE = 'application/json';\nexport class HTTPRequest {\n constructor(path, loadOptions) {\n this.DEFAULT_METHOD = 'POST';\n if (loadOptions == null) {\n loadOptions = {};\n }\n this.weightPathPrefix = loadOptions.weightPathPrefix;\n this.onProgress = loadOptions.onProgress;\n this.weightUrlConverter = loadOptions.weightUrlConverter;\n if (loadOptions.fetchFunc != null) {\n assert(typeof loadOptions.fetchFunc === 'function', () => 'Must pass a function that matches the signature of ' +\n '`fetch` (see ' +\n 'https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)');\n this.fetch = loadOptions.fetchFunc;\n }\n else {\n this.fetch = env().platform.fetch;\n }\n assert(path != null && path.length > 0, () => 'URL path for http must not be null, undefined or ' +\n 'empty.');\n if (Array.isArray(path)) {\n assert(path.length === 2, () => 'URL paths for http must have a length of 2, ' +\n `(actual length is ${path.length}).`);\n }\n this.path = path;\n if (loadOptions.requestInit != null &&\n loadOptions.requestInit.body != null) {\n throw new Error('requestInit is expected to have no pre-existing body, but has one.');\n }\n this.requestInit = loadOptions.requestInit || {};\n }\n async save(modelArtifacts) {\n if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n throw new Error('BrowserHTTPRequest.save() does not support saving model topology ' +\n 'in binary formats yet.');\n }\n const init = Object.assign({ method: this.DEFAULT_METHOD }, this.requestInit);\n init.body = new FormData();\n const weightsManifest = [{\n paths: ['./model.weights.bin'],\n weights: modelArtifacts.weightSpecs,\n }];\n const modelTopologyAndWeightManifest = {\n modelTopology: modelArtifacts.modelTopology,\n format: modelArtifacts.format,\n generatedBy: modelArtifacts.generatedBy,\n convertedBy: modelArtifacts.convertedBy,\n weightsManifest\n };\n if (modelArtifacts.signature != null) {\n modelTopologyAndWeightManifest.signature = modelArtifacts.signature;\n }\n if (modelArtifacts.userDefinedMetadata != null) {\n modelTopologyAndWeightManifest.userDefinedMetadata =\n modelArtifacts.userDefinedMetadata;\n }\n if (modelArtifacts.modelInitializer != null) {\n modelTopologyAndWeightManifest.modelInitializer =\n modelArtifacts.modelInitializer;\n }\n init.body.append('model.json', new Blob([JSON.stringify(modelTopologyAndWeightManifest)], { type: JSON_TYPE }), 'model.json');\n if (modelArtifacts.weightData != null) {\n init.body.append('model.weights.bin', new Blob([modelArtifacts.weightData], { type: OCTET_STREAM_MIME_TYPE }), 'model.weights.bin');\n }\n const response = await this.fetch(this.path, init);\n if (response.ok) {\n return {\n modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts),\n responses: [response],\n };\n }\n else {\n throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ` +\n `${response.status}.`);\n }\n }\n /**\n * Load model artifacts via HTTP request(s).\n *\n * See the documentation to `tf.io.http` for details on the saved\n * artifacts.\n *\n * @returns The loaded model artifacts (if loading succeeds).\n */\n async load() {\n const modelConfigRequest = await this.fetch(this.path, this.requestInit);\n if (!modelConfigRequest.ok) {\n throw new Error(`Request to ${this.path} failed with status code ` +\n `${modelConfigRequest.status}. Please verify this URL points to ` +\n `the model JSON of the model to load.`);\n }\n let modelConfig;\n try {\n modelConfig = await modelConfigRequest.json();\n }\n catch (e) {\n let message = `Failed to parse model JSON of response from ${this.path}.`;\n // TODO(nsthorat): Remove this after some time when we're comfortable that\n // .pb files are mostly gone.\n if (this.path.endsWith('.pb')) {\n message += ' Your path contains a .pb file extension. ' +\n 'Support for .pb models have been removed in TensorFlow.js 1.0 ' +\n 'in favor of .json models. You can re-convert your Python ' +\n 'TensorFlow model using the TensorFlow.js 1.0 conversion scripts ' +\n 'or you can convert your.pb models with the \\'pb2json\\'' +\n 'NPM script in the tensorflow/tfjs-converter repository.';\n }\n else {\n message += ' Please make sure the server is serving valid ' +\n 'JSON for this request.';\n }\n throw new Error(message);\n }\n const modelTopology = modelConfig.modelTopology;\n const weightsManifest = modelConfig.weightsManifest;\n const generatedBy = modelConfig.generatedBy;\n const convertedBy = modelConfig.convertedBy;\n const format = modelConfig.format;\n const signature = modelConfig.signature;\n const userDefinedMetadata = modelConfig.userDefinedMetadata;\n // We do not allow both modelTopology and weightsManifest to be missing.\n if (modelTopology == null && weightsManifest == null) {\n throw new Error(`The JSON from HTTP path ${this.path} contains neither model ` +\n `topology or manifest for weights.`);\n }\n let weightSpecs;\n let weightData;\n if (weightsManifest != null) {\n const results = await this.loadWeights(weightsManifest);\n [weightSpecs, weightData] = results;\n }\n const artifacts = {\n modelTopology,\n weightSpecs,\n weightData,\n generatedBy,\n convertedBy,\n format\n };\n if (signature != null) {\n artifacts.signature = signature;\n }\n if (userDefinedMetadata != null) {\n artifacts.userDefinedMetadata = userDefinedMetadata;\n }\n const initializer = modelConfig.modelInitializer;\n if (initializer) {\n artifacts.modelInitializer = initializer;\n }\n return artifacts;\n }\n async loadWeights(weightsManifest) {\n const weightPath = Array.isArray(this.path) ? this.path[1] : this.path;\n const [prefix, suffix] = parseUrl(weightPath);\n const pathPrefix = this.weightPathPrefix || prefix;\n const weightSpecs = [];\n for (const entry of weightsManifest) {\n weightSpecs.push(...entry.weights);\n }\n const fetchURLs = [];\n const urlPromises = [];\n for (const weightsGroup of weightsManifest) {\n for (const path of weightsGroup.paths) {\n if (this.weightUrlConverter != null) {\n urlPromises.push(this.weightUrlConverter(path));\n }\n else {\n fetchURLs.push(pathPrefix + path + suffix);\n }\n }\n }\n if (this.weightUrlConverter) {\n fetchURLs.push(...await Promise.all(urlPromises));\n }\n const buffers = await loadWeightsAsArrayBuffer(fetchURLs, {\n requestInit: this.requestInit,\n fetchFunc: this.fetch,\n onProgress: this.onProgress\n });\n return [weightSpecs, concatenateArrayBuffers(buffers)];\n }\n}\nHTTPRequest.URL_SCHEME_REGEX = /^https?:\\/\\//;\n/**\n * Extract the prefix and suffix of the url, where the prefix is the path before\n * the last file, and suffix is the search params after the last file.\n * ```\n * const url = 'http://tfhub.dev/model/1/tensorflowjs_model.pb?tfjs-format=file'\n * [prefix, suffix] = parseUrl(url)\n * // prefix = 'http://tfhub.dev/model/1/'\n * // suffix = '?tfjs-format=file'\n * ```\n * @param url the model url to be parsed.\n */\nexport function parseUrl(url) {\n const lastSlash = url.lastIndexOf('/');\n const lastSearchParam = url.lastIndexOf('?');\n const prefix = url.substring(0, lastSlash);\n const suffix = lastSearchParam > lastSlash ? url.substring(lastSearchParam) : '';\n return [prefix + '/', suffix];\n}\nexport function isHTTPScheme(url) {\n return url.match(HTTPRequest.URL_SCHEME_REGEX) != null;\n}\nexport const httpRouter = (url, loadOptions) => {\n if (typeof fetch === 'undefined' &&\n (loadOptions == null || loadOptions.fetchFunc == null)) {\n // `http` uses `fetch` or `node-fetch`, if one wants to use it in\n // an environment that is not the browser or node they have to setup a\n // global fetch polyfill.\n return null;\n }\n else {\n let isHTTP = true;\n if (Array.isArray(url)) {\n isHTTP = url.every(urlItem => isHTTPScheme(urlItem));\n }\n else {\n isHTTP = isHTTPScheme(url);\n }\n if (isHTTP) {\n return http(url, loadOptions);\n }\n }\n return null;\n};\nIORouterRegistry.registerSaveRouter(httpRouter);\nIORouterRegistry.registerLoadRouter(httpRouter);\n/**\n * Creates an IOHandler subtype that sends model artifacts to HTTP server.\n *\n * An HTTP request of the `multipart/form-data` mime type will be sent to the\n * `path` URL. The form data includes artifacts that represent the topology\n * and/or weights of the model. In the case of Keras-style `tf.Model`, two\n * blobs (files) exist in form-data:\n * - A JSON file consisting of `modelTopology` and `weightsManifest`.\n * - A binary weights file consisting of the concatenated weight values.\n * These files are in the same format as the one generated by\n * [tfjs_converter](https://js.tensorflow.org/tutorials/import-keras.html).\n *\n * The following code snippet exemplifies the client-side code that uses this\n * function:\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n * tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save(tf.io.http(\n * 'http://model-server:5000/upload', {requestInit: {method: 'PUT'}}));\n * console.log(saveResult);\n * ```\n *\n * If the default `POST` method is to be used, without any custom parameters\n * such as headers, you can simply pass an HTTP or HTTPS URL to `model.save`:\n *\n * ```js\n * const saveResult = await model.save('http://model-server:5000/upload');\n * ```\n *\n * The following GitHub Gist\n * https://gist.github.com/dsmilkov/1b6046fd6132d7408d5257b0976f7864\n * implements a server based on [flask](https://github.com/pallets/flask) that\n * can receive the request. Upon receiving the model artifacts via the requst,\n * this particular server reconsistutes instances of [Keras\n * Models](https://keras.io/models/model/) in memory.\n *\n *\n * @param path A URL path to the model.\n * Can be an absolute HTTP path (e.g.,\n * 'http://localhost:8000/model-upload)') or a relative path (e.g.,\n * './model-upload').\n * @param requestInit Request configurations to be used when sending\n * HTTP request to server using `fetch`. It can contain fields such as\n * `method`, `credentials`, `headers`, `mode`, etc. See\n * https://developer.mozilla.org/en-US/docs/Web/API/Request/Request\n * for more information. `requestInit` must not have a body, because the\n * body will be set by TensorFlow.js. File blobs representing the model\n * topology (filename: 'model.json') and the weights of the model (filename:\n * 'model.weights.bin') will be appended to the body. If `requestInit` has a\n * `body`, an Error will be thrown.\n * @param loadOptions Optional configuration for the loading. It includes the\n * following fields:\n * - weightPathPrefix Optional, this specifies the path prefix for weight\n * files, by default this is calculated from the path param.\n * - fetchFunc Optional, custom `fetch` function. E.g., in Node.js,\n * the `fetch` from node-fetch can be used here.\n * - onProgress Optional, progress callback function, fired periodically\n * before the load is completed.\n * @returns An instance of `IOHandler`.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Loading',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nexport function http(path, loadOptions) {\n return new HTTPRequest(path, loadOptions);\n}\n/**\n * Deprecated. Use `tf.io.http`.\n * @param path\n * @param loadOptions\n */\nexport function browserHTTPRequest(path, loadOptions) {\n return http(path, loadOptions);\n}\n//# sourceMappingURL=http.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nclass PassthroughLoader {\n constructor(modelArtifacts) {\n this.modelArtifacts = modelArtifacts;\n }\n async load() {\n return this.modelArtifacts;\n }\n}\nclass PassthroughSaver {\n constructor(saveHandler) {\n this.saveHandler = saveHandler;\n }\n async save(modelArtifacts) {\n return this.saveHandler(modelArtifacts);\n }\n}\n/**\n * Creates an IOHandler that loads model artifacts from memory.\n *\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * const model = await tf.loadLayersModel(tf.io.fromMemory(\n * modelTopology, weightSpecs, weightData));\n * ```\n *\n * @param modelArtifacts a object containing model topology (i.e., parsed from\n * the JSON format).\n * @param weightSpecs An array of `WeightsManifestEntry` objects describing the\n * names, shapes, types, and quantization of the weight data.\n * @param weightData A single `ArrayBuffer` containing the weight data,\n * concatenated in the order described by the weightSpecs.\n * @param trainingConfig Model training configuration. Optional.\n *\n * @returns A passthrough `IOHandler` that simply loads the provided data.\n */\nexport function fromMemory(modelArtifacts, weightSpecs, weightData, trainingConfig) {\n if (arguments.length === 1) {\n const isModelArtifacts = modelArtifacts.modelTopology != null ||\n modelArtifacts.weightSpecs != null;\n if (isModelArtifacts) {\n return new PassthroughLoader(modelArtifacts);\n }\n else {\n // Legacy support: with only modelTopology.\n // TODO(cais): Remove this deprecated API.\n console.warn('Please call tf.io.fromMemory() with only one argument. ' +\n 'The argument should be of type ModelArtifacts. ' +\n 'The multi-argument signature of tf.io.fromMemory() has been ' +\n 'deprecated and will be removed in a future release.');\n return new PassthroughLoader({ modelTopology: modelArtifacts });\n }\n }\n else {\n // Legacy support.\n // TODO(cais): Remove this deprecated API.\n console.warn('Please call tf.io.fromMemory() with only one argument. ' +\n 'The argument should be of type ModelArtifacts. ' +\n 'The multi-argument signature of tf.io.fromMemory() has been ' +\n 'deprecated and will be removed in a future release.');\n return new PassthroughLoader({\n modelTopology: modelArtifacts,\n weightSpecs,\n weightData,\n trainingConfig\n });\n }\n}\n/**\n * Creates an IOHandler that passes saved model artifacts to a callback.\n *\n * ```js\n * function handleSave(artifacts) {\n * // ... do something with the artifacts ...\n * return {modelArtifactsInfo: {...}, ...};\n * }\n *\n * const saveResult = model.save(tf.io.withSaveHandler(handleSave));\n * ```\n *\n * @param saveHandler A function that accepts a `ModelArtifacts` and returns a\n * `SaveResult`.\n */\nexport function withSaveHandler(saveHandler) {\n return new PassthroughSaver(saveHandler);\n}\n//# sourceMappingURL=passthrough.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { BatchMatMul } from '../kernel_names';\nimport { makeTypesMatch } from '../tensor_util';\nimport { convertToTensor } from '../tensor_util_env';\nimport { op } from './operation';\n/**\n * Computes the dot product of two matrices, A * B. These must be matrices.\n *\n * ```js\n * const a = tf.tensor2d([1, 2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.matMul(b).print(); // or tf.matMul(a, b)\n * ```\n * @param a First matrix in dot product operation.\n * @param b Second matrix in dot product operation.\n * @param transposeA If true, `a` is transposed before multiplication.\n * @param transposeB If true, `b` is transposed before multiplication.\n *\n * @doc {heading: 'Operations', subheading: 'Matrices'}\n */\nfunction matMul_(a, b, transposeA = false, transposeB = false) {\n let $a = convertToTensor(a, 'a', 'matMul');\n let $b = convertToTensor(b, 'b', 'matMul');\n [$a, $b] = makeTypesMatch($a, $b);\n const inputs = { a: $a, b: $b };\n const attrs = { transposeA, transposeB };\n return ENGINE.runKernel(BatchMatMul, inputs, attrs);\n}\nexport const matMul = op({ matMul_ });\n//# sourceMappingURL=mat_mul.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { OneHot } from '../kernel_names';\nimport { convertToTensor } from '../tensor_util_env';\nimport { op } from './operation';\n/**\n * Creates a one-hot `tf.Tensor`. The locations represented by `indices` take\n * value `onValue` (defaults to 1), while all other locations take value\n * `offValue` (defaults to 0). If `indices` is rank `R`, the output has rank\n * `R+1` with the last axis of size `depth`.\n *\n * ```js\n * tf.oneHot(tf.tensor1d([0, 1], 'int32'), 3).print();\n * ```\n *\n * @param indices `tf.Tensor` of indices with dtype `int32`.\n * @param depth The depth of the one hot dimension.\n * @param onValue A number used to fill in the output when the index matches\n * the location.\n * @param offValue A number used to fill in the output when the index does\n * not match the location.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nfunction oneHot_(indices, depth, onValue = 1, offValue = 0) {\n if (depth < 2) {\n throw new Error(`Error in oneHot: depth must be >=2, but it is ${depth}`);\n }\n const $indices = convertToTensor(indices, 'indices', 'oneHot', 'int32');\n const inputs = { indices: $indices };\n const attrs = { depth, onValue, offValue };\n return ENGINE.runKernel(OneHot, inputs, attrs);\n}\nexport const oneHot = op({ oneHot_ });\n//# sourceMappingURL=one_hot.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { Transpose } from '../kernel_names';\nimport { convertToTensor } from '../tensor_util_env';\nimport * as util from '../util';\nimport { op } from './operation';\n/**\n * Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`.\n *\n * The returned `tf.Tensor`'s dimension `i` will correspond to the input\n * dimension `perm[i]`. If `perm` is not given, it is set to `[n-1...0]`,\n * where `n` is the rank of the input `tf.Tensor`. Hence by default, this\n * operation performs a regular matrix transpose on 2-D input `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n *\n * a.transpose().print(); // or tf.transpose(a)\n * ```\n *\n * @param x The tensor to transpose.\n * @param perm The permutation of the dimensions of a.\n *\n * @doc {heading: 'Operations', subheading: 'Matrices'}\n */\nfunction transpose_(x, perm) {\n const $x = convertToTensor(x, 'x', 'transpose');\n if (perm == null) {\n perm = $x.shape.map((s, i) => i).reverse();\n }\n util.assert($x.rank === perm.length, () => `Error in transpose: rank of input ${$x.rank} ` +\n `must match length of perm ${perm}.`);\n perm.forEach(axis => {\n util.assert(axis >= 0 && axis < $x.rank, () => `All entries in 'perm' must be between 0 and ${$x.rank - 1}` +\n ` but got ${perm}`);\n });\n if ($x.rank <= 1) {\n return $x.clone();\n }\n const inputs = { x: $x };\n const attrs = { perm };\n return ENGINE.runKernel(Transpose, inputs, attrs);\n}\nexport const transpose = op({ transpose_ });\n//# sourceMappingURL=transpose.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { convertToTensor } from '../tensor_util_env';\nimport * as util from '../util';\nimport { cast } from './cast';\nimport { matMul } from './mat_mul';\nimport { oneHot } from './one_hot';\nimport { op } from './operation';\nimport { transpose } from './transpose';\n/**\n * Computes the confusion matrix from true labels and predicted labels.\n *\n * ```js\n * const labels = tf.tensor1d([0, 1, 2, 1, 0], 'int32');\n * const predictions = tf.tensor1d([0, 2, 2, 1, 0], 'int32');\n * const numClasses = 3;\n * const out = tf.math.confusionMatrix(labels, predictions, numClasses);\n * out.print();\n * // Expected output matrix:\n * // [[2, 0, 0],\n * // [0, 1, 1],\n * // [0, 0, 1]]\n * ```\n *\n * @param labels The target labels, assumed to be 0-based integers\n * for the classes. The shape is `[numExamples]`, where\n * `numExamples` is the number of examples included.\n * @param predictions The predicted classes, assumed to be\n * 0-based integers for the classes. Must have the same shape as `labels`.\n * @param numClasses Number of all classes, as an integer.\n * Its value must be larger than the largest element in `labels` and\n * `predictions`.\n * @returns The confusion matrix as a int32-type 2D tensor. The value at\n * row `r` and column `c` is the number of times examples of actual class\n * `r` were predicted as class `c`.\n *\n * @doc {heading: 'Operations', subheading: 'Evaluation'}\n */\nexport function confusionMatrix_(labels, predictions, numClasses) {\n const $labels = convertToTensor(labels, 'labels', 'confusionMatrix');\n const $predictions = convertToTensor(predictions, 'predictions', 'confusionMatrix');\n util.assert(numClasses == null || numClasses > 0 && Number.isInteger(numClasses), () => `If provided, numClasses must be a positive integer, ` +\n `but got ${numClasses}`);\n util.assert($labels.rank === 1, () => `Expected the rank of labels to be 1, but got ${$labels.rank}`);\n util.assert($predictions.rank === 1, () => `Expected the rank of predictions to be 1, ` +\n `but got ${$predictions.rank}`);\n util.assert($labels.shape[0] === $predictions.shape[0], () => `Mismatch in the number of examples: ` +\n `${$labels.shape[0]} vs. ${$predictions.shape[0]}. ` +\n `Labels and predictions should have the same number of elements.`);\n util.assert(numClasses > 0 && Number.isInteger(numClasses), () => `numClasses is required to be a positive integer, but got ` +\n `${numClasses}`);\n // TODO(cais): In the future, if oneHot supports tensors inputs for\n // `numClasses`, `confusionMatrix` can make `numClasses` optional.\n const oneHotLabels = oneHot(cast($labels, 'int32'), numClasses);\n const oneHotPredictions = oneHot(cast($predictions, 'int32'), numClasses);\n const oneHotLabelsT = transpose(oneHotLabels);\n const product = matMul(oneHotLabelsT, oneHotPredictions);\n return cast(product, 'int32');\n}\nexport const confusionMatrix = op({ confusionMatrix_ });\n//# sourceMappingURL=confusion_matrix.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { inferShape } from '../tensor_util_env';\nimport { assertNonNull } from '../util';\nimport { makeTensor } from './tensor_ops_util';\n/**\n * Creates rank-3 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor3d` as it makes the code more readable.\n *\n * ```js\n * // Pass a nested array.\n * tf.tensor3d([[[1], [2]], [[3], [4]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor3d([1, 2, 3, 4], [2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n * or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided, it is inferred from\n * `values`.\n * @param dtype The data type.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nexport function tensor3d(values, shape, dtype) {\n assertNonNull(values);\n if (shape != null && shape.length !== 3) {\n throw new Error('tensor3d() requires shape to have three numbers');\n }\n const inferredShape = inferShape(values, dtype);\n if (inferredShape.length !== 3 && inferredShape.length !== 1) {\n throw new Error('tensor3d() requires values to be number[][][] or flat/TypedArray');\n }\n if (inferredShape.length === 1 && shape == null) {\n throw new Error('tensor3d() requires shape to be provided when `values` ' +\n 'are a flat array');\n }\n return makeTensor(values, shape, inferredShape, dtype);\n}\n//# sourceMappingURL=tensor3d.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { env } from '../environment';\nimport { FromPixels } from '../kernel_names';\nimport { getKernel } from '../kernel_registry';\nimport { Tensor } from '../tensor';\nimport { convertToTensor } from '../tensor_util_env';\nimport { cast } from './cast';\nimport { op } from './operation';\nimport { tensor3d } from './tensor3d';\nlet fromPixels2DContext;\n/**\n * Creates a `tf.Tensor` from an image.\n *\n * ```js\n * const image = new ImageData(1, 1);\n * image.data[0] = 100;\n * image.data[1] = 150;\n * image.data[2] = 200;\n * image.data[3] = 255;\n *\n * tf.browser.fromPixels(image).print();\n * ```\n *\n * @param pixels The input image to construct the tensor from. The\n * supported image types are all 4-channel. You can also pass in an image\n * object with following attributes:\n * `{data: Uint8Array; width: number; height: number}`\n * @param numChannels The number of channels of the output tensor. A\n * numChannels value less than 4 allows you to ignore channels. Defaults to\n * 3 (ignores alpha channel of input image).\n *\n * @returns A Tensor3D with the shape `[height, width, numChannels]`.\n *\n * @doc {heading: 'Browser', namespace: 'browser', ignoreCI: true}\n */\nfunction fromPixels_(pixels, numChannels = 3) {\n // Sanity checks.\n if (numChannels > 4) {\n throw new Error('Cannot construct Tensor with more than 4 channels from pixels.');\n }\n if (pixels == null) {\n throw new Error('pixels passed to tf.browser.fromPixels() can not be null');\n }\n let isPixelData = false;\n let isImageData = false;\n let isVideo = false;\n let isImage = false;\n let isCanvasLike = false;\n let isImageBitmap = false;\n if (pixels.data instanceof Uint8Array) {\n isPixelData = true;\n }\n else if (typeof (ImageData) !== 'undefined' && pixels instanceof ImageData) {\n isImageData = true;\n }\n else if (typeof (HTMLVideoElement) !== 'undefined' &&\n pixels instanceof HTMLVideoElement) {\n isVideo = true;\n }\n else if (typeof (HTMLImageElement) !== 'undefined' &&\n pixels instanceof HTMLImageElement) {\n isImage = true;\n // tslint:disable-next-line: no-any\n }\n else if (pixels.getContext != null) {\n isCanvasLike = true;\n }\n else if (typeof (ImageBitmap) !== 'undefined' && pixels instanceof ImageBitmap) {\n isImageBitmap = true;\n }\n else {\n throw new Error('pixels passed to tf.browser.fromPixels() must be either an ' +\n `HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData ` +\n `in browser, or OffscreenCanvas, ImageData in webworker` +\n ` or {data: Uint32Array, width: number, height: number}, ` +\n `but was ${pixels.constructor.name}`);\n }\n if (isVideo) {\n const HAVE_CURRENT_DATA_READY_STATE = 2;\n if (isVideo &&\n pixels.readyState <\n HAVE_CURRENT_DATA_READY_STATE) {\n throw new Error('The video element has not loaded data yet. Please wait for ' +\n '`loadeddata` event on the ': break;\n\t\t\tcase '': pass = false; break;\n\t\t\tdefault:\n\t\t\t\tif(y[0].charCodeAt(1) !== 47 && !pass) throw new Error('Unrecognized rich format ' + y[0]);\n\t\t}\n\t}\n\treturn font;\n}\n\nvar parse_rs = (function() {\n\tvar tregex = matchtag(\"t\"), rpregex = matchtag(\"rPr\");\n\t/* 18.4.4 r CT_RElt */\n\tfunction parse_r(r) {\n\t\t/* 18.4.12 t ST_Xstring */\n\t\tvar t = r.match(tregex)/*, cp = 65001*/;\n\t\tif(!t) return {t:\"s\", v:\"\"};\n\n\t\tvar o = ({t:'s', v:unescapexml(t[1])});\n\t\tvar rpr = r.match(rpregex);\n\t\tif(rpr) o.s = parse_rpr(rpr[1]);\n\t\treturn o;\n\t}\n\tvar rregex = /<(?:\\w+:)?r>/g, rend = /<\\/(?:\\w+:)?r>/;\n\treturn function parse_rs(rs) {\n\t\treturn rs.replace(rregex,\"\").split(rend).map(parse_r).filter(function(r) { return r.v; });\n\t};\n})();\n\n\n/* Parse a list of tags */\nvar rs_to_html = (function parse_rs_factory() {\n\tvar nlregex = /(\\r\\n|\\n)/g;\n\tfunction parse_rpr2(font, intro, outro) {\n\t\tvar style = [];\n\n\t\tif(font.u) style.push(\"text-decoration: underline;\");\n\t\tif(font.uval) style.push(\"text-underline-style:\" + font.uval + \";\");\n\t\tif(font.sz) style.push(\"font-size:\" + font.sz + \"pt;\");\n\t\tif(font.outline) style.push(\"text-effect: outline;\");\n\t\tif(font.shadow) style.push(\"text-shadow: auto;\");\n\t\tintro.push('');\n\n\t\tif(font.b) { intro.push(\"\"); outro.push(\"\"); }\n\t\tif(font.i) { intro.push(\"\"); outro.push(\"\"); }\n\t\tif(font.strike) { intro.push(\"\"); outro.push(\"\"); }\n\n\t\tvar align = font.valign || \"\";\n\t\tif(align == \"superscript\" || align == \"super\") align = \"sup\";\n\t\telse if(align == \"subscript\") align = \"sub\";\n\t\tif(align != \"\") { intro.push(\"<\" + align + \">\"); outro.push(\"\"); }\n\n\t\toutro.push(\"\");\n\t\treturn font;\n\t}\n\n\t/* 18.4.4 r CT_RElt */\n\tfunction r_to_html(r) {\n\t\tvar terms = [[],r.v,[]];\n\t\tif(!r.v) return \"\";\n\n\t\tif(r.s) parse_rpr2(r.s, terms[0], terms[2]);\n\n\t\treturn terms[0].join(\"\") + terms[1].replace(nlregex,'
') + terms[2].join(\"\");\n\t}\n\n\treturn function parse_rs(rs) {\n\t\treturn rs.map(r_to_html).join(\"\");\n\t};\n})();\n\n/* 18.4.8 si CT_Rst */\nvar sitregex = /<(?:\\w+:)?t[^>]*>([^<]*)<\\/(?:\\w+:)?t>/g, sirregex = /<(?:\\w+:)?r>/;\nvar sirphregex = /<(?:\\w+:)?rPh.*?>([\\s\\S]*?)<\\/(?:\\w+:)?rPh>/g;\nfunction parse_si(x, opts) {\n\tvar html = opts ? opts.cellHTML : true;\n\tvar z = {};\n\tif(!x) return { t: \"\" };\n\t//var y;\n\t/* 18.4.12 t ST_Xstring (Plaintext String) */\n\t// TODO: is whitespace actually valid here?\n\tif(x.match(/^\\s*<(?:\\w+:)?t[^>]*>/)) {\n\t\tz.t = unescapexml(utf8read(x.slice(x.indexOf(\">\")+1).split(/<\\/(?:\\w+:)?t>/)[0]||\"\"));\n\t\tz.r = utf8read(x);\n\t\tif(html) z.h = escapehtml(z.t);\n\t}\n\t/* 18.4.4 r CT_RElt (Rich Text Run) */\n\telse if((/*y = */x.match(sirregex))) {\n\t\tz.r = utf8read(x);\n\t\tz.t = unescapexml(utf8read((x.replace(sirphregex, '').match(sitregex)||[]).join(\"\").replace(tagregex,\"\")));\n\t\tif(html) z.h = rs_to_html(parse_rs(z.r));\n\t}\n\t/* 18.4.3 phoneticPr CT_PhoneticPr (TODO: needed for Asian support) */\n\t/* 18.4.6 rPh CT_PhoneticRun (TODO: needed for Asian support) */\n\treturn z;\n}\n\n/* 18.4 Shared String Table */\nvar sstr0 = /<(?:\\w+:)?sst([^>]*)>([\\s\\S]*)<\\/(?:\\w+:)?sst>/;\nvar sstr1 = /<(?:\\w+:)?(?:si|sstItem)>/g;\nvar sstr2 = /<\\/(?:\\w+:)?(?:si|sstItem)>/;\nfunction parse_sst_xml(data, opts) {\n\tvar s = ([]), ss = \"\";\n\tif(!data) return s;\n\t/* 18.4.9 sst CT_Sst */\n\tvar sst = data.match(sstr0);\n\tif(sst) {\n\t\tss = sst[2].replace(sstr1,\"\").split(sstr2);\n\t\tfor(var i = 0; i != ss.length; ++i) {\n\t\t\tvar o = parse_si(ss[i].trim(), opts);\n\t\t\tif(o != null) s[s.length] = o;\n\t\t}\n\t\tsst = parsexmltag(sst[1]); s.Count = sst.count; s.Unique = sst.uniqueCount;\n\t}\n\treturn s;\n}\n\nRELS.SST = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/sharedStrings\";\nvar straywsregex = /^\\s|\\s$|[\\t\\n\\r]/;\nfunction write_sst_xml(sst, opts) {\n\tif(!opts.bookSST) return \"\";\n\tvar o = [XML_HEADER];\n\to[o.length] = (writextag('sst', null, {\n\t\txmlns: XMLNS.main[0],\n\t\tcount: sst.Count,\n\t\tuniqueCount: sst.Unique\n\t}));\n\tfor(var i = 0; i != sst.length; ++i) { if(sst[i] == null) continue;\n\t\tvar s = sst[i];\n\t\tvar sitag = \"\";\n\t\tif(s.r) sitag += s.r;\n\t\telse {\n\t\t\tsitag += \"\" + escapexml(s.t) + \"\";\n\t\t}\n\t\tsitag += \"\";\n\t\to[o.length] = (sitag);\n\t}\n\tif(o.length>2){ o[o.length] = (''); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.221 BrtBeginSst */\nfunction parse_BrtBeginSst(data) {\n\treturn [data.read_shift(4), data.read_shift(4)];\n}\n\n/* [MS-XLSB] 2.1.7.45 Shared Strings */\nfunction parse_sst_bin(data, opts) {\n\tvar s = ([]);\n\tvar pass = false;\n\trecordhopper(data, function hopper_sst(val, R_n, RT) {\n\t\tswitch(RT) {\n\t\t\tcase 0x009F: /* 'BrtBeginSst' */\n\t\t\t\ts.Count = val[0]; s.Unique = val[1]; break;\n\t\t\tcase 0x0013: /* 'BrtSSTItem' */\n\t\t\t\ts.push(val); break;\n\t\t\tcase 0x00A0: /* 'BrtEndSst' */\n\t\t\t\treturn true;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\n\t\t\tdefault:\n\t\t\t\tif(R_n.indexOf(\"Begin\") > 0){/* empty */}\n\t\t\t\telse if(R_n.indexOf(\"End\") > 0){/* empty */}\n\t\t\t\tif(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t});\n\treturn s;\n}\n\nfunction write_BrtBeginSst(sst, o) {\n\tif(!o) o = new_buf(8);\n\to.write_shift(4, sst.Count);\n\to.write_shift(4, sst.Unique);\n\treturn o;\n}\n\nvar write_BrtSSTItem = write_RichStr;\n\nfunction write_sst_bin(sst) {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginSst\", write_BrtBeginSst(sst));\n\tfor(var i = 0; i < sst.length; ++i) write_record(ba, \"BrtSSTItem\", write_BrtSSTItem(sst[i]));\n\t/* FRTSST */\n\twrite_record(ba, \"BrtEndSst\");\n\treturn ba.end();\n}\nfunction _JS2ANSI(str) {\n\tif(typeof cptable !== 'undefined') return cptable.utils.encode(current_ansi, str);\n\tvar o = [], oo = str.split(\"\");\n\tfor(var i = 0; i < oo.length; ++i) o[i] = oo[i].charCodeAt(0);\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.4 Version */\nfunction parse_CRYPTOVersion(blob, length) {\n\tvar o = {};\n\to.Major = blob.read_shift(2);\n\to.Minor = blob.read_shift(2);\nif(length >= 4) blob.l += length - 4;\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.5 DataSpaceVersionInfo */\nfunction parse_DataSpaceVersionInfo(blob) {\n\tvar o = {};\n\to.id = blob.read_shift(0, 'lpp4');\n\to.R = parse_CRYPTOVersion(blob, 4);\n\to.U = parse_CRYPTOVersion(blob, 4);\n\to.W = parse_CRYPTOVersion(blob, 4);\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.6.1 DataSpaceMapEntry Structure */\nfunction parse_DataSpaceMapEntry(blob) {\n\tvar len = blob.read_shift(4);\n\tvar end = blob.l + len - 4;\n\tvar o = {};\n\tvar cnt = blob.read_shift(4);\n\tvar comps = [];\n\t/* [MS-OFFCRYPTO] 2.1.6.2 DataSpaceReferenceComponent Structure */\n\twhile(cnt-- > 0) comps.push({ t: blob.read_shift(4), v: blob.read_shift(0, 'lpp4') });\n\to.name = blob.read_shift(0, 'lpp4');\n\to.comps = comps;\n\tif(blob.l != end) throw new Error(\"Bad DataSpaceMapEntry: \" + blob.l + \" != \" + end);\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.6 DataSpaceMap */\nfunction parse_DataSpaceMap(blob) {\n\tvar o = [];\n\tblob.l += 4; // must be 0x8\n\tvar cnt = blob.read_shift(4);\n\twhile(cnt-- > 0) o.push(parse_DataSpaceMapEntry(blob));\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.7 DataSpaceDefinition */\nfunction parse_DataSpaceDefinition(blob) {\n\tvar o = [];\n\tblob.l += 4; // must be 0x8\n\tvar cnt = blob.read_shift(4);\n\twhile(cnt-- > 0) o.push(blob.read_shift(0, 'lpp4'));\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.8 DataSpaceDefinition */\nfunction parse_TransformInfoHeader(blob) {\n\tvar o = {};\n\t/*var len = */blob.read_shift(4);\n\tblob.l += 4; // must be 0x1\n\to.id = blob.read_shift(0, 'lpp4');\n\to.name = blob.read_shift(0, 'lpp4');\n\to.R = parse_CRYPTOVersion(blob, 4);\n\to.U = parse_CRYPTOVersion(blob, 4);\n\to.W = parse_CRYPTOVersion(blob, 4);\n\treturn o;\n}\n\nfunction parse_Primary(blob) {\n\t/* [MS-OFFCRYPTO] 2.2.6 IRMDSTransformInfo */\n\tvar hdr = parse_TransformInfoHeader(blob);\n\t/* [MS-OFFCRYPTO] 2.1.9 EncryptionTransformInfo */\n\thdr.ename = blob.read_shift(0, '8lpp4');\n\thdr.blksz = blob.read_shift(4);\n\thdr.cmode = blob.read_shift(4);\n\tif(blob.read_shift(4) != 0x04) throw new Error(\"Bad !Primary record\");\n\treturn hdr;\n}\n\n/* [MS-OFFCRYPTO] 2.3.2 Encryption Header */\nfunction parse_EncryptionHeader(blob, length) {\n\tvar tgt = blob.l + length;\n\tvar o = {};\n\to.Flags = (blob.read_shift(4) & 0x3F);\n\tblob.l += 4;\n\to.AlgID = blob.read_shift(4);\n\tvar valid = false;\n\tswitch(o.AlgID) {\n\t\tcase 0x660E: case 0x660F: case 0x6610: valid = (o.Flags == 0x24); break;\n\t\tcase 0x6801: valid = (o.Flags == 0x04); break;\n\t\tcase 0: valid = (o.Flags == 0x10 || o.Flags == 0x04 || o.Flags == 0x24); break;\n\t\tdefault: throw 'Unrecognized encryption algorithm: ' + o.AlgID;\n\t}\n\tif(!valid) throw new Error(\"Encryption Flags/AlgID mismatch\");\n\to.AlgIDHash = blob.read_shift(4);\n\to.KeySize = blob.read_shift(4);\n\to.ProviderType = blob.read_shift(4);\n\tblob.l += 8;\n\to.CSPName = blob.read_shift((tgt-blob.l)>>1, 'utf16le');\n\tblob.l = tgt;\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.3.3 Encryption Verifier */\nfunction parse_EncryptionVerifier(blob, length) {\n\tvar o = {}, tgt = blob.l + length;\n\tblob.l += 4; // SaltSize must be 0x10\n\to.Salt = blob.slice(blob.l, blob.l+16); blob.l += 16;\n\to.Verifier = blob.slice(blob.l, blob.l+16); blob.l += 16;\n\t/*var sz = */blob.read_shift(4);\n\to.VerifierHash = blob.slice(blob.l, tgt); blob.l = tgt;\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.3.4.* EncryptionInfo Stream */\nfunction parse_EncryptionInfo(blob) {\n\tvar vers = parse_CRYPTOVersion(blob);\n\tswitch(vers.Minor) {\n\t\tcase 0x02: return [vers.Minor, parse_EncInfoStd(blob, vers)];\n\t\tcase 0x03: return [vers.Minor, parse_EncInfoExt(blob, vers)];\n\t\tcase 0x04: return [vers.Minor, parse_EncInfoAgl(blob, vers)];\n\t}\n\tthrow new Error(\"ECMA-376 Encrypted file unrecognized Version: \" + vers.Minor);\n}\n\n/* [MS-OFFCRYPTO] 2.3.4.5 EncryptionInfo Stream (Standard Encryption) */\nfunction parse_EncInfoStd(blob) {\n\tvar flags = blob.read_shift(4);\n\tif((flags & 0x3F) != 0x24) throw new Error(\"EncryptionInfo mismatch\");\n\tvar sz = blob.read_shift(4);\n\t//var tgt = blob.l + sz;\n\tvar hdr = parse_EncryptionHeader(blob, sz);\n\tvar verifier = parse_EncryptionVerifier(blob, blob.length - blob.l);\n\treturn { t:\"Std\", h:hdr, v:verifier };\n}\n/* [MS-OFFCRYPTO] 2.3.4.6 EncryptionInfo Stream (Extensible Encryption) */\nfunction parse_EncInfoExt() { throw new Error(\"File is password-protected: ECMA-376 Extensible\"); }\n/* [MS-OFFCRYPTO] 2.3.4.10 EncryptionInfo Stream (Agile Encryption) */\nfunction parse_EncInfoAgl(blob) {\n\tvar KeyData = [\"saltSize\",\"blockSize\",\"keyBits\",\"hashSize\",\"cipherAlgorithm\",\"cipherChaining\",\"hashAlgorithm\",\"saltValue\"];\n\tblob.l+=4;\n\tvar xml = blob.read_shift(blob.length - blob.l, 'utf8');\n\tvar o = {};\n\txml.replace(tagregex, function xml_agile(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': break;\n\t\t\tcase '': case '': break;\n\n\t\t\tcase '': break;\n\t\t\tcase ' 4 || vers.Major < 2) throw new Error('unrecognized major version code: ' + vers.Major);\n\to.Flags = blob.read_shift(4); length -= 4;\n\tvar sz = blob.read_shift(4); length -= 4;\n\to.EncryptionHeader = parse_EncryptionHeader(blob, sz); length -= sz;\n\to.EncryptionVerifier = parse_EncryptionVerifier(blob, length);\n\treturn o;\n}\n/* [MS-OFFCRYPTO] 2.3.6.1 RC4 Encryption Header */\nfunction parse_RC4Header(blob) {\n\tvar o = {};\n\tvar vers = o.EncryptionVersionInfo = parse_CRYPTOVersion(blob, 4);\n\tif(vers.Major != 1 || vers.Minor != 1) throw 'unrecognized version code ' + vers.Major + ' : ' + vers.Minor;\n\to.Salt = blob.read_shift(16);\n\to.EncryptedVerifier = blob.read_shift(16);\n\to.EncryptedVerifierHash = blob.read_shift(16);\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.3.7.1 Binary Document Password Verifier Derivation */\nfunction crypto_CreatePasswordVerifier_Method1(Password) {\n\tvar Verifier = 0x0000, PasswordArray;\n\tvar PasswordDecoded = _JS2ANSI(Password);\n\tvar len = PasswordDecoded.length + 1, i, PasswordByte;\n\tvar Intermediate1, Intermediate2, Intermediate3;\n\tPasswordArray = new_raw_buf(len);\n\tPasswordArray[0] = PasswordDecoded.length;\n\tfor(i = 1; i != len; ++i) PasswordArray[i] = PasswordDecoded[i-1];\n\tfor(i = len-1; i >= 0; --i) {\n\t\tPasswordByte = PasswordArray[i];\n\t\tIntermediate1 = ((Verifier & 0x4000) === 0x0000) ? 0 : 1;\n\t\tIntermediate2 = (Verifier << 1) & 0x7FFF;\n\t\tIntermediate3 = Intermediate1 | Intermediate2;\n\t\tVerifier = Intermediate3 ^ PasswordByte;\n\t}\n\treturn Verifier ^ 0xCE4B;\n}\n\n/* [MS-OFFCRYPTO] 2.3.7.2 Binary Document XOR Array Initialization */\nvar crypto_CreateXorArray_Method1 = (function() {\n\tvar PadArray = [0xBB, 0xFF, 0xFF, 0xBA, 0xFF, 0xFF, 0xB9, 0x80, 0x00, 0xBE, 0x0F, 0x00, 0xBF, 0x0F, 0x00];\n\tvar InitialCode = [0xE1F0, 0x1D0F, 0xCC9C, 0x84C0, 0x110C, 0x0E10, 0xF1CE, 0x313E, 0x1872, 0xE139, 0xD40F, 0x84F9, 0x280C, 0xA96A, 0x4EC3];\n\tvar XorMatrix = [0xAEFC, 0x4DD9, 0x9BB2, 0x2745, 0x4E8A, 0x9D14, 0x2A09, 0x7B61, 0xF6C2, 0xFDA5, 0xEB6B, 0xC6F7, 0x9DCF, 0x2BBF, 0x4563, 0x8AC6, 0x05AD, 0x0B5A, 0x16B4, 0x2D68, 0x5AD0, 0x0375, 0x06EA, 0x0DD4, 0x1BA8, 0x3750, 0x6EA0, 0xDD40, 0xD849, 0xA0B3, 0x5147, 0xA28E, 0x553D, 0xAA7A, 0x44D5, 0x6F45, 0xDE8A, 0xAD35, 0x4A4B, 0x9496, 0x390D, 0x721A, 0xEB23, 0xC667, 0x9CEF, 0x29FF, 0x53FE, 0xA7FC, 0x5FD9, 0x47D3, 0x8FA6, 0x0F6D, 0x1EDA, 0x3DB4, 0x7B68, 0xF6D0, 0xB861, 0x60E3, 0xC1C6, 0x93AD, 0x377B, 0x6EF6, 0xDDEC, 0x45A0, 0x8B40, 0x06A1, 0x0D42, 0x1A84, 0x3508, 0x6A10, 0xAA51, 0x4483, 0x8906, 0x022D, 0x045A, 0x08B4, 0x1168, 0x76B4, 0xED68, 0xCAF1, 0x85C3, 0x1BA7, 0x374E, 0x6E9C, 0x3730, 0x6E60, 0xDCC0, 0xA9A1, 0x4363, 0x86C6, 0x1DAD, 0x3331, 0x6662, 0xCCC4, 0x89A9, 0x0373, 0x06E6, 0x0DCC, 0x1021, 0x2042, 0x4084, 0x8108, 0x1231, 0x2462, 0x48C4];\n\tvar Ror = function(Byte) { return ((Byte/2) | (Byte*128)) & 0xFF; };\n\tvar XorRor = function(byte1, byte2) { return Ror(byte1 ^ byte2); };\n\tvar CreateXorKey_Method1 = function(Password) {\n\t\tvar XorKey = InitialCode[Password.length - 1];\n\t\tvar CurrentElement = 0x68;\n\t\tfor(var i = Password.length-1; i >= 0; --i) {\n\t\t\tvar Char = Password[i];\n\t\t\tfor(var j = 0; j != 7; ++j) {\n\t\t\t\tif(Char & 0x40) XorKey ^= XorMatrix[CurrentElement];\n\t\t\t\tChar *= 2; --CurrentElement;\n\t\t\t}\n\t\t}\n\t\treturn XorKey;\n\t};\n\treturn function(password) {\n\t\tvar Password = _JS2ANSI(password);\n\t\tvar XorKey = CreateXorKey_Method1(Password);\n\t\tvar Index = Password.length;\n\t\tvar ObfuscationArray = new_raw_buf(16);\n\t\tfor(var i = 0; i != 16; ++i) ObfuscationArray[i] = 0x00;\n\t\tvar Temp, PasswordLastChar, PadIndex;\n\t\tif((Index & 1) === 1) {\n\t\t\tTemp = XorKey >> 8;\n\t\t\tObfuscationArray[Index] = XorRor(PadArray[0], Temp);\n\t\t\t--Index;\n\t\t\tTemp = XorKey & 0xFF;\n\t\t\tPasswordLastChar = Password[Password.length - 1];\n\t\t\tObfuscationArray[Index] = XorRor(PasswordLastChar, Temp);\n\t\t}\n\t\twhile(Index > 0) {\n\t\t\t--Index;\n\t\t\tTemp = XorKey >> 8;\n\t\t\tObfuscationArray[Index] = XorRor(Password[Index], Temp);\n\t\t\t--Index;\n\t\t\tTemp = XorKey & 0xFF;\n\t\t\tObfuscationArray[Index] = XorRor(Password[Index], Temp);\n\t\t}\n\t\tIndex = 15;\n\t\tPadIndex = 15 - Password.length;\n\t\twhile(PadIndex > 0) {\n\t\t\tTemp = XorKey >> 8;\n\t\t\tObfuscationArray[Index] = XorRor(PadArray[PadIndex], Temp);\n\t\t\t--Index;\n\t\t\t--PadIndex;\n\t\t\tTemp = XorKey & 0xFF;\n\t\t\tObfuscationArray[Index] = XorRor(Password[Index], Temp);\n\t\t\t--Index;\n\t\t\t--PadIndex;\n\t\t}\n\t\treturn ObfuscationArray;\n\t};\n})();\n\n/* [MS-OFFCRYPTO] 2.3.7.3 Binary Document XOR Data Transformation Method 1 */\nvar crypto_DecryptData_Method1 = function(password, Data, XorArrayIndex, XorArray, O) {\n\t/* If XorArray is set, use it; if O is not set, make changes in-place */\n\tif(!O) O = Data;\n\tif(!XorArray) XorArray = crypto_CreateXorArray_Method1(password);\n\tvar Index, Value;\n\tfor(Index = 0; Index != Data.length; ++Index) {\n\t\tValue = Data[Index];\n\t\tValue ^= XorArray[XorArrayIndex];\n\t\tValue = ((Value>>5) | (Value<<3)) & 0xFF;\n\t\tO[Index] = Value;\n\t\t++XorArrayIndex;\n\t}\n\treturn [O, XorArrayIndex, XorArray];\n};\n\nvar crypto_MakeXorDecryptor = function(password) {\n\tvar XorArrayIndex = 0, XorArray = crypto_CreateXorArray_Method1(password);\n\treturn function(Data) {\n\t\tvar O = crypto_DecryptData_Method1(\"\", Data, XorArrayIndex, XorArray);\n\t\tXorArrayIndex = O[1];\n\t\treturn O[0];\n\t};\n};\n\n/* 2.5.343 */\nfunction parse_XORObfuscation(blob, length, opts, out) {\n\tvar o = ({ key: parseuint16(blob), verificationBytes: parseuint16(blob) });\n\tif(opts.password) o.verifier = crypto_CreatePasswordVerifier_Method1(opts.password);\n\tout.valid = o.verificationBytes === o.verifier;\n\tif(out.valid) out.insitu = crypto_MakeXorDecryptor(opts.password);\n\treturn o;\n}\n\n/* 2.4.117 */\nfunction parse_FilePassHeader(blob, length, oo) {\n\tvar o = oo || {}; o.Info = blob.read_shift(2); blob.l -= 2;\n\tif(o.Info === 1) o.Data = parse_RC4Header(blob, length);\n\telse o.Data = parse_RC4CryptoHeader(blob, length);\n\treturn o;\n}\nfunction parse_FilePass(blob, length, opts) {\n\tvar o = ({ Type: opts.biff >= 8 ? blob.read_shift(2) : 0 }); /* wEncryptionType */\n\tif(o.Type) parse_FilePassHeader(blob, length-2, o);\n\telse parse_XORObfuscation(blob, opts.biff >= 8 ? length : length - 2, opts, o);\n\treturn o;\n}\n\n\nvar RTF = (function() {\n\tfunction rtf_to_sheet(d, opts) {\n\t\tswitch(opts.type) {\n\t\t\tcase 'base64': return rtf_to_sheet_str(Base64.decode(d), opts);\n\t\t\tcase 'binary': return rtf_to_sheet_str(d, opts);\n\t\t\tcase 'buffer': return rtf_to_sheet_str(d.toString('binary'), opts);\n\t\t\tcase 'array': return rtf_to_sheet_str(cc2str(d), opts);\n\t\t}\n\t\tthrow new Error(\"Unrecognized type \" + opts.type);\n\t}\n\n\tfunction rtf_to_sheet_str(str, opts) {\n\t\tvar o = opts || {};\n\t\tvar ws = o.dense ? ([]) : ({});\n\t\tvar range = ({s: {c:0, r:0}, e: {c:0, r:0}});\n\n\t\t// TODO: parse\n\t\tif(!str.match(/\\\\trowd/)) throw new Error(\"RTF missing table\");\n\n\t\tws['!ref'] = encode_range(range);\n\t\treturn ws;\n\t}\n\n\tfunction rtf_to_workbook(d, opts) { return sheet_to_workbook(rtf_to_sheet(d, opts), opts); }\n\n\t/* TODO: this is a stub */\n\tfunction sheet_to_rtf(ws) {\n\t\tvar o = [\"{\\\\rtf1\\\\ansi\"];\n\t\tvar r = safe_decode_range(ws['!ref']), cell;\n\t\tvar dense = Array.isArray(ws);\n\t\tfor(var R = r.s.r; R <= r.e.r; ++R) {\n\t\t\to.push(\"\\\\trowd\\\\trautofit1\");\n\t\t\tfor(var C = r.s.c; C <= r.e.c; ++C) o.push(\"\\\\cellx\" + (C+1));\n\t\t\to.push(\"\\\\pard\\\\intbl\");\n\t\t\tfor(C = r.s.c; C <= r.e.c; ++C) {\n\t\t\t\tvar coord = encode_cell({r:R,c:C});\n\t\t\t\tcell = dense ? (ws[R]||[])[C]: ws[coord];\n\t\t\t\tif(!cell || cell.v == null && (!cell.f || cell.F)) continue;\n\t\t\t\to.push(\" \" + (cell.w || (format_cell(cell), cell.w)));\n\t\t\t\to.push(\"\\\\cell\");\n\t\t\t}\n\t\t\to.push(\"\\\\pard\\\\intbl\\\\row\");\n\t\t}\n\t\treturn o.join(\"\") + \"}\";\n\t}\n\n\treturn {\n\t\tto_workbook: rtf_to_workbook,\n\t\tto_sheet: rtf_to_sheet,\n\t\tfrom_sheet: sheet_to_rtf\n\t};\n})();\nfunction hex2RGB(h) {\n\tvar o = h.slice(h[0]===\"#\"?1:0).slice(0,6);\n\treturn [parseInt(o.slice(0,2),16),parseInt(o.slice(2,4),16),parseInt(o.slice(4,6),16)];\n}\nfunction rgb2Hex(rgb) {\n\tfor(var i=0,o=1; i!=3; ++i) o = o*256 + (rgb[i]>255?255:rgb[i]<0?0:rgb[i]);\n\treturn o.toString(16).toUpperCase().slice(1);\n}\n\nfunction rgb2HSL(rgb) {\n\tvar R = rgb[0]/255, G = rgb[1]/255, B=rgb[2]/255;\n\tvar M = Math.max(R, G, B), m = Math.min(R, G, B), C = M - m;\n\tif(C === 0) return [0, 0, R];\n\n\tvar H6 = 0, S = 0, L2 = (M + m);\n\tS = C / (L2 > 1 ? 2 - L2 : L2);\n\tswitch(M){\n\t\tcase R: H6 = ((G - B) / C + 6)%6; break;\n\t\tcase G: H6 = ((B - R) / C + 2); break;\n\t\tcase B: H6 = ((R - G) / C + 4); break;\n\t}\n\treturn [H6 / 6, S, L2 / 2];\n}\n\nfunction hsl2RGB(hsl){\n\tvar H = hsl[0], S = hsl[1], L = hsl[2];\n\tvar C = S * 2 * (L < 0.5 ? L : 1 - L), m = L - C/2;\n\tvar rgb = [m,m,m], h6 = 6*H;\n\n\tvar X;\n\tif(S !== 0) switch(h6|0) {\n\t\tcase 0: case 6: X = C * h6; rgb[0] += C; rgb[1] += X; break;\n\t\tcase 1: X = C * (2 - h6); rgb[0] += X; rgb[1] += C; break;\n\t\tcase 2: X = C * (h6 - 2); rgb[1] += C; rgb[2] += X; break;\n\t\tcase 3: X = C * (4 - h6); rgb[1] += X; rgb[2] += C; break;\n\t\tcase 4: X = C * (h6 - 4); rgb[2] += C; rgb[0] += X; break;\n\t\tcase 5: X = C * (6 - h6); rgb[2] += X; rgb[0] += C; break;\n\t}\n\tfor(var i = 0; i != 3; ++i) rgb[i] = Math.round(rgb[i]*255);\n\treturn rgb;\n}\n\n/* 18.8.3 bgColor tint algorithm */\nfunction rgb_tint(hex, tint) {\n\tif(tint === 0) return hex;\n\tvar hsl = rgb2HSL(hex2RGB(hex));\n\tif (tint < 0) hsl[2] = hsl[2] * (1 + tint);\n\telse hsl[2] = 1 - (1 - hsl[2]) * (1 - tint);\n\treturn rgb2Hex(hsl2RGB(hsl));\n}\n\n/* 18.3.1.13 width calculations */\n/* [MS-OI29500] 2.1.595 Column Width & Formatting */\nvar DEF_MDW = 6, MAX_MDW = 15, MIN_MDW = 1, MDW = DEF_MDW;\nfunction width2px(width) { return Math.floor(( width + (Math.round(128/MDW))/256 )* MDW ); }\nfunction px2char(px) { return (Math.floor((px - 5)/MDW * 100 + 0.5))/100; }\nfunction char2width(chr) { return (Math.round((chr * MDW + 5)/MDW*256))/256; }\n//function px2char_(px) { return (((px - 5)/MDW * 100 + 0.5))/100; }\n//function char2width_(chr) { return (((chr * MDW + 5)/MDW*256))/256; }\nfunction cycle_width(collw) { return char2width(px2char(width2px(collw))); }\n/* XLSX/XLSB/XLS specify width in units of MDW */\nfunction find_mdw_colw(collw) {\n\tvar delta = Math.abs(collw - cycle_width(collw)), _MDW = MDW;\n\tif(delta > 0.005) for(MDW=MIN_MDW; MDW 0.5) guess--;\n\t\tif(Math.abs(guess) < delta) { delta = Math.abs(guess); _MDW = MDW; }\n\t}\n\tMDW = _MDW;\n}*/\n\nfunction process_col(coll) {\n\tif(coll.width) {\n\t\tcoll.wpx = width2px(coll.width);\n\t\tcoll.wch = px2char(coll.wpx);\n\t\tcoll.MDW = MDW;\n\t} else if(coll.wpx) {\n\t\tcoll.wch = px2char(coll.wpx);\n\t\tcoll.width = char2width(coll.wch);\n\t\tcoll.MDW = MDW;\n\t} else if(typeof coll.wch == 'number') {\n\t\tcoll.width = char2width(coll.wch);\n\t\tcoll.wpx = width2px(coll.width);\n\t\tcoll.MDW = MDW;\n\t}\n\tif(coll.customWidth) delete coll.customWidth;\n}\n\nvar DEF_PPI = 96, PPI = DEF_PPI;\nfunction px2pt(px) { return px * 96 / PPI; }\nfunction pt2px(pt) { return pt * PPI / 96; }\n\n/* [MS-EXSPXML3] 2.4.54 ST_enmPattern */\nvar XLMLPatternTypeMap = {\n\t\"None\": \"none\",\n\t\"Solid\": \"solid\",\n\t\"Gray50\": \"mediumGray\",\n\t\"Gray75\": \"darkGray\",\n\t\"Gray25\": \"lightGray\",\n\t\"HorzStripe\": \"darkHorizontal\",\n\t\"VertStripe\": \"darkVertical\",\n\t\"ReverseDiagStripe\": \"darkDown\",\n\t\"DiagStripe\": \"darkUp\",\n\t\"DiagCross\": \"darkGrid\",\n\t\"ThickDiagCross\": \"darkTrellis\",\n\t\"ThinHorzStripe\": \"lightHorizontal\",\n\t\"ThinVertStripe\": \"lightVertical\",\n\t\"ThinReverseDiagStripe\": \"lightDown\",\n\t\"ThinHorzCross\": \"lightGrid\"\n};\n\n/* 18.8.5 borders CT_Borders */\nfunction parse_borders(t, styles, themes, opts) {\n\tstyles.Borders = [];\n\tvar border = {};\n\tvar pass = false;\n\t(t[0].match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.4 border CT_Border */\n\t\t\tcase '': case '':\n\t\t\t\tborder = {};\n\t\t\t\tif(y.diagonalUp) border.diagonalUp = parsexmlbool(y.diagonalUp);\n\t\t\t\tif(y.diagonalDown) border.diagonalDown = parsexmlbool(y.diagonalDown);\n\t\t\t\tstyles.Borders.push(border);\n\t\t\t\tbreak;\n\t\t\tcase '': break;\n\n\t\t\t/* note: not in spec, appears to be CT_BorderPr */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* note: not in spec, appears to be CT_BorderPr */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.43 top CT_BorderPr */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.6 bottom CT_BorderPr */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.13 diagonal CT_BorderPr */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.25 horizontal CT_BorderPr */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.44 vertical CT_BorderPr */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.37 start CT_BorderPr */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.16 end CT_BorderPr */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.? color CT_Color */\n\t\t\tcase '':\n\t\t\t\tbreak;\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.2.10 extLst CT_ExtensionList ? */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': pass = false; break;\n\t\t\tdefault: if(opts && opts.WTF) {\n\t\t\t\tif(!pass) throw new Error('unrecognized ' + y[0] + ' in borders');\n\t\t\t}\n\t\t}\n\t});\n}\n\n/* 18.8.21 fills CT_Fills */\nfunction parse_fills(t, styles, themes, opts) {\n\tstyles.Fills = [];\n\tvar fill = {};\n\tvar pass = false;\n\t(t[0].match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.20 fill CT_Fill */\n\t\t\tcase '': case '':\n\t\t\t\tfill = {}; styles.Fills.push(fill); break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.24 gradientFill CT_GradientFill */\n\t\t\tcase '': break;\n\t\t\tcase '': styles.Fills.push(fill); fill = {}; break;\n\n\t\t\t/* 18.8.32 patternFill CT_PatternFill */\n\t\t\tcase '':\n\t\t\t\tif(y.patternType) fill.patternType = y.patternType;\n\t\t\t\tbreak;\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.3 bgColor CT_Color */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.19 fgColor CT_Color */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.38 stop CT_GradientStop */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.? color CT_Color */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.10 extLst CT_ExtensionList ? */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': pass = false; break;\n\t\t\tdefault: if(opts && opts.WTF) {\n\t\t\t\tif(!pass) throw new Error('unrecognized ' + y[0] + ' in fills');\n\t\t\t}\n\t\t}\n\t});\n}\n\n/* 18.8.23 fonts CT_Fonts */\nfunction parse_fonts(t, styles, themes, opts) {\n\tstyles.Fonts = [];\n\tvar font = {};\n\tvar pass = false;\n\t(t[0].match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.22 font CT_Font */\n\t\t\tcase '': break;\n\t\t\tcase '': case '':\n\t\t\t\tstyles.Fonts.push(font);\n\t\t\t\tfont = {};\n\t\t\t\tbreak;\n\n\t\t\t/* 18.8.29 name CT_FontName */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.2 b CT_BooleanProperty */\n\t\t\tcase '': font.bold = 1; break;\n\n\t\t\t/* 18.8.26 i CT_BooleanProperty */\n\t\t\tcase '': font.italic = 1; break;\n\n\t\t\t/* 18.4.13 u CT_UnderlineProperty */\n\t\t\tcase '': font.underline = 1; break;\n\n\t\t\t/* 18.4.10 strike CT_BooleanProperty */\n\t\t\tcase '': font.strike = 1; break;\n\n\t\t\t/* 18.4.2 outline CT_BooleanProperty */\n\t\t\tcase '': font.outline = 1; break;\n\n\t\t\t/* 18.8.36 shadow CT_BooleanProperty */\n\t\t\tcase '': font.shadow = 1; break;\n\n\t\t\t/* 18.8.12 condense CT_BooleanProperty */\n\t\t\tcase '': font.condense = 1; break;\n\n\t\t\t/* 18.8.17 extend CT_BooleanProperty */\n\t\t\tcase '': font.extend = 1; break;\n\n\t\t\t/* 18.4.11 sz CT_FontSize */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.4.14 vertAlign CT_VerticalAlignFontProperty */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.18 family CT_FontFamily */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.35 scheme CT_FontScheme */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.4.1 charset CT_IntProperty */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* note: sometimes mc:AlternateContent appears bare */\n\t\t\tcase '': pass = false; break;\n\n\t\t\t/* 18.2.10 extLst CT_ExtensionList ? */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': pass = false; break;\n\t\t\tdefault: if(opts && opts.WTF) {\n\t\t\t\tif(!pass) throw new Error('unrecognized ' + y[0] + ' in fonts');\n\t\t\t}\n\t\t}\n\t});\n}\n\n/* 18.8.31 numFmts CT_NumFmts */\nfunction parse_numFmts(t, styles, opts) {\n\tstyles.NumberFmt = [];\n\tvar k/*Array*/ = (keys(SSF._table));\n\tfor(var i=0; i < k.length; ++i) styles.NumberFmt[k[i]] = SSF._table[k[i]];\n\tvar m = t[0].match(tagregex);\n\tif(!m) return;\n\tfor(i=0; i < m.length; ++i) {\n\t\tvar y = parsexmltag(m[i]);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': case '': case '': break;\n\t\t\tcase '0) {\n\t\t\t\t\tif(j > 0x188) {\n\t\t\t\t\t\tfor(j = 0x188; j > 0x3c; --j) if(styles.NumberFmt[j] == null) break;\n\t\t\t\t\t\tstyles.NumberFmt[j] = f;\n\t\t\t\t\t}\n\t\t\t\t\tSSF.load(f,j);\n\t\t\t\t}\n\t\t\t} break;\n\t\t\tcase '': break;\n\t\t\tdefault: if(opts.WTF) throw new Error('unrecognized ' + y[0] + ' in numFmts');\n\t\t}\n\t}\n}\n\nfunction write_numFmts(NF) {\n\tvar o = [\"\"];\n\t[[5,8],[23,26],[41,44],[/*63*/50,/*66],[164,*/392]].forEach(function(r) {\n\t\tfor(var i = r[0]; i <= r[1]; ++i) if(NF[i] != null) o[o.length] = (writextag('numFmt',null,{numFmtId:i,formatCode:escapexml(NF[i])}));\n\t});\n\tif(o.length === 1) return \"\";\n\to[o.length] = (\"\");\n\to[0] = writextag('numFmts', null, { count:o.length-2 }).replace(\"/>\", \">\");\n\treturn o.join(\"\");\n}\n\n/* 18.8.10 cellXfs CT_CellXfs */\nvar cellXF_uint = [ \"numFmtId\", \"fillId\", \"fontId\", \"borderId\", \"xfId\" ];\nvar cellXF_bool = [ \"applyAlignment\", \"applyBorder\", \"applyFill\", \"applyFont\", \"applyNumberFormat\", \"applyProtection\", \"pivotButton\", \"quotePrefix\" ];\nfunction parse_cellXfs(t, styles, opts) {\n\tstyles.CellXf = [];\n\tvar xf;\n\tvar pass = false;\n\t(t[0].match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x), i = 0;\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': case '': case '': break;\n\n\t\t\t/* 18.8.45 xf CT_Xf */\n\t\t\tcase '':\n\t\t\t\txf = y;\n\t\t\t\tdelete xf[0];\n\t\t\t\tfor(i = 0; i < cellXF_uint.length; ++i) if(xf[cellXF_uint[i]])\n\t\t\t\t\txf[cellXF_uint[i]] = parseInt(xf[cellXF_uint[i]], 10);\n\t\t\t\tfor(i = 0; i < cellXF_bool.length; ++i) if(xf[cellXF_bool[i]])\n\t\t\t\t\txf[cellXF_bool[i]] = parsexmlbool(xf[cellXF_bool[i]]);\n\t\t\t\tif(xf.numFmtId > 0x188) {\n\t\t\t\t\tfor(i = 0x188; i > 0x3c; --i) if(styles.NumberFmt[xf.numFmtId] == styles.NumberFmt[i]) { xf.numFmtId = i; break; }\n\t\t\t\t}\n\t\t\t\tstyles.CellXf.push(xf); break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.1 alignment CT_CellAlignment */\n\t\t\tcase '':\n\t\t\t\tvar alignment = {};\n\t\t\t\tif(y.vertical) alignment.vertical = y.vertical;\n\t\t\t\tif(y.horizontal) alignment.horizontal = y.horizontal;\n\t\t\t\tif(y.textRotation != null) alignment.textRotation = y.textRotation;\n\t\t\t\tif(y.indent) alignment.indent = y.indent;\n\t\t\t\tif(y.wrapText) alignment.wrapText = parsexmlbool(y.wrapText);\n\t\t\t\txf.alignment = alignment;\n\t\t\t\tbreak;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.33 protection CT_CellProtection */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* note: sometimes mc:AlternateContent appears bare */\n\t\t\tcase '': pass = false; break;\n\n\t\t\t/* 18.2.10 extLst CT_ExtensionList ? */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': pass = false; break;\n\t\t\tdefault: if(opts && opts.WTF) {\n\t\t\t\tif(!pass) throw new Error('unrecognized ' + y[0] + ' in cellXfs');\n\t\t\t}\n\t\t}\n\t});\n}\n\nfunction write_cellXfs(cellXfs) {\n\tvar o = [];\n\to[o.length] = (writextag('cellXfs',null));\n\tcellXfs.forEach(function(c) {\n\t\to[o.length] = (writextag('xf', null, c));\n\t});\n\to[o.length] = (\"\");\n\tif(o.length === 2) return \"\";\n\to[0] = writextag('cellXfs',null, {count:o.length-2}).replace(\"/>\",\">\");\n\treturn o.join(\"\");\n}\n\n/* 18.8 Styles CT_Stylesheet*/\nvar parse_sty_xml= (function make_pstyx() {\nvar numFmtRegex = /<(?:\\w+:)?numFmts([^>]*)>[\\S\\s]*?<\\/(?:\\w+:)?numFmts>/;\nvar cellXfRegex = /<(?:\\w+:)?cellXfs([^>]*)>[\\S\\s]*?<\\/(?:\\w+:)?cellXfs>/;\nvar fillsRegex = /<(?:\\w+:)?fills([^>]*)>[\\S\\s]*?<\\/(?:\\w+:)?fills>/;\nvar fontsRegex = /<(?:\\w+:)?fonts([^>]*)>[\\S\\s]*?<\\/(?:\\w+:)?fonts>/;\nvar bordersRegex = /<(?:\\w+:)?borders([^>]*)>[\\S\\s]*?<\\/(?:\\w+:)?borders>/;\n\nreturn function parse_sty_xml(data, themes, opts) {\n\tvar styles = {};\n\tif(!data) return styles;\n\tdata = data.replace(//mg,\"\").replace(//gm,\"\");\n\t/* 18.8.39 styleSheet CT_Stylesheet */\n\tvar t;\n\n\t/* 18.8.31 numFmts CT_NumFmts ? */\n\tif((t=data.match(numFmtRegex))) parse_numFmts(t, styles, opts);\n\n\t/* 18.8.23 fonts CT_Fonts ? */\n\tif((t=data.match(fontsRegex))) parse_fonts(t, styles, themes, opts);\n\n\t/* 18.8.21 fills CT_Fills ? */\n\tif((t=data.match(fillsRegex))) parse_fills(t, styles, themes, opts);\n\n\t/* 18.8.5 borders CT_Borders ? */\n\tif((t=data.match(bordersRegex))) parse_borders(t, styles, themes, opts);\n\n\t/* 18.8.9 cellStyleXfs CT_CellStyleXfs ? */\n\t/* 18.8.8 cellStyles CT_CellStyles ? */\n\n\t/* 18.8.10 cellXfs CT_CellXfs ? */\n\tif((t=data.match(cellXfRegex))) parse_cellXfs(t, styles, opts);\n\n\t/* 18.8.15 dxfs CT_Dxfs ? */\n\t/* 18.8.42 tableStyles CT_TableStyles ? */\n\t/* 18.8.11 colors CT_Colors ? */\n\t/* 18.2.10 extLst CT_ExtensionList ? */\n\n\treturn styles;\n};\n})();\n\nvar STYLES_XML_ROOT = writextag('styleSheet', null, {\n\t'xmlns': XMLNS.main[0],\n\t'xmlns:vt': XMLNS.vt\n});\n\nRELS.STY = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/styles\";\n\nfunction write_sty_xml(wb, opts) {\n\tvar o = [XML_HEADER, STYLES_XML_ROOT], w;\n\tif(wb.SSF && (w = write_numFmts(wb.SSF)) != null) o[o.length] = w;\n\to[o.length] = ('');\n\to[o.length] = ('');\n\to[o.length] = ('');\n\to[o.length] = ('');\n\tif((w = write_cellXfs(opts.cellXfs))) o[o.length] = (w);\n\to[o.length] = ('');\n\to[o.length] = ('');\n\to[o.length] = ('');\n\n\tif(o.length>2){ o[o.length] = (''); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.657 BrtFmt */\nfunction parse_BrtFmt(data, length) {\n\tvar numFmtId = data.read_shift(2);\n\tvar stFmtCode = parse_XLWideString(data,length-2);\n\treturn [numFmtId, stFmtCode];\n}\nfunction write_BrtFmt(i, f, o) {\n\tif(!o) o = new_buf(6 + 4 * f.length);\n\to.write_shift(2, i);\n\twrite_XLWideString(f, o);\n\tvar out = (o.length > o.l) ? o.slice(0, o.l) : o;\n\tif(o.l == null) o.l = o.length;\n\treturn out;\n}\n\n/* [MS-XLSB] 2.4.659 BrtFont TODO */\nfunction parse_BrtFont(data, length, opts) {\n\tvar out = ({});\n\n\tout.sz = data.read_shift(2) / 20;\n\n\tvar grbit = parse_FontFlags(data, 2, opts);\n\tif(grbit.fItalic) out.italic = 1;\n\tif(grbit.fCondense) out.condense = 1;\n\tif(grbit.fExtend) out.extend = 1;\n\tif(grbit.fShadow) out.shadow = 1;\n\tif(grbit.fOutline) out.outline = 1;\n\tif(grbit.fStrikeout) out.strike = 1;\n\n\tvar bls = data.read_shift(2);\n\tif(bls === 0x02BC) out.bold = 1;\n\n\tswitch(data.read_shift(2)) {\n\t\t/* case 0: out.vertAlign = \"baseline\"; break; */\n\t\tcase 1: out.vertAlign = \"superscript\"; break;\n\t\tcase 2: out.vertAlign = \"subscript\"; break;\n\t}\n\n\tvar underline = data.read_shift(1);\n\tif(underline != 0) out.underline = underline;\n\n\tvar family = data.read_shift(1);\n\tif(family > 0) out.family = family;\n\n\tvar bCharSet = data.read_shift(1);\n\tif(bCharSet > 0) out.charset = bCharSet;\n\n\tdata.l++;\n\tout.color = parse_BrtColor(data, 8);\n\n\tswitch(data.read_shift(1)) {\n\t\t/* case 0: out.scheme = \"none\": break; */\n\t\tcase 1: out.scheme = \"major\"; break;\n\t\tcase 2: out.scheme = \"minor\"; break;\n\t}\n\n\tout.name = parse_XLWideString(data, length - 21);\n\n\treturn out;\n}\nfunction write_BrtFont(font, o) {\n\tif(!o) o = new_buf(25+4*32);\n\to.write_shift(2, font.sz * 20);\n\twrite_FontFlags(font, o);\n\to.write_shift(2, font.bold ? 0x02BC : 0x0190);\n\tvar sss = 0;\n\tif(font.vertAlign == \"superscript\") sss = 1;\n\telse if(font.vertAlign == \"subscript\") sss = 2;\n\to.write_shift(2, sss);\n\to.write_shift(1, font.underline || 0);\n\to.write_shift(1, font.family || 0);\n\to.write_shift(1, font.charset || 0);\n\to.write_shift(1, 0);\n\twrite_BrtColor(font.color, o);\n\tvar scheme = 0;\n\tif(font.scheme == \"major\") scheme = 1;\n\tif(font.scheme == \"minor\") scheme = 2;\n\to.write_shift(1, scheme);\n\twrite_XLWideString(font.name, o);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.650 BrtFill */\nvar XLSBFillPTNames = [\n\t\"none\",\n\t\"solid\",\n\t\"mediumGray\",\n\t\"darkGray\",\n\t\"lightGray\",\n\t\"darkHorizontal\",\n\t\"darkVertical\",\n\t\"darkDown\",\n\t\"darkUp\",\n\t\"darkGrid\",\n\t\"darkTrellis\",\n\t\"lightHorizontal\",\n\t\"lightVertical\",\n\t\"lightDown\",\n\t\"lightUp\",\n\t\"lightGrid\",\n\t\"lightTrellis\",\n\t\"gray125\",\n\t\"gray0625\"\n];\nvar rev_XLSBFillPTNames = (evert(XLSBFillPTNames));\n/* TODO: gradient fill representation */\nvar parse_BrtFill = parsenoop;\nfunction write_BrtFill(fill, o) {\n\tif(!o) o = new_buf(4*3 + 8*7 + 16*1);\n\tvar fls = rev_XLSBFillPTNames[fill.patternType];\n\tif(fls == null) fls = 0x28;\n\to.write_shift(4, fls);\n\tvar j = 0;\n\tif(fls != 0x28) {\n\t\t/* TODO: custom FG Color */\n\t\twrite_BrtColor({auto:1}, o);\n\t\t/* TODO: custom BG Color */\n\t\twrite_BrtColor({auto:1}, o);\n\n\t\tfor(; j < 12; ++j) o.write_shift(4, 0);\n\t} else {\n\t\tfor(; j < 4; ++j) o.write_shift(4, 0);\n\n\t\tfor(; j < 12; ++j) o.write_shift(4, 0); /* TODO */\n\t\t/* iGradientType */\n\t\t/* xnumDegree */\n\t\t/* xnumFillToLeft */\n\t\t/* xnumFillToRight */\n\t\t/* xnumFillToTop */\n\t\t/* xnumFillToBottom */\n\t\t/* cNumStop */\n\t\t/* xfillGradientStop */\n\t}\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.824 BrtXF */\nfunction parse_BrtXF(data, length) {\n\tvar tgt = data.l + length;\n\tvar ixfeParent = data.read_shift(2);\n\tvar ifmt = data.read_shift(2);\n\tdata.l = tgt;\n\treturn {ixfe:ixfeParent, numFmtId:ifmt };\n}\nfunction write_BrtXF(data, ixfeP, o) {\n\tif(!o) o = new_buf(16);\n\to.write_shift(2, ixfeP||0);\n\to.write_shift(2, data.numFmtId||0);\n\to.write_shift(2, 0); /* iFont */\n\to.write_shift(2, 0); /* iFill */\n\to.write_shift(2, 0); /* ixBorder */\n\to.write_shift(1, 0); /* trot */\n\to.write_shift(1, 0); /* indent */\n\tvar flow = 0;\n\to.write_shift(1, flow); /* flags */\n\to.write_shift(1, 0); /* flags */\n\to.write_shift(1, 0); /* xfGrbitAtr */\n\to.write_shift(1, 0);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.5.4 Blxf TODO */\nfunction write_Blxf(data, o) {\n\tif(!o) o = new_buf(10);\n\to.write_shift(1, 0); /* dg */\n\to.write_shift(1, 0);\n\to.write_shift(4, 0); /* color */\n\to.write_shift(4, 0); /* color */\n\treturn o;\n}\n/* [MS-XLSB] 2.4.302 BrtBorder TODO */\nvar parse_BrtBorder = parsenoop;\nfunction write_BrtBorder(border, o) {\n\tif(!o) o = new_buf(51);\n\to.write_shift(1, 0); /* diagonal */\n\twrite_Blxf(null, o); /* top */\n\twrite_Blxf(null, o); /* bottom */\n\twrite_Blxf(null, o); /* left */\n\twrite_Blxf(null, o); /* right */\n\twrite_Blxf(null, o); /* diag */\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.763 BrtStyle TODO */\nfunction write_BrtStyle(style, o) {\n\tif(!o) o = new_buf(12+4*10);\n\to.write_shift(4, style.xfId);\n\to.write_shift(2, 1);\n\to.write_shift(1, +style.builtinId);\n\to.write_shift(1, 0); /* iLevel */\n\twrite_XLNullableWideString(style.name || \"\", o);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.272 BrtBeginTableStyles */\nfunction write_BrtBeginTableStyles(cnt, defTableStyle, defPivotStyle) {\n\tvar o = new_buf(4+256*2*4);\n\to.write_shift(4, cnt);\n\twrite_XLNullableWideString(defTableStyle, o);\n\twrite_XLNullableWideString(defPivotStyle, o);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.1.7.50 Styles */\nfunction parse_sty_bin(data, themes, opts) {\n\tvar styles = {};\n\tstyles.NumberFmt = ([]);\n\tfor(var y in SSF._table) styles.NumberFmt[y] = SSF._table[y];\n\n\tstyles.CellXf = [];\n\tstyles.Fonts = [];\n\tvar state = [];\n\tvar pass = false;\n\trecordhopper(data, function hopper_sty(val, R_n, RT) {\n\t\tswitch(RT) {\n\t\t\tcase 0x002C: /* 'BrtFmt' */\n\t\t\t\tstyles.NumberFmt[val[0]] = val[1]; SSF.load(val[1], val[0]);\n\t\t\t\tbreak;\n\t\t\tcase 0x002B: /* 'BrtFont' */\n\t\t\t\tstyles.Fonts.push(val);\n\t\t\t\tif(val.color.theme != null && themes && themes.themeElements && themes.themeElements.clrScheme) {\n\t\t\t\t\tval.color.rgb = rgb_tint(themes.themeElements.clrScheme[val.color.theme].rgb, val.color.tint || 0);\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase 0x0401: /* 'BrtKnownFonts' */ break;\n\t\t\tcase 0x002D: /* 'BrtFill' */\n\t\t\t\tbreak;\n\t\t\tcase 0x002E: /* 'BrtBorder' */\n\t\t\t\tbreak;\n\t\t\tcase 0x002F: /* 'BrtXF' */\n\t\t\t\tif(state[state.length - 1] == \"BrtBeginCellXFs\") {\n\t\t\t\t\tstyles.CellXf.push(val);\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase 0x0030: /* 'BrtStyle' */\n\t\t\tcase 0x01FB: /* 'BrtDXF' */\n\t\t\tcase 0x023C: /* 'BrtMRUColor' */\n\t\t\tcase 0x01DB: /* 'BrtIndexedColor': */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0493: /* 'BrtDXF14' */\n\t\t\tcase 0x0836: /* 'BrtDXF15' */\n\t\t\tcase 0x046A: /* 'BrtSlicerStyleElement' */\n\t\t\tcase 0x0200: /* 'BrtTableStyleElement' */\n\t\t\tcase 0x082F: /* 'BrtTimelineStyleElement' */\n\t\t\tcase 0x0C00: /* 'BrtUid' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\t\t\tcase 0x0025: /* 'BrtACBegin' */\n\t\t\t\tstate.push(R_n); pass = true; break;\n\t\t\tcase 0x0026: /* 'BrtACEnd' */\n\t\t\t\tstate.pop(); pass = false; break;\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0) state.push(R_n);\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0) state.pop();\n\t\t\t\telse if(!pass || (opts.WTF && state[state.length-1] != \"BrtACBegin\")) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t});\n\treturn styles;\n}\n\nfunction write_FMTS_bin(ba, NF) {\n\tif(!NF) return;\n\tvar cnt = 0;\n\t[[5,8],[23,26],[41,44],[/*63*/50,/*66],[164,*/392]].forEach(function(r) {\nfor(var i = r[0]; i <= r[1]; ++i) if(NF[i] != null) ++cnt;\n\t});\n\n\tif(cnt == 0) return;\n\twrite_record(ba, \"BrtBeginFmts\", write_UInt32LE(cnt));\n\t[[5,8],[23,26],[41,44],[/*63*/50,/*66],[164,*/392]].forEach(function(r) {\nfor(var i = r[0]; i <= r[1]; ++i) if(NF[i] != null) write_record(ba, \"BrtFmt\", write_BrtFmt(i, NF[i]));\n\t});\n\twrite_record(ba, \"BrtEndFmts\");\n}\n\nfunction write_FONTS_bin(ba) {\n\tvar cnt = 1;\n\n\tif(cnt == 0) return;\n\twrite_record(ba, \"BrtBeginFonts\", write_UInt32LE(cnt));\n\twrite_record(ba, \"BrtFont\", write_BrtFont({\n\t\tsz:12,\n\t\tcolor: {theme:1},\n\t\tname: \"Calibri\",\n\t\tfamily: 2,\n\t\tscheme: \"minor\"\n\t}));\n\t/* 1*65491BrtFont [ACFONTS] */\n\twrite_record(ba, \"BrtEndFonts\");\n}\n\nfunction write_FILLS_bin(ba) {\n\tvar cnt = 2;\n\n\tif(cnt == 0) return;\n\twrite_record(ba, \"BrtBeginFills\", write_UInt32LE(cnt));\n\twrite_record(ba, \"BrtFill\", write_BrtFill({patternType:\"none\"}));\n\twrite_record(ba, \"BrtFill\", write_BrtFill({patternType:\"gray125\"}));\n\t/* 1*65431BrtFill */\n\twrite_record(ba, \"BrtEndFills\");\n}\n\nfunction write_BORDERS_bin(ba) {\n\tvar cnt = 1;\n\n\tif(cnt == 0) return;\n\twrite_record(ba, \"BrtBeginBorders\", write_UInt32LE(cnt));\n\twrite_record(ba, \"BrtBorder\", write_BrtBorder({}));\n\t/* 1*65430BrtBorder */\n\twrite_record(ba, \"BrtEndBorders\");\n}\n\nfunction write_CELLSTYLEXFS_bin(ba) {\n\tvar cnt = 1;\n\twrite_record(ba, \"BrtBeginCellStyleXFs\", write_UInt32LE(cnt));\n\twrite_record(ba, \"BrtXF\", write_BrtXF({\n\t\tnumFmtId: 0,\n\t\tfontId: 0,\n\t\tfillId: 0,\n\t\tborderId: 0\n\t}, 0xFFFF));\n\t/* 1*65430(BrtXF *FRT) */\n\twrite_record(ba, \"BrtEndCellStyleXFs\");\n}\n\nfunction write_CELLXFS_bin(ba, data) {\n\twrite_record(ba, \"BrtBeginCellXFs\", write_UInt32LE(data.length));\n\tdata.forEach(function(c) { write_record(ba, \"BrtXF\", write_BrtXF(c,0)); });\n\t/* 1*65430(BrtXF *FRT) */\n\twrite_record(ba, \"BrtEndCellXFs\");\n}\n\nfunction write_STYLES_bin(ba) {\n\tvar cnt = 1;\n\n\twrite_record(ba, \"BrtBeginStyles\", write_UInt32LE(cnt));\n\twrite_record(ba, \"BrtStyle\", write_BrtStyle({\n\t\txfId:0,\n\t\tbuiltinId:0,\n\t\tname:\"Normal\"\n\t}));\n\t/* 1*65430(BrtStyle *FRT) */\n\twrite_record(ba, \"BrtEndStyles\");\n}\n\nfunction write_DXFS_bin(ba) {\n\tvar cnt = 0;\n\n\twrite_record(ba, \"BrtBeginDXFs\", write_UInt32LE(cnt));\n\t/* *2147483647(BrtDXF *FRT) */\n\twrite_record(ba, \"BrtEndDXFs\");\n}\n\nfunction write_TABLESTYLES_bin(ba) {\n\tvar cnt = 0;\n\n\twrite_record(ba, \"BrtBeginTableStyles\", write_BrtBeginTableStyles(cnt, \"TableStyleMedium9\", \"PivotStyleMedium4\"));\n\t/* *TABLESTYLE */\n\twrite_record(ba, \"BrtEndTableStyles\");\n}\n\nfunction write_COLORPALETTE_bin() {\n\treturn;\n\t/* BrtBeginColorPalette [INDEXEDCOLORS] [MRUCOLORS] BrtEndColorPalette */\n}\n\n/* [MS-XLSB] 2.1.7.50 Styles */\nfunction write_sty_bin(wb, opts) {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginStyleSheet\");\n\twrite_FMTS_bin(ba, wb.SSF);\n\twrite_FONTS_bin(ba, wb);\n\twrite_FILLS_bin(ba, wb);\n\twrite_BORDERS_bin(ba, wb);\n\twrite_CELLSTYLEXFS_bin(ba, wb);\n\twrite_CELLXFS_bin(ba, opts.cellXfs);\n\twrite_STYLES_bin(ba, wb);\n\twrite_DXFS_bin(ba, wb);\n\twrite_TABLESTYLES_bin(ba, wb);\n\twrite_COLORPALETTE_bin(ba, wb);\n\t/* FRTSTYLESHEET*/\n\twrite_record(ba, \"BrtEndStyleSheet\");\n\treturn ba.end();\n}\nRELS.THEME = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/theme\";\n\n/* Even though theme layout is dk1 lt1 dk2 lt2, true order is lt1 dk1 lt2 dk2 */\nvar XLSXThemeClrScheme = [\n\t'', '', '', '',\n\t'', '', '',\n\t'', '', '',\n\t'', ''\n];\n/* 20.1.6.2 clrScheme CT_ColorScheme */\nfunction parse_clrScheme(t, themes, opts) {\n\tthemes.themeElements.clrScheme = [];\n\tvar color = {};\n\t(t[0].match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(y[0]) {\n\t\t\t/* 20.1.6.2 clrScheme (Color Scheme) CT_ColorScheme */\n\t\t\tcase '': break;\n\n\t\t\t/* 20.1.2.3.32 srgbClr CT_SRgbColor */\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\t\tif (y[0].charAt(1) === '/') {\n\t\t\t\t\tthemes.themeElements.clrScheme[XLSXThemeClrScheme.indexOf(y[0])] = color;\n\t\t\t\t\tcolor = {};\n\t\t\t\t} else {\n\t\t\t\t\tcolor.name = y[0].slice(3, y[0].length - 1);\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tdefault: if(opts && opts.WTF) throw new Error('Unrecognized ' + y[0] + ' in clrScheme');\n\t\t}\n\t});\n}\n\n/* 20.1.4.1.18 fontScheme CT_FontScheme */\nfunction parse_fontScheme() { }\n\n/* 20.1.4.1.15 fmtScheme CT_StyleMatrix */\nfunction parse_fmtScheme() { }\n\nvar clrsregex = /]*)>[\\s\\S]*<\\/a:clrScheme>/;\nvar fntsregex = /]*)>[\\s\\S]*<\\/a:fontScheme>/;\nvar fmtsregex = /]*)>[\\s\\S]*<\\/a:fmtScheme>/;\n\n/* 20.1.6.10 themeElements CT_BaseStyles */\nfunction parse_themeElements(data, themes, opts) {\n\tthemes.themeElements = {};\n\n\tvar t;\n\n\t[\n\t\t/* clrScheme CT_ColorScheme */\n\t\t['clrScheme', clrsregex, parse_clrScheme],\n\t\t/* fontScheme CT_FontScheme */\n\t\t['fontScheme', fntsregex, parse_fontScheme],\n\t\t/* fmtScheme CT_StyleMatrix */\n\t\t['fmtScheme', fmtsregex, parse_fmtScheme]\n\t].forEach(function(m) {\n\t\tif(!(t=data.match(m[1]))) throw new Error(m[0] + ' not found in themeElements');\n\t\tm[2](t, themes, opts);\n\t});\n}\n\nvar themeltregex = /]*)>[\\s\\S]*<\\/a:themeElements>/;\n\n/* 14.2.7 Theme Part */\nfunction parse_theme_xml(data, opts) {\n\t/* 20.1.6.9 theme CT_OfficeStyleSheet */\n\tif(!data || data.length === 0) return parse_theme_xml(write_theme());\n\n\tvar t;\n\tvar themes = {};\n\n\t/* themeElements CT_BaseStyles */\n\tif(!(t=data.match(themeltregex))) throw new Error('themeElements not found in theme');\n\tparse_themeElements(t[0], themes, opts);\n\tthemes.raw = data;\n\treturn themes;\n}\n\nfunction write_theme(Themes, opts) {\n\tif(opts && opts.themeXLSX) return opts.themeXLSX;\n\tif(Themes && typeof Themes.raw == \"string\") return Themes.raw;\n\tvar o = [XML_HEADER];\n\to[o.length] = '';\n\to[o.length] = '';\n\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = 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'';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\treturn o.join(\"\");\n}\n/* [MS-XLS] 2.4.326 TODO: payload is a zip file */\nfunction parse_Theme(blob, length, opts) {\n\tvar end = blob.l + length;\n\tvar dwThemeVersion = blob.read_shift(4);\n\tif(dwThemeVersion === 124226) return;\n\tif(!opts.cellStyles || !jszip) { blob.l = end; return; }\n\tvar data = blob.slice(blob.l);\n\tblob.l = end;\n\tvar zip; try { zip = new jszip(data); } catch(e) { return; }\n\tvar themeXML = getzipstr(zip, \"theme/theme/theme1.xml\", true);\n\tif(!themeXML) return;\n\treturn parse_theme_xml(themeXML, opts);\n}\n\n/* 2.5.49 */\nfunction parse_ColorTheme(blob) { return blob.read_shift(4); }\n\n/* 2.5.155 */\nfunction parse_FullColorExt(blob) {\n\tvar o = {};\n\to.xclrType = blob.read_shift(2);\n\to.nTintShade = blob.read_shift(2);\n\tswitch(o.xclrType) {\n\t\tcase 0: blob.l += 4; break;\n\t\tcase 1: o.xclrValue = parse_IcvXF(blob, 4); break;\n\t\tcase 2: o.xclrValue = parse_LongRGBA(blob, 4); break;\n\t\tcase 3: o.xclrValue = parse_ColorTheme(blob, 4); break;\n\t\tcase 4: blob.l += 4; break;\n\t}\n\tblob.l += 8;\n\treturn o;\n}\n\n/* 2.5.164 TODO: read 7 bits*/\nfunction parse_IcvXF(blob, length) {\n\treturn parsenoop(blob, length);\n}\n\n/* 2.5.280 */\nfunction parse_XFExtGradient(blob, length) {\n\treturn parsenoop(blob, length);\n}\n\n/* [MS-XLS] 2.5.108 */\nfunction parse_ExtProp(blob) {\n\tvar extType = blob.read_shift(2);\n\tvar cb = blob.read_shift(2) - 4;\n\tvar o = [extType];\n\tswitch(extType) {\n\t\tcase 0x04: case 0x05: case 0x07: case 0x08:\n\t\tcase 0x09: case 0x0A: case 0x0B: case 0x0D:\n\t\t\to[1] = parse_FullColorExt(blob, cb); break;\n\t\tcase 0x06: o[1] = parse_XFExtGradient(blob, cb); break;\n\t\tcase 0x0E: case 0x0F: o[1] = blob.read_shift(cb === 1 ? 1 : 2); break;\n\t\tdefault: throw new Error(\"Unrecognized ExtProp type: \" + extType + \" \" + cb);\n\t}\n\treturn o;\n}\n\n/* 2.4.355 */\nfunction parse_XFExt(blob, length) {\n\tvar end = blob.l + length;\n\tblob.l += 2;\n\tvar ixfe = blob.read_shift(2);\n\tblob.l += 2;\n\tvar cexts = blob.read_shift(2);\n\tvar ext = [];\n\twhile(cexts-- > 0) ext.push(parse_ExtProp(blob, end-blob.l));\n\treturn {ixfe:ixfe, ext:ext};\n}\n\n/* xf is an XF, see parse_XFExt for xfext */\nfunction update_xfext(xf, xfext) {\n\txfext.forEach(function(xfe) {\n\t\tswitch(xfe[0]) { /* 2.5.108 extPropData */\n\t\t\tcase 0x04: break; /* foreground color */\n\t\t\tcase 0x05: break; /* background color */\n\t\t\tcase 0x06: break; /* gradient fill */\n\t\t\tcase 0x07: break; /* top cell border color */\n\t\t\tcase 0x08: break; /* bottom cell border color */\n\t\t\tcase 0x09: break; /* left cell border color */\n\t\t\tcase 0x0a: break; /* right cell border color */\n\t\t\tcase 0x0b: break; /* diagonal cell border color */\n\t\t\tcase 0x0d: /* text color */\n\t\t\t\tbreak;\n\t\t\tcase 0x0e: break; /* font scheme */\n\t\t\tcase 0x0f: break; /* indentation level */\n\t\t}\n\t});\n}\n\n/* 18.6 Calculation Chain */\nfunction parse_cc_xml(data) {\n\tvar d = [];\n\tif(!data) return d;\n\tvar i = 1;\n\t(data.match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(y[0]) {\n\t\t\tcase '': case '': break;\n\t\t\t/* 18.6.1 c CT_CalcCell 1 */\n\t\t\tcase ' 0){/* empty */}\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0){/* empty */}\n\t\t\t\telse if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t});\n\treturn out;\n}\n\n//function write_cc_bin(data, opts) { }\n/* 18.14 Supplementary Workbook Data */\nfunction parse_xlink_xml() {\n\t//var opts = _opts || {};\n\t//if(opts.WTF) throw \"XLSX External Link\";\n}\n\n/* [MS-XLSB] 2.1.7.25 External Link */\nfunction parse_xlink_bin(data, rel, name, _opts) {\n\tif(!data) return data;\n\tvar opts = _opts || {};\n\n\tvar pass = false, end = false;\n\n\trecordhopper(data, function xlink_parse(val, R_n, RT) {\n\t\tif(end) return;\n\t\tswitch(RT) {\n\t\t\tcase 0x0167: /* 'BrtSupTabs' */\n\t\t\tcase 0x016B: /* 'BrtExternTableStart' */\n\t\t\tcase 0x016C: /* 'BrtExternTableEnd' */\n\t\t\tcase 0x016E: /* 'BrtExternRowHdr' */\n\t\t\tcase 0x016F: /* 'BrtExternCellBlank' */\n\t\t\tcase 0x0170: /* 'BrtExternCellReal' */\n\t\t\tcase 0x0171: /* 'BrtExternCellBool' */\n\t\t\tcase 0x0172: /* 'BrtExternCellError' */\n\t\t\tcase 0x0173: /* 'BrtExternCellString' */\n\t\t\tcase 0x01D8: /* 'BrtExternValueMeta' */\n\t\t\tcase 0x0241: /* 'BrtSupNameStart' */\n\t\t\tcase 0x0242: /* 'BrtSupNameValueStart' */\n\t\t\tcase 0x0243: /* 'BrtSupNameValueEnd' */\n\t\t\tcase 0x0244: /* 'BrtSupNameNum' */\n\t\t\tcase 0x0245: /* 'BrtSupNameErr' */\n\t\t\tcase 0x0246: /* 'BrtSupNameSt' */\n\t\t\tcase 0x0247: /* 'BrtSupNameNil' */\n\t\t\tcase 0x0248: /* 'BrtSupNameBool' */\n\t\t\tcase 0x0249: /* 'BrtSupNameFmla' */\n\t\t\tcase 0x024A: /* 'BrtSupNameBits' */\n\t\t\tcase 0x024B: /* 'BrtSupNameEnd' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0){/* empty */}\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0){/* empty */}\n\t\t\t\telse if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT.toString(16) + \" \" + R_n);\n\t\t}\n\t}, opts);\n}\n/* 20.5 DrawingML - SpreadsheetML Drawing */\nRELS.IMG = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/image\";\nRELS.DRAW = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/drawing\";\n\n/* 20.5.2.35 wsDr CT_Drawing */\nfunction parse_drawing(data, rels) {\n\tif(!data) return \"??\";\n\t/*\n\t Chartsheet Drawing:\n\t - 20.5.2.35 wsDr CT_Drawing\n\t - 20.5.2.1 absoluteAnchor CT_AbsoluteAnchor\n\t - 20.5.2.16 graphicFrame CT_GraphicalObjectFrame\n\t - 20.1.2.2.16 graphic CT_GraphicalObject\n\t - 20.1.2.2.17 graphicData CT_GraphicalObjectData\n - chart reference\n\t the actual type is based on the URI of the graphicData\n\t\tTODO: handle embedded charts and other types of graphics\n\t*/\n\tvar id = (data.match(/]*r:id=\"([^\"]*)\"/)||[\"\",\"\"])[1];\n\n\treturn rels['!id'][id].Target;\n}\n\n/* L.5.5.2 SpreadsheetML Comments + VML Schema */\nvar _shapeid = 1024;\nfunction write_comments_vml(rId, comments) {\n\tvar csize = [21600, 21600];\n\t/* L.5.2.1.2 Path Attribute */\n\tvar bbox = [\"m0,0l0\",csize[1],csize[0],csize[1],csize[0],\"0xe\"].join(\",\");\n\tvar o = [\n\t\twritextag(\"xml\", null, { 'xmlns:v': XLMLNS.v, 'xmlns:o': XLMLNS.o, 'xmlns:x': XLMLNS.x, 'xmlns:mv': XLMLNS.mv }).replace(/\\/>/,\">\"),\n\t\twritextag(\"o:shapelayout\", writextag(\"o:idmap\", null, {'v:ext':\"edit\", 'data':rId}), {'v:ext':\"edit\"}),\n\t\twritextag(\"v:shapetype\", [\n\t\t\twritextag(\"v:stroke\", null, {joinstyle:\"miter\"}),\n\t\t\twritextag(\"v:path\", null, {gradientshapeok:\"t\", 'o:connecttype':\"rect\"})\n\t\t].join(\"\"), {id:\"_x0000_t202\", 'o:spt':202, coordsize:csize.join(\",\"),path:bbox})\n\t];\n\twhile(_shapeid < rId * 1000) _shapeid += 1000;\n\n\tcomments.forEach(function(x) {\n\tvar c = decode_cell(x[0]);\n\tvar fillopts = {'color2':\"#BEFF82\", 'type':\"gradient\"};\n\tif(fillopts.type == \"gradient\") fillopts.angle = \"-180\";\n\tvar fillparm = fillopts.type == \"gradient\" ? writextag(\"o:fill\", null, {type:\"gradientUnscaled\", 'v:ext':\"view\"}) : null;\n\tvar fillxml = writextag('v:fill', fillparm, fillopts);\n\n\tvar shadata = ({on:\"t\", 'obscured':\"t\"});\n\t++_shapeid;\n\n\to = o.concat([\n\t'',\n\t\tfillxml,\n\t\twritextag(\"v:shadow\", null, shadata),\n\t\twritextag(\"v:path\", null, {'o:connecttype':\"none\"}),\n\t\t'
',\n\t\t'',\n\t\t\t'',\n\t\t\t'',\n\t\t\t/* Part 4 19.4.2.3 Anchor (Anchor) */\n\t\t\twritetag('x:Anchor', [c.c+1, 0, c.r+1, 0, c.c+3, 20, c.r+5, 20].join(\",\")),\n\t\t\twritetag('x:AutoFill', \"False\"),\n\t\t\twritetag('x:Row', String(c.r)),\n\t\t\twritetag('x:Column', String(c.c)),\n\t\t\tx[1].hidden ? '' : '',\n\t\t'',\n\t''\n\t]); });\n\to.push('');\n\treturn o.join(\"\");\n}\nRELS.CMNT = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/comments\";\n\nfunction sheet_insert_comments(sheet, comments) {\n\tvar dense = Array.isArray(sheet);\n\tvar cell;\n\tcomments.forEach(function(comment) {\n\t\tvar r = decode_cell(comment.ref);\n\t\tif(dense) {\n\t\t\tif(!sheet[r.r]) sheet[r.r] = [];\n\t\t\tcell = sheet[r.r][r.c];\n\t\t} else cell = sheet[comment.ref];\n\t\tif (!cell) {\n\t\t\tcell = ({t:\"z\"});\n\t\t\tif(dense) sheet[r.r][r.c] = cell;\n\t\t\telse sheet[comment.ref] = cell;\n\t\t\tvar range = safe_decode_range(sheet[\"!ref\"]||\"BDWGO1000001:A1\");\n\t\t\tif(range.s.r > r.r) range.s.r = r.r;\n\t\t\tif(range.e.r < r.r) range.e.r = r.r;\n\t\t\tif(range.s.c > r.c) range.s.c = r.c;\n\t\t\tif(range.e.c < r.c) range.e.c = r.c;\n\t\t\tvar encoded = encode_range(range);\n\t\t\tif (encoded !== sheet[\"!ref\"]) sheet[\"!ref\"] = encoded;\n\t\t}\n\n\t\tif (!cell.c) cell.c = [];\n\t\tvar o = ({a: comment.author, t: comment.t, r: comment.r});\n\t\tif(comment.h) o.h = comment.h;\n\t\tcell.c.push(o);\n\t});\n}\n\n/* 18.7 Comments */\nfunction parse_comments_xml(data, opts) {\n\t/* 18.7.6 CT_Comments */\n\tif(data.match(/<(?:\\w+:)?comments *\\/>/)) return [];\n\tvar authors = [];\n\tvar commentList = [];\n\tvar authtag = data.match(/<(?:\\w+:)?authors>([\\s\\S]*)<\\/(?:\\w+:)?authors>/);\n\tif(authtag && authtag[1]) authtag[1].split(/<\\/\\w*:?author>/).forEach(function(x) {\n\t\tif(x === \"\" || x.trim() === \"\") return;\n\t\tvar a = x.match(/<(?:\\w+:)?author[^>]*>(.*)/);\n\t\tif(a) authors.push(a[1]);\n\t});\n\tvar cmnttag = data.match(/<(?:\\w+:)?commentList>([\\s\\S]*)<\\/(?:\\w+:)?commentList>/);\n\tif(cmnttag && cmnttag[1]) cmnttag[1].split(/<\\/\\w*:?comment>/).forEach(function(x) {\n\t\tif(x === \"\" || x.trim() === \"\") return;\n\t\tvar cm = x.match(/<(?:\\w+:)?comment[^>]*>/);\n\t\tif(!cm) return;\n\t\tvar y = parsexmltag(cm[0]);\n\t\tvar comment = ({ author: y.authorId && authors[y.authorId] || \"sheetjsghost\", ref: y.ref, guid: y.guid });\n\t\tvar cell = decode_cell(y.ref);\n\t\tif(opts.sheetRows && opts.sheetRows <= cell.r) return;\n\t\tvar textMatch = x.match(/<(?:\\w+:)?text>([\\s\\S]*)<\\/(?:\\w+:)?text>/);\n\t\tvar rt = !!textMatch && !!textMatch[1] && parse_si(textMatch[1]) || {r:\"\",t:\"\",h:\"\"};\n\t\tcomment.r = rt.r;\n\t\tif(rt.r == \"\") rt.t = rt.h = \"\";\n\t\tcomment.t = rt.t.replace(/\\r\\n/g,\"\\n\").replace(/\\r/g,\"\\n\");\n\t\tif(opts.cellHTML) comment.h = rt.h;\n\t\tcommentList.push(comment);\n\t});\n\treturn commentList;\n}\n\nvar CMNT_XML_ROOT = writextag('comments', null, { 'xmlns': XMLNS.main[0] });\nfunction write_comments_xml(data) {\n\tvar o = [XML_HEADER, CMNT_XML_ROOT];\n\n\tvar iauthor = [];\n\to.push(\"\");\n\tdata.forEach(function(x) { x[1].forEach(function(w) { var a = escapexml(w.a);\n\t\tif(iauthor.indexOf(a) > -1) return;\n\t\tiauthor.push(a);\n\t\to.push(\"\" + a + \"\");\n\t}); });\n\to.push(\"\");\n\to.push(\"\");\n\tdata.forEach(function(d) {\n\t\td[1].forEach(function(c) {\n\t\t\t/* 18.7.3 CT_Comment */\n\t\t\to.push('');\n\t\t\to.push(writetag(\"t\", c.t == null ? \"\" : escapexml(c.t)));\n\t\t\to.push('');\n\t\t});\n\t});\n\to.push(\"\");\n\tif(o.length>2) { o[o.length] = (''); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.28 BrtBeginComment */\nfunction parse_BrtBeginComment(data) {\n\tvar out = {};\n\tout.iauthor = data.read_shift(4);\n\tvar rfx = parse_UncheckedRfX(data, 16);\n\tout.rfx = rfx.s;\n\tout.ref = encode_cell(rfx.s);\n\tdata.l += 16; /*var guid = parse_GUID(data); */\n\treturn out;\n}\nfunction write_BrtBeginComment(data, o) {\n\tif(o == null) o = new_buf(36);\n\to.write_shift(4, data[1].iauthor);\n\twrite_UncheckedRfX((data[0]), o);\n\to.write_shift(4, 0);\n\to.write_shift(4, 0);\n\to.write_shift(4, 0);\n\to.write_shift(4, 0);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.327 BrtCommentAuthor */\nvar parse_BrtCommentAuthor = parse_XLWideString;\nfunction write_BrtCommentAuthor(data) { return write_XLWideString(data.slice(0, 54)); }\n\n/* [MS-XLSB] 2.1.7.8 Comments */\nfunction parse_comments_bin(data, opts) {\n\tvar out = [];\n\tvar authors = [];\n\tvar c = {};\n\tvar pass = false;\n\trecordhopper(data, function hopper_cmnt(val, R_n, RT) {\n\t\tswitch(RT) {\n\t\t\tcase 0x0278: /* 'BrtCommentAuthor' */\n\t\t\t\tauthors.push(val); break;\n\t\t\tcase 0x027B: /* 'BrtBeginComment' */\n\t\t\t\tc = val; break;\n\t\t\tcase 0x027D: /* 'BrtCommentText' */\n\t\t\t\tc.t = val.t; c.h = val.h; c.r = val.r; break;\n\t\t\tcase 0x027C: /* 'BrtEndComment' */\n\t\t\t\tc.author = authors[c.iauthor];\n\t\t\t\tdelete (c).iauthor;\n\t\t\t\tif(opts.sheetRows && c.rfx && opts.sheetRows <= c.rfx.r) break;\n\t\t\t\tif(!c.t) c.t = \"\";\n\t\t\t\tdelete c.rfx; out.push(c); break;\n\n\t\t\tcase 0x0C00: /* 'BrtUid' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\t\t\tcase 0x0025: /* 'BrtACBegin' */ break;\n\t\t\tcase 0x0026: /* 'BrtACEnd' */ break;\n\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0){/* empty */}\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0){/* empty */}\n\t\t\t\telse if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t});\n\treturn out;\n}\n\nfunction write_comments_bin(data) {\n\tvar ba = buf_array();\n\tvar iauthor = [];\n\twrite_record(ba, \"BrtBeginComments\");\n\n\twrite_record(ba, \"BrtBeginCommentAuthors\");\n\tdata.forEach(function(comment) {\n\t\tcomment[1].forEach(function(c) {\n\t\t\tif(iauthor.indexOf(c.a) > -1) return;\n\t\t\tiauthor.push(c.a.slice(0,54));\n\t\t\twrite_record(ba, \"BrtCommentAuthor\", write_BrtCommentAuthor(c.a));\n\t\t});\n\t});\n\twrite_record(ba, \"BrtEndCommentAuthors\");\n\n\twrite_record(ba, \"BrtBeginCommentList\");\n\tdata.forEach(function(comment) {\n\t\tcomment[1].forEach(function(c) {\n\t\t\tc.iauthor = iauthor.indexOf(c.a);\n\t\t\tvar range = {s:decode_cell(comment[0]),e:decode_cell(comment[0])};\n\t\t\twrite_record(ba, \"BrtBeginComment\", write_BrtBeginComment([range, c]));\n\t\t\tif(c.t && c.t.length > 0) write_record(ba, \"BrtCommentText\", write_BrtCommentText(c));\n\t\t\twrite_record(ba, \"BrtEndComment\");\n\t\t\tdelete c.iauthor;\n\t\t});\n\t});\n\twrite_record(ba, \"BrtEndCommentList\");\n\n\twrite_record(ba, \"BrtEndComments\");\n\treturn ba.end();\n}\nvar CT_VBA = \"application/vnd.ms-office.vbaProject\";\nfunction make_vba_xls(cfb) {\n\tvar newcfb = CFB.utils.cfb_new({root:\"R\"});\n\tcfb.FullPaths.forEach(function(p, i) {\n\t\tif(p.slice(-1) === \"/\" || !p.match(/_VBA_PROJECT_CUR/)) return;\n\t\tvar newpath = p.replace(/^[^\\/]*/,\"R\").replace(/\\/_VBA_PROJECT_CUR\\u0000*/, \"\");\n\t\tCFB.utils.cfb_add(newcfb, newpath, cfb.FileIndex[i].content);\n\t});\n\treturn CFB.write(newcfb);\n}\n\nfunction fill_vba_xls(cfb, vba) {\n\tvba.FullPaths.forEach(function(p, i) {\n\t\tif(i == 0) return;\n\t\tvar newpath = p.replace(/[^\\/]*[\\/]/, \"/_VBA_PROJECT_CUR/\");\n\t\tif(newpath.slice(-1) !== \"/\") CFB.utils.cfb_add(cfb, newpath, vba.FileIndex[i].content);\n\t});\n}\n\nvar VBAFMTS = [ \"xlsb\", \"xlsm\", \"xlam\", \"biff8\", \"xla\" ];\n\nRELS.DS = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/dialogsheet\";\nRELS.MS = \"http://schemas.microsoft.com/office/2006/relationships/xlMacrosheet\";\n\n/* macro and dialog sheet stubs */\nfunction parse_ds_bin() { return {'!type':'dialog'}; }\nfunction parse_ds_xml() { return {'!type':'dialog'}; }\nfunction parse_ms_bin() { return {'!type':'macro'}; }\nfunction parse_ms_xml() { return {'!type':'macro'}; }\n/* TODO: it will be useful to parse the function str */\nvar rc_to_a1 = (function(){\n\tvar rcregex = /(^|[^A-Za-z_])R(\\[?-?\\d+\\]|[1-9]\\d*|)C(\\[?-?\\d+\\]|[1-9]\\d*|)(?![A-Za-z0-9_])/g;\n\tvar rcbase = ({r:0,c:0});\n\tfunction rcfunc($$,$1,$2,$3) {\n\t\tvar cRel = false, rRel = false;\n\n\t\tif($2.length == 0) rRel = true;\n\t\telse if($2.charAt(0) == \"[\") { rRel = true; $2 = $2.slice(1, -1); }\n\n\t\tif($3.length == 0) cRel = true;\n\t\telse if($3.charAt(0) == \"[\") { cRel = true; $3 = $3.slice(1, -1); }\n\n\t\tvar R = $2.length>0?parseInt($2,10)|0:0, C = $3.length>0?parseInt($3,10)|0:0;\n\n\t\tif(cRel) C += rcbase.c; else --C;\n\t\tif(rRel) R += rcbase.r; else --R;\n\t\treturn $1 + (cRel ? \"\" : \"$\") + encode_col(C) + (rRel ? \"\" : \"$\") + encode_row(R);\n\t}\n\treturn function rc_to_a1(fstr, base) {\n\t\trcbase = base;\n\t\treturn fstr.replace(rcregex, rcfunc);\n\t};\n})();\n\nvar crefregex = /(^|[^._A-Z0-9])([$]?)([A-Z]{1,2}|[A-W][A-Z]{2}|X[A-E][A-Z]|XF[A-D])([$]?)(10[0-3]\\d{4}|104[0-7]\\d{3}|1048[0-4]\\d{2}|10485[0-6]\\d|104857[0-6]|[1-9]\\d{0,5})(?![_.\\(A-Za-z0-9])/g;\nvar a1_to_rc =(function(){\n\treturn function a1_to_rc(fstr, base) {\n\t\treturn fstr.replace(crefregex, function($0, $1, $2, $3, $4, $5) {\n\t\t\tvar c = decode_col($3) - ($2 ? 0 : base.c);\n\t\t\tvar r = decode_row($5) - ($4 ? 0 : base.r);\n\t\t\tvar R = (r == 0 ? \"\" : !$4 ? \"[\" + r + \"]\" : (r+1));\n\t\t\tvar C = (c == 0 ? \"\" : !$2 ? \"[\" + c + \"]\" : (c+1));\n\t\t\treturn $1 + \"R\" + R + \"C\" + C;\n\t\t});\n\t};\n})();\n\n/* no defined name can collide with a valid cell address A1:XFD1048576 ... except LOG10! */\nfunction shift_formula_str(f, delta) {\n\treturn f.replace(crefregex, function($0, $1, $2, $3, $4, $5) {\n\t\treturn $1+($2==\"$\" ? $2+$3 : encode_col(decode_col($3)+delta.c))+($4==\"$\" ? $4+$5 : encode_row(decode_row($5) + delta.r));\n\t});\n}\n\nfunction shift_formula_xlsx(f, range, cell) {\n\tvar r = decode_range(range), s = r.s, c = decode_cell(cell);\n\tvar delta = {r:c.r - s.r, c:c.c - s.c};\n\treturn shift_formula_str(f, delta);\n}\n\n/* TODO: parse formula */\nfunction fuzzyfmla(f) {\n\tif(f.length == 1) return false;\n\treturn true;\n}\n\nfunction _xlfn(f) {\n\treturn f.replace(/_xlfn\\./g,\"\");\n}\nfunction parseread1(blob) { blob.l+=1; return; }\n\n/* [MS-XLS] 2.5.51 */\nfunction parse_ColRelU(blob, length) {\n\tvar c = blob.read_shift(length == 1 ? 1 : 2);\n\treturn [c & 0x3FFF, (c >> 14) & 1, (c >> 15) & 1];\n}\n\n/* [MS-XLS] 2.5.198.105 ; [MS-XLSB] 2.5.97.89 */\nfunction parse_RgceArea(blob, length, opts) {\n\tvar w = 2;\n\tif(opts) {\n\t\tif(opts.biff >= 2 && opts.biff <= 5) return parse_RgceArea_BIFF2(blob, length, opts);\n\t\telse if(opts.biff == 12) w = 4;\n\t}\n\tvar r=blob.read_shift(w), R=blob.read_shift(w);\n\tvar c=parse_ColRelU(blob, 2);\n\tvar C=parse_ColRelU(blob, 2);\n\treturn { s:{r:r, c:c[0], cRel:c[1], rRel:c[2]}, e:{r:R, c:C[0], cRel:C[1], rRel:C[2]} };\n}\n/* BIFF 2-5 encodes flags in the row field */\nfunction parse_RgceArea_BIFF2(blob) {\n\tvar r=parse_ColRelU(blob, 2), R=parse_ColRelU(blob, 2);\n\tvar c=blob.read_shift(1);\n\tvar C=blob.read_shift(1);\n\treturn { s:{r:r[0], c:c, cRel:r[1], rRel:r[2]}, e:{r:R[0], c:C, cRel:R[1], rRel:R[2]} };\n}\n\n/* [MS-XLS] 2.5.198.105 ; [MS-XLSB] 2.5.97.90 */\nfunction parse_RgceAreaRel(blob, length, opts) {\n\tif(opts.biff < 8) return parse_RgceArea_BIFF2(blob, length, opts);\n\tvar r=blob.read_shift(opts.biff == 12 ? 4 : 2), R=blob.read_shift(opts.biff == 12 ? 4 : 2);\n\tvar c=parse_ColRelU(blob, 2);\n\tvar C=parse_ColRelU(blob, 2);\n\treturn { s:{r:r, c:c[0], cRel:c[1], rRel:c[2]}, e:{r:R, c:C[0], cRel:C[1], rRel:C[2]} };\n}\n\n/* [MS-XLS] 2.5.198.109 ; [MS-XLSB] 2.5.97.91 */\nfunction parse_RgceLoc(blob, length, opts) {\n\tif(opts && opts.biff >= 2 && opts.biff <= 5) return parse_RgceLoc_BIFF2(blob, length, opts);\n\tvar r = blob.read_shift(opts && opts.biff == 12 ? 4 : 2);\n\tvar c = parse_ColRelU(blob, 2);\n\treturn {r:r, c:c[0], cRel:c[1], rRel:c[2]};\n}\nfunction parse_RgceLoc_BIFF2(blob) {\n\tvar r = parse_ColRelU(blob, 2);\n\tvar c = blob.read_shift(1);\n\treturn {r:r[0], c:c, cRel:r[1], rRel:r[2]};\n}\n\n/* [MS-XLS] 2.5.198.107, 2.5.47 */\nfunction parse_RgceElfLoc(blob) {\n\tvar r = blob.read_shift(2);\n\tvar c = blob.read_shift(2);\n\treturn {r:r, c:c & 0xFF, fQuoted:!!(c & 0x4000), cRel:c>>15, rRel:c>>15 };\n}\n\n/* [MS-XLS] 2.5.198.111 ; [MS-XLSB] 2.5.97.92 TODO */\nfunction parse_RgceLocRel(blob, length, opts) {\n\tvar biff = opts && opts.biff ? opts.biff : 8;\n\tif(biff >= 2 && biff <= 5) return parse_RgceLocRel_BIFF2(blob, length, opts);\n\tvar r = blob.read_shift(biff >= 12 ? 4 : 2);\n\tvar cl = blob.read_shift(2);\n\tvar cRel = (cl & 0x4000) >> 14, rRel = (cl & 0x8000) >> 15;\n\tcl &= 0x3FFF;\n\tif(rRel == 1) while(r > 0x7FFFF) r -= 0x100000;\n\tif(cRel == 1) while(cl > 0x1FFF) cl = cl - 0x4000;\n\treturn {r:r,c:cl,cRel:cRel,rRel:rRel};\n}\nfunction parse_RgceLocRel_BIFF2(blob) {\n\tvar rl = blob.read_shift(2);\n\tvar c = blob.read_shift(1);\n\tvar rRel = (rl & 0x8000) >> 15, cRel = (rl & 0x4000) >> 14;\n\trl &= 0x3FFF;\n\tif(rRel == 1 && rl >= 0x2000) rl = rl - 0x4000;\n\tif(cRel == 1 && c >= 0x80) c = c - 0x100;\n\treturn {r:rl,c:c,cRel:cRel,rRel:rRel};\n}\n\n/* [MS-XLS] 2.5.198.27 ; [MS-XLSB] 2.5.97.18 */\nfunction parse_PtgArea(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar area = parse_RgceArea(blob, opts.biff >= 2 && opts.biff <= 5 ? 6 : 8, opts);\n\treturn [type, area];\n}\n\n/* [MS-XLS] 2.5.198.28 ; [MS-XLSB] 2.5.97.19 */\nfunction parse_PtgArea3d(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar ixti = blob.read_shift(2, 'i');\n\tvar w = 8;\n\tif(opts) switch(opts.biff) {\n\t\tcase 5: blob.l += 12; w = 6; break;\n\t\tcase 12: w = 12; break;\n\t}\n\tvar area = parse_RgceArea(blob, w, opts);\n\treturn [type, ixti, area];\n}\n\n/* [MS-XLS] 2.5.198.29 ; [MS-XLSB] 2.5.97.20 */\nfunction parse_PtgAreaErr(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tblob.l += opts && (opts.biff > 8) ? 12 : (opts.biff < 8 ? 6 : 8);\n\treturn [type];\n}\n/* [MS-XLS] 2.5.198.30 ; [MS-XLSB] 2.5.97.21 */\nfunction parse_PtgAreaErr3d(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar ixti = blob.read_shift(2);\n\tvar w = 8;\n\tif(opts) switch(opts.biff) {\n\t\tcase 5: blob.l += 12; w = 6; break;\n\t\tcase 12: w = 12; break;\n\t}\n\tblob.l += w;\n\treturn [type, ixti];\n}\n\n/* [MS-XLS] 2.5.198.31 ; [MS-XLSB] 2.5.97.22 */\nfunction parse_PtgAreaN(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar area = parse_RgceAreaRel(blob, length - 1, opts);\n\treturn [type, area];\n}\n\n/* [MS-XLS] 2.5.198.32 ; [MS-XLSB] 2.5.97.23 */\nfunction parse_PtgArray(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tblob.l += opts.biff == 2 ? 6 : opts.biff == 12 ? 14 : 7;\n\treturn [type];\n}\n\n/* [MS-XLS] 2.5.198.33 ; [MS-XLSB] 2.5.97.24 */\nfunction parse_PtgAttrBaxcel(blob) {\n\tvar bitSemi = blob[blob.l+1] & 0x01; /* 1 = volatile */\n\tvar bitBaxcel = 1;\n\tblob.l += 4;\n\treturn [bitSemi, bitBaxcel];\n}\n\n/* [MS-XLS] 2.5.198.34 ; [MS-XLSB] 2.5.97.25 */\nfunction parse_PtgAttrChoose(blob, length, opts) {\n\tblob.l +=2;\n\tvar offset = blob.read_shift(opts && opts.biff == 2 ? 1 : 2);\n\tvar o = [];\n\t/* offset is 1 less than the number of elements */\n\tfor(var i = 0; i <= offset; ++i) o.push(blob.read_shift(opts && opts.biff == 2 ? 1 : 2));\n\treturn o;\n}\n\n/* [MS-XLS] 2.5.198.35 ; [MS-XLSB] 2.5.97.26 */\nfunction parse_PtgAttrGoto(blob, length, opts) {\n\tvar bitGoto = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += 2;\n\treturn [bitGoto, blob.read_shift(opts && opts.biff == 2 ? 1 : 2)];\n}\n\n/* [MS-XLS] 2.5.198.36 ; [MS-XLSB] 2.5.97.27 */\nfunction parse_PtgAttrIf(blob, length, opts) {\n\tvar bitIf = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += 2;\n\treturn [bitIf, blob.read_shift(opts && opts.biff == 2 ? 1 : 2)];\n}\n\n/* [MS-XLSB] 2.5.97.28 */\nfunction parse_PtgAttrIfError(blob) {\n\tvar bitIf = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += 2;\n\treturn [bitIf, blob.read_shift(2)];\n}\n\n/* [MS-XLS] 2.5.198.37 ; [MS-XLSB] 2.5.97.29 */\nfunction parse_PtgAttrSemi(blob, length, opts) {\n\tvar bitSemi = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += opts && opts.biff == 2 ? 3 : 4;\n\treturn [bitSemi];\n}\n\n/* [MS-XLS] 2.5.198.40 ; [MS-XLSB] 2.5.97.32 */\nfunction parse_PtgAttrSpaceType(blob) {\n\tvar type = blob.read_shift(1), cch = blob.read_shift(1);\n\treturn [type, cch];\n}\n\n/* [MS-XLS] 2.5.198.38 ; [MS-XLSB] 2.5.97.30 */\nfunction parse_PtgAttrSpace(blob) {\n\tblob.read_shift(2);\n\treturn parse_PtgAttrSpaceType(blob, 2);\n}\n\n/* [MS-XLS] 2.5.198.39 ; [MS-XLSB] 2.5.97.31 */\nfunction parse_PtgAttrSpaceSemi(blob) {\n\tblob.read_shift(2);\n\treturn parse_PtgAttrSpaceType(blob, 2);\n}\n\n/* [MS-XLS] 2.5.198.84 ; [MS-XLSB] 2.5.97.68 TODO */\nfunction parse_PtgRef(blob, length, opts) {\n\t//var ptg = blob[blob.l] & 0x1F;\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar loc = parse_RgceLoc(blob, 0, opts);\n\treturn [type, loc];\n}\n\n/* [MS-XLS] 2.5.198.88 ; [MS-XLSB] 2.5.97.72 TODO */\nfunction parse_PtgRefN(blob, length, opts) {\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar loc = parse_RgceLocRel(blob, 0, opts);\n\treturn [type, loc];\n}\n\n/* [MS-XLS] 2.5.198.85 ; [MS-XLSB] 2.5.97.69 TODO */\nfunction parse_PtgRef3d(blob, length, opts) {\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar ixti = blob.read_shift(2); // XtiIndex\n\tif(opts && opts.biff == 5) blob.l += 12;\n\tvar loc = parse_RgceLoc(blob, 0, opts); // TODO: or RgceLocRel\n\treturn [type, ixti, loc];\n}\n\n\n/* [MS-XLS] 2.5.198.62 ; [MS-XLSB] 2.5.97.45 TODO */\nfunction parse_PtgFunc(blob, length, opts) {\n\t//var ptg = blob[blob.l] & 0x1F;\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar iftab = blob.read_shift(opts && opts.biff <= 3 ? 1 : 2);\n\treturn [FtabArgc[iftab], Ftab[iftab], type];\n}\n/* [MS-XLS] 2.5.198.63 ; [MS-XLSB] 2.5.97.46 TODO */\nfunction parse_PtgFuncVar(blob, length, opts) {\n\tvar type = blob[blob.l++];\n\tvar cparams = blob.read_shift(1), tab = opts && opts.biff <= 3 ? [(type == 0x58 ? -1 : 0), blob.read_shift(1)]: parsetab(blob);\n\treturn [cparams, (tab[0] === 0 ? Ftab : Cetab)[tab[1]]];\n}\n\nfunction parsetab(blob) {\n\treturn [blob[blob.l+1]>>7, blob.read_shift(2) & 0x7FFF];\n}\n\n/* [MS-XLS] 2.5.198.41 ; [MS-XLSB] 2.5.97.33 */\nfunction parse_PtgAttrSum(blob, length, opts) {\n\tblob.l += opts && opts.biff == 2 ? 3 : 4; return;\n}\n\n/* [MS-XLS] 2.5.198.58 ; [MS-XLSB] 2.5.97.40 */\nfunction parse_PtgExp(blob, length, opts) {\n\tblob.l++;\n\tif(opts && opts.biff == 12) return [blob.read_shift(4, 'i'), 0];\n\tvar row = blob.read_shift(2);\n\tvar col = blob.read_shift(opts && opts.biff == 2 ? 1 : 2);\n\treturn [row, col];\n}\n\n/* [MS-XLS] 2.5.198.57 ; [MS-XLSB] 2.5.97.39 */\nfunction parse_PtgErr(blob) { blob.l++; return BErr[blob.read_shift(1)]; }\n\n/* [MS-XLS] 2.5.198.66 ; [MS-XLSB] 2.5.97.49 */\nfunction parse_PtgInt(blob) { blob.l++; return blob.read_shift(2); }\n\n/* [MS-XLS] 2.5.198.42 ; [MS-XLSB] 2.5.97.34 */\nfunction parse_PtgBool(blob) { blob.l++; return blob.read_shift(1)!==0;}\n\n/* [MS-XLS] 2.5.198.79 ; [MS-XLSB] 2.5.97.63 */\nfunction parse_PtgNum(blob) { blob.l++; return parse_Xnum(blob, 8); }\n\n/* [MS-XLS] 2.5.198.89 ; [MS-XLSB] 2.5.97.74 */\nfunction parse_PtgStr(blob, length, opts) { blob.l++; return parse_ShortXLUnicodeString(blob, length-1, opts); }\n\n/* [MS-XLS] 2.5.192.112 + 2.5.192.11{3,4,5,6,7} */\n/* [MS-XLSB] 2.5.97.93 + 2.5.97.9{4,5,6,7} */\nfunction parse_SerAr(blob, biff) {\n\tvar val = [blob.read_shift(1)];\n\tif(biff == 12) switch(val[0]) {\n\t\tcase 0x02: val[0] = 0x04; break; /* SerBool */\n\t\tcase 0x04: val[0] = 0x10; break; /* SerErr */\n\t\tcase 0x00: val[0] = 0x01; break; /* SerNum */\n\t\tcase 0x01: val[0] = 0x02; break; /* SerStr */\n\t}\n\tswitch(val[0]) {\n\t\tcase 0x04: /* SerBool -- boolean */\n\t\t\tval[1] = parsebool(blob, 1) ? 'TRUE' : 'FALSE';\n\t\t\tif(biff != 12) blob.l += 7; break;\n\t\tcase 0x25: /* appears to be an alias */\n\t\tcase 0x10: /* SerErr -- error */\n\t\t\tval[1] = BErr[blob[blob.l]];\n\t\t\tblob.l += ((biff == 12) ? 4 : 8); break;\n\t\tcase 0x00: /* SerNil -- honestly, I'm not sure how to reproduce this */\n\t\t\tblob.l += 8; break;\n\t\tcase 0x01: /* SerNum -- Xnum */\n\t\t\tval[1] = parse_Xnum(blob, 8); break;\n\t\tcase 0x02: /* SerStr -- XLUnicodeString (<256 chars) */\n\t\t\tval[1] = parse_XLUnicodeString2(blob, 0, {biff:biff > 0 && biff < 8 ? 2 : biff}); break;\n\t\tdefault: throw new Error(\"Bad SerAr: \" + val[0]); /* Unreachable */\n\t}\n\treturn val;\n}\n\n/* [MS-XLS] 2.5.198.61 ; [MS-XLSB] 2.5.97.44 */\nfunction parse_PtgExtraMem(blob, cce, opts) {\n\tvar count = blob.read_shift((opts.biff == 12) ? 4 : 2);\n\tvar out = [];\n\tfor(var i = 0; i != count; ++i) out.push(((opts.biff == 12) ? parse_UncheckedRfX : parse_Ref8U)(blob, 8));\n\treturn out;\n}\n\n/* [MS-XLS] 2.5.198.59 ; [MS-XLSB] 2.5.97.41 */\nfunction parse_PtgExtraArray(blob, length, opts) {\n\tvar rows = 0, cols = 0;\n\tif(opts.biff == 12) {\n\t\trows = blob.read_shift(4); // DRw\n\t\tcols = blob.read_shift(4); // DCol\n\t} else {\n\t\tcols = 1 + blob.read_shift(1); //DColByteU\n\t\trows = 1 + blob.read_shift(2); //DRw\n\t}\n\tif(opts.biff >= 2 && opts.biff < 8) { --rows; if(--cols == 0) cols = 0x100; }\n\t// $FlowIgnore\n\tfor(var i = 0, o = []; i != rows && (o[i] = []); ++i)\n\t\tfor(var j = 0; j != cols; ++j) o[i][j] = parse_SerAr(blob, opts.biff);\n\treturn o;\n}\n\n/* [MS-XLS] 2.5.198.76 ; [MS-XLSB] 2.5.97.60 */\nfunction parse_PtgName(blob, length, opts) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar w = (!opts || (opts.biff >= 8)) ? 4 : 2;\n\tvar nameindex = blob.read_shift(w);\n\tswitch(opts.biff) {\n\t\tcase 2: blob.l += 5; break;\n\t\tcase 3: case 4: blob.l += 8; break;\n\t\tcase 5: blob.l += 12; break;\n\t}\n\treturn [type, 0, nameindex];\n}\n\n/* [MS-XLS] 2.5.198.77 ; [MS-XLSB] 2.5.97.61 */\nfunction parse_PtgNameX(blob, length, opts) {\n\tif(opts.biff == 5) return parse_PtgNameX_BIFF5(blob, length, opts);\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar ixti = blob.read_shift(2); // XtiIndex\n\tvar nameindex = blob.read_shift(4);\n\treturn [type, ixti, nameindex];\n}\nfunction parse_PtgNameX_BIFF5(blob) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar ixti = blob.read_shift(2, 'i'); // XtiIndex\n\tblob.l += 8;\n\tvar nameindex = blob.read_shift(2);\n\tblob.l += 12;\n\treturn [type, ixti, nameindex];\n}\n\n/* [MS-XLS] 2.5.198.70 ; [MS-XLSB] 2.5.97.54 */\nfunction parse_PtgMemArea(blob, length, opts) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tblob.l += (opts && opts.biff == 2 ? 3 : 4);\n\tvar cce = blob.read_shift(opts && opts.biff == 2 ? 1 : 2);\n\treturn [type, cce];\n}\n\n/* [MS-XLS] 2.5.198.72 ; [MS-XLSB] 2.5.97.56 */\nfunction parse_PtgMemFunc(blob, length, opts) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar cce = blob.read_shift(opts && opts.biff == 2 ? 1 : 2);\n\treturn [type, cce];\n}\n\n\n/* [MS-XLS] 2.5.198.86 ; [MS-XLSB] 2.5.97.69 */\nfunction parse_PtgRefErr(blob, length, opts) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tblob.l += 4;\n\tif(opts.biff < 8) blob.l--;\n\tif(opts.biff == 12) blob.l += 2;\n\treturn [type];\n}\n\n/* [MS-XLS] 2.5.198.87 ; [MS-XLSB] 2.5.97.71 */\nfunction parse_PtgRefErr3d(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar ixti = blob.read_shift(2);\n\tvar w = 4;\n\tif(opts) switch(opts.biff) {\n\t\tcase 5: w = 15; break;\n\t\tcase 12: w = 6; break;\n\t}\n\tblob.l += w;\n\treturn [type, ixti];\n}\n\n/* [MS-XLS] 2.5.198.71 ; [MS-XLSB] 2.5.97.55 */\nvar parse_PtgMemErr = parsenoop;\n/* [MS-XLS] 2.5.198.73 ; [MS-XLSB] 2.5.97.57 */\nvar parse_PtgMemNoMem = parsenoop;\n/* [MS-XLS] 2.5.198.92 */\nvar parse_PtgTbl = parsenoop;\n\nfunction parse_PtgElfLoc(blob, length, opts) {\n\tblob.l += 2;\n\treturn [parse_RgceElfLoc(blob, 4, opts)];\n}\nfunction parse_PtgElfNoop(blob) {\n\tblob.l += 6;\n\treturn [];\n}\n/* [MS-XLS] 2.5.198.46 */\nvar parse_PtgElfCol = parse_PtgElfLoc;\n/* [MS-XLS] 2.5.198.47 */\nvar parse_PtgElfColS = parse_PtgElfNoop;\n/* [MS-XLS] 2.5.198.48 */\nvar parse_PtgElfColSV = parse_PtgElfNoop;\n/* [MS-XLS] 2.5.198.49 */\nvar parse_PtgElfColV = parse_PtgElfLoc;\n/* [MS-XLS] 2.5.198.50 */\nfunction parse_PtgElfLel(blob) {\n\tblob.l += 2;\n\treturn [parseuint16(blob), blob.read_shift(2) & 0x01];\n}\n/* [MS-XLS] 2.5.198.51 */\nvar parse_PtgElfRadical = parse_PtgElfLoc;\n/* [MS-XLS] 2.5.198.52 */\nvar parse_PtgElfRadicalLel = parse_PtgElfLel;\n/* [MS-XLS] 2.5.198.53 */\nvar parse_PtgElfRadicalS = parse_PtgElfNoop;\n/* [MS-XLS] 2.5.198.54 */\nvar parse_PtgElfRw = parse_PtgElfLoc;\n/* [MS-XLS] 2.5.198.55 */\nvar parse_PtgElfRwV = parse_PtgElfLoc;\n\n/* [MS-XLSB] 2.5.97.52 TODO */\nvar PtgListRT = [\n\t\"Data\",\n\t\"All\",\n\t\"Headers\",\n\t\"??\",\n\t\"?Data2\",\n\t\"??\",\n\t\"?DataHeaders\",\n\t\"??\",\n\t\"Totals\",\n\t\"??\",\n\t\"??\",\n\t\"??\",\n\t\"?DataTotals\",\n\t\"??\",\n\t\"??\",\n\t\"??\",\n\t\"?Current\"\n];\nfunction parse_PtgList(blob) {\n\tblob.l += 2;\n\tvar ixti = blob.read_shift(2);\n\tvar flags = blob.read_shift(2);\n\tvar idx = blob.read_shift(4);\n\tvar c = blob.read_shift(2);\n\tvar C = blob.read_shift(2);\n\tvar rt = PtgListRT[(flags >> 2) & 0x1F];\n\treturn {ixti: ixti, coltype:(flags&0x3), rt:rt, idx:idx, c:c, C:C};\n}\n/* [MS-XLS] 2.5.198.91 ; [MS-XLSB] 2.5.97.76 */\nfunction parse_PtgSxName(blob) {\n\tblob.l += 2;\n\treturn [blob.read_shift(4)];\n}\n\n/* [XLS] old spec */\nfunction parse_PtgSheet(blob, length, opts) {\n\tblob.l += 5;\n\tblob.l += 2;\n\tblob.l += (opts.biff == 2 ? 1 : 4);\n\treturn [\"PTGSHEET\"];\n}\nfunction parse_PtgEndSheet(blob, length, opts) {\n\tblob.l += (opts.biff == 2 ? 4 : 5);\n\treturn [\"PTGENDSHEET\"];\n}\nfunction parse_PtgMemAreaN(blob) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar cce = blob.read_shift(2);\n\treturn [type, cce];\n}\nfunction parse_PtgMemNoMemN(blob) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar cce = blob.read_shift(2);\n\treturn [type, cce];\n}\nfunction parse_PtgAttrNoop(blob) {\n\tblob.l += 4;\n\treturn [0, 0];\n}\n\n/* [MS-XLS] 2.5.198.25 ; [MS-XLSB] 2.5.97.16 */\nvar PtgTypes = {\n0x01: { n:'PtgExp', f:parse_PtgExp },\n0x02: { n:'PtgTbl', f:parse_PtgTbl },\n0x03: { n:'PtgAdd', f:parseread1 },\n0x04: { n:'PtgSub', f:parseread1 },\n0x05: { n:'PtgMul', f:parseread1 },\n0x06: { n:'PtgDiv', f:parseread1 },\n0x07: { n:'PtgPower', f:parseread1 },\n0x08: { n:'PtgConcat', f:parseread1 },\n0x09: { n:'PtgLt', f:parseread1 },\n0x0A: { n:'PtgLe', f:parseread1 },\n0x0B: { n:'PtgEq', f:parseread1 },\n0x0C: { n:'PtgGe', f:parseread1 },\n0x0D: { n:'PtgGt', f:parseread1 },\n0x0E: { n:'PtgNe', f:parseread1 },\n0x0F: { n:'PtgIsect', f:parseread1 },\n0x10: { n:'PtgUnion', f:parseread1 },\n0x11: { n:'PtgRange', f:parseread1 },\n0x12: { n:'PtgUplus', f:parseread1 },\n0x13: { n:'PtgUminus', f:parseread1 },\n0x14: { n:'PtgPercent', f:parseread1 },\n0x15: { n:'PtgParen', f:parseread1 },\n0x16: { n:'PtgMissArg', f:parseread1 },\n0x17: { n:'PtgStr', f:parse_PtgStr },\n0x1A: { n:'PtgSheet', f:parse_PtgSheet },\n0x1B: { n:'PtgEndSheet', f:parse_PtgEndSheet },\n0x1C: { n:'PtgErr', f:parse_PtgErr },\n0x1D: { n:'PtgBool', f:parse_PtgBool },\n0x1E: { n:'PtgInt', f:parse_PtgInt },\n0x1F: { n:'PtgNum', f:parse_PtgNum },\n0x20: { n:'PtgArray', f:parse_PtgArray },\n0x21: { n:'PtgFunc', f:parse_PtgFunc },\n0x22: { n:'PtgFuncVar', f:parse_PtgFuncVar },\n0x23: { n:'PtgName', f:parse_PtgName },\n0x24: { n:'PtgRef', f:parse_PtgRef },\n0x25: { n:'PtgArea', f:parse_PtgArea },\n0x26: { n:'PtgMemArea', f:parse_PtgMemArea },\n0x27: { n:'PtgMemErr', f:parse_PtgMemErr },\n0x28: { n:'PtgMemNoMem', f:parse_PtgMemNoMem },\n0x29: { n:'PtgMemFunc', f:parse_PtgMemFunc },\n0x2A: { n:'PtgRefErr', f:parse_PtgRefErr },\n0x2B: { n:'PtgAreaErr', f:parse_PtgAreaErr },\n0x2C: { n:'PtgRefN', f:parse_PtgRefN },\n0x2D: { n:'PtgAreaN', f:parse_PtgAreaN },\n0x2E: { n:'PtgMemAreaN', f:parse_PtgMemAreaN },\n0x2F: { n:'PtgMemNoMemN', f:parse_PtgMemNoMemN },\n0x39: { n:'PtgNameX', f:parse_PtgNameX },\n0x3A: { n:'PtgRef3d', f:parse_PtgRef3d },\n0x3B: { n:'PtgArea3d', f:parse_PtgArea3d },\n0x3C: { n:'PtgRefErr3d', f:parse_PtgRefErr3d },\n0x3D: { n:'PtgAreaErr3d', f:parse_PtgAreaErr3d },\n0xFF: {}\n};\n/* These are duplicated in the PtgTypes table */\nvar PtgDupes = {\n0x40: 0x20, 0x60: 0x20,\n0x41: 0x21, 0x61: 0x21,\n0x42: 0x22, 0x62: 0x22,\n0x43: 0x23, 0x63: 0x23,\n0x44: 0x24, 0x64: 0x24,\n0x45: 0x25, 0x65: 0x25,\n0x46: 0x26, 0x66: 0x26,\n0x47: 0x27, 0x67: 0x27,\n0x48: 0x28, 0x68: 0x28,\n0x49: 0x29, 0x69: 0x29,\n0x4A: 0x2A, 0x6A: 0x2A,\n0x4B: 0x2B, 0x6B: 0x2B,\n0x4C: 0x2C, 0x6C: 0x2C,\n0x4D: 0x2D, 0x6D: 0x2D,\n0x4E: 0x2E, 0x6E: 0x2E,\n0x4F: 0x2F, 0x6F: 0x2F,\n0x58: 0x22, 0x78: 0x22,\n0x59: 0x39, 0x79: 0x39,\n0x5A: 0x3A, 0x7A: 0x3A,\n0x5B: 0x3B, 0x7B: 0x3B,\n0x5C: 0x3C, 0x7C: 0x3C,\n0x5D: 0x3D, 0x7D: 0x3D\n};\n(function(){for(var y in PtgDupes) PtgTypes[y] = PtgTypes[PtgDupes[y]];})();\n\nvar Ptg18 = {\n0x01: { n:'PtgElfLel', f:parse_PtgElfLel },\n0x02: { n:'PtgElfRw', f:parse_PtgElfRw },\n0x03: { n:'PtgElfCol', f:parse_PtgElfCol },\n0x06: { n:'PtgElfRwV', f:parse_PtgElfRwV },\n0x07: { n:'PtgElfColV', f:parse_PtgElfColV },\n0x0A: { n:'PtgElfRadical', f:parse_PtgElfRadical },\n0x0B: { n:'PtgElfRadicalS', f:parse_PtgElfRadicalS },\n0x0D: { n:'PtgElfColS', f:parse_PtgElfColS },\n0x0F: { n:'PtgElfColSV', f:parse_PtgElfColSV },\n0x10: { n:'PtgElfRadicalLel', f:parse_PtgElfRadicalLel },\n0x19: { n:'PtgList', f:parse_PtgList },\n0x1D: { n:'PtgSxName', f:parse_PtgSxName },\n0xFF: {}\n};\nvar Ptg19 = {\n0x00: { n:'PtgAttrNoop', f:parse_PtgAttrNoop },\n0x01: { n:'PtgAttrSemi', f:parse_PtgAttrSemi },\n0x02: { n:'PtgAttrIf', f:parse_PtgAttrIf },\n0x04: { n:'PtgAttrChoose', f:parse_PtgAttrChoose },\n0x08: { n:'PtgAttrGoto', f:parse_PtgAttrGoto },\n0x10: { n:'PtgAttrSum', f:parse_PtgAttrSum },\n0x20: { n:'PtgAttrBaxcel', f:parse_PtgAttrBaxcel },\n0x40: { n:'PtgAttrSpace', f:parse_PtgAttrSpace },\n0x41: { n:'PtgAttrSpaceSemi', f:parse_PtgAttrSpaceSemi },\n0x80: { n:'PtgAttrIfError', f:parse_PtgAttrIfError },\n0xFF: {}\n};\nPtg19[0x21] = Ptg19[0x20];\n\n/* [MS-XLS] 2.5.198.103 ; [MS-XLSB] 2.5.97.87 */\nfunction parse_RgbExtra(blob, length, rgce, opts) {\n\tif(opts.biff < 8) return parsenoop(blob, length);\n\tvar target = blob.l + length;\n\tvar o = [];\n\tfor(var i = 0; i !== rgce.length; ++i) {\n\t\tswitch(rgce[i][0]) {\n\t\t\tcase 'PtgArray': /* PtgArray -> PtgExtraArray */\n\t\t\t\trgce[i][1] = parse_PtgExtraArray(blob, 0, opts);\n\t\t\t\to.push(rgce[i][1]);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgMemArea': /* PtgMemArea -> PtgExtraMem */\n\t\t\t\trgce[i][2] = parse_PtgExtraMem(blob, rgce[i][1], opts);\n\t\t\t\to.push(rgce[i][2]);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgExp': /* PtgExp -> PtgExtraCol */\n\t\t\t\tif(opts && opts.biff == 12) {\n\t\t\t\t\trgce[i][1][1] = blob.read_shift(4);\n\t\t\t\t\to.push(rgce[i][1]);\n\t\t\t\t} break;\n\t\t\tcase 'PtgList': /* TODO: PtgList -> PtgExtraList */\n\t\t\tcase 'PtgElfRadicalS': /* TODO: PtgElfRadicalS -> PtgExtraElf */\n\t\t\tcase 'PtgElfColS': /* TODO: PtgElfColS -> PtgExtraElf */\n\t\t\tcase 'PtgElfColSV': /* TODO: PtgElfColSV -> PtgExtraElf */\n\t\t\t\tthrow \"Unsupported \" + rgce[i][0];\n\t\t\tdefault: break;\n\t\t}\n\t}\n\tlength = target - blob.l;\n\t/* note: this is technically an error but Excel disregards */\n\t//if(target !== blob.l && blob.l !== target - length) throw new Error(target + \" != \" + blob.l);\n\tif(length !== 0) o.push(parsenoop(blob, length));\n\treturn o;\n}\n\n/* [MS-XLS] 2.5.198.104 ; [MS-XLSB] 2.5.97.88 */\nfunction parse_Rgce(blob, length, opts) {\n\tvar target = blob.l + length;\n\tvar R, id, ptgs = [];\n\twhile(target != blob.l) {\n\t\tlength = target - blob.l;\n\t\tid = blob[blob.l];\n\t\tR = PtgTypes[id];\n\t\tif(id === 0x18 || id === 0x19) R = (id === 0x18 ? Ptg18 : Ptg19)[blob[blob.l + 1]];\n\t\tif(!R || !R.f) { /*ptgs.push*/(parsenoop(blob, length)); }\n\t\telse { ptgs.push([R.n, R.f(blob, length, opts)]); }\n\t}\n\treturn ptgs;\n}\n\nfunction stringify_array(f) {\n\tvar o = [];\n\tfor(var i = 0; i < f.length; ++i) {\n\t\tvar x = f[i], r = [];\n\t\tfor(var j = 0; j < x.length; ++j) {\n\t\t\tvar y = x[j];\n\t\t\tif(y) switch(y[0]) {\n\t\t\t\t// TODO: handle embedded quotes\n\t\t\t\tcase 0x02:\nr.push('\"' + y[1].replace(/\"/g,'\"\"') + '\"'); break;\n\t\t\t\tdefault: r.push(y[1]);\n\t\t\t} else r.push(\"\");\n\t\t}\n\t\to.push(r.join(\",\"));\n\t}\n\treturn o.join(\";\");\n}\n\n/* [MS-XLS] 2.2.2 ; [MS-XLSB] 2.2.2 TODO */\nvar PtgBinOp = {\n\tPtgAdd: \"+\",\n\tPtgConcat: \"&\",\n\tPtgDiv: \"/\",\n\tPtgEq: \"=\",\n\tPtgGe: \">=\",\n\tPtgGt: \">\",\n\tPtgLe: \"<=\",\n\tPtgLt: \"<\",\n\tPtgMul: \"*\",\n\tPtgNe: \"<>\",\n\tPtgPower: \"^\",\n\tPtgSub: \"-\"\n};\n\n// List of invalid characters needs to be tested further\nvar quoteCharacters = new RegExp(/[^\\w\\u4E00-\\u9FFF\\u3040-\\u30FF]/);\nfunction formula_quote_sheet_name(sname, opts) {\n\tif(!sname && !(opts && opts.biff <= 5 && opts.biff >= 2)) throw new Error(\"empty sheet name\");\n\tif (quoteCharacters.test(sname)) return \"'\" + sname + \"'\";\n\treturn sname;\n}\nfunction get_ixti_raw(supbooks, ixti, opts) {\n\tif(!supbooks) return \"SH33TJSERR0\";\n\tif(opts.biff > 8 && (!supbooks.XTI || !supbooks.XTI[ixti])) return supbooks.SheetNames[ixti];\n\tif(!supbooks.XTI) return \"SH33TJSERR6\";\n\tvar XTI = supbooks.XTI[ixti];\n\tif(opts.biff < 8) {\n\t\tif(ixti > 10000) ixti-= 65536;\n\t\tif(ixti < 0) ixti = -ixti;\n\t\treturn ixti == 0 ? \"\" : supbooks.XTI[ixti - 1];\n\t}\n\tif(!XTI) return \"SH33TJSERR1\";\n\tvar o = \"\";\n\tif(opts.biff > 8) switch(supbooks[XTI[0]][0]) {\n\t\tcase 0x0165: /* 'BrtSupSelf' */\n\t\t\to = XTI[1] == -1 ? \"#REF\" : supbooks.SheetNames[XTI[1]];\n\t\t\treturn XTI[1] == XTI[2] ? o : o + \":\" + supbooks.SheetNames[XTI[2]];\n\t\tcase 0x0166: /* 'BrtSupSame' */\n\t\t\tif(opts.SID != null) return supbooks.SheetNames[opts.SID];\n\t\t\treturn \"SH33TJSSAME\" + supbooks[XTI[0]][0];\n\t\tcase 0x0163: /* 'BrtSupBookSrc' */\n\t\t\t/* falls through */\n\t\tdefault: return \"SH33TJSSRC\" + supbooks[XTI[0]][0];\n\t}\n\tswitch(supbooks[XTI[0]][0][0]) {\n\t\tcase 0x0401:\n\t\t\to = XTI[1] == -1 ? \"#REF\" : (supbooks.SheetNames[XTI[1]] || \"SH33TJSERR3\");\n\t\t\treturn XTI[1] == XTI[2] ? o : o + \":\" + supbooks.SheetNames[XTI[2]];\n\t\tcase 0x3A01: return supbooks[XTI[0]].slice(1).map(function(name) { return name.Name; }).join(\";;\"); //return \"SH33TJSERR8\";\n\t\tdefault:\n\t\t\tif(!supbooks[XTI[0]][0][3]) return \"SH33TJSERR2\";\n\t\t\to = XTI[1] == -1 ? \"#REF\" : (supbooks[XTI[0]][0][3][XTI[1]] || \"SH33TJSERR4\");\n\t\t\treturn XTI[1] == XTI[2] ? o : o + \":\" + supbooks[XTI[0]][0][3][XTI[2]];\n\t}\n}\nfunction get_ixti(supbooks, ixti, opts) {\n\treturn formula_quote_sheet_name(get_ixti_raw(supbooks, ixti, opts), opts);\n}\nfunction stringify_formula(formula/*Array*/, range, cell, supbooks, opts) {\n\tvar biff = (opts && opts.biff) || 8;\n\tvar _range = /*range != null ? range :*/ {s:{c:0, r:0},e:{c:0, r:0}};\n\tvar stack = [], e1, e2, c, ixti=0, nameidx=0, r, sname=\"\";\n\tif(!formula[0] || !formula[0][0]) return \"\";\n\tvar last_sp = -1, sp = \"\";\n\tfor(var ff = 0, fflen = formula[0].length; ff < fflen; ++ff) {\n\t\tvar f = formula[0][ff];\n\t\tswitch(f[0]) {\n\t\t\tcase 'PtgUminus': /* [MS-XLS] 2.5.198.93 */\n\t\t\t\tstack.push(\"-\" + stack.pop()); break;\n\t\t\tcase 'PtgUplus': /* [MS-XLS] 2.5.198.95 */\n\t\t\t\tstack.push(\"+\" + stack.pop()); break;\n\t\t\tcase 'PtgPercent': /* [MS-XLS] 2.5.198.81 */\n\t\t\t\tstack.push(stack.pop() + \"%\"); break;\n\n\t\t\tcase 'PtgAdd': /* [MS-XLS] 2.5.198.26 */\n\t\t\tcase 'PtgConcat': /* [MS-XLS] 2.5.198.43 */\n\t\t\tcase 'PtgDiv': /* [MS-XLS] 2.5.198.45 */\n\t\t\tcase 'PtgEq': /* [MS-XLS] 2.5.198.56 */\n\t\t\tcase 'PtgGe': /* [MS-XLS] 2.5.198.64 */\n\t\t\tcase 'PtgGt': /* [MS-XLS] 2.5.198.65 */\n\t\t\tcase 'PtgLe': /* [MS-XLS] 2.5.198.68 */\n\t\t\tcase 'PtgLt': /* [MS-XLS] 2.5.198.69 */\n\t\t\tcase 'PtgMul': /* [MS-XLS] 2.5.198.75 */\n\t\t\tcase 'PtgNe': /* [MS-XLS] 2.5.198.78 */\n\t\t\tcase 'PtgPower': /* [MS-XLS] 2.5.198.82 */\n\t\t\tcase 'PtgSub': /* [MS-XLS] 2.5.198.90 */\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tif(last_sp >= 0) {\n\t\t\t\t\tswitch(formula[0][last_sp][1][0]) {\n\t\t\t\t\t\tcase 0:\n\t\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\t\tsp = fill(\" \", formula[0][last_sp][1][1]); break;\n\t\t\t\t\t\tcase 1:\n\t\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\t\tsp = fill(\"\\r\", formula[0][last_sp][1][1]); break;\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tsp = \"\";\n\t\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\t\tif(opts.WTF) throw new Error(\"Unexpected PtgAttrSpaceType \" + formula[0][last_sp][1][0]);\n\t\t\t\t\t}\n\t\t\t\t\te2 = e2 + sp;\n\t\t\t\t\tlast_sp = -1;\n\t\t\t\t}\n\t\t\t\tstack.push(e2+PtgBinOp[f[0]]+e1);\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgIsect': /* [MS-XLS] 2.5.198.67 */\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\" \"+e1);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgUnion': /* [MS-XLS] 2.5.198.94 */\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\",\"+e1);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgRange': /* [MS-XLS] 2.5.198.83 */\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\":\"+e1);\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgAttrChoose': /* [MS-XLS] 2.5.198.34 */\n\t\t\t\tbreak;\n\t\t\tcase 'PtgAttrGoto': /* [MS-XLS] 2.5.198.35 */\n\t\t\t\tbreak;\n\t\t\tcase 'PtgAttrIf': /* [MS-XLS] 2.5.198.36 */\n\t\t\t\tbreak;\n\t\t\tcase 'PtgAttrIfError': /* [MS-XLSB] 2.5.97.28 */\n\t\t\t\tbreak;\n\n\n\t\t\tcase 'PtgRef': /* [MS-XLS] 2.5.198.84 */\nc = shift_cell_xls((f[1][1]), _range, opts);\n\t\t\t\tstack.push(encode_cell_xls(c, biff));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgRefN': /* [MS-XLS] 2.5.198.88 */\nc = cell ? shift_cell_xls((f[1][1]), cell, opts) : (f[1][1]);\n\t\t\t\tstack.push(encode_cell_xls(c, biff));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgRef3d': /* [MS-XLS] 2.5.198.85 */\nixti = f[1][1]; c = shift_cell_xls((f[1][2]), _range, opts);\n\t\t\t\tsname = get_ixti(supbooks, ixti, opts);\n\t\t\t\tvar w = sname; /* IE9 fails on defined names */ // eslint-disable-line no-unused-vars\n\t\t\t\tstack.push(sname + \"!\" + encode_cell_xls(c, biff));\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgFunc': /* [MS-XLS] 2.5.198.62 */\n\t\t\tcase 'PtgFuncVar': /* [MS-XLS] 2.5.198.63 */\n\t\t\t\t/* f[1] = [argc, func, type] */\n\t\t\t\tvar argc = (f[1][0]), func = (f[1][1]);\n\t\t\t\tif(!argc) argc = 0;\n\t\t\t\targc &= 0x7F;\n\t\t\t\tvar args = argc == 0 ? [] : stack.slice(-argc);\n\t\t\t\tstack.length -= argc;\n\t\t\t\tif(func === 'User') func = args.shift();\n\t\t\t\tstack.push(func + \"(\" + args.join(\",\") + \")\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgBool': /* [MS-XLS] 2.5.198.42 */\n\t\t\t\tstack.push(f[1] ? \"TRUE\" : \"FALSE\"); break;\n\t\t\tcase 'PtgInt': /* [MS-XLS] 2.5.198.66 */\n\t\t\t\tstack.push(f[1]); break;\n\t\t\tcase 'PtgNum': /* [MS-XLS] 2.5.198.79 TODO: precision? */\n\t\t\t\tstack.push(String(f[1])); break;\n\t\t\tcase 'PtgStr': /* [MS-XLS] 2.5.198.89 */\n\t\t\t\t// $FlowIgnore\n\t\t\t\tstack.push('\"' + f[1].replace(/\"/g, '\"\"') + '\"'); break;\n\t\t\tcase 'PtgErr': /* [MS-XLS] 2.5.198.57 */\n\t\t\t\tstack.push(f[1]); break;\n\t\t\tcase 'PtgAreaN': /* [MS-XLS] 2.5.198.31 TODO */\nr = shift_range_xls(f[1][1], cell ? {s:cell} : _range, opts);\n\t\t\t\tstack.push(encode_range_xls((r), opts));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgArea': /* [MS-XLS] 2.5.198.27 TODO: fixed points */\nr = shift_range_xls(f[1][1], _range, opts);\n\t\t\t\tstack.push(encode_range_xls((r), opts));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgArea3d': /* [MS-XLS] 2.5.198.28 TODO */\nixti = f[1][1]; r = f[1][2];\n\t\t\t\tsname = get_ixti(supbooks, ixti, opts);\n\t\t\t\tstack.push(sname + \"!\" + encode_range_xls((r), opts));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgAttrSum': /* [MS-XLS] 2.5.198.41 */\n\t\t\t\tstack.push(\"SUM(\" + stack.pop() + \")\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgAttrBaxcel': /* [MS-XLS] 2.5.198.33 */\n\t\t\tcase 'PtgAttrSemi': /* [MS-XLS] 2.5.198.37 */\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgName': /* [MS-XLS] 2.5.198.76 ; [MS-XLSB] 2.5.97.60 TODO: revisions */\n\t\t\t\t/* f[1] = type, 0, nameindex */\n\t\t\t\tnameidx = (f[1][2]);\n\t\t\t\tvar lbl = (supbooks.names||[])[nameidx-1] || (supbooks[0]||[])[nameidx];\n\t\t\t\tvar name = lbl ? lbl.Name : \"SH33TJSNAME\" + String(nameidx);\n\t\t\t\tif(name in XLSXFutureFunctions) name = XLSXFutureFunctions[name];\n\t\t\t\tstack.push(name);\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgNameX': /* [MS-XLS] 2.5.198.77 ; [MS-XLSB] 2.5.97.61 TODO: revisions */\n\t\t\t\t/* f[1] = type, ixti, nameindex */\n\t\t\t\tvar bookidx = (f[1][1]); nameidx = (f[1][2]); var externbook;\n\t\t\t\t/* TODO: Properly handle missing values -- this should be using get_ixti_raw primarily */\n\t\t\t\tif(opts.biff <= 5) {\n\t\t\t\t\tif(bookidx < 0) bookidx = -bookidx;\n\t\t\t\t\tif(supbooks[bookidx]) externbook = supbooks[bookidx][nameidx];\n\t\t\t\t} else {\n\t\t\t\t\tvar o = \"\";\n\t\t\t\t\tif(((supbooks[bookidx]||[])[0]||[])[0] == 0x3A01){/* empty */}\n\t\t\t\t\telse if(((supbooks[bookidx]||[])[0]||[])[0] == 0x0401){\n\t\t\t\t\t\tif(supbooks[bookidx][nameidx] && supbooks[bookidx][nameidx].itab > 0) {\n\t\t\t\t\t\t\to = supbooks.SheetNames[supbooks[bookidx][nameidx].itab-1] + \"!\";\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse o = supbooks.SheetNames[nameidx-1]+ \"!\";\n\t\t\t\t\tif(supbooks[bookidx] && supbooks[bookidx][nameidx]) o += supbooks[bookidx][nameidx].Name;\n\t\t\t\t\telse if(supbooks[0] && supbooks[0][nameidx]) o += supbooks[0][nameidx].Name;\n\t\t\t\t\telse {\n\t\t\t\t\t\tvar ixtidata = get_ixti_raw(supbooks, bookidx, opts).split(\";;\");\n\t\t\t\t\t\tif(ixtidata[nameidx - 1]) o = ixtidata[nameidx - 1]; // TODO: confirm this is correct\n\t\t\t\t\t\telse o += \"SH33TJSERRX\";\n\t\t\t\t\t}\n\t\t\t\t\tstack.push(o);\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(!externbook) externbook = {Name: \"SH33TJSERRY\"};\n\t\t\t\tstack.push(externbook.Name);\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgParen': /* [MS-XLS] 2.5.198.80 */\n\t\t\t\tvar lp = '(', rp = ')';\n\t\t\t\tif(last_sp >= 0) {\n\t\t\t\t\tsp = \"\";\n\t\t\t\t\tswitch(formula[0][last_sp][1][0]) {\n\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\tcase 2: lp = fill(\" \", formula[0][last_sp][1][1]) + lp; break;\n\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\tcase 3: lp = fill(\"\\r\", formula[0][last_sp][1][1]) + lp; break;\n\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\tcase 4: rp = fill(\" \", formula[0][last_sp][1][1]) + rp; break;\n\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\tcase 5: rp = fill(\"\\r\", formula[0][last_sp][1][1]) + rp; break;\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\t\tif(opts.WTF) throw new Error(\"Unexpected PtgAttrSpaceType \" + formula[0][last_sp][1][0]);\n\t\t\t\t\t}\n\t\t\t\t\tlast_sp = -1;\n\t\t\t\t}\n\t\t\t\tstack.push(lp + stack.pop() + rp); break;\n\n\t\t\tcase 'PtgRefErr': /* [MS-XLS] 2.5.198.86 */\n\t\t\t\tstack.push('#REF!'); break;\n\n\t\t\tcase 'PtgRefErr3d': /* [MS-XLS] 2.5.198.87 */\n\t\t\t\tstack.push('#REF!'); break;\n\n\t\t\tcase 'PtgExp': /* [MS-XLS] 2.5.198.58 TODO */\n\t\t\t\tc = {c:(f[1][1]),r:(f[1][0])};\n\t\t\t\tvar q = ({c: cell.c, r:cell.r});\n\t\t\t\tif(supbooks.sharedf[encode_cell(c)]) {\n\t\t\t\t\tvar parsedf = (supbooks.sharedf[encode_cell(c)]);\n\t\t\t\t\tstack.push(stringify_formula(parsedf, _range, q, supbooks, opts));\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tvar fnd = false;\n\t\t\t\t\tfor(e1=0;e1!=supbooks.arrayf.length; ++e1) {\n\t\t\t\t\t\t/* TODO: should be something like range_has */\n\t\t\t\t\t\te2 = supbooks.arrayf[e1];\n\t\t\t\t\t\tif(c.c < e2[0].s.c || c.c > e2[0].e.c) continue;\n\t\t\t\t\t\tif(c.r < e2[0].s.r || c.r > e2[0].e.r) continue;\n\t\t\t\t\t\tstack.push(stringify_formula(e2[1], _range, q, supbooks, opts));\n\t\t\t\t\t\tfnd = true;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t\tif(!fnd) stack.push(f[1]);\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgArray': /* [MS-XLS] 2.5.198.32 TODO */\n\t\t\t\tstack.push(\"{\" + stringify_array(f[1]) + \"}\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgMemArea': /* [MS-XLS] 2.5.198.70 TODO: confirm this is a non-display */\n\t\t\t\t//stack.push(\"(\" + f[2].map(encode_range).join(\",\") + \")\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgAttrSpace': /* [MS-XLS] 2.5.198.38 */\n\t\t\tcase 'PtgAttrSpaceSemi': /* [MS-XLS] 2.5.198.39 */\n\t\t\t\tlast_sp = ff;\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgTbl': /* [MS-XLS] 2.5.198.92 TODO */\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgMemErr': /* [MS-XLS] 2.5.198.71 */\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgMissArg': /* [MS-XLS] 2.5.198.74 */\n\t\t\t\tstack.push(\"\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgAreaErr': /* [MS-XLS] 2.5.198.29 */\n\t\t\t\tstack.push(\"#REF!\"); break;\n\n\t\t\tcase 'PtgAreaErr3d': /* [MS-XLS] 2.5.198.30 */\n\t\t\t\tstack.push(\"#REF!\"); break;\n\n\t\t\tcase 'PtgList': /* [MS-XLSB] 2.5.97.52 */\n\t\t\t\t// $FlowIgnore\n\t\t\t\tstack.push(\"Table\" + f[1].idx + \"[#\" + f[1].rt + \"]\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgMemAreaN':\n\t\t\tcase 'PtgMemNoMemN':\n\t\t\tcase 'PtgAttrNoop':\n\t\t\tcase 'PtgSheet':\n\t\t\tcase 'PtgEndSheet':\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgMemFunc': /* [MS-XLS] 2.5.198.72 TODO */\n\t\t\t\tbreak;\n\t\t\tcase 'PtgMemNoMem': /* [MS-XLS] 2.5.198.73 TODO */\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgElfCol': /* [MS-XLS] 2.5.198.46 */\n\t\t\tcase 'PtgElfColS': /* [MS-XLS] 2.5.198.47 */\n\t\t\tcase 'PtgElfColSV': /* [MS-XLS] 2.5.198.48 */\n\t\t\tcase 'PtgElfColV': /* [MS-XLS] 2.5.198.49 */\n\t\t\tcase 'PtgElfLel': /* [MS-XLS] 2.5.198.50 */\n\t\t\tcase 'PtgElfRadical': /* [MS-XLS] 2.5.198.51 */\n\t\t\tcase 'PtgElfRadicalLel': /* [MS-XLS] 2.5.198.52 */\n\t\t\tcase 'PtgElfRadicalS': /* [MS-XLS] 2.5.198.53 */\n\t\t\tcase 'PtgElfRw': /* [MS-XLS] 2.5.198.54 */\n\t\t\tcase 'PtgElfRwV': /* [MS-XLS] 2.5.198.55 */\n\t\t\t\tthrow new Error(\"Unsupported ELFs\");\n\n\t\t\tcase 'PtgSxName': /* [MS-XLS] 2.5.198.91 TODO -- find a test case */\n\t\t\t\tthrow new Error('Unrecognized Formula Token: ' + String(f));\n\t\t\tdefault: throw new Error('Unrecognized Formula Token: ' + String(f));\n\t\t}\n\t\tvar PtgNonDisp = ['PtgAttrSpace', 'PtgAttrSpaceSemi', 'PtgAttrGoto'];\n\t\tif(opts.biff != 3) if(last_sp >= 0 && PtgNonDisp.indexOf(formula[0][ff][0]) == -1) {\n\t\t\tf = formula[0][last_sp];\n\t\t\tvar _left = true;\n\t\t\tswitch(f[1][0]) {\n\t\t\t\t/* note: some bad XLSB files omit the PtgParen */\n\t\t\t\tcase 4: _left = false;\n\t\t\t\t/* falls through */\n\t\t\t\tcase 0:\n\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\tsp = fill(\" \", f[1][1]); break;\n\t\t\t\tcase 5: _left = false;\n\t\t\t\t/* falls through */\n\t\t\t\tcase 1:\n\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\tsp = fill(\"\\r\", f[1][1]); break;\n\t\t\t\tdefault:\n\t\t\t\t\tsp = \"\";\n\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\tif(opts.WTF) throw new Error(\"Unexpected PtgAttrSpaceType \" + f[1][0]);\n\t\t\t}\n\t\t\tstack.push((_left ? sp : \"\") + stack.pop() + (_left ? \"\" : sp));\n\t\t\tlast_sp = -1;\n\t\t}\n\t}\n\tif(stack.length > 1 && opts.WTF) throw new Error(\"bad formula stack\");\n\treturn stack[0];\n}\n\n/* [MS-XLS] 2.5.198.1 TODO */\nfunction parse_ArrayParsedFormula(blob, length, opts) {\n\tvar target = blob.l + length, len = opts.biff == 2 ? 1 : 2;\n\tvar rgcb, cce = blob.read_shift(len); // length of rgce\n\tif(cce == 0xFFFF) return [[],parsenoop(blob, length-2)];\n\tvar rgce = parse_Rgce(blob, cce, opts);\n\tif(length !== cce + len) rgcb = parse_RgbExtra(blob, length - cce - len, rgce, opts);\n\tblob.l = target;\n\treturn [rgce, rgcb];\n}\n\n/* [MS-XLS] 2.5.198.3 TODO */\nfunction parse_XLSCellParsedFormula(blob, length, opts) {\n\tvar target = blob.l + length, len = opts.biff == 2 ? 1 : 2;\n\tvar rgcb, cce = blob.read_shift(len); // length of rgce\n\tif(cce == 0xFFFF) return [[],parsenoop(blob, length-2)];\n\tvar rgce = parse_Rgce(blob, cce, opts);\n\tif(length !== cce + len) rgcb = parse_RgbExtra(blob, length - cce - len, rgce, opts);\n\tblob.l = target;\n\treturn [rgce, rgcb];\n}\n\n/* [MS-XLS] 2.5.198.21 */\nfunction parse_NameParsedFormula(blob, length, opts, cce) {\n\tvar target = blob.l + length;\n\tvar rgce = parse_Rgce(blob, cce, opts);\n\tvar rgcb;\n\tif(target !== blob.l) rgcb = parse_RgbExtra(blob, target - blob.l, rgce, opts);\n\treturn [rgce, rgcb];\n}\n\n/* [MS-XLS] 2.5.198.118 TODO */\nfunction parse_SharedParsedFormula(blob, length, opts) {\n\tvar target = blob.l + length;\n\tvar rgcb, cce = blob.read_shift(2); // length of rgce\n\tvar rgce = parse_Rgce(blob, cce, opts);\n\tif(cce == 0xFFFF) return [[],parsenoop(blob, length-2)];\n\tif(length !== cce + 2) rgcb = parse_RgbExtra(blob, target - cce - 2, rgce, opts);\n\treturn [rgce, rgcb];\n}\n\n/* [MS-XLS] 2.5.133 TODO: how to emit empty strings? */\nfunction parse_FormulaValue(blob) {\n\tvar b;\n\tif(__readUInt16LE(blob,blob.l + 6) !== 0xFFFF) return [parse_Xnum(blob),'n'];\n\tswitch(blob[blob.l]) {\n\t\tcase 0x00: blob.l += 8; return [\"String\", 's'];\n\t\tcase 0x01: b = blob[blob.l+2] === 0x1; blob.l += 8; return [b,'b'];\n\t\tcase 0x02: b = blob[blob.l+2]; blob.l += 8; return [b,'e'];\n\t\tcase 0x03: blob.l += 8; return [\"\",'s'];\n\t}\n\treturn [];\n}\nfunction write_FormulaValue(value) {\n\tif(value == null) {\n\t\t// Blank String Value\n\t\tvar o = new_buf(8);\n\t\to.write_shift(1, 0x03);\n\t\to.write_shift(1, 0);\n\t\to.write_shift(2, 0);\n\t\to.write_shift(2, 0);\n\t\to.write_shift(2, 0xFFFF);\n\t\treturn o;\n\t} else if(typeof value == \"number\") return write_Xnum(value);\n\treturn write_Xnum(0);\n}\n\n/* [MS-XLS] 2.4.127 TODO */\nfunction parse_Formula(blob, length, opts) {\n\tvar end = blob.l + length;\n\tvar cell = parse_XLSCell(blob, 6);\n\tif(opts.biff == 2) ++blob.l;\n\tvar val = parse_FormulaValue(blob,8);\n\tvar flags = blob.read_shift(1);\n\tif(opts.biff != 2) {\n\t\tblob.read_shift(1);\n\t\tif(opts.biff >= 5) {\n\t\t\t/*var chn = */blob.read_shift(4);\n\t\t}\n\t}\n\tvar cbf = parse_XLSCellParsedFormula(blob, end - blob.l, opts);\n\treturn {cell:cell, val:val[0], formula:cbf, shared: (flags >> 3) & 1, tt:val[1]};\n}\nfunction write_Formula(cell, R, C, opts, os) {\n\t// Cell\n\tvar o1 = write_XLSCell(R, C, os);\n\n\t// FormulaValue\n\tvar o2 = write_FormulaValue(cell.v);\n\n\t// flags + cache\n\tvar o3 = new_buf(6);\n\tvar flags = 0x01 | 0x20;\n\to3.write_shift(2, flags);\n\to3.write_shift(4, 0);\n\n\t// CellParsedFormula\n\tvar bf = new_buf(cell.bf.length);\n\tfor(var i = 0; i < cell.bf.length; ++i) bf[i] = cell.bf[i];\n\n\tvar out = bconcat([o1, o2, o3, bf]);\n\treturn out;\n}\n\n\n/* XLSB Parsed Formula records have the same shape */\nfunction parse_XLSBParsedFormula(data, length, opts) {\n\tvar cce = data.read_shift(4);\n\tvar rgce = parse_Rgce(data, cce, opts);\n\tvar cb = data.read_shift(4);\n\tvar rgcb = cb > 0 ? parse_RgbExtra(data, cb, rgce, opts) : null;\n\treturn [rgce, rgcb];\n}\n\n/* [MS-XLSB] 2.5.97.1 ArrayParsedFormula */\nvar parse_XLSBArrayParsedFormula = parse_XLSBParsedFormula;\n/* [MS-XLSB] 2.5.97.4 CellParsedFormula */\nvar parse_XLSBCellParsedFormula = parse_XLSBParsedFormula;\n/* [MS-XLSB] 2.5.97.8 DVParsedFormula */\n//var parse_XLSBDVParsedFormula = parse_XLSBParsedFormula;\n/* [MS-XLSB] 2.5.97.9 FRTParsedFormula */\n//var parse_XLSBFRTParsedFormula = parse_XLSBParsedFormula2;\n/* [MS-XLSB] 2.5.97.12 NameParsedFormula */\nvar parse_XLSBNameParsedFormula = parse_XLSBParsedFormula;\n/* [MS-XLSB] 2.5.97.98 SharedParsedFormula */\nvar parse_XLSBSharedParsedFormula = parse_XLSBParsedFormula;\n/* [MS-XLS] 2.5.198.4 */\nvar Cetab = {\n0x0000: 'BEEP',\n0x0001: 'OPEN',\n0x0002: 'OPEN.LINKS',\n0x0003: 'CLOSE.ALL',\n0x0004: 'SAVE',\n0x0005: 'SAVE.AS',\n0x0006: 'FILE.DELETE',\n0x0007: 'PAGE.SETUP',\n0x0008: 'PRINT',\n0x0009: 'PRINTER.SETUP',\n0x000A: 'QUIT',\n0x000B: 'NEW.WINDOW',\n0x000C: 'ARRANGE.ALL',\n0x000D: 'WINDOW.SIZE',\n0x000E: 'WINDOW.MOVE',\n0x000F: 'FULL',\n0x0010: 'CLOSE',\n0x0011: 'RUN',\n0x0016: 'SET.PRINT.AREA',\n0x0017: 'SET.PRINT.TITLES',\n0x0018: 'SET.PAGE.BREAK',\n0x0019: 'REMOVE.PAGE.BREAK',\n0x001A: 'FONT',\n0x001B: 'DISPLAY',\n0x001C: 'PROTECT.DOCUMENT',\n0x001D: 'PRECISION',\n0x001E: 'A1.R1C1',\n0x001F: 'CALCULATE.NOW',\n0x0020: 'CALCULATION',\n0x0022: 'DATA.FIND',\n0x0023: 'EXTRACT',\n0x0024: 'DATA.DELETE',\n0x0025: 'SET.DATABASE',\n0x0026: 'SET.CRITERIA',\n0x0027: 'SORT',\n0x0028: 'DATA.SERIES',\n0x0029: 'TABLE',\n0x002A: 'FORMAT.NUMBER',\n0x002B: 'ALIGNMENT',\n0x002C: 'STYLE',\n0x002D: 'BORDER',\n0x002E: 'CELL.PROTECTION',\n0x002F: 'COLUMN.WIDTH',\n0x0030: 'UNDO',\n0x0031: 'CUT',\n0x0032: 'COPY',\n0x0033: 'PASTE',\n0x0034: 'CLEAR',\n0x0035: 'PASTE.SPECIAL',\n0x0036: 'EDIT.DELETE',\n0x0037: 'INSERT',\n0x0038: 'FILL.RIGHT',\n0x0039: 'FILL.DOWN',\n0x003D: 'DEFINE.NAME',\n0x003E: 'CREATE.NAMES',\n0x003F: 'FORMULA.GOTO',\n0x0040: 'FORMULA.FIND',\n0x0041: 'SELECT.LAST.CELL',\n0x0042: 'SHOW.ACTIVE.CELL',\n0x0043: 'GALLERY.AREA',\n0x0044: 'GALLERY.BAR',\n0x0045: 'GALLERY.COLUMN',\n0x0046: 'GALLERY.LINE',\n0x0047: 'GALLERY.PIE',\n0x0048: 'GALLERY.SCATTER',\n0x0049: 'COMBINATION',\n0x004A: 'PREFERRED',\n0x004B: 'ADD.OVERLAY',\n0x004C: 'GRIDLINES',\n0x004D: 'SET.PREFERRED',\n0x004E: 'AXES',\n0x004F: 'LEGEND',\n0x0050: 'ATTACH.TEXT',\n0x0051: 'ADD.ARROW',\n0x0052: 'SELECT.CHART',\n0x0053: 'SELECT.PLOT.AREA',\n0x0054: 'PATTERNS',\n0x0055: 'MAIN.CHART',\n0x0056: 'OVERLAY',\n0x0057: 'SCALE',\n0x0058: 'FORMAT.LEGEND',\n0x0059: 'FORMAT.TEXT',\n0x005A: 'EDIT.REPEAT',\n0x005B: 'PARSE',\n0x005C: 'JUSTIFY',\n0x005D: 'HIDE',\n0x005E: 'UNHIDE',\n0x005F: 'WORKSPACE',\n0x0060: 'FORMULA',\n0x0061: 'FORMULA.FILL',\n0x0062: 'FORMULA.ARRAY',\n0x0063: 'DATA.FIND.NEXT',\n0x0064: 'DATA.FIND.PREV',\n0x0065: 'FORMULA.FIND.NEXT',\n0x0066: 'FORMULA.FIND.PREV',\n0x0067: 'ACTIVATE',\n0x0068: 'ACTIVATE.NEXT',\n0x0069: 'ACTIVATE.PREV',\n0x006A: 'UNLOCKED.NEXT',\n0x006B: 'UNLOCKED.PREV',\n0x006C: 'COPY.PICTURE',\n0x006D: 'SELECT',\n0x006E: 'DELETE.NAME',\n0x006F: 'DELETE.FORMAT',\n0x0070: 'VLINE',\n0x0071: 'HLINE',\n0x0072: 'VPAGE',\n0x0073: 'HPAGE',\n0x0074: 'VSCROLL',\n0x0075: 'HSCROLL',\n0x0076: 'ALERT',\n0x0077: 'NEW',\n0x0078: 'CANCEL.COPY',\n0x0079: 'SHOW.CLIPBOARD',\n0x007A: 'MESSAGE',\n0x007C: 'PASTE.LINK',\n0x007D: 'APP.ACTIVATE',\n0x007E: 'DELETE.ARROW',\n0x007F: 'ROW.HEIGHT',\n0x0080: 'FORMAT.MOVE',\n0x0081: 'FORMAT.SIZE',\n0x0082: 'FORMULA.REPLACE',\n0x0083: 'SEND.KEYS',\n0x0084: 'SELECT.SPECIAL',\n0x0085: 'APPLY.NAMES',\n0x0086: 'REPLACE.FONT',\n0x0087: 'FREEZE.PANES',\n0x0088: 'SHOW.INFO',\n0x0089: 'SPLIT',\n0x008A: 'ON.WINDOW',\n0x008B: 'ON.DATA',\n0x008C: 'DISABLE.INPUT',\n0x008E: 'OUTLINE',\n0x008F: 'LIST.NAMES',\n0x0090: 'FILE.CLOSE',\n0x0091: 'SAVE.WORKBOOK',\n0x0092: 'DATA.FORM',\n0x0093: 'COPY.CHART',\n0x0094: 'ON.TIME',\n0x0095: 'WAIT',\n0x0096: 'FORMAT.FONT',\n0x0097: 'FILL.UP',\n0x0098: 'FILL.LEFT',\n0x0099: 'DELETE.OVERLAY',\n0x009B: 'SHORT.MENUS',\n0x009F: 'SET.UPDATE.STATUS',\n0x00A1: 'COLOR.PALETTE',\n0x00A2: 'DELETE.STYLE',\n0x00A3: 'WINDOW.RESTORE',\n0x00A4: 'WINDOW.MAXIMIZE',\n0x00A6: 'CHANGE.LINK',\n0x00A7: 'CALCULATE.DOCUMENT',\n0x00A8: 'ON.KEY',\n0x00A9: 'APP.RESTORE',\n0x00AA: 'APP.MOVE',\n0x00AB: 'APP.SIZE',\n0x00AC: 'APP.MINIMIZE',\n0x00AD: 'APP.MAXIMIZE',\n0x00AE: 'BRING.TO.FRONT',\n0x00AF: 'SEND.TO.BACK',\n0x00B9: 'MAIN.CHART.TYPE',\n0x00BA: 'OVERLAY.CHART.TYPE',\n0x00BB: 'SELECT.END',\n0x00BC: 'OPEN.MAIL',\n0x00BD: 'SEND.MAIL',\n0x00BE: 'STANDARD.FONT',\n0x00BF: 'CONSOLIDATE',\n0x00C0: 'SORT.SPECIAL',\n0x00C1: 'GALLERY.3D.AREA',\n0x00C2: 'GALLERY.3D.COLUMN',\n0x00C3: 'GALLERY.3D.LINE',\n0x00C4: 'GALLERY.3D.PIE',\n0x00C5: 'VIEW.3D',\n0x00C6: 'GOAL.SEEK',\n0x00C7: 'WORKGROUP',\n0x00C8: 'FILL.GROUP',\n0x00C9: 'UPDATE.LINK',\n0x00CA: 'PROMOTE',\n0x00CB: 'DEMOTE',\n0x00CC: 'SHOW.DETAIL',\n0x00CE: 'UNGROUP',\n0x00CF: 'OBJECT.PROPERTIES',\n0x00D0: 'SAVE.NEW.OBJECT',\n0x00D1: 'SHARE',\n0x00D2: 'SHARE.NAME',\n0x00D3: 'DUPLICATE',\n0x00D4: 'APPLY.STYLE',\n0x00D5: 'ASSIGN.TO.OBJECT',\n0x00D6: 'OBJECT.PROTECTION',\n0x00D7: 'HIDE.OBJECT',\n0x00D8: 'SET.EXTRACT',\n0x00D9: 'CREATE.PUBLISHER',\n0x00DA: 'SUBSCRIBE.TO',\n0x00DB: 'ATTRIBUTES',\n0x00DC: 'SHOW.TOOLBAR',\n0x00DE: 'PRINT.PREVIEW',\n0x00DF: 'EDIT.COLOR',\n0x00E0: 'SHOW.LEVELS',\n0x00E1: 'FORMAT.MAIN',\n0x00E2: 'FORMAT.OVERLAY',\n0x00E3: 'ON.RECALC',\n0x00E4: 'EDIT.SERIES',\n0x00E5: 'DEFINE.STYLE',\n0x00F0: 'LINE.PRINT',\n0x00F3: 'ENTER.DATA',\n0x00F9: 'GALLERY.RADAR',\n0x00FA: 'MERGE.STYLES',\n0x00FB: 'EDITION.OPTIONS',\n0x00FC: 'PASTE.PICTURE',\n0x00FD: 'PASTE.PICTURE.LINK',\n0x00FE: 'SPELLING',\n0x0100: 'ZOOM',\n0x0103: 'INSERT.OBJECT',\n0x0104: 'WINDOW.MINIMIZE',\n0x0109: 'SOUND.NOTE',\n0x010A: 'SOUND.PLAY',\n0x010B: 'FORMAT.SHAPE',\n0x010C: 'EXTEND.POLYGON',\n0x010D: 'FORMAT.AUTO',\n0x0110: 'GALLERY.3D.BAR',\n0x0111: 'GALLERY.3D.SURFACE',\n0x0112: 'FILL.AUTO',\n0x0114: 'CUSTOMIZE.TOOLBAR',\n0x0115: 'ADD.TOOL',\n0x0116: 'EDIT.OBJECT',\n0x0117: 'ON.DOUBLECLICK',\n0x0118: 'ON.ENTRY',\n0x0119: 'WORKBOOK.ADD',\n0x011A: 'WORKBOOK.MOVE',\n0x011B: 'WORKBOOK.COPY',\n0x011C: 'WORKBOOK.OPTIONS',\n0x011D: 'SAVE.WORKSPACE',\n0x0120: 'CHART.WIZARD',\n0x0121: 'DELETE.TOOL',\n0x0122: 'MOVE.TOOL',\n0x0123: 'WORKBOOK.SELECT',\n0x0124: 'WORKBOOK.ACTIVATE',\n0x0125: 'ASSIGN.TO.TOOL',\n0x0127: 'COPY.TOOL',\n0x0128: 'RESET.TOOL',\n0x0129: 'CONSTRAIN.NUMERIC',\n0x012A: 'PASTE.TOOL',\n0x012E: 'WORKBOOK.NEW',\n0x0131: 'SCENARIO.CELLS',\n0x0132: 'SCENARIO.DELETE',\n0x0133: 'SCENARIO.ADD',\n0x0134: 'SCENARIO.EDIT',\n0x0135: 'SCENARIO.SHOW',\n0x0136: 'SCENARIO.SHOW.NEXT',\n0x0137: 'SCENARIO.SUMMARY',\n0x0138: 'PIVOT.TABLE.WIZARD',\n0x0139: 'PIVOT.FIELD.PROPERTIES',\n0x013A: 'PIVOT.FIELD',\n0x013B: 'PIVOT.ITEM',\n0x013C: 'PIVOT.ADD.FIELDS',\n0x013E: 'OPTIONS.CALCULATION',\n0x013F: 'OPTIONS.EDIT',\n0x0140: 'OPTIONS.VIEW',\n0x0141: 'ADDIN.MANAGER',\n0x0142: 'MENU.EDITOR',\n0x0143: 'ATTACH.TOOLBARS',\n0x0144: 'VBAActivate',\n0x0145: 'OPTIONS.CHART',\n0x0148: 'VBA.INSERT.FILE',\n0x014A: 'VBA.PROCEDURE.DEFINITION',\n0x0150: 'ROUTING.SLIP',\n0x0152: 'ROUTE.DOCUMENT',\n0x0153: 'MAIL.LOGON',\n0x0156: 'INSERT.PICTURE',\n0x0157: 'EDIT.TOOL',\n0x0158: 'GALLERY.DOUGHNUT',\n0x015E: 'CHART.TREND',\n0x0160: 'PIVOT.ITEM.PROPERTIES',\n0x0162: 'WORKBOOK.INSERT',\n0x0163: 'OPTIONS.TRANSITION',\n0x0164: 'OPTIONS.GENERAL',\n0x0172: 'FILTER.ADVANCED',\n0x0175: 'MAIL.ADD.MAILER',\n0x0176: 'MAIL.DELETE.MAILER',\n0x0177: 'MAIL.REPLY',\n0x0178: 'MAIL.REPLY.ALL',\n0x0179: 'MAIL.FORWARD',\n0x017A: 'MAIL.NEXT.LETTER',\n0x017B: 'DATA.LABEL',\n0x017C: 'INSERT.TITLE',\n0x017D: 'FONT.PROPERTIES',\n0x017E: 'MACRO.OPTIONS',\n0x017F: 'WORKBOOK.HIDE',\n0x0180: 'WORKBOOK.UNHIDE',\n0x0181: 'WORKBOOK.DELETE',\n0x0182: 'WORKBOOK.NAME',\n0x0184: 'GALLERY.CUSTOM',\n0x0186: 'ADD.CHART.AUTOFORMAT',\n0x0187: 'DELETE.CHART.AUTOFORMAT',\n0x0188: 'CHART.ADD.DATA',\n0x0189: 'AUTO.OUTLINE',\n0x018A: 'TAB.ORDER',\n0x018B: 'SHOW.DIALOG',\n0x018C: 'SELECT.ALL',\n0x018D: 'UNGROUP.SHEETS',\n0x018E: 'SUBTOTAL.CREATE',\n0x018F: 'SUBTOTAL.REMOVE',\n0x0190: 'RENAME.OBJECT',\n0x019C: 'WORKBOOK.SCROLL',\n0x019D: 'WORKBOOK.NEXT',\n0x019E: 'WORKBOOK.PREV',\n0x019F: 'WORKBOOK.TAB.SPLIT',\n0x01A0: 'FULL.SCREEN',\n0x01A1: 'WORKBOOK.PROTECT',\n0x01A4: 'SCROLLBAR.PROPERTIES',\n0x01A5: 'PIVOT.SHOW.PAGES',\n0x01A6: 'TEXT.TO.COLUMNS',\n0x01A7: 'FORMAT.CHARTTYPE',\n0x01A8: 'LINK.FORMAT',\n0x01A9: 'TRACER.DISPLAY',\n0x01AE: 'TRACER.NAVIGATE',\n0x01AF: 'TRACER.CLEAR',\n0x01B0: 'TRACER.ERROR',\n0x01B1: 'PIVOT.FIELD.GROUP',\n0x01B2: 'PIVOT.FIELD.UNGROUP',\n0x01B3: 'CHECKBOX.PROPERTIES',\n0x01B4: 'LABEL.PROPERTIES',\n0x01B5: 'LISTBOX.PROPERTIES',\n0x01B6: 'EDITBOX.PROPERTIES',\n0x01B7: 'PIVOT.REFRESH',\n0x01B8: 'LINK.COMBO',\n0x01B9: 'OPEN.TEXT',\n0x01BA: 'HIDE.DIALOG',\n0x01BB: 'SET.DIALOG.FOCUS',\n0x01BC: 'ENABLE.OBJECT',\n0x01BD: 'PUSHBUTTON.PROPERTIES',\n0x01BE: 'SET.DIALOG.DEFAULT',\n0x01BF: 'FILTER',\n0x01C0: 'FILTER.SHOW.ALL',\n0x01C1: 'CLEAR.OUTLINE',\n0x01C2: 'FUNCTION.WIZARD',\n0x01C3: 'ADD.LIST.ITEM',\n0x01C4: 'SET.LIST.ITEM',\n0x01C5: 'REMOVE.LIST.ITEM',\n0x01C6: 'SELECT.LIST.ITEM',\n0x01C7: 'SET.CONTROL.VALUE',\n0x01C8: 'SAVE.COPY.AS',\n0x01CA: 'OPTIONS.LISTS.ADD',\n0x01CB: 'OPTIONS.LISTS.DELETE',\n0x01CC: 'SERIES.AXES',\n0x01CD: 'SERIES.X',\n0x01CE: 'SERIES.Y',\n0x01CF: 'ERRORBAR.X',\n0x01D0: 'ERRORBAR.Y',\n0x01D1: 'FORMAT.CHART',\n0x01D2: 'SERIES.ORDER',\n0x01D3: 'MAIL.LOGOFF',\n0x01D4: 'CLEAR.ROUTING.SLIP',\n0x01D5: 'APP.ACTIVATE.MICROSOFT',\n0x01D6: 'MAIL.EDIT.MAILER',\n0x01D7: 'ON.SHEET',\n0x01D8: 'STANDARD.WIDTH',\n0x01D9: 'SCENARIO.MERGE',\n0x01DA: 'SUMMARY.INFO',\n0x01DB: 'FIND.FILE',\n0x01DC: 'ACTIVE.CELL.FONT',\n0x01DD: 'ENABLE.TIPWIZARD',\n0x01DE: 'VBA.MAKE.ADDIN',\n0x01E0: 'INSERTDATATABLE',\n0x01E1: 'WORKGROUP.OPTIONS',\n0x01E2: 'MAIL.SEND.MAILER',\n0x01E5: 'AUTOCORRECT',\n0x01E9: 'POST.DOCUMENT',\n0x01EB: 'PICKLIST',\n0x01ED: 'VIEW.SHOW',\n0x01EE: 'VIEW.DEFINE',\n0x01EF: 'VIEW.DELETE',\n0x01FD: 'SHEET.BACKGROUND',\n0x01FE: 'INSERT.MAP.OBJECT',\n0x01FF: 'OPTIONS.MENONO',\n0x0205: 'MSOCHECKS',\n0x0206: 'NORMAL',\n0x0207: 'LAYOUT',\n0x0208: 'RM.PRINT.AREA',\n0x0209: 'CLEAR.PRINT.AREA',\n0x020A: 'ADD.PRINT.AREA',\n0x020B: 'MOVE.BRK',\n0x0221: 'HIDECURR.NOTE',\n0x0222: 'HIDEALL.NOTES',\n0x0223: 'DELETE.NOTE',\n0x0224: 'TRAVERSE.NOTES',\n0x0225: 'ACTIVATE.NOTES',\n0x026C: 'PROTECT.REVISIONS',\n0x026D: 'UNPROTECT.REVISIONS',\n0x0287: 'OPTIONS.ME',\n0x028D: 'WEB.PUBLISH',\n0x029B: 'NEWWEBQUERY',\n0x02A1: 'PIVOT.TABLE.CHART',\n0x02F1: 'OPTIONS.SAVE',\n0x02F3: 'OPTIONS.SPELL',\n0x0328: 'HIDEALL.INKANNOTS'\n};\n\n/* [MS-XLS] 2.5.198.17 */\n/* [MS-XLSB] 2.5.97.10 */\nvar Ftab = {\n0x0000: 'COUNT',\n0x0001: 'IF',\n0x0002: 'ISNA',\n0x0003: 'ISERROR',\n0x0004: 'SUM',\n0x0005: 'AVERAGE',\n0x0006: 'MIN',\n0x0007: 'MAX',\n0x0008: 'ROW',\n0x0009: 'COLUMN',\n0x000A: 'NA',\n0x000B: 'NPV',\n0x000C: 'STDEV',\n0x000D: 'DOLLAR',\n0x000E: 'FIXED',\n0x000F: 'SIN',\n0x0010: 'COS',\n0x0011: 'TAN',\n0x0012: 'ATAN',\n0x0013: 'PI',\n0x0014: 'SQRT',\n0x0015: 'EXP',\n0x0016: 'LN',\n0x0017: 'LOG10',\n0x0018: 'ABS',\n0x0019: 'INT',\n0x001A: 'SIGN',\n0x001B: 'ROUND',\n0x001C: 'LOOKUP',\n0x001D: 'INDEX',\n0x001E: 'REPT',\n0x001F: 'MID',\n0x0020: 'LEN',\n0x0021: 'VALUE',\n0x0022: 'TRUE',\n0x0023: 'FALSE',\n0x0024: 'AND',\n0x0025: 'OR',\n0x0026: 'NOT',\n0x0027: 'MOD',\n0x0028: 'DCOUNT',\n0x0029: 'DSUM',\n0x002A: 'DAVERAGE',\n0x002B: 'DMIN',\n0x002C: 'DMAX',\n0x002D: 'DSTDEV',\n0x002E: 'VAR',\n0x002F: 'DVAR',\n0x0030: 'TEXT',\n0x0031: 'LINEST',\n0x0032: 'TREND',\n0x0033: 'LOGEST',\n0x0034: 'GROWTH',\n0x0035: 'GOTO',\n0x0036: 'HALT',\n0x0037: 'RETURN',\n0x0038: 'PV',\n0x0039: 'FV',\n0x003A: 'NPER',\n0x003B: 'PMT',\n0x003C: 'RATE',\n0x003D: 'MIRR',\n0x003E: 'IRR',\n0x003F: 'RAND',\n0x0040: 'MATCH',\n0x0041: 'DATE',\n0x0042: 'TIME',\n0x0043: 'DAY',\n0x0044: 'MONTH',\n0x0045: 'YEAR',\n0x0046: 'WEEKDAY',\n0x0047: 'HOUR',\n0x0048: 'MINUTE',\n0x0049: 'SECOND',\n0x004A: 'NOW',\n0x004B: 'AREAS',\n0x004C: 'ROWS',\n0x004D: 'COLUMNS',\n0x004E: 'OFFSET',\n0x004F: 'ABSREF',\n0x0050: 'RELREF',\n0x0051: 'ARGUMENT',\n0x0052: 'SEARCH',\n0x0053: 'TRANSPOSE',\n0x0054: 'ERROR',\n0x0055: 'STEP',\n0x0056: 'TYPE',\n0x0057: 'ECHO',\n0x0058: 'SET.NAME',\n0x0059: 'CALLER',\n0x005A: 'DEREF',\n0x005B: 'WINDOWS',\n0x005C: 'SERIES',\n0x005D: 'DOCUMENTS',\n0x005E: 'ACTIVE.CELL',\n0x005F: 'SELECTION',\n0x0060: 'RESULT',\n0x0061: 'ATAN2',\n0x0062: 'ASIN',\n0x0063: 'ACOS',\n0x0064: 'CHOOSE',\n0x0065: 'HLOOKUP',\n0x0066: 'VLOOKUP',\n0x0067: 'LINKS',\n0x0068: 'INPUT',\n0x0069: 'ISREF',\n0x006A: 'GET.FORMULA',\n0x006B: 'GET.NAME',\n0x006C: 'SET.VALUE',\n0x006D: 'LOG',\n0x006E: 'EXEC',\n0x006F: 'CHAR',\n0x0070: 'LOWER',\n0x0071: 'UPPER',\n0x0072: 'PROPER',\n0x0073: 'LEFT',\n0x0074: 'RIGHT',\n0x0075: 'EXACT',\n0x0076: 'TRIM',\n0x0077: 'REPLACE',\n0x0078: 'SUBSTITUTE',\n0x0079: 'CODE',\n0x007A: 'NAMES',\n0x007B: 'DIRECTORY',\n0x007C: 'FIND',\n0x007D: 'CELL',\n0x007E: 'ISERR',\n0x007F: 'ISTEXT',\n0x0080: 'ISNUMBER',\n0x0081: 'ISBLANK',\n0x0082: 'T',\n0x0083: 'N',\n0x0084: 'FOPEN',\n0x0085: 'FCLOSE',\n0x0086: 'FSIZE',\n0x0087: 'FREADLN',\n0x0088: 'FREAD',\n0x0089: 'FWRITELN',\n0x008A: 'FWRITE',\n0x008B: 'FPOS',\n0x008C: 'DATEVALUE',\n0x008D: 'TIMEVALUE',\n0x008E: 'SLN',\n0x008F: 'SYD',\n0x0090: 'DDB',\n0x0091: 'GET.DEF',\n0x0092: 'REFTEXT',\n0x0093: 'TEXTREF',\n0x0094: 'INDIRECT',\n0x0095: 'REGISTER',\n0x0096: 'CALL',\n0x0097: 'ADD.BAR',\n0x0098: 'ADD.MENU',\n0x0099: 'ADD.COMMAND',\n0x009A: 'ENABLE.COMMAND',\n0x009B: 'CHECK.COMMAND',\n0x009C: 'RENAME.COMMAND',\n0x009D: 'SHOW.BAR',\n0x009E: 'DELETE.MENU',\n0x009F: 'DELETE.COMMAND',\n0x00A0: 'GET.CHART.ITEM',\n0x00A1: 'DIALOG.BOX',\n0x00A2: 'CLEAN',\n0x00A3: 'MDETERM',\n0x00A4: 'MINVERSE',\n0x00A5: 'MMULT',\n0x00A6: 'FILES',\n0x00A7: 'IPMT',\n0x00A8: 'PPMT',\n0x00A9: 'COUNTA',\n0x00AA: 'CANCEL.KEY',\n0x00AB: 'FOR',\n0x00AC: 'WHILE',\n0x00AD: 'BREAK',\n0x00AE: 'NEXT',\n0x00AF: 'INITIATE',\n0x00B0: 'REQUEST',\n0x00B1: 'POKE',\n0x00B2: 'EXECUTE',\n0x00B3: 'TERMINATE',\n0x00B4: 'RESTART',\n0x00B5: 'HELP',\n0x00B6: 'GET.BAR',\n0x00B7: 'PRODUCT',\n0x00B8: 'FACT',\n0x00B9: 'GET.CELL',\n0x00BA: 'GET.WORKSPACE',\n0x00BB: 'GET.WINDOW',\n0x00BC: 'GET.DOCUMENT',\n0x00BD: 'DPRODUCT',\n0x00BE: 'ISNONTEXT',\n0x00BF: 'GET.NOTE',\n0x00C0: 'NOTE',\n0x00C1: 'STDEVP',\n0x00C2: 'VARP',\n0x00C3: 'DSTDEVP',\n0x00C4: 'DVARP',\n0x00C5: 'TRUNC',\n0x00C6: 'ISLOGICAL',\n0x00C7: 'DCOUNTA',\n0x00C8: 'DELETE.BAR',\n0x00C9: 'UNREGISTER',\n0x00CC: 'USDOLLAR',\n0x00CD: 'FINDB',\n0x00CE: 'SEARCHB',\n0x00CF: 'REPLACEB',\n0x00D0: 'LEFTB',\n0x00D1: 'RIGHTB',\n0x00D2: 'MIDB',\n0x00D3: 'LENB',\n0x00D4: 'ROUNDUP',\n0x00D5: 'ROUNDDOWN',\n0x00D6: 'ASC',\n0x00D7: 'DBCS',\n0x00D8: 'RANK',\n0x00DB: 'ADDRESS',\n0x00DC: 'DAYS360',\n0x00DD: 'TODAY',\n0x00DE: 'VDB',\n0x00DF: 'ELSE',\n0x00E0: 'ELSE.IF',\n0x00E1: 'END.IF',\n0x00E2: 'FOR.CELL',\n0x00E3: 'MEDIAN',\n0x00E4: 'SUMPRODUCT',\n0x00E5: 'SINH',\n0x00E6: 'COSH',\n0x00E7: 'TANH',\n0x00E8: 'ASINH',\n0x00E9: 'ACOSH',\n0x00EA: 'ATANH',\n0x00EB: 'DGET',\n0x00EC: 'CREATE.OBJECT',\n0x00ED: 'VOLATILE',\n0x00EE: 'LAST.ERROR',\n0x00EF: 'CUSTOM.UNDO',\n0x00F0: 'CUSTOM.REPEAT',\n0x00F1: 'FORMULA.CONVERT',\n0x00F2: 'GET.LINK.INFO',\n0x00F3: 'TEXT.BOX',\n0x00F4: 'INFO',\n0x00F5: 'GROUP',\n0x00F6: 'GET.OBJECT',\n0x00F7: 'DB',\n0x00F8: 'PAUSE',\n0x00FB: 'RESUME',\n0x00FC: 'FREQUENCY',\n0x00FD: 'ADD.TOOLBAR',\n0x00FE: 'DELETE.TOOLBAR',\n0x00FF: 'User',\n0x0100: 'RESET.TOOLBAR',\n0x0101: 'EVALUATE',\n0x0102: 'GET.TOOLBAR',\n0x0103: 'GET.TOOL',\n0x0104: 'SPELLING.CHECK',\n0x0105: 'ERROR.TYPE',\n0x0106: 'APP.TITLE',\n0x0107: 'WINDOW.TITLE',\n0x0108: 'SAVE.TOOLBAR',\n0x0109: 'ENABLE.TOOL',\n0x010A: 'PRESS.TOOL',\n0x010B: 'REGISTER.ID',\n0x010C: 'GET.WORKBOOK',\n0x010D: 'AVEDEV',\n0x010E: 'BETADIST',\n0x010F: 'GAMMALN',\n0x0110: 'BETAINV',\n0x0111: 'BINOMDIST',\n0x0112: 'CHIDIST',\n0x0113: 'CHIINV',\n0x0114: 'COMBIN',\n0x0115: 'CONFIDENCE',\n0x0116: 'CRITBINOM',\n0x0117: 'EVEN',\n0x0118: 'EXPONDIST',\n0x0119: 'FDIST',\n0x011A: 'FINV',\n0x011B: 'FISHER',\n0x011C: 'FISHERINV',\n0x011D: 'FLOOR',\n0x011E: 'GAMMADIST',\n0x011F: 'GAMMAINV',\n0x0120: 'CEILING',\n0x0121: 'HYPGEOMDIST',\n0x0122: 'LOGNORMDIST',\n0x0123: 'LOGINV',\n0x0124: 'NEGBINOMDIST',\n0x0125: 'NORMDIST',\n0x0126: 'NORMSDIST',\n0x0127: 'NORMINV',\n0x0128: 'NORMSINV',\n0x0129: 'STANDARDIZE',\n0x012A: 'ODD',\n0x012B: 'PERMUT',\n0x012C: 'POISSON',\n0x012D: 'TDIST',\n0x012E: 'WEIBULL',\n0x012F: 'SUMXMY2',\n0x0130: 'SUMX2MY2',\n0x0131: 'SUMX2PY2',\n0x0132: 'CHITEST',\n0x0133: 'CORREL',\n0x0134: 'COVAR',\n0x0135: 'FORECAST',\n0x0136: 'FTEST',\n0x0137: 'INTERCEPT',\n0x0138: 'PEARSON',\n0x0139: 'RSQ',\n0x013A: 'STEYX',\n0x013B: 'SLOPE',\n0x013C: 'TTEST',\n0x013D: 'PROB',\n0x013E: 'DEVSQ',\n0x013F: 'GEOMEAN',\n0x0140: 'HARMEAN',\n0x0141: 'SUMSQ',\n0x0142: 'KURT',\n0x0143: 'SKEW',\n0x0144: 'ZTEST',\n0x0145: 'LARGE',\n0x0146: 'SMALL',\n0x0147: 'QUARTILE',\n0x0148: 'PERCENTILE',\n0x0149: 'PERCENTRANK',\n0x014A: 'MODE',\n0x014B: 'TRIMMEAN',\n0x014C: 'TINV',\n0x014E: 'MOVIE.COMMAND',\n0x014F: 'GET.MOVIE',\n0x0150: 'CONCATENATE',\n0x0151: 'POWER',\n0x0152: 'PIVOT.ADD.DATA',\n0x0153: 'GET.PIVOT.TABLE',\n0x0154: 'GET.PIVOT.FIELD',\n0x0155: 'GET.PIVOT.ITEM',\n0x0156: 'RADIANS',\n0x0157: 'DEGREES',\n0x0158: 'SUBTOTAL',\n0x0159: 'SUMIF',\n0x015A: 'COUNTIF',\n0x015B: 'COUNTBLANK',\n0x015C: 'SCENARIO.GET',\n0x015D: 'OPTIONS.LISTS.GET',\n0x015E: 'ISPMT',\n0x015F: 'DATEDIF',\n0x0160: 'DATESTRING',\n0x0161: 'NUMBERSTRING',\n0x0162: 'ROMAN',\n0x0163: 'OPEN.DIALOG',\n0x0164: 'SAVE.DIALOG',\n0x0165: 'VIEW.GET',\n0x0166: 'GETPIVOTDATA',\n0x0167: 'HYPERLINK',\n0x0168: 'PHONETIC',\n0x0169: 'AVERAGEA',\n0x016A: 'MAXA',\n0x016B: 'MINA',\n0x016C: 'STDEVPA',\n0x016D: 'VARPA',\n0x016E: 'STDEVA',\n0x016F: 'VARA',\n0x0170: 'BAHTTEXT',\n0x0171: 'THAIDAYOFWEEK',\n0x0172: 'THAIDIGIT',\n0x0173: 'THAIMONTHOFYEAR',\n0x0174: 'THAINUMSOUND',\n0x0175: 'THAINUMSTRING',\n0x0176: 'THAISTRINGLENGTH',\n0x0177: 'ISTHAIDIGIT',\n0x0178: 'ROUNDBAHTDOWN',\n0x0179: 'ROUNDBAHTUP',\n0x017A: 'THAIYEAR',\n0x017B: 'RTD',\n\n0x017C: 'CUBEVALUE',\n0x017D: 'CUBEMEMBER',\n0x017E: 'CUBEMEMBERPROPERTY',\n0x017F: 'CUBERANKEDMEMBER',\n0x0180: 'HEX2BIN',\n0x0181: 'HEX2DEC',\n0x0182: 'HEX2OCT',\n0x0183: 'DEC2BIN',\n0x0184: 'DEC2HEX',\n0x0185: 'DEC2OCT',\n0x0186: 'OCT2BIN',\n0x0187: 'OCT2HEX',\n0x0188: 'OCT2DEC',\n0x0189: 'BIN2DEC',\n0x018A: 'BIN2OCT',\n0x018B: 'BIN2HEX',\n0x018C: 'IMSUB',\n0x018D: 'IMDIV',\n0x018E: 'IMPOWER',\n0x018F: 'IMABS',\n0x0190: 'IMSQRT',\n0x0191: 'IMLN',\n0x0192: 'IMLOG2',\n0x0193: 'IMLOG10',\n0x0194: 'IMSIN',\n0x0195: 'IMCOS',\n0x0196: 'IMEXP',\n0x0197: 'IMARGUMENT',\n0x0198: 'IMCONJUGATE',\n0x0199: 'IMAGINARY',\n0x019A: 'IMREAL',\n0x019B: 'COMPLEX',\n0x019C: 'IMSUM',\n0x019D: 'IMPRODUCT',\n0x019E: 'SERIESSUM',\n0x019F: 'FACTDOUBLE',\n0x01A0: 'SQRTPI',\n0x01A1: 'QUOTIENT',\n0x01A2: 'DELTA',\n0x01A3: 'GESTEP',\n0x01A4: 'ISEVEN',\n0x01A5: 'ISODD',\n0x01A6: 'MROUND',\n0x01A7: 'ERF',\n0x01A8: 'ERFC',\n0x01A9: 'BESSELJ',\n0x01AA: 'BESSELK',\n0x01AB: 'BESSELY',\n0x01AC: 'BESSELI',\n0x01AD: 'XIRR',\n0x01AE: 'XNPV',\n0x01AF: 'PRICEMAT',\n0x01B0: 'YIELDMAT',\n0x01B1: 'INTRATE',\n0x01B2: 'RECEIVED',\n0x01B3: 'DISC',\n0x01B4: 'PRICEDISC',\n0x01B5: 'YIELDDISC',\n0x01B6: 'TBILLEQ',\n0x01B7: 'TBILLPRICE',\n0x01B8: 'TBILLYIELD',\n0x01B9: 'PRICE',\n0x01BA: 'YIELD',\n0x01BB: 'DOLLARDE',\n0x01BC: 'DOLLARFR',\n0x01BD: 'NOMINAL',\n0x01BE: 'EFFECT',\n0x01BF: 'CUMPRINC',\n0x01C0: 'CUMIPMT',\n0x01C1: 'EDATE',\n0x01C2: 'EOMONTH',\n0x01C3: 'YEARFRAC',\n0x01C4: 'COUPDAYBS',\n0x01C5: 'COUPDAYS',\n0x01C6: 'COUPDAYSNC',\n0x01C7: 'COUPNCD',\n0x01C8: 'COUPNUM',\n0x01C9: 'COUPPCD',\n0x01CA: 'DURATION',\n0x01CB: 'MDURATION',\n0x01CC: 'ODDLPRICE',\n0x01CD: 'ODDLYIELD',\n0x01CE: 'ODDFPRICE',\n0x01CF: 'ODDFYIELD',\n0x01D0: 'RANDBETWEEN',\n0x01D1: 'WEEKNUM',\n0x01D2: 'AMORDEGRC',\n0x01D3: 'AMORLINC',\n0x01D4: 'CONVERT',\n0x02D4: 'SHEETJS',\n0x01D5: 'ACCRINT',\n0x01D6: 'ACCRINTM',\n0x01D7: 'WORKDAY',\n0x01D8: 'NETWORKDAYS',\n0x01D9: 'GCD',\n0x01DA: 'MULTINOMIAL',\n0x01DB: 'LCM',\n0x01DC: 'FVSCHEDULE',\n0x01DD: 'CUBEKPIMEMBER',\n0x01DE: 'CUBESET',\n0x01DF: 'CUBESETCOUNT',\n0x01E0: 'IFERROR',\n0x01E1: 'COUNTIFS',\n0x01E2: 'SUMIFS',\n0x01E3: 'AVERAGEIF',\n0x01E4: 'AVERAGEIFS'\n};\nvar FtabArgc = {\n0x0002: 1, /* ISNA */\n0x0003: 1, /* ISERROR */\n0x000A: 0, /* NA */\n0x000F: 1, /* SIN */\n0x0010: 1, /* COS */\n0x0011: 1, /* TAN */\n0x0012: 1, /* ATAN */\n0x0013: 0, /* PI */\n0x0014: 1, /* SQRT */\n0x0015: 1, /* EXP */\n0x0016: 1, /* LN */\n0x0017: 1, /* LOG10 */\n0x0018: 1, /* ABS */\n0x0019: 1, /* INT */\n0x001A: 1, /* SIGN */\n0x001B: 2, /* ROUND */\n0x001E: 2, /* REPT */\n0x001F: 3, /* MID */\n0x0020: 1, /* LEN */\n0x0021: 1, /* VALUE */\n0x0022: 0, /* TRUE */\n0x0023: 0, /* FALSE */\n0x0026: 1, /* NOT */\n0x0027: 2, /* MOD */\n0x0028: 3, /* DCOUNT */\n0x0029: 3, /* DSUM */\n0x002A: 3, /* DAVERAGE */\n0x002B: 3, /* DMIN */\n0x002C: 3, /* DMAX */\n0x002D: 3, /* DSTDEV */\n0x002F: 3, /* DVAR */\n0x0030: 2, /* TEXT */\n0x0035: 1, /* GOTO */\n0x003D: 3, /* MIRR */\n0x003F: 0, /* RAND */\n0x0041: 3, /* DATE */\n0x0042: 3, /* TIME */\n0x0043: 1, /* DAY */\n0x0044: 1, /* MONTH */\n0x0045: 1, /* YEAR */\n0x0046: 1, /* WEEKDAY */\n0x0047: 1, /* HOUR */\n0x0048: 1, /* MINUTE */\n0x0049: 1, /* SECOND */\n0x004A: 0, /* NOW */\n0x004B: 1, /* AREAS */\n0x004C: 1, /* ROWS */\n0x004D: 1, /* COLUMNS */\n0x004F: 2, /* ABSREF */\n0x0050: 2, /* RELREF */\n0x0053: 1, /* TRANSPOSE */\n0x0055: 0, /* STEP */\n0x0056: 1, /* TYPE */\n0x0059: 0, /* CALLER */\n0x005A: 1, /* DEREF */\n0x005E: 0, /* ACTIVE.CELL */\n0x005F: 0, /* SELECTION */\n0x0061: 2, /* ATAN2 */\n0x0062: 1, /* ASIN */\n0x0063: 1, /* ACOS */\n0x0065: 3, /* HLOOKUP */\n0x0066: 3, /* VLOOKUP */\n0x0069: 1, /* ISREF */\n0x006A: 1, /* GET.FORMULA */\n0x006C: 2, /* SET.VALUE */\n0x006F: 1, /* CHAR */\n0x0070: 1, /* LOWER */\n0x0071: 1, /* UPPER */\n0x0072: 1, /* PROPER */\n0x0075: 2, /* EXACT */\n0x0076: 1, /* TRIM */\n0x0077: 4, /* REPLACE */\n0x0079: 1, /* CODE */\n0x007E: 1, /* ISERR */\n0x007F: 1, /* ISTEXT */\n0x0080: 1, /* ISNUMBER */\n0x0081: 1, /* ISBLANK */\n0x0082: 1, /* T */\n0x0083: 1, /* N */\n0x0085: 1, /* FCLOSE */\n0x0086: 1, /* FSIZE */\n0x0087: 1, /* FREADLN */\n0x0088: 2, /* FREAD */\n0x0089: 2, /* FWRITELN */\n0x008A: 2, /* FWRITE */\n0x008C: 1, /* DATEVALUE */\n0x008D: 1, /* TIMEVALUE */\n0x008E: 3, /* SLN */\n0x008F: 4, /* SYD */\n0x0090: 4, /* DDB */\n0x00A1: 1, /* DIALOG.BOX */\n0x00A2: 1, /* CLEAN */\n0x00A3: 1, /* MDETERM */\n0x00A4: 1, /* MINVERSE */\n0x00A5: 2, /* MMULT */\n0x00AC: 1, /* WHILE */\n0x00AF: 2, /* INITIATE */\n0x00B0: 2, /* REQUEST */\n0x00B1: 3, /* POKE */\n0x00B2: 2, /* EXECUTE */\n0x00B3: 1, /* TERMINATE */\n0x00B8: 1, /* FACT */\n0x00BA: 1, /* GET.WORKSPACE */\n0x00BD: 3, /* DPRODUCT */\n0x00BE: 1, /* ISNONTEXT */\n0x00C3: 3, /* DSTDEVP */\n0x00C4: 3, /* DVARP */\n0x00C5: 1, /* TRUNC */\n0x00C6: 1, /* ISLOGICAL */\n0x00C7: 3, /* DCOUNTA */\n0x00C9: 1, /* UNREGISTER */\n0x00CF: 4, /* REPLACEB */\n0x00D2: 3, /* MIDB */\n0x00D3: 1, /* LENB */\n0x00D4: 2, /* ROUNDUP */\n0x00D5: 2, /* ROUNDDOWN */\n0x00D6: 1, /* ASC */\n0x00D7: 1, /* DBCS */\n0x00E1: 0, /* END.IF */\n0x00E5: 1, /* SINH */\n0x00E6: 1, /* COSH */\n0x00E7: 1, /* TANH */\n0x00E8: 1, /* ASINH */\n0x00E9: 1, /* ACOSH */\n0x00EA: 1, /* ATANH */\n0x00EB: 3, /* DGET */\n0x00F4: 1, /* INFO */\n0x00F7: 4, /* DB */\n0x00FC: 2, /* FREQUENCY */\n0x0101: 1, /* EVALUATE */\n0x0105: 1, /* ERROR.TYPE */\n0x010F: 1, /* GAMMALN */\n0x0111: 4, /* BINOMDIST */\n0x0112: 2, /* CHIDIST */\n0x0113: 2, /* CHIINV */\n0x0114: 2, /* COMBIN */\n0x0115: 3, /* CONFIDENCE */\n0x0116: 3, /* CRITBINOM */\n0x0117: 1, /* EVEN */\n0x0118: 3, /* EXPONDIST */\n0x0119: 3, /* FDIST */\n0x011A: 3, /* FINV */\n0x011B: 1, /* FISHER */\n0x011C: 1, /* FISHERINV */\n0x011D: 2, /* FLOOR */\n0x011E: 4, /* GAMMADIST */\n0x011F: 3, /* GAMMAINV */\n0x0120: 2, /* CEILING */\n0x0121: 4, /* HYPGEOMDIST */\n0x0122: 3, /* LOGNORMDIST */\n0x0123: 3, /* LOGINV */\n0x0124: 3, /* NEGBINOMDIST */\n0x0125: 4, /* NORMDIST */\n0x0126: 1, /* NORMSDIST */\n0x0127: 3, /* NORMINV */\n0x0128: 1, /* NORMSINV */\n0x0129: 3, /* STANDARDIZE */\n0x012A: 1, /* ODD */\n0x012B: 2, /* PERMUT */\n0x012C: 3, /* POISSON */\n0x012D: 3, /* TDIST */\n0x012E: 4, /* WEIBULL */\n0x012F: 2, /* SUMXMY2 */\n0x0130: 2, /* SUMX2MY2 */\n0x0131: 2, /* SUMX2PY2 */\n0x0132: 2, /* CHITEST */\n0x0133: 2, /* CORREL */\n0x0134: 2, /* COVAR */\n0x0135: 3, /* FORECAST */\n0x0136: 2, /* FTEST */\n0x0137: 2, /* INTERCEPT */\n0x0138: 2, /* PEARSON */\n0x0139: 2, /* RSQ */\n0x013A: 2, /* STEYX */\n0x013B: 2, /* SLOPE */\n0x013C: 4, /* TTEST */\n0x0145: 2, /* LARGE */\n0x0146: 2, /* SMALL */\n0x0147: 2, /* QUARTILE */\n0x0148: 2, /* PERCENTILE */\n0x014B: 2, /* TRIMMEAN */\n0x014C: 2, /* TINV */\n0x0151: 2, /* POWER */\n0x0156: 1, /* RADIANS */\n0x0157: 1, /* DEGREES */\n0x015A: 2, /* COUNTIF */\n0x015B: 1, /* COUNTBLANK */\n0x015E: 4, /* ISPMT */\n0x015F: 3, /* DATEDIF */\n0x0160: 1, /* DATESTRING */\n0x0161: 2, /* NUMBERSTRING */\n0x0168: 1, /* PHONETIC */\n0x0170: 1, /* BAHTTEXT */\n0x0171: 1, /* THAIDAYOFWEEK */\n0x0172: 1, /* THAIDIGIT */\n0x0173: 1, /* THAIMONTHOFYEAR */\n0x0174: 1, /* THAINUMSOUND */\n0x0175: 1, /* THAINUMSTRING */\n0x0176: 1, /* THAISTRINGLENGTH */\n0x0177: 1, /* ISTHAIDIGIT */\n0x0178: 1, /* ROUNDBAHTDOWN */\n0x0179: 1, /* ROUNDBAHTUP */\n0x017A: 1, /* THAIYEAR */\n0x017E: 3, /* CUBEMEMBERPROPERTY */\n0x0181: 1, /* HEX2DEC */\n0x0188: 1, /* OCT2DEC */\n0x0189: 1, /* BIN2DEC */\n0x018C: 2, /* IMSUB */\n0x018D: 2, /* IMDIV */\n0x018E: 2, /* IMPOWER */\n0x018F: 1, /* IMABS */\n0x0190: 1, /* IMSQRT */\n0x0191: 1, /* IMLN */\n0x0192: 1, /* IMLOG2 */\n0x0193: 1, /* IMLOG10 */\n0x0194: 1, /* IMSIN */\n0x0195: 1, /* IMCOS */\n0x0196: 1, /* IMEXP */\n0x0197: 1, /* IMARGUMENT */\n0x0198: 1, /* IMCONJUGATE */\n0x0199: 1, /* IMAGINARY */\n0x019A: 1, /* IMREAL */\n0x019E: 4, /* SERIESSUM */\n0x019F: 1, /* FACTDOUBLE */\n0x01A0: 1, /* SQRTPI */\n0x01A1: 2, /* QUOTIENT */\n0x01A4: 1, /* ISEVEN */\n0x01A5: 1, /* ISODD */\n0x01A6: 2, /* MROUND */\n0x01A8: 1, /* ERFC */\n0x01A9: 2, /* BESSELJ */\n0x01AA: 2, /* BESSELK */\n0x01AB: 2, /* BESSELY */\n0x01AC: 2, /* BESSELI */\n0x01AE: 3, /* XNPV */\n0x01B6: 3, /* TBILLEQ */\n0x01B7: 3, /* TBILLPRICE */\n0x01B8: 3, /* TBILLYIELD */\n0x01BB: 2, /* DOLLARDE */\n0x01BC: 2, /* DOLLARFR */\n0x01BD: 2, /* NOMINAL */\n0x01BE: 2, /* EFFECT */\n0x01BF: 6, /* CUMPRINC */\n0x01C0: 6, /* CUMIPMT */\n0x01C1: 2, /* EDATE */\n0x01C2: 2, /* EOMONTH */\n0x01D0: 2, /* RANDBETWEEN */\n0x01D4: 3, /* CONVERT */\n0x01DC: 2, /* FVSCHEDULE */\n0x01DF: 1, /* CUBESETCOUNT */\n0x01E0: 2, /* IFERROR */\n0xFFFF: 0\n};\n/* [MS-XLSX] 2.2.3 Functions */\n/* [MS-XLSB] 2.5.97.10 Ftab */\nvar XLSXFutureFunctions = {\n\t\"_xlfn.ACOT\": \"ACOT\",\n\t\"_xlfn.ACOTH\": \"ACOTH\",\n\t\"_xlfn.AGGREGATE\": \"AGGREGATE\",\n\t\"_xlfn.ARABIC\": \"ARABIC\",\n\t\"_xlfn.AVERAGEIF\": \"AVERAGEIF\",\n\t\"_xlfn.AVERAGEIFS\": \"AVERAGEIFS\",\n\t\"_xlfn.BASE\": \"BASE\",\n\t\"_xlfn.BETA.DIST\": \"BETA.DIST\",\n\t\"_xlfn.BETA.INV\": \"BETA.INV\",\n\t\"_xlfn.BINOM.DIST\": \"BINOM.DIST\",\n\t\"_xlfn.BINOM.DIST.RANGE\": \"BINOM.DIST.RANGE\",\n\t\"_xlfn.BINOM.INV\": \"BINOM.INV\",\n\t\"_xlfn.BITAND\": \"BITAND\",\n\t\"_xlfn.BITLSHIFT\": \"BITLSHIFT\",\n\t\"_xlfn.BITOR\": \"BITOR\",\n\t\"_xlfn.BITRSHIFT\": \"BITRSHIFT\",\n\t\"_xlfn.BITXOR\": \"BITXOR\",\n\t\"_xlfn.CEILING.MATH\": \"CEILING.MATH\",\n\t\"_xlfn.CEILING.PRECISE\": \"CEILING.PRECISE\",\n\t\"_xlfn.CHISQ.DIST\": \"CHISQ.DIST\",\n\t\"_xlfn.CHISQ.DIST.RT\": \"CHISQ.DIST.RT\",\n\t\"_xlfn.CHISQ.INV\": \"CHISQ.INV\",\n\t\"_xlfn.CHISQ.INV.RT\": \"CHISQ.INV.RT\",\n\t\"_xlfn.CHISQ.TEST\": \"CHISQ.TEST\",\n\t\"_xlfn.COMBINA\": \"COMBINA\",\n\t\"_xlfn.CONCAT\": \"CONCAT\",\n\t\"_xlfn.CONFIDENCE.NORM\": \"CONFIDENCE.NORM\",\n\t\"_xlfn.CONFIDENCE.T\": \"CONFIDENCE.T\",\n\t\"_xlfn.COT\": \"COT\",\n\t\"_xlfn.COTH\": \"COTH\",\n\t\"_xlfn.COUNTIFS\": \"COUNTIFS\",\n\t\"_xlfn.COVARIANCE.P\": \"COVARIANCE.P\",\n\t\"_xlfn.COVARIANCE.S\": \"COVARIANCE.S\",\n\t\"_xlfn.CSC\": \"CSC\",\n\t\"_xlfn.CSCH\": \"CSCH\",\n\t\"_xlfn.DAYS\": \"DAYS\",\n\t\"_xlfn.DECIMAL\": \"DECIMAL\",\n\t\"_xlfn.ECMA.CEILING\": \"ECMA.CEILING\",\n\t\"_xlfn.ERF.PRECISE\": \"ERF.PRECISE\",\n\t\"_xlfn.ERFC.PRECISE\": \"ERFC.PRECISE\",\n\t\"_xlfn.EXPON.DIST\": \"EXPON.DIST\",\n\t\"_xlfn.F.DIST\": \"F.DIST\",\n\t\"_xlfn.F.DIST.RT\": \"F.DIST.RT\",\n\t\"_xlfn.F.INV\": \"F.INV\",\n\t\"_xlfn.F.INV.RT\": \"F.INV.RT\",\n\t\"_xlfn.F.TEST\": \"F.TEST\",\n\t\"_xlfn.FILTERXML\": \"FILTERXML\",\n\t\"_xlfn.FLOOR.MATH\": \"FLOOR.MATH\",\n\t\"_xlfn.FLOOR.PRECISE\": \"FLOOR.PRECISE\",\n\t\"_xlfn.FORECAST.ETS\": \"FORECAST.ETS\",\n\t\"_xlfn.FORECAST.ETS.CONFINT\": \"FORECAST.ETS.CONFINT\",\n\t\"_xlfn.FORECAST.ETS.SEASONALITY\": \"FORECAST.ETS.SEASONALITY\",\n\t\"_xlfn.FORECAST.ETS.STAT\": \"FORECAST.ETS.STAT\",\n\t\"_xlfn.FORECAST.LINEAR\": \"FORECAST.LINEAR\",\n\t\"_xlfn.FORMULATEXT\": \"FORMULATEXT\",\n\t\"_xlfn.GAMMA\": \"GAMMA\",\n\t\"_xlfn.GAMMA.DIST\": \"GAMMA.DIST\",\n\t\"_xlfn.GAMMA.INV\": \"GAMMA.INV\",\n\t\"_xlfn.GAMMALN.PRECISE\": \"GAMMALN.PRECISE\",\n\t\"_xlfn.GAUSS\": \"GAUSS\",\n\t\"_xlfn.HYPGEOM.DIST\": \"HYPGEOM.DIST\",\n\t\"_xlfn.IFERROR\": \"IFERROR\",\n\t\"_xlfn.IFNA\": \"IFNA\",\n\t\"_xlfn.IFS\": \"IFS\",\n\t\"_xlfn.IMCOSH\": \"IMCOSH\",\n\t\"_xlfn.IMCOT\": \"IMCOT\",\n\t\"_xlfn.IMCSC\": \"IMCSC\",\n\t\"_xlfn.IMCSCH\": \"IMCSCH\",\n\t\"_xlfn.IMSEC\": \"IMSEC\",\n\t\"_xlfn.IMSECH\": \"IMSECH\",\n\t\"_xlfn.IMSINH\": \"IMSINH\",\n\t\"_xlfn.IMTAN\": \"IMTAN\",\n\t\"_xlfn.ISFORMULA\": \"ISFORMULA\",\n\t\"_xlfn.ISO.CEILING\": \"ISO.CEILING\",\n\t\"_xlfn.ISOWEEKNUM\": \"ISOWEEKNUM\",\n\t\"_xlfn.LOGNORM.DIST\": \"LOGNORM.DIST\",\n\t\"_xlfn.LOGNORM.INV\": \"LOGNORM.INV\",\n\t\"_xlfn.MAXIFS\": \"MAXIFS\",\n\t\"_xlfn.MINIFS\": \"MINIFS\",\n\t\"_xlfn.MODE.MULT\": \"MODE.MULT\",\n\t\"_xlfn.MODE.SNGL\": \"MODE.SNGL\",\n\t\"_xlfn.MUNIT\": \"MUNIT\",\n\t\"_xlfn.NEGBINOM.DIST\": \"NEGBINOM.DIST\",\n\t\"_xlfn.NETWORKDAYS.INTL\": \"NETWORKDAYS.INTL\",\n\t\"_xlfn.NIGBINOM\": \"NIGBINOM\",\n\t\"_xlfn.NORM.DIST\": \"NORM.DIST\",\n\t\"_xlfn.NORM.INV\": \"NORM.INV\",\n\t\"_xlfn.NORM.S.DIST\": \"NORM.S.DIST\",\n\t\"_xlfn.NORM.S.INV\": \"NORM.S.INV\",\n\t\"_xlfn.NUMBERVALUE\": \"NUMBERVALUE\",\n\t\"_xlfn.PDURATION\": \"PDURATION\",\n\t\"_xlfn.PERCENTILE.EXC\": \"PERCENTILE.EXC\",\n\t\"_xlfn.PERCENTILE.INC\": \"PERCENTILE.INC\",\n\t\"_xlfn.PERCENTRANK.EXC\": \"PERCENTRANK.EXC\",\n\t\"_xlfn.PERCENTRANK.INC\": \"PERCENTRANK.INC\",\n\t\"_xlfn.PERMUTATIONA\": \"PERMUTATIONA\",\n\t\"_xlfn.PHI\": \"PHI\",\n\t\"_xlfn.POISSON.DIST\": \"POISSON.DIST\",\n\t\"_xlfn.QUARTILE.EXC\": \"QUARTILE.EXC\",\n\t\"_xlfn.QUARTILE.INC\": \"QUARTILE.INC\",\n\t\"_xlfn.QUERYSTRING\": \"QUERYSTRING\",\n\t\"_xlfn.RANK.AVG\": \"RANK.AVG\",\n\t\"_xlfn.RANK.EQ\": \"RANK.EQ\",\n\t\"_xlfn.RRI\": \"RRI\",\n\t\"_xlfn.SEC\": \"SEC\",\n\t\"_xlfn.SECH\": \"SECH\",\n\t\"_xlfn.SHEET\": \"SHEET\",\n\t\"_xlfn.SHEETS\": \"SHEETS\",\n\t\"_xlfn.SKEW.P\": \"SKEW.P\",\n\t\"_xlfn.STDEV.P\": \"STDEV.P\",\n\t\"_xlfn.STDEV.S\": \"STDEV.S\",\n\t\"_xlfn.SUMIFS\": \"SUMIFS\",\n\t\"_xlfn.SWITCH\": \"SWITCH\",\n\t\"_xlfn.T.DIST\": \"T.DIST\",\n\t\"_xlfn.T.DIST.2T\": \"T.DIST.2T\",\n\t\"_xlfn.T.DIST.RT\": \"T.DIST.RT\",\n\t\"_xlfn.T.INV\": \"T.INV\",\n\t\"_xlfn.T.INV.2T\": \"T.INV.2T\",\n\t\"_xlfn.T.TEST\": \"T.TEST\",\n\t\"_xlfn.TEXTJOIN\": \"TEXTJOIN\",\n\t\"_xlfn.UNICHAR\": \"UNICHAR\",\n\t\"_xlfn.UNICODE\": \"UNICODE\",\n\t\"_xlfn.VAR.P\": \"VAR.P\",\n\t\"_xlfn.VAR.S\": \"VAR.S\",\n\t\"_xlfn.WEBSERVICE\": \"WEBSERVICE\",\n\t\"_xlfn.WEIBULL.DIST\": \"WEIBULL.DIST\",\n\t\"_xlfn.WORKDAY.INTL\": \"WORKDAY.INTL\",\n\t\"_xlfn.XOR\": \"XOR\",\n\t\"_xlfn.Z.TEST\": \"Z.TEST\"\n};\n\n/* Part 3 TODO: actually parse formulae */\nfunction ods_to_csf_formula(f) {\n\tif(f.slice(0,3) == \"of:\") f = f.slice(3);\n\t/* 5.2 Basic Expressions */\n\tif(f.charCodeAt(0) == 61) {\n\t\tf = f.slice(1);\n\t\tif(f.charCodeAt(0) == 61) f = f.slice(1);\n\t}\n\tf = f.replace(/COM\\.MICROSOFT\\./g, \"\");\n\t/* Part 3 Section 5.8 References */\n\tf = f.replace(/\\[((?:\\.[A-Z]+[0-9]+)(?::\\.[A-Z]+[0-9]+)?)\\]/g, function($$, $1) { return $1.replace(/\\./g,\"\"); });\n\t/* TODO: something other than this */\n\tf = f.replace(/\\[.(#[A-Z]*[?!])\\]/g, \"$1\");\n\treturn f.replace(/[;~]/g,\",\").replace(/\\|/g,\";\");\n}\n\nfunction csf_to_ods_formula(f) {\n\tvar o = \"of:=\" + f.replace(crefregex, \"$1[.$2$3$4$5]\").replace(/\\]:\\[/g,\":\");\n\t/* TODO: something other than this */\n\treturn o.replace(/;/g, \"|\").replace(/,/g,\";\");\n}\n\nfunction ods_to_csf_3D(r) {\n\tvar a = r.split(\":\");\n\tvar s = a[0].split(\".\")[0];\n\treturn [s, a[0].split(\".\")[1] + (a.length > 1 ? (\":\" + (a[1].split(\".\")[1] || a[1].split(\".\")[0])) : \"\")];\n}\n\nfunction csf_to_ods_3D(r) {\n\treturn r.replace(/\\./,\"!\");\n}\n\nvar strs = {}; // shared strings\nvar _ssfopts = {}; // spreadsheet formatting options\n\nRELS.WS = [\n\t\"http://schemas.openxmlformats.org/officeDocument/2006/relationships/worksheet\",\n\t\"http://purl.oclc.org/ooxml/officeDocument/relationships/worksheet\"\n];\n\n/*global Map */\nvar browser_has_Map = typeof Map !== 'undefined';\n\nfunction get_sst_id(sst, str, rev) {\n\tvar i = 0, len = sst.length;\n\tif(rev) {\n\t\tif(browser_has_Map ? rev.has(str) : Object.prototype.hasOwnProperty.call(rev, str)) {\n\t\t\tvar revarr = browser_has_Map ? rev.get(str) : rev[str];\n\t\t\tfor(; i < revarr.length; ++i) {\n\t\t\t\tif(sst[revarr[i]].t === str) { sst.Count ++; return revarr[i]; }\n\t\t\t}\n\t\t}\n\t} else for(; i < len; ++i) {\n\t\tif(sst[i].t === str) { sst.Count ++; return i; }\n\t}\n\tsst[len] = ({t:str}); sst.Count ++; sst.Unique ++;\n\tif(rev) {\n\t\tif(browser_has_Map) {\n\t\t\tif(!rev.has(str)) rev.set(str, []);\n\t\t\trev.get(str).push(len);\n\t\t} else {\n\t\t\tif(!Object.prototype.hasOwnProperty.call(rev, str)) rev[str] = [];\n\t\t\trev[str].push(len);\n\t\t}\n\t}\n\treturn len;\n}\n\nfunction col_obj_w(C, col) {\n\tvar p = ({min:C+1,max:C+1});\n\t/* wch (chars), wpx (pixels) */\n\tvar wch = -1;\n\tif(col.MDW) MDW = col.MDW;\n\tif(col.width != null) p.customWidth = 1;\n\telse if(col.wpx != null) wch = px2char(col.wpx);\n\telse if(col.wch != null) wch = col.wch;\n\tif(wch > -1) { p.width = char2width(wch); p.customWidth = 1; }\n\telse if(col.width != null) p.width = col.width;\n\tif(col.hidden) p.hidden = true;\n\treturn p;\n}\n\nfunction default_margins(margins, mode) {\n\tif(!margins) return;\n\tvar defs = [0.7, 0.7, 0.75, 0.75, 0.3, 0.3];\n\tif(mode == 'xlml') defs = [1, 1, 1, 1, 0.5, 0.5];\n\tif(margins.left == null) margins.left = defs[0];\n\tif(margins.right == null) margins.right = defs[1];\n\tif(margins.top == null) margins.top = defs[2];\n\tif(margins.bottom == null) margins.bottom = defs[3];\n\tif(margins.header == null) margins.header = defs[4];\n\tif(margins.footer == null) margins.footer = defs[5];\n}\n\nfunction get_cell_style(styles, cell, opts) {\n\tvar z = opts.revssf[cell.z != null ? cell.z : \"General\"];\n\tvar i = 0x3c, len = styles.length;\n\tif(z == null && opts.ssf) {\n\t\tfor(; i < 0x188; ++i) if(opts.ssf[i] == null) {\n\t\t\tSSF.load(cell.z, i);\n\t\t\t// $FlowIgnore\n\t\t\topts.ssf[i] = cell.z;\n\t\t\topts.revssf[cell.z] = z = i;\n\t\t\tbreak;\n\t\t}\n\t}\n\tfor(i = 0; i != len; ++i) if(styles[i].numFmtId === z) return i;\n\tstyles[len] = {\n\t\tnumFmtId:z,\n\t\tfontId:0,\n\t\tfillId:0,\n\t\tborderId:0,\n\t\txfId:0,\n\t\tapplyNumberFormat:1\n\t};\n\treturn len;\n}\n\nfunction safe_format(p, fmtid, fillid, opts, themes, styles) {\n\ttry {\n\t\tif(opts.cellNF) p.z = SSF._table[fmtid];\n\t} catch(e) { if(opts.WTF) throw e; }\n\tif(p.t === 'z') return;\n\tif(p.t === 'd' && typeof p.v === 'string') p.v = parseDate(p.v);\n\tif(!opts || opts.cellText !== false) try {\n\t\tif(SSF._table[fmtid] == null) SSF.load(SSFImplicit[fmtid] || \"General\", fmtid);\n\t\tif(p.t === 'e') p.w = p.w || BErr[p.v];\n\t\telse if(fmtid === 0) {\n\t\t\tif(p.t === 'n') {\n\t\t\t\tif((p.v|0) === p.v) p.w = SSF._general_int(p.v);\n\t\t\t\telse p.w = SSF._general_num(p.v);\n\t\t\t}\n\t\t\telse if(p.t === 'd') {\n\t\t\t\tvar dd = datenum(p.v);\n\t\t\t\tif((dd|0) === dd) p.w = SSF._general_int(dd);\n\t\t\t\telse p.w = SSF._general_num(dd);\n\t\t\t}\n\t\t\telse if(p.v === undefined) return \"\";\n\t\t\telse p.w = SSF._general(p.v,_ssfopts);\n\t\t}\n\t\telse if(p.t === 'd') p.w = SSF.format(fmtid,datenum(p.v),_ssfopts);\n\t\telse p.w = SSF.format(fmtid,p.v,_ssfopts);\n\t} catch(e) { if(opts.WTF) throw e; }\n\tif(!opts.cellStyles) return;\n\tif(fillid != null) try {\n\t\tp.s = styles.Fills[fillid];\n\t\tif (p.s.fgColor && p.s.fgColor.theme && !p.s.fgColor.rgb) {\n\t\t\tp.s.fgColor.rgb = rgb_tint(themes.themeElements.clrScheme[p.s.fgColor.theme].rgb, p.s.fgColor.tint || 0);\n\t\t\tif(opts.WTF) p.s.fgColor.raw_rgb = themes.themeElements.clrScheme[p.s.fgColor.theme].rgb;\n\t\t}\n\t\tif (p.s.bgColor && p.s.bgColor.theme) {\n\t\t\tp.s.bgColor.rgb = rgb_tint(themes.themeElements.clrScheme[p.s.bgColor.theme].rgb, p.s.bgColor.tint || 0);\n\t\t\tif(opts.WTF) p.s.bgColor.raw_rgb = themes.themeElements.clrScheme[p.s.bgColor.theme].rgb;\n\t\t}\n\t} catch(e) { if(opts.WTF && styles.Fills) throw e; }\n}\n\nfunction check_ws(ws, sname, i) {\n\tif(ws && ws['!ref']) {\n\t\tvar range = safe_decode_range(ws['!ref']);\n\t\tif(range.e.c < range.s.c || range.e.r < range.s.r) throw new Error(\"Bad range (\" + i + \"): \" + ws['!ref']);\n\t}\n}\nfunction parse_ws_xml_dim(ws, s) {\n\tvar d = safe_decode_range(s);\n\tif(d.s.r<=d.e.r && d.s.c<=d.e.c && d.s.r>=0 && d.s.c>=0) ws[\"!ref\"] = encode_range(d);\n}\nvar mergecregex = /<(?:\\w:)?mergeCell ref=\"[A-Z0-9:]+\"\\s*[\\/]?>/g;\nvar sheetdataregex = /<(?:\\w+:)?sheetData[^>]*>([\\s\\S]*)<\\/(?:\\w+:)?sheetData>/;\nvar hlinkregex = /<(?:\\w:)?hyperlink [^>]*>/mg;\nvar dimregex = /\"(\\w*:\\w*)\"/;\nvar colregex = /<(?:\\w:)?col\\b[^>]*[\\/]?>/g;\nvar afregex = /<(?:\\w:)?autoFilter[^>]*([\\/]|>([\\s\\S]*)<\\/(?:\\w:)?autoFilter)>/g;\nvar marginregex= /<(?:\\w:)?pageMargins[^>]*\\/>/g;\nvar sheetprregex = /<(?:\\w:)?sheetPr\\b(?:[^>a-z][^>]*)?\\/>/;\nvar svsregex = /<(?:\\w:)?sheetViews[^>]*(?:[\\/]|>([\\s\\S]*)<\\/(?:\\w:)?sheetViews)>/;\n\n/* 18.3 Worksheets */\nfunction parse_ws_xml(data, opts, idx, rels, wb, themes, styles) {\n\tif(!data) return data;\n\tif(!rels) rels = {'!id':{}};\n\tif(DENSE != null && opts.dense == null) opts.dense = DENSE;\n\n\t/* 18.3.1.99 worksheet CT_Worksheet */\n\tvar s = opts.dense ? ([]) : ({});\n\tvar refguess = ({s: {r:2000000, c:2000000}, e: {r:0, c:0} });\n\n\tvar data1 = \"\", data2 = \"\";\n\tvar mtch = data.match(sheetdataregex);\n\tif(mtch) {\n\t\tdata1 = data.slice(0, mtch.index);\n\t\tdata2 = data.slice(mtch.index + mtch[0].length);\n\t} else data1 = data2 = data;\n\n\t/* 18.3.1.82 sheetPr CT_SheetPr */\n\tvar sheetPr = data1.match(sheetprregex);\n\tif(sheetPr) parse_ws_xml_sheetpr(sheetPr[0], s, wb, idx);\n\n\t/* 18.3.1.35 dimension CT_SheetDimension */\n\tvar ridx = (data1.match(/<(?:\\w*:)?dimension/)||{index:-1}).index;\n\tif(ridx > 0) {\n\t\tvar ref = data1.slice(ridx,ridx+50).match(dimregex);\n\t\tif(ref) parse_ws_xml_dim(s, ref[1]);\n\t}\n\n\t/* 18.3.1.88 sheetViews CT_SheetViews */\n\tvar svs = data1.match(svsregex);\n\tif(svs && svs[1]) parse_ws_xml_sheetviews(svs[1], wb);\n\n\t/* 18.3.1.17 cols CT_Cols */\n\tvar columns = [];\n\tif(opts.cellStyles) {\n\t\t/* 18.3.1.13 col CT_Col */\n\t\tvar cols = data1.match(colregex);\n\t\tif(cols) parse_ws_xml_cols(columns, cols);\n\t}\n\n\t/* 18.3.1.80 sheetData CT_SheetData ? */\n\tif(mtch) parse_ws_xml_data(mtch[1], s, opts, refguess, themes, styles);\n\n\t/* 18.3.1.2 autoFilter CT_AutoFilter */\n\tvar afilter = data2.match(afregex);\n\tif(afilter) s['!autofilter'] = parse_ws_xml_autofilter(afilter[0]);\n\n\t/* 18.3.1.55 mergeCells CT_MergeCells */\n\tvar merges = [];\n\tvar _merge = data2.match(mergecregex);\n\tif(_merge) for(ridx = 0; ridx != _merge.length; ++ridx)\n\t\tmerges[ridx] = safe_decode_range(_merge[ridx].slice(_merge[ridx].indexOf(\"\\\"\")+1));\n\n\t/* 18.3.1.48 hyperlinks CT_Hyperlinks */\n\tvar hlink = data2.match(hlinkregex);\n\tif(hlink) parse_ws_xml_hlinks(s, hlink, rels);\n\n\t/* 18.3.1.62 pageMargins CT_PageMargins */\n\tvar margins = data2.match(marginregex);\n\tif(margins) s['!margins'] = parse_ws_xml_margins(parsexmltag(margins[0]));\n\n\tif(!s[\"!ref\"] && refguess.e.c >= refguess.s.c && refguess.e.r >= refguess.s.r) s[\"!ref\"] = encode_range(refguess);\n\tif(opts.sheetRows > 0 && s[\"!ref\"]) {\n\t\tvar tmpref = safe_decode_range(s[\"!ref\"]);\n\t\tif(opts.sheetRows <= +tmpref.e.r) {\n\t\t\ttmpref.e.r = opts.sheetRows - 1;\n\t\t\tif(tmpref.e.r > refguess.e.r) tmpref.e.r = refguess.e.r;\n\t\t\tif(tmpref.e.r < tmpref.s.r) tmpref.s.r = tmpref.e.r;\n\t\t\tif(tmpref.e.c > refguess.e.c) tmpref.e.c = refguess.e.c;\n\t\t\tif(tmpref.e.c < tmpref.s.c) tmpref.s.c = tmpref.e.c;\n\t\t\ts[\"!fullref\"] = s[\"!ref\"];\n\t\t\ts[\"!ref\"] = encode_range(tmpref);\n\t\t}\n\t}\n\tif(columns.length > 0) s[\"!cols\"] = columns;\n\tif(merges.length > 0) s[\"!merges\"] = merges;\n\treturn s;\n}\n\nfunction write_ws_xml_merges(merges) {\n\tif(merges.length === 0) return \"\";\n\tvar o = '';\n\tfor(var i = 0; i != merges.length; ++i) o += '';\n\treturn o + '';\n}\n\n/* 18.3.1.82-3 sheetPr CT_ChartsheetPr / CT_SheetPr */\nfunction parse_ws_xml_sheetpr(sheetPr, s, wb, idx) {\n\tvar data = parsexmltag(sheetPr);\n\tif(!wb.Sheets[idx]) wb.Sheets[idx] = {};\n\tif(data.codeName) wb.Sheets[idx].CodeName = unescapexml(utf8read(data.codeName));\n}\nfunction write_ws_xml_sheetpr(ws, wb, idx, opts, o) {\n\tvar needed = false;\n\tvar props = {}, payload = null;\n\tif(opts.bookType !== 'xlsx' && wb.vbaraw) {\n\t\tvar cname = wb.SheetNames[idx];\n\t\ttry { if(wb.Workbook) cname = wb.Workbook.Sheets[idx].CodeName || cname; } catch(e) {}\n\t\tneeded = true;\n\t\tprops.codeName = utf8write(escapexml(cname));\n\t}\n\n\tif(ws && ws[\"!outline\"]) {\n\t\tvar outlineprops = {summaryBelow:1, summaryRight:1};\n\t\tif(ws[\"!outline\"].above) outlineprops.summaryBelow = 0;\n\t\tif(ws[\"!outline\"].left) outlineprops.summaryRight = 0;\n\t\tpayload = (payload||\"\") + writextag('outlinePr', null, outlineprops);\n\t}\n\n\tif(!needed && !payload) return;\n\to[o.length] = (writextag('sheetPr', payload, props));\n}\n\n/* 18.3.1.85 sheetProtection CT_SheetProtection */\nvar sheetprot_deffalse = [\"objects\", \"scenarios\", \"selectLockedCells\", \"selectUnlockedCells\"];\nvar sheetprot_deftrue = [\n\t\"formatColumns\", \"formatRows\", \"formatCells\",\n\t\"insertColumns\", \"insertRows\", \"insertHyperlinks\",\n\t\"deleteColumns\", \"deleteRows\",\n\t\"sort\", \"autoFilter\", \"pivotTables\"\n];\nfunction write_ws_xml_protection(sp) {\n\t// algorithmName, hashValue, saltValue, spinCount\n\tvar o = ({sheet:1});\n\tsheetprot_deffalse.forEach(function(n) { if(sp[n] != null && sp[n]) o[n] = \"1\"; });\n\tsheetprot_deftrue.forEach(function(n) { if(sp[n] != null && !sp[n]) o[n] = \"0\"; });\n\t/* TODO: algorithm */\n\tif(sp.password) o.password = crypto_CreatePasswordVerifier_Method1(sp.password).toString(16).toUpperCase();\n\treturn writextag('sheetProtection', null, o);\n}\n\nfunction parse_ws_xml_hlinks(s, data, rels) {\n\tvar dense = Array.isArray(s);\n\tfor(var i = 0; i != data.length; ++i) {\n\t\tvar val = parsexmltag(utf8read(data[i]), true);\n\t\tif(!val.ref) return;\n\t\tvar rel = ((rels || {})['!id']||[])[val.id];\n\t\tif(rel) {\n\t\t\tval.Target = rel.Target;\n\t\t\tif(val.location) val.Target += \"#\"+val.location;\n\t\t} else {\n\t\t\tval.Target = \"#\" + val.location;\n\t\t\trel = {Target: val.Target, TargetMode: 'Internal'};\n\t\t}\n\t\tval.Rel = rel;\n\t\tif(val.tooltip) { val.Tooltip = val.tooltip; delete val.tooltip; }\n\t\tvar rng = safe_decode_range(val.ref);\n\t\tfor(var R=rng.s.r;R<=rng.e.r;++R) for(var C=rng.s.c;C<=rng.e.c;++C) {\n\t\t\tvar addr = encode_cell({c:C,r:R});\n\t\t\tif(dense) {\n\t\t\t\tif(!s[R]) s[R] = [];\n\t\t\t\tif(!s[R][C]) s[R][C] = {t:\"z\",v:undefined};\n\t\t\t\ts[R][C].l = val;\n\t\t\t} else {\n\t\t\t\tif(!s[addr]) s[addr] = {t:\"z\",v:undefined};\n\t\t\t\ts[addr].l = val;\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunction parse_ws_xml_margins(margin) {\n\tvar o = {};\n\t[\"left\", \"right\", \"top\", \"bottom\", \"header\", \"footer\"].forEach(function(k) {\n\t\tif(margin[k]) o[k] = parseFloat(margin[k]);\n\t});\n\treturn o;\n}\nfunction write_ws_xml_margins(margin) {\n\tdefault_margins(margin);\n\treturn writextag('pageMargins', null, margin);\n}\n\nfunction parse_ws_xml_cols(columns, cols) {\n\tvar seencol = false;\n\tfor(var coli = 0; coli != cols.length; ++coli) {\n\t\tvar coll = parsexmltag(cols[coli], true);\n\t\tif(coll.hidden) coll.hidden = parsexmlbool(coll.hidden);\n\t\tvar colm=parseInt(coll.min, 10)-1, colM=parseInt(coll.max,10)-1;\n\t\tdelete coll.min; delete coll.max; coll.width = +coll.width;\n\t\tif(!seencol && coll.width) { seencol = true; find_mdw_colw(coll.width); }\n\t\tprocess_col(coll);\n\t\twhile(colm <= colM) columns[colm++] = dup(coll);\n\t}\n}\nfunction write_ws_xml_cols(ws, cols) {\n\tvar o = [\"\"], col;\n\tfor(var i = 0; i != cols.length; ++i) {\n\t\tif(!(col = cols[i])) continue;\n\t\to[o.length] = (writextag('col', null, col_obj_w(i, col)));\n\t}\n\to[o.length] = \"\";\n\treturn o.join(\"\");\n}\n\nfunction parse_ws_xml_autofilter(data) {\n\tvar o = { ref: (data.match(/ref=\"([^\"]*)\"/)||[])[1]};\n\treturn o;\n}\nfunction write_ws_xml_autofilter(data, ws, wb, idx) {\n\tvar ref = typeof data.ref == \"string\" ? data.ref : encode_range(data.ref);\n\tif(!wb.Workbook) wb.Workbook = ({Sheets:[]});\n\tif(!wb.Workbook.Names) wb.Workbook.Names = [];\n\tvar names = wb.Workbook.Names;\n\tvar range = decode_range(ref);\n\tif(range.s.r == range.e.r) { range.e.r = decode_range(ws[\"!ref\"]).e.r; ref = encode_range(range); }\n\tfor(var i = 0; i < names.length; ++i) {\n\t\tvar name = names[i];\n\t\tif(name.Name != '_xlnm._FilterDatabase') continue;\n\t\tif(name.Sheet != idx) continue;\n\t\tname.Ref = \"'\" + wb.SheetNames[idx] + \"'!\" + ref; break;\n\t}\n\tif(i == names.length) names.push({ Name: '_xlnm._FilterDatabase', Sheet: idx, Ref: \"'\" + wb.SheetNames[idx] + \"'!\" + ref });\n\treturn writextag(\"autoFilter\", null, {ref:ref});\n}\n\n/* 18.3.1.88 sheetViews CT_SheetViews */\n/* 18.3.1.87 sheetView CT_SheetView */\nvar sviewregex = /<(?:\\w:)?sheetView(?:[^>a-z][^>]*)?\\/?>/;\nfunction parse_ws_xml_sheetviews(data, wb) {\n\tif(!wb.Views) wb.Views = [{}];\n\t(data.match(sviewregex)||[]).forEach(function(r, i) {\n\t\tvar tag = parsexmltag(r);\n\t\t// $FlowIgnore\n\t\tif(!wb.Views[i]) wb.Views[i] = {};\n\t\t// $FlowIgnore\n\t\tif(parsexmlbool(tag.rightToLeft)) wb.Views[i].RTL = true;\n\t});\n}\nfunction write_ws_xml_sheetviews(ws, opts, idx, wb) {\n\tvar sview = ({workbookViewId:\"0\"});\n\t// $FlowIgnore\n\tif((((wb||{}).Workbook||{}).Views||[])[0]) sview.rightToLeft = wb.Workbook.Views[0].RTL ? \"1\" : \"0\";\n\treturn writextag(\"sheetViews\", writextag(\"sheetView\", null, sview), {});\n}\n\nfunction write_ws_xml_cell(cell, ref, ws, opts) {\n\tif(cell.v === undefined && typeof cell.f !== \"string\" || cell.t === 'z') return \"\";\n\tvar vv = \"\";\n\tvar oldt = cell.t, oldv = cell.v;\n\tif(cell.t !== \"z\") switch(cell.t) {\n\t\tcase 'b': vv = cell.v ? \"1\" : \"0\"; break;\n\t\tcase 'n': vv = ''+cell.v; break;\n\t\tcase 'e': vv = BErr[cell.v]; break;\n\t\tcase 'd':\n\t\t\tif(opts && opts.cellDates) vv = parseDate(cell.v, -1).toISOString();\n\t\t\telse {\n\t\t\t\tcell = dup(cell);\n\t\t\t\tcell.t = 'n';\n\t\t\t\tvv = ''+(cell.v = datenum(parseDate(cell.v)));\n\t\t\t}\n\t\t\tif(typeof cell.z === 'undefined') cell.z = SSF._table[14];\n\t\t\tbreak;\n\t\tdefault: vv = cell.v; break;\n\t}\n\tvar v = writetag('v', escapexml(vv)), o = ({r:ref});\n\t/* TODO: cell style */\n\tvar os = get_cell_style(opts.cellXfs, cell, opts);\n\tif(os !== 0) o.s = os;\n\tswitch(cell.t) {\n\t\tcase 'n': break;\n\t\tcase 'd': o.t = \"d\"; break;\n\t\tcase 'b': o.t = \"b\"; break;\n\t\tcase 'e': o.t = \"e\"; break;\n\t\tcase 'z': break;\n\t\tdefault: if(cell.v == null) { delete cell.t; break; }\n\t\t\tif(opts && opts.bookSST) {\n\t\t\t\tv = writetag('v', ''+get_sst_id(opts.Strings, cell.v, opts.revStrings));\n\t\t\t\to.t = \"s\"; break;\n\t\t\t}\n\t\t\to.t = \"str\"; break;\n\t}\n\tif(cell.t != oldt) { cell.t = oldt; cell.v = oldv; }\n\tif(typeof cell.f == \"string\" && cell.f) {\n\t\tvar ff = cell.F && cell.F.slice(0, ref.length) == ref ? {t:\"array\", ref:cell.F} : null;\n\t\tv = writextag('f', escapexml(cell.f), ff) + (cell.v != null ? v : \"\");\n\t}\n\tif(cell.l) ws['!links'].push([ref, cell.l]);\n\tif(cell.c) ws['!comments'].push([ref, cell.c]);\n\treturn writextag('c', v, o);\n}\n\nvar parse_ws_xml_data = (function() {\n\tvar cellregex = /<(?:\\w+:)?c[ \\/>]/, rowregex = /<\\/(?:\\w+:)?row>/;\n\tvar rregex = /r=[\"']([^\"']*)[\"']/, isregex = /<(?:\\w+:)?is>([\\S\\s]*?)<\\/(?:\\w+:)?is>/;\n\tvar refregex = /ref=[\"']([^\"']*)[\"']/;\n\tvar match_v = matchtag(\"v\"), match_f = matchtag(\"f\");\n\nreturn function parse_ws_xml_data(sdata, s, opts, guess, themes, styles) {\n\tvar ri = 0, x = \"\", cells = [], cref = [], idx=0, i=0, cc=0, d=\"\", p;\n\tvar tag, tagr = 0, tagc = 0;\n\tvar sstr, ftag;\n\tvar fmtid = 0, fillid = 0;\n\tvar do_format = Array.isArray(styles.CellXf), cf;\n\tvar arrayf = [];\n\tvar sharedf = [];\n\tvar dense = Array.isArray(s);\n\tvar rows = [], rowobj = {}, rowrite = false;\n\tvar sheetStubs = !!opts.sheetStubs;\n\tfor(var marr = sdata.split(rowregex), mt = 0, marrlen = marr.length; mt != marrlen; ++mt) {\n\t\tx = marr[mt].trim();\n\t\tvar xlen = x.length;\n\t\tif(xlen === 0) continue;\n\n\t\t/* 18.3.1.73 row CT_Row */\n\t\tfor(ri = 0; ri < xlen; ++ri) if(x.charCodeAt(ri) === 62) break; ++ri;\n\t\ttag = parsexmltag(x.slice(0,ri), true);\n\t\ttagr = tag.r != null ? parseInt(tag.r, 10) : tagr+1; tagc = -1;\n\t\tif(opts.sheetRows && opts.sheetRows < tagr) continue;\n\t\tif(guess.s.r > tagr - 1) guess.s.r = tagr - 1;\n\t\tif(guess.e.r < tagr - 1) guess.e.r = tagr - 1;\n\n\t\tif(opts && opts.cellStyles) {\n\t\t\trowobj = {}; rowrite = false;\n\t\t\tif(tag.ht) { rowrite = true; rowobj.hpt = parseFloat(tag.ht); rowobj.hpx = pt2px(rowobj.hpt); }\n\t\t\tif(tag.hidden == \"1\") { rowrite = true; rowobj.hidden = true; }\n\t\t\tif(tag.outlineLevel != null) { rowrite = true; rowobj.level = +tag.outlineLevel; }\n\t\t\tif(rowrite) rows[tagr-1] = rowobj;\n\t\t}\n\n\t\t/* 18.3.1.4 c CT_Cell */\n\t\tcells = x.slice(ri).split(cellregex);\n\t\tfor(var rslice = 0; rslice != cells.length; ++rslice) if(cells[rslice].trim().charAt(0) != \"<\") break;\n\t\tcells = cells.slice(rslice);\n\t\tfor(ri = 0; ri != cells.length; ++ri) {\n\t\t\tx = cells[ri].trim();\n\t\t\tif(x.length === 0) continue;\n\t\t\tcref = x.match(rregex); idx = ri; i=0; cc=0;\n\t\t\tx = \"\":\"\") + x;\n\t\t\tif(cref != null && cref.length === 2) {\n\t\t\t\tidx = 0; d=cref[1];\n\t\t\t\tfor(i=0; i != d.length; ++i) {\n\t\t\t\t\tif((cc=d.charCodeAt(i)-64) < 1 || cc > 26) break;\n\t\t\t\t\tidx = 26*idx + cc;\n\t\t\t\t}\n\t\t\t\t--idx;\n\t\t\t\ttagc = idx;\n\t\t\t} else ++tagc;\n\t\t\tfor(i = 0; i != x.length; ++i) if(x.charCodeAt(i) === 62) break; ++i;\n\t\t\ttag = parsexmltag(x.slice(0,i), true);\n\t\t\tif(!tag.r) tag.r = encode_cell({r:tagr-1, c:tagc});\n\t\t\td = x.slice(i);\n\t\t\tp = ({t:\"\"});\n\n\t\t\tif((cref=d.match(match_v))!= null && cref[1] !== '') p.v=unescapexml(cref[1]);\n\t\t\tif(opts.cellFormula) {\n\t\t\t\tif((cref=d.match(match_f))!= null && cref[1] !== '') {\n\t\t\t\t\t/* TODO: match against XLSXFutureFunctions */\n\t\t\t\t\tp.f=unescapexml(utf8read(cref[1])).replace(/\\r\\n/g, \"\\n\");\n\t\t\t\t\tif(!opts.xlfn) p.f = _xlfn(p.f);\n\t\t\t\t\tif(cref[0].indexOf('t=\"array\"') > -1) {\n\t\t\t\t\t\tp.F = (d.match(refregex)||[])[1];\n\t\t\t\t\t\tif(p.F.indexOf(\":\") > -1) arrayf.push([safe_decode_range(p.F), p.F]);\n\t\t\t\t\t} else if(cref[0].indexOf('t=\"shared\"') > -1) {\n\t\t\t\t\t\t// TODO: parse formula\n\t\t\t\t\t\tftag = parsexmltag(cref[0]);\n\t\t\t\t\t\tvar ___f = unescapexml(utf8read(cref[1]));\n\t\t\t\t\t\tif(!opts.xlfn) ___f = _xlfn(___f);\n\t\t\t\t\t\tsharedf[parseInt(ftag.si, 10)] = [ftag, ___f, tag.r];\n\t\t\t\t\t}\n\t\t\t\t} else if((cref=d.match(/]*\\/>/))) {\n\t\t\t\t\tftag = parsexmltag(cref[0]);\n\t\t\t\t\tif(sharedf[ftag.si]) p.f = shift_formula_xlsx(sharedf[ftag.si][1], sharedf[ftag.si][2]/*[0].ref*/, tag.r);\n\t\t\t\t}\n\t\t\t\t/* TODO: factor out contains logic */\n\t\t\t\tvar _tag = decode_cell(tag.r);\n\t\t\t\tfor(i = 0; i < arrayf.length; ++i)\n\t\t\t\t\tif(_tag.r >= arrayf[i][0].s.r && _tag.r <= arrayf[i][0].e.r)\n\t\t\t\t\t\tif(_tag.c >= arrayf[i][0].s.c && _tag.c <= arrayf[i][0].e.c)\n\t\t\t\t\t\t\tp.F = arrayf[i][1];\n\t\t\t}\n\n\t\t\tif(tag.t == null && p.v === undefined) {\n\t\t\t\tif(p.f || p.F) {\n\t\t\t\t\tp.v = 0; p.t = \"n\";\n\t\t\t\t} else if(!sheetStubs) continue;\n\t\t\t\telse p.t = \"z\";\n\t\t\t}\n\t\t\telse p.t = tag.t || \"n\";\n\t\t\tif(guess.s.c > tagc) guess.s.c = tagc;\n\t\t\tif(guess.e.c < tagc) guess.e.c = tagc;\n\t\t\t/* 18.18.11 t ST_CellType */\n\t\t\tswitch(p.t) {\n\t\t\t\tcase 'n':\n\t\t\t\t\tif(p.v == \"\" || p.v == null) {\n\t\t\t\t\t\tif(!sheetStubs) continue;\n\t\t\t\t\t\tp.t = 'z';\n\t\t\t\t\t} else p.v = parseFloat(p.v);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 's':\n\t\t\t\t\tif(typeof p.v == 'undefined') {\n\t\t\t\t\t\tif(!sheetStubs) continue;\n\t\t\t\t\t\tp.t = 'z';\n\t\t\t\t\t} else {\n\t\t\t\t\t\tsstr = strs[parseInt(p.v, 10)];\n\t\t\t\t\t\tp.v = sstr.t;\n\t\t\t\t\t\tp.r = sstr.r;\n\t\t\t\t\t\tif(opts.cellHTML) p.h = sstr.h;\n\t\t\t\t\t}\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'str':\n\t\t\t\t\tp.t = \"s\";\n\t\t\t\t\tp.v = (p.v!=null) ? utf8read(p.v) : '';\n\t\t\t\t\tif(opts.cellHTML) p.h = escapehtml(p.v);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'inlineStr':\n\t\t\t\t\tcref = d.match(isregex);\n\t\t\t\t\tp.t = 's';\n\t\t\t\t\tif(cref != null && (sstr = parse_si(cref[1]))) {\n\t\t\t\t\t\tp.v = sstr.t;\n\t\t\t\t\t\tif(opts.cellHTML) p.h = sstr.h;\n\t\t\t\t\t} else p.v = \"\";\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'b': p.v = parsexmlbool(p.v); break;\n\t\t\t\tcase 'd':\n\t\t\t\t\tif(opts.cellDates) p.v = parseDate(p.v, 1);\n\t\t\t\t\telse { p.v = datenum(parseDate(p.v, 1)); p.t = 'n'; }\n\t\t\t\t\tbreak;\n\t\t\t\t/* error string in .w, number in .v */\n\t\t\t\tcase 'e':\n\t\t\t\t\tif(!opts || opts.cellText !== false) p.w = p.v;\n\t\t\t\t\tp.v = RBErr[p.v]; break;\n\t\t\t}\n\t\t\t/* formatting */\n\t\t\tfmtid = fillid = 0;\n\t\t\tcf = null;\n\t\t\tif(do_format && tag.s !== undefined) {\n\t\t\t\tcf = styles.CellXf[tag.s];\n\t\t\t\tif(cf != null) {\n\t\t\t\t\tif(cf.numFmtId != null) fmtid = cf.numFmtId;\n\t\t\t\t\tif(opts.cellStyles) {\n\t\t\t\t\t\tif(cf.fillId != null) fillid = cf.fillId;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsafe_format(p, fmtid, fillid, opts, themes, styles);\n\t\t\tif(opts.cellDates && do_format && p.t == 'n' && SSF.is_date(SSF._table[fmtid])) { p.t = 'd'; p.v = numdate(p.v); }\n\t\t\tif(dense) {\n\t\t\t\tvar _r = decode_cell(tag.r);\n\t\t\t\tif(!s[_r.r]) s[_r.r] = [];\n\t\t\t\ts[_r.r][_r.c] = p;\n\t\t\t} else s[tag.r] = p;\n\t\t}\n\t}\n\tif(rows.length > 0) s['!rows'] = rows;\n}; })();\n\nfunction write_ws_xml_data(ws, opts, idx, wb) {\n\tvar o = [], r = [], range = safe_decode_range(ws['!ref']), cell=\"\", ref, rr = \"\", cols = [], R=0, C=0, rows = ws['!rows'];\n\tvar dense = Array.isArray(ws);\n\tvar params = ({r:rr}), row, height = -1;\n\tfor(C = range.s.c; C <= range.e.c; ++C) cols[C] = encode_col(C);\n\tfor(R = range.s.r; R <= range.e.r; ++R) {\n\t\tr = [];\n\t\trr = encode_row(R);\n\t\tfor(C = range.s.c; C <= range.e.c; ++C) {\n\t\t\tref = cols[C] + rr;\n\t\t\tvar _cell = dense ? (ws[R]||[])[C]: ws[ref];\n\t\t\tif(_cell === undefined) continue;\n\t\t\tif((cell = write_ws_xml_cell(_cell, ref, ws, opts, idx, wb)) != null) r.push(cell);\n\t\t}\n\t\tif(r.length > 0 || (rows && rows[R])) {\n\t\t\tparams = ({r:rr});\n\t\t\tif(rows && rows[R]) {\n\t\t\t\trow = rows[R];\n\t\t\t\tif(row.hidden) params.hidden = 1;\n\t\t\t\theight = -1;\n\t\t\t\tif(row.hpx) height = px2pt(row.hpx);\n\t\t\t\telse if(row.hpt) height = row.hpt;\n\t\t\t\tif(height > -1) { params.ht = height; params.customHeight = 1; }\n\t\t\t\tif(row.level) { params.outlineLevel = row.level; }\n\t\t\t}\n\t\t\to[o.length] = (writextag('row', r.join(\"\"), params));\n\t\t}\n\t}\n\tif(rows) for(; R < rows.length; ++R) {\n\t\tif(rows && rows[R]) {\n\t\t\tparams = ({r:R+1});\n\t\t\trow = rows[R];\n\t\t\tif(row.hidden) params.hidden = 1;\n\t\t\theight = -1;\n\t\t\tif (row.hpx) height = px2pt(row.hpx);\n\t\t\telse if (row.hpt) height = row.hpt;\n\t\t\tif (height > -1) { params.ht = height; params.customHeight = 1; }\n\t\t\tif (row.level) { params.outlineLevel = row.level; }\n\t\t\to[o.length] = (writextag('row', \"\", params));\n\t\t}\n\t}\n\treturn o.join(\"\");\n}\n\nvar WS_XML_ROOT = writextag('worksheet', null, {\n\t'xmlns': XMLNS.main[0],\n\t'xmlns:r': XMLNS.r\n});\n\nfunction write_ws_xml(idx, opts, wb, rels) {\n\tvar o = [XML_HEADER, WS_XML_ROOT];\n\tvar s = wb.SheetNames[idx], sidx = 0, rdata = \"\";\n\tvar ws = wb.Sheets[s];\n\tif(ws == null) ws = {};\n\tvar ref = ws['!ref'] || 'A1';\n\tvar range = safe_decode_range(ref);\n\tif(range.e.c > 0x3FFF || range.e.r > 0xFFFFF) {\n\t\tif(opts.WTF) throw new Error(\"Range \" + ref + \" exceeds format limit A1:XFD1048576\");\n\t\trange.e.c = Math.min(range.e.c, 0x3FFF);\n\t\trange.e.r = Math.min(range.e.c, 0xFFFFF);\n\t\tref = encode_range(range);\n\t}\n\tif(!rels) rels = {};\n\tws['!comments'] = [];\n\tvar _drawing = [];\n\n\twrite_ws_xml_sheetpr(ws, wb, idx, opts, o);\n\n\to[o.length] = (writextag('dimension', null, {'ref': ref}));\n\n\to[o.length] = write_ws_xml_sheetviews(ws, opts, idx, wb);\n\n\t/* TODO: store in WB, process styles */\n\tif(opts.sheetFormat) o[o.length] = (writextag('sheetFormatPr', null, {\n\t\tdefaultRowHeight:opts.sheetFormat.defaultRowHeight||'16',\n\t\tbaseColWidth:opts.sheetFormat.baseColWidth||'10',\n\t\toutlineLevelRow:opts.sheetFormat.outlineLevelRow||'7'\n\t}));\n\n\tif(ws['!cols'] != null && ws['!cols'].length > 0) o[o.length] = (write_ws_xml_cols(ws, ws['!cols']));\n\n\to[sidx = o.length] = '';\n\tws['!links'] = [];\n\tif(ws['!ref'] != null) {\n\t\trdata = write_ws_xml_data(ws, opts, idx, wb, rels);\n\t\tif(rdata.length > 0) o[o.length] = (rdata);\n\t}\n\tif(o.length>sidx+1) { o[o.length] = (''); o[sidx]=o[sidx].replace(\"/>\",\">\"); }\n\n\t/* sheetCalcPr */\n\n\tif(ws['!protect'] != null) o[o.length] = write_ws_xml_protection(ws['!protect']);\n\n\t/* protectedRanges */\n\t/* scenarios */\n\n\tif(ws['!autofilter'] != null) o[o.length] = write_ws_xml_autofilter(ws['!autofilter'], ws, wb, idx);\n\n\t/* sortState */\n\t/* dataConsolidate */\n\t/* customSheetViews */\n\n\tif(ws['!merges'] != null && ws['!merges'].length > 0) o[o.length] = (write_ws_xml_merges(ws['!merges']));\n\n\t/* phoneticPr */\n\t/* conditionalFormatting */\n\t/* dataValidations */\n\n\tvar relc = -1, rel, rId = -1;\n\tif(ws['!links'].length > 0) {\n\t\to[o.length] = \"\";\nws['!links'].forEach(function(l) {\n\t\t\tif(!l[1].Target) return;\n\t\t\trel = ({\"ref\":l[0]});\n\t\t\tif(l[1].Target.charAt(0) != \"#\") {\n\t\t\t\trId = add_rels(rels, -1, escapexml(l[1].Target).replace(/#.*$/, \"\"), RELS.HLINK);\n\t\t\t\trel[\"r:id\"] = \"rId\"+rId;\n\t\t\t}\n\t\t\tif((relc = l[1].Target.indexOf(\"#\")) > -1) rel.location = escapexml(l[1].Target.slice(relc+1));\n\t\t\tif(l[1].Tooltip) rel.tooltip = escapexml(l[1].Tooltip);\n\t\t\to[o.length] = writextag(\"hyperlink\",null,rel);\n\t\t});\n\t\to[o.length] = \"\";\n\t}\n\tdelete ws['!links'];\n\n\t/* printOptions */\n\n\tif(ws['!margins'] != null) o[o.length] = write_ws_xml_margins(ws['!margins']);\n\n\t/* pageSetup */\n\t/* headerFooter */\n\t/* rowBreaks */\n\t/* colBreaks */\n\t/* customProperties */\n\t/* cellWatches */\n\n\tif(!opts || opts.ignoreEC || (opts.ignoreEC == (void 0))) o[o.length] = writetag(\"ignoredErrors\", writextag(\"ignoredError\", null, {numberStoredAsText:1, sqref:ref}));\n\n\t/* smartTags */\n\n\tif(_drawing.length > 0) {\n\t\trId = add_rels(rels, -1, \"../drawings/drawing\" + (idx+1) + \".xml\", RELS.DRAW);\n\t\to[o.length] = writextag(\"drawing\", null, {\"r:id\":\"rId\" + rId});\n\t\tws['!drawing'] = _drawing;\n\t}\n\n\tif(ws['!comments'].length > 0) {\n\t\trId = add_rels(rels, -1, \"../drawings/vmlDrawing\" + (idx+1) + \".vml\", RELS.VML);\n\t\to[o.length] = writextag(\"legacyDrawing\", null, {\"r:id\":\"rId\" + rId});\n\t\tws['!legacy'] = rId;\n\t}\n\n\t/* legacyDrawingHF */\n\t/* picture */\n\t/* oleObjects */\n\t/* controls */\n\t/* webPublishItems */\n\t/* tableParts */\n\t/* extLst */\n\n\tif(o.length>1) { o[o.length] = (''); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n\n/* [MS-XLSB] 2.4.726 BrtRowHdr */\nfunction parse_BrtRowHdr(data, length) {\n\tvar z = ({});\n\tvar tgt = data.l + length;\n\tz.r = data.read_shift(4);\n\tdata.l += 4; // TODO: ixfe\n\tvar miyRw = data.read_shift(2);\n\tdata.l += 1; // TODO: top/bot padding\n\tvar flags = data.read_shift(1);\n\tdata.l = tgt;\n\tif(flags & 0x07) z.level = flags & 0x07;\n\tif(flags & 0x10) z.hidden = true;\n\tif(flags & 0x20) z.hpt = miyRw / 20;\n\treturn z;\n}\nfunction write_BrtRowHdr(R, range, ws) {\n\tvar o = new_buf(17+8*16);\n\tvar row = (ws['!rows']||[])[R]||{};\n\to.write_shift(4, R);\n\n\to.write_shift(4, 0); /* TODO: ixfe */\n\n\tvar miyRw = 0x0140;\n\tif(row.hpx) miyRw = px2pt(row.hpx) * 20;\n\telse if(row.hpt) miyRw = row.hpt * 20;\n\to.write_shift(2, miyRw);\n\n\to.write_shift(1, 0); /* top/bot padding */\n\n\tvar flags = 0x0;\n\tif(row.level) flags |= row.level;\n\tif(row.hidden) flags |= 0x10;\n\tif(row.hpx || row.hpt) flags |= 0x20;\n\to.write_shift(1, flags);\n\n\to.write_shift(1, 0); /* phonetic guide */\n\n\t/* [MS-XLSB] 2.5.8 BrtColSpan explains the mechanism */\n\tvar ncolspan = 0, lcs = o.l;\n\to.l += 4;\n\n\tvar caddr = {r:R, c:0};\n\tfor(var i = 0; i < 16; ++i) {\n\t\tif((range.s.c > ((i+1) << 10)) || (range.e.c < (i << 10))) continue;\n\t\tvar first = -1, last = -1;\n\t\tfor(var j = (i<<10); j < ((i+1)<<10); ++j) {\n\t\t\tcaddr.c = j;\n\t\t\tvar cell = Array.isArray(ws) ? (ws[caddr.r]||[])[caddr.c] : ws[encode_cell(caddr)];\n\t\t\tif(cell) { if(first < 0) first = j; last = j; }\n\t\t}\n\t\tif(first < 0) continue;\n\t\t++ncolspan;\n\t\to.write_shift(4, first);\n\t\to.write_shift(4, last);\n\t}\n\n\tvar l = o.l;\n\to.l = lcs;\n\to.write_shift(4, ncolspan);\n\to.l = l;\n\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\nfunction write_row_header(ba, ws, range, R) {\n\tvar o = write_BrtRowHdr(R, range, ws);\n\tif((o.length > 17) || (ws['!rows']||[])[R]) write_record(ba, 'BrtRowHdr', o);\n}\n\n/* [MS-XLSB] 2.4.820 BrtWsDim */\nvar parse_BrtWsDim = parse_UncheckedRfX;\nvar write_BrtWsDim = write_UncheckedRfX;\n\n/* [MS-XLSB] 2.4.821 BrtWsFmtInfo */\nfunction parse_BrtWsFmtInfo() {\n}\n//function write_BrtWsFmtInfo(ws, o) { }\n\n/* [MS-XLSB] 2.4.823 BrtWsProp */\nfunction parse_BrtWsProp(data, length) {\n\tvar z = {};\n\t/* TODO: pull flags */\n\tdata.l += 19;\n\tz.name = parse_XLSBCodeName(data, length - 19);\n\treturn z;\n}\nfunction write_BrtWsProp(str, o) {\n\tif(o == null) o = new_buf(84+4*str.length);\n\tfor(var i = 0; i < 3; ++i) o.write_shift(1,0);\n\twrite_BrtColor({auto:1}, o);\n\to.write_shift(-4,-1);\n\to.write_shift(-4,-1);\n\twrite_XLSBCodeName(str, o);\n\treturn o.slice(0, o.l);\n}\n\n/* [MS-XLSB] 2.4.306 BrtCellBlank */\nfunction parse_BrtCellBlank(data) {\n\tvar cell = parse_XLSBCell(data);\n\treturn [cell];\n}\nfunction write_BrtCellBlank(cell, ncell, o) {\n\tif(o == null) o = new_buf(8);\n\treturn write_XLSBCell(ncell, o);\n}\n\n\n/* [MS-XLSB] 2.4.307 BrtCellBool */\nfunction parse_BrtCellBool(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar fBool = data.read_shift(1);\n\treturn [cell, fBool, 'b'];\n}\nfunction write_BrtCellBool(cell, ncell, o) {\n\tif(o == null) o = new_buf(9);\n\twrite_XLSBCell(ncell, o);\n\to.write_shift(1, cell.v ? 1 : 0);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.308 BrtCellError */\nfunction parse_BrtCellError(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar bError = data.read_shift(1);\n\treturn [cell, bError, 'e'];\n}\n\n/* [MS-XLSB] 2.4.311 BrtCellIsst */\nfunction parse_BrtCellIsst(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar isst = data.read_shift(4);\n\treturn [cell, isst, 's'];\n}\nfunction write_BrtCellIsst(cell, ncell, o) {\n\tif(o == null) o = new_buf(12);\n\twrite_XLSBCell(ncell, o);\n\to.write_shift(4, ncell.v);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.313 BrtCellReal */\nfunction parse_BrtCellReal(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_Xnum(data);\n\treturn [cell, value, 'n'];\n}\nfunction write_BrtCellReal(cell, ncell, o) {\n\tif(o == null) o = new_buf(16);\n\twrite_XLSBCell(ncell, o);\n\twrite_Xnum(cell.v, o);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.314 BrtCellRk */\nfunction parse_BrtCellRk(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_RkNumber(data);\n\treturn [cell, value, 'n'];\n}\nfunction write_BrtCellRk(cell, ncell, o) {\n\tif(o == null) o = new_buf(12);\n\twrite_XLSBCell(ncell, o);\n\twrite_RkNumber(cell.v, o);\n\treturn o;\n}\n\n\n/* [MS-XLSB] 2.4.317 BrtCellSt */\nfunction parse_BrtCellSt(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_XLWideString(data);\n\treturn [cell, value, 'str'];\n}\nfunction write_BrtCellSt(cell, ncell, o) {\n\tif(o == null) o = new_buf(12 + 4 * cell.v.length);\n\twrite_XLSBCell(ncell, o);\n\twrite_XLWideString(cell.v, o);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.653 BrtFmlaBool */\nfunction parse_BrtFmlaBool(data, length, opts) {\n\tvar end = data.l + length;\n\tvar cell = parse_XLSBCell(data);\n\tcell.r = opts['!row'];\n\tvar value = data.read_shift(1);\n\tvar o = [cell, value, 'b'];\n\tif(opts.cellFormula) {\n\t\tdata.l += 2;\n\t\tvar formula = parse_XLSBCellParsedFormula(data, end - data.l, opts);\n\t\to[3] = stringify_formula(formula, null/*range*/, cell, opts.supbooks, opts);/* TODO */\n\t}\n\telse data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.654 BrtFmlaError */\nfunction parse_BrtFmlaError(data, length, opts) {\n\tvar end = data.l + length;\n\tvar cell = parse_XLSBCell(data);\n\tcell.r = opts['!row'];\n\tvar value = data.read_shift(1);\n\tvar o = [cell, value, 'e'];\n\tif(opts.cellFormula) {\n\t\tdata.l += 2;\n\t\tvar formula = parse_XLSBCellParsedFormula(data, end - data.l, opts);\n\t\to[3] = stringify_formula(formula, null/*range*/, cell, opts.supbooks, opts);/* TODO */\n\t}\n\telse data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.655 BrtFmlaNum */\nfunction parse_BrtFmlaNum(data, length, opts) {\n\tvar end = data.l + length;\n\tvar cell = parse_XLSBCell(data);\n\tcell.r = opts['!row'];\n\tvar value = parse_Xnum(data);\n\tvar o = [cell, value, 'n'];\n\tif(opts.cellFormula) {\n\t\tdata.l += 2;\n\t\tvar formula = parse_XLSBCellParsedFormula(data, end - data.l, opts);\n\t\to[3] = stringify_formula(formula, null/*range*/, cell, opts.supbooks, opts);/* TODO */\n\t}\n\telse data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.656 BrtFmlaString */\nfunction parse_BrtFmlaString(data, length, opts) {\n\tvar end = data.l + length;\n\tvar cell = parse_XLSBCell(data);\n\tcell.r = opts['!row'];\n\tvar value = parse_XLWideString(data);\n\tvar o = [cell, value, 'str'];\n\tif(opts.cellFormula) {\n\t\tdata.l += 2;\n\t\tvar formula = parse_XLSBCellParsedFormula(data, end - data.l, opts);\n\t\to[3] = stringify_formula(formula, null/*range*/, cell, opts.supbooks, opts);/* TODO */\n\t}\n\telse data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.682 BrtMergeCell */\nvar parse_BrtMergeCell = parse_UncheckedRfX;\nvar write_BrtMergeCell = write_UncheckedRfX;\n/* [MS-XLSB] 2.4.107 BrtBeginMergeCells */\nfunction write_BrtBeginMergeCells(cnt, o) {\n\tif(o == null) o = new_buf(4);\n\to.write_shift(4, cnt);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.662 BrtHLink */\nfunction parse_BrtHLink(data, length) {\n\tvar end = data.l + length;\n\tvar rfx = parse_UncheckedRfX(data, 16);\n\tvar relId = parse_XLNullableWideString(data);\n\tvar loc = parse_XLWideString(data);\n\tvar tooltip = parse_XLWideString(data);\n\tvar display = parse_XLWideString(data);\n\tdata.l = end;\n\tvar o = ({rfx:rfx, relId:relId, loc:loc, display:display});\n\tif(tooltip) o.Tooltip = tooltip;\n\treturn o;\n}\nfunction write_BrtHLink(l, rId) {\n\tvar o = new_buf(50+4*(l[1].Target.length + (l[1].Tooltip || \"\").length));\n\twrite_UncheckedRfX({s:decode_cell(l[0]), e:decode_cell(l[0])}, o);\n\twrite_RelID(\"rId\" + rId, o);\n\tvar locidx = l[1].Target.indexOf(\"#\");\n\tvar loc = locidx == -1 ? \"\" : l[1].Target.slice(locidx+1);\n\twrite_XLWideString(loc || \"\", o);\n\twrite_XLWideString(l[1].Tooltip || \"\", o);\n\twrite_XLWideString(\"\", o);\n\treturn o.slice(0, o.l);\n}\n\n/* [MS-XLSB] 2.4.692 BrtPane */\nfunction parse_BrtPane(/*data, length, opts*/) {\n}\n\n/* [MS-XLSB] 2.4.6 BrtArrFmla */\nfunction parse_BrtArrFmla(data, length, opts) {\n\tvar end = data.l + length;\n\tvar rfx = parse_RfX(data, 16);\n\tvar fAlwaysCalc = data.read_shift(1);\n\tvar o = [rfx]; o[2] = fAlwaysCalc;\n\tif(opts.cellFormula) {\n\t\tvar formula = parse_XLSBArrayParsedFormula(data, end - data.l, opts);\n\t\to[1] = formula;\n\t} else data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.750 BrtShrFmla */\nfunction parse_BrtShrFmla(data, length, opts) {\n\tvar end = data.l + length;\n\tvar rfx = parse_UncheckedRfX(data, 16);\n\tvar o = [rfx];\n\tif(opts.cellFormula) {\n\t\tvar formula = parse_XLSBSharedParsedFormula(data, end - data.l, opts);\n\t\to[1] = formula;\n\t\tdata.l = end;\n\t} else data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.323 BrtColInfo */\n/* TODO: once XLS ColInfo is set, combine the functions */\nfunction write_BrtColInfo(C, col, o) {\n\tif(o == null) o = new_buf(18);\n\tvar p = col_obj_w(C, col);\n\to.write_shift(-4, C);\n\to.write_shift(-4, C);\n\to.write_shift(4, (p.width || 10) * 256);\n\to.write_shift(4, 0/*ixfe*/); // style\n\tvar flags = 0;\n\tif(col.hidden) flags |= 0x01;\n\tif(typeof p.width == 'number') flags |= 0x02;\n\tif(col.level) flags |= (col.level << 8);\n\to.write_shift(2, flags); // bit flag\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.678 BrtMargins */\nvar BrtMarginKeys = [\"left\",\"right\",\"top\",\"bottom\",\"header\",\"footer\"];\nfunction parse_BrtMargins(data) {\n\tvar margins = ({});\n\tBrtMarginKeys.forEach(function(k) { margins[k] = parse_Xnum(data, 8); });\n\treturn margins;\n}\nfunction write_BrtMargins(margins, o) {\n\tif(o == null) o = new_buf(6*8);\n\tdefault_margins(margins);\n\tBrtMarginKeys.forEach(function(k) { write_Xnum((margins)[k], o); });\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.299 BrtBeginWsView */\nfunction parse_BrtBeginWsView(data) {\n\tvar f = data.read_shift(2);\n\tdata.l += 28;\n\treturn { RTL: f & 0x20 };\n}\nfunction write_BrtBeginWsView(ws, Workbook, o) {\n\tif(o == null) o = new_buf(30);\n\tvar f = 0x39c;\n\tif((((Workbook||{}).Views||[])[0]||{}).RTL) f |= 0x20;\n\to.write_shift(2, f); // bit flag\n\to.write_shift(4, 0);\n\to.write_shift(4, 0); // view first row\n\to.write_shift(4, 0); // view first col\n\to.write_shift(1, 0); // gridline color ICV\n\to.write_shift(1, 0);\n\to.write_shift(2, 0);\n\to.write_shift(2, 100); // zoom scale\n\to.write_shift(2, 0);\n\to.write_shift(2, 0);\n\to.write_shift(2, 0);\n\to.write_shift(4, 0); // workbook view id\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.309 BrtCellIgnoreEC */\nfunction write_BrtCellIgnoreEC(ref) {\n\tvar o = new_buf(24);\n\to.write_shift(4, 4);\n\to.write_shift(4, 1);\n\twrite_UncheckedRfX(ref, o);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.748 BrtSheetProtection */\nfunction write_BrtSheetProtection(sp, o) {\n\tif(o == null) o = new_buf(16*4+2);\n\to.write_shift(2, sp.password ? crypto_CreatePasswordVerifier_Method1(sp.password) : 0);\n\to.write_shift(4, 1); // this record should not be written if no protection\n\t[\n\t\t[\"objects\", false], // fObjects\n\t\t[\"scenarios\", false], // fScenarios\n\t\t[\"formatCells\", true], // fFormatCells\n\t\t[\"formatColumns\", true], // fFormatColumns\n\t\t[\"formatRows\", true], // fFormatRows\n\t\t[\"insertColumns\", true], // fInsertColumns\n\t\t[\"insertRows\", true], // fInsertRows\n\t\t[\"insertHyperlinks\", true], // fInsertHyperlinks\n\t\t[\"deleteColumns\", true], // fDeleteColumns\n\t\t[\"deleteRows\", true], // fDeleteRows\n\t\t[\"selectLockedCells\", false], // fSelLockedCells\n\t\t[\"sort\", true], // fSort\n\t\t[\"autoFilter\", true], // fAutoFilter\n\t\t[\"pivotTables\", true], // fPivotTables\n\t\t[\"selectUnlockedCells\", false] // fSelUnlockedCells\n\t].forEach(function(n) {\nif(n[1]) o.write_shift(4, sp[n[0]] != null && !sp[n[0]] ? 1 : 0);\n\t\telse o.write_shift(4, sp[n[0]] != null && sp[n[0]] ? 0 : 1);\n\t});\n\treturn o;\n}\n\nfunction parse_BrtDVal(/*data, length, opts*/) {\n}\nfunction parse_BrtDVal14(/*data, length, opts*/) {\n}\n/* [MS-XLSB] 2.1.7.61 Worksheet */\nfunction parse_ws_bin(data, _opts, idx, rels, wb, themes, styles) {\n\tif(!data) return data;\n\tvar opts = _opts || {};\n\tif(!rels) rels = {'!id':{}};\n\tif(DENSE != null && opts.dense == null) opts.dense = DENSE;\n\tvar s = (opts.dense ? [] : {});\n\n\tvar ref;\n\tvar refguess = {s: {r:2000000, c:2000000}, e: {r:0, c:0} };\n\n\tvar state = [];\n\tvar pass = false, end = false;\n\tvar row, p, cf, R, C, addr, sstr, rr, cell;\n\tvar merges = [];\n\topts.biff = 12;\n\topts['!row'] = 0;\n\n\tvar ai = 0, af = false;\n\n\tvar arrayf = [];\n\tvar sharedf = {};\n\tvar supbooks = opts.supbooks || wb.supbooks || ([[]]);\n\tsupbooks.sharedf = sharedf;\n\tsupbooks.arrayf = arrayf;\n\tsupbooks.SheetNames = wb.SheetNames || wb.Sheets.map(function(x) { return x.name; });\n\tif(!opts.supbooks) {\n\t\topts.supbooks = supbooks;\n\t\tif(wb.Names) for(var i = 0; i < wb.Names.length; ++i) supbooks[0][i+1] = wb.Names[i];\n\t}\n\n\tvar colinfo = [], rowinfo = [];\n\tvar seencol = false;\n\n\trecordhopper(data, function ws_parse(val, R_n, RT) {\n\t\tif(end) return;\n\t\tswitch(RT) {\n\t\t\tcase 0x0094: /* 'BrtWsDim' */\n\t\t\t\tref = val; break;\n\t\t\tcase 0x0000: /* 'BrtRowHdr' */\n\t\t\t\trow = val;\n\t\t\t\tif(opts.sheetRows && opts.sheetRows <= row.r) end=true;\n\t\t\t\trr = encode_row(R = row.r);\n\t\t\t\topts['!row'] = row.r;\n\t\t\t\tif(val.hidden || val.hpt || val.level != null) {\n\t\t\t\t\tif(val.hpt) val.hpx = pt2px(val.hpt);\n\t\t\t\t\trowinfo[val.r] = val;\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0002: /* 'BrtCellRk' */\n\t\t\tcase 0x0003: /* 'BrtCellError' */\n\t\t\tcase 0x0004: /* 'BrtCellBool' */\n\t\t\tcase 0x0005: /* 'BrtCellReal' */\n\t\t\tcase 0x0006: /* 'BrtCellSt' */\n\t\t\tcase 0x0007: /* 'BrtCellIsst' */\n\t\t\tcase 0x0008: /* 'BrtFmlaString' */\n\t\t\tcase 0x0009: /* 'BrtFmlaNum' */\n\t\t\tcase 0x000A: /* 'BrtFmlaBool' */\n\t\t\tcase 0x000B: /* 'BrtFmlaError' */\n\t\t\t\tp = ({t:val[2]});\n\t\t\t\tswitch(val[2]) {\n\t\t\t\t\tcase 'n': p.v = val[1]; break;\n\t\t\t\t\tcase 's': sstr = strs[val[1]]; p.v = sstr.t; p.r = sstr.r; break;\n\t\t\t\t\tcase 'b': p.v = val[1] ? true : false; break;\n\t\t\t\t\tcase 'e': p.v = val[1]; if(opts.cellText !== false) p.w = BErr[p.v]; break;\n\t\t\t\t\tcase 'str': p.t = 's'; p.v = val[1]; break;\n\t\t\t\t}\n\t\t\t\tif((cf = styles.CellXf[val[0].iStyleRef])) safe_format(p,cf.numFmtId,null,opts, themes, styles);\n\t\t\t\tC = val[0].c;\n\t\t\t\tif(opts.dense) { if(!s[R]) s[R] = []; s[R][C] = p; }\n\t\t\t\telse s[encode_col(C) + rr] = p;\n\t\t\t\tif(opts.cellFormula) {\n\t\t\t\t\taf = false;\n\t\t\t\t\tfor(ai = 0; ai < arrayf.length; ++ai) {\n\t\t\t\t\t\tvar aii = arrayf[ai];\n\t\t\t\t\t\tif(row.r >= aii[0].s.r && row.r <= aii[0].e.r)\n\t\t\t\t\t\t\tif(C >= aii[0].s.c && C <= aii[0].e.c) {\n\t\t\t\t\t\t\t\tp.F = encode_range(aii[0]); af = true;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tif(!af && val.length > 3) p.f = val[3];\n\t\t\t\t}\n\t\t\t\tif(refguess.s.r > row.r) refguess.s.r = row.r;\n\t\t\t\tif(refguess.s.c > C) refguess.s.c = C;\n\t\t\t\tif(refguess.e.r < row.r) refguess.e.r = row.r;\n\t\t\t\tif(refguess.e.c < C) refguess.e.c = C;\n\t\t\t\tif(opts.cellDates && cf && p.t == 'n' && SSF.is_date(SSF._table[cf.numFmtId])) {\n\t\t\t\t\tvar _d = SSF.parse_date_code(p.v); if(_d) { p.t = 'd'; p.v = new Date(_d.y, _d.m-1,_d.d,_d.H,_d.M,_d.S,_d.u); }\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0001: /* 'BrtCellBlank' */\n\t\t\t\tif(!opts.sheetStubs || pass) break;\n\t\t\t\tp = ({t:'z',v:undefined});\n\t\t\t\tC = val[0].c;\n\t\t\t\tif(opts.dense) { if(!s[R]) s[R] = []; s[R][C] = p; }\n\t\t\t\telse s[encode_col(C) + rr] = p;\n\t\t\t\tif(refguess.s.r > row.r) refguess.s.r = row.r;\n\t\t\t\tif(refguess.s.c > C) refguess.s.c = C;\n\t\t\t\tif(refguess.e.r < row.r) refguess.e.r = row.r;\n\t\t\t\tif(refguess.e.c < C) refguess.e.c = C;\n\t\t\t\tbreak;\n\n\t\t\tcase 0x00B0: /* 'BrtMergeCell' */\n\t\t\t\tmerges.push(val); break;\n\n\t\t\tcase 0x01EE: /* 'BrtHLink' */\n\t\t\t\tvar rel = rels['!id'][val.relId];\n\t\t\t\tif(rel) {\n\t\t\t\t\tval.Target = rel.Target;\n\t\t\t\t\tif(val.loc) val.Target += \"#\"+val.loc;\n\t\t\t\t\tval.Rel = rel;\n\t\t\t\t} else if(val.relId == '') {\n\t\t\t\t\tval.Target = \"#\" + val.loc;\n\t\t\t\t}\n\t\t\t\tfor(R=val.rfx.s.r;R<=val.rfx.e.r;++R) for(C=val.rfx.s.c;C<=val.rfx.e.c;++C) {\n\t\t\t\t\tif(opts.dense) {\n\t\t\t\t\t\tif(!s[R]) s[R] = [];\n\t\t\t\t\t\tif(!s[R][C]) s[R][C] = {t:'z',v:undefined};\n\t\t\t\t\t\ts[R][C].l = val;\n\t\t\t\t\t} else {\n\t\t\t\t\t\taddr = encode_cell({c:C,r:R});\n\t\t\t\t\t\tif(!s[addr]) s[addr] = {t:'z',v:undefined};\n\t\t\t\t\t\ts[addr].l = val;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 0x01AA: /* 'BrtArrFmla' */\n\t\t\t\tif(!opts.cellFormula) break;\n\t\t\t\tarrayf.push(val);\n\t\t\t\tcell = ((opts.dense ? s[R][C] : s[encode_col(C) + rr]));\n\t\t\t\tcell.f = stringify_formula(val[1], refguess, {r:row.r, c:C}, supbooks, opts);\n\t\t\t\tcell.F = encode_range(val[0]);\n\t\t\t\tbreak;\n\t\t\tcase 0x01AB: /* 'BrtShrFmla' */\n\t\t\t\tif(!opts.cellFormula) break;\n\t\t\t\tsharedf[encode_cell(val[0].s)] = val[1];\n\t\t\t\tcell = (opts.dense ? s[R][C] : s[encode_col(C) + rr]);\n\t\t\t\tcell.f = stringify_formula(val[1], refguess, {r:row.r, c:C}, supbooks, opts);\n\t\t\t\tbreak;\n\n\t\t\t/* identical to 'ColInfo' in XLS */\n\t\t\tcase 0x003C: /* 'BrtColInfo' */\n\t\t\t\tif(!opts.cellStyles) break;\n\t\t\t\twhile(val.e >= val.s) {\n\t\t\t\t\tcolinfo[val.e--] = { width: val.w/256, hidden: !!(val.flags & 0x01), level: val.level };\n\t\t\t\t\tif(!seencol) { seencol = true; find_mdw_colw(val.w/256); }\n\t\t\t\t\tprocess_col(colinfo[val.e+1]);\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 0x00A1: /* 'BrtBeginAFilter' */\n\t\t\t\ts['!autofilter'] = { ref:encode_range(val) };\n\t\t\t\tbreak;\n\n\t\t\tcase 0x01DC: /* 'BrtMargins' */\n\t\t\t\ts['!margins'] = val;\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0093: /* 'BrtWsProp' */\n\t\t\t\tif(!wb.Sheets[idx]) wb.Sheets[idx] = {};\n\t\t\t\tif(val.name) wb.Sheets[idx].CodeName = val.name;\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0089: /* 'BrtBeginWsView' */\n\t\t\t\tif(!wb.Views) wb.Views = [{}];\n\t\t\t\tif(!wb.Views[0]) wb.Views[0] = {};\n\t\t\t\tif(val.RTL) wb.Views[0].RTL = true;\n\t\t\t\tbreak;\n\n\t\t\tcase 0x01E5: /* 'BrtWsFmtInfo' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0040: /* 'BrtDVal' */\n\t\t\tcase 0x041D: /* 'BrtDVal14' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0097: /* 'BrtPane' */\n\t\t\t\tbreak;\n\t\t\tcase 0x00AF: /* 'BrtAFilterDateGroupItem' */\n\t\t\tcase 0x0284: /* 'BrtActiveX' */\n\t\t\tcase 0x0271: /* 'BrtBigName' */\n\t\t\tcase 0x0232: /* 'BrtBkHim' */\n\t\t\tcase 0x018C: /* 'BrtBrk' */\n\t\t\tcase 0x0458: /* 'BrtCFIcon' */\n\t\t\tcase 0x047A: /* 'BrtCFRuleExt' */\n\t\t\tcase 0x01D7: /* 'BrtCFVO' */\n\t\t\tcase 0x041A: /* 'BrtCFVO14' */\n\t\t\tcase 0x0289: /* 'BrtCellIgnoreEC' */\n\t\t\tcase 0x0451: /* 'BrtCellIgnoreEC14' */\n\t\t\tcase 0x0031: /* 'BrtCellMeta' */\n\t\t\tcase 0x024D: /* 'BrtCellSmartTagProperty' */\n\t\t\tcase 0x025F: /* 'BrtCellWatch' */\n\t\t\tcase 0x0234: /* 'BrtColor' */\n\t\t\tcase 0x041F: /* 'BrtColor14' */\n\t\t\tcase 0x00A8: /* 'BrtColorFilter' */\n\t\t\tcase 0x00AE: /* 'BrtCustomFilter' */\n\t\t\tcase 0x049C: /* 'BrtCustomFilter14' */\n\t\t\tcase 0x01F3: /* 'BrtDRef' */\n\t\t\tcase 0x01FB: /* 'BrtDXF' */\n\t\t\tcase 0x0226: /* 'BrtDrawing' */\n\t\t\tcase 0x00AB: /* 'BrtDynamicFilter' */\n\t\t\tcase 0x00A7: /* 'BrtFilter' */\n\t\t\tcase 0x0499: /* 'BrtFilter14' */\n\t\t\tcase 0x00A9: /* 'BrtIconFilter' */\n\t\t\tcase 0x049D: /* 'BrtIconFilter14' */\n\t\t\tcase 0x0227: /* 'BrtLegacyDrawing' */\n\t\t\tcase 0x0228: /* 'BrtLegacyDrawingHF' */\n\t\t\tcase 0x0295: /* 'BrtListPart' */\n\t\t\tcase 0x027F: /* 'BrtOleObject' */\n\t\t\tcase 0x01DE: /* 'BrtPageSetup' */\n\t\t\tcase 0x0219: /* 'BrtPhoneticInfo' */\n\t\t\tcase 0x01DD: /* 'BrtPrintOptions' */\n\t\t\tcase 0x0218: /* 'BrtRangeProtection' */\n\t\t\tcase 0x044F: /* 'BrtRangeProtection14' */\n\t\t\tcase 0x02A8: /* 'BrtRangeProtectionIso' */\n\t\t\tcase 0x0450: /* 'BrtRangeProtectionIso14' */\n\t\t\tcase 0x0400: /* 'BrtRwDescent' */\n\t\t\tcase 0x0098: /* 'BrtSel' */\n\t\t\tcase 0x0297: /* 'BrtSheetCalcProp' */\n\t\t\tcase 0x0217: /* 'BrtSheetProtection' */\n\t\t\tcase 0x02A6: /* 'BrtSheetProtectionIso' */\n\t\t\tcase 0x01F8: /* 'BrtSlc' */\n\t\t\tcase 0x0413: /* 'BrtSparkline' */\n\t\t\tcase 0x01AC: /* 'BrtTable' */\n\t\t\tcase 0x00AA: /* 'BrtTop10Filter' */\n\t\t\tcase 0x0C00: /* 'BrtUid' */\n\t\t\tcase 0x0032: /* 'BrtValueMeta' */\n\t\t\tcase 0x0816: /* 'BrtWebExtension' */\n\t\t\tcase 0x0415: /* 'BrtWsFmtInfoEx14' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\t\t\tcase 0x0025: /* 'BrtACBegin' */\n\t\t\t\tstate.push(R_n); pass = true; break;\n\t\t\tcase 0x0026: /* 'BrtACEnd' */\n\t\t\t\tstate.pop(); pass = false; break;\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0){/* empty */}\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0){/* empty */}\n\t\t\t\telse if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t}, opts);\n\n\tdelete opts.supbooks;\n\tdelete opts['!row'];\n\n\tif(!s[\"!ref\"] && (refguess.s.r < 2000000 || ref && (ref.e.r > 0 || ref.e.c > 0 || ref.s.r > 0 || ref.s.c > 0))) s[\"!ref\"] = encode_range(ref || refguess);\n\tif(opts.sheetRows && s[\"!ref\"]) {\n\t\tvar tmpref = safe_decode_range(s[\"!ref\"]);\n\t\tif(opts.sheetRows <= +tmpref.e.r) {\n\t\t\ttmpref.e.r = opts.sheetRows - 1;\n\t\t\tif(tmpref.e.r > refguess.e.r) tmpref.e.r = refguess.e.r;\n\t\t\tif(tmpref.e.r < tmpref.s.r) tmpref.s.r = tmpref.e.r;\n\t\t\tif(tmpref.e.c > refguess.e.c) tmpref.e.c = refguess.e.c;\n\t\t\tif(tmpref.e.c < tmpref.s.c) tmpref.s.c = tmpref.e.c;\n\t\t\ts[\"!fullref\"] = s[\"!ref\"];\n\t\t\ts[\"!ref\"] = encode_range(tmpref);\n\t\t}\n\t}\n\tif(merges.length > 0) s[\"!merges\"] = merges;\n\tif(colinfo.length > 0) s[\"!cols\"] = colinfo;\n\tif(rowinfo.length > 0) s[\"!rows\"] = rowinfo;\n\treturn s;\n}\n\n/* TODO: something useful -- this is a stub */\nfunction write_ws_bin_cell(ba, cell, R, C, opts, ws) {\n\tif(cell.v === undefined) return;\n\tvar vv = \"\";\n\tswitch(cell.t) {\n\t\tcase 'b': vv = cell.v ? \"1\" : \"0\"; break;\n\t\tcase 'd': // no BrtCellDate :(\n\t\t\tcell = dup(cell);\n\t\t\tcell.z = cell.z || SSF._table[14];\n\t\t\tcell.v = datenum(parseDate(cell.v)); cell.t = 'n';\n\t\t\tbreak;\n\t\t/* falls through */\n\t\tcase 'n': case 'e': vv = ''+cell.v; break;\n\t\tdefault: vv = cell.v; break;\n\t}\n\tvar o = ({r:R, c:C});\n\t/* TODO: cell style */\n\to.s = get_cell_style(opts.cellXfs, cell, opts);\n\tif(cell.l) ws['!links'].push([encode_cell(o), cell.l]);\n\tif(cell.c) ws['!comments'].push([encode_cell(o), cell.c]);\n\tswitch(cell.t) {\n\t\tcase 's': case 'str':\n\t\t\tif(opts.bookSST) {\n\t\t\t\tvv = get_sst_id(opts.Strings, (cell.v), opts.revStrings);\n\t\t\t\to.t = \"s\"; o.v = vv;\n\t\t\t\twrite_record(ba, \"BrtCellIsst\", write_BrtCellIsst(cell, o));\n\t\t\t} else {\n\t\t\t\to.t = \"str\";\n\t\t\t\twrite_record(ba, \"BrtCellSt\", write_BrtCellSt(cell, o));\n\t\t\t}\n\t\t\treturn;\n\t\tcase 'n':\n\t\t\t/* TODO: determine threshold for Real vs RK */\n\t\t\tif(cell.v == (cell.v | 0) && cell.v > -1000 && cell.v < 1000) write_record(ba, \"BrtCellRk\", write_BrtCellRk(cell, o));\n\t\t\telse write_record(ba, \"BrtCellReal\", write_BrtCellReal(cell, o));\n\t\t\treturn;\n\t\tcase 'b':\n\t\t\to.t = \"b\";\n\t\t\twrite_record(ba, \"BrtCellBool\", write_BrtCellBool(cell, o));\n\t\t\treturn;\n\t\tcase 'e': /* TODO: error */ o.t = \"e\"; break;\n\t}\n\twrite_record(ba, \"BrtCellBlank\", write_BrtCellBlank(cell, o));\n}\n\nfunction write_CELLTABLE(ba, ws, idx, opts) {\n\tvar range = safe_decode_range(ws['!ref'] || \"A1\"), ref, rr = \"\", cols = [];\n\twrite_record(ba, 'BrtBeginSheetData');\n\tvar dense = Array.isArray(ws);\n\tvar cap = range.e.r;\n\tif(ws['!rows']) cap = Math.max(range.e.r, ws['!rows'].length - 1);\n\tfor(var R = range.s.r; R <= cap; ++R) {\n\t\trr = encode_row(R);\n\t\t/* [ACCELLTABLE] */\n\t\t/* BrtRowHdr */\n\t\twrite_row_header(ba, ws, range, R);\n\t\tif(R <= range.e.r) for(var C = range.s.c; C <= range.e.c; ++C) {\n\t\t\t/* *16384CELL */\n\t\t\tif(R === range.s.r) cols[C] = encode_col(C);\n\t\t\tref = cols[C] + rr;\n\t\t\tvar cell = dense ? (ws[R]||[])[C] : ws[ref];\n\t\t\tif(!cell) continue;\n\t\t\t/* write cell */\n\t\t\twrite_ws_bin_cell(ba, cell, R, C, opts, ws);\n\t\t}\n\t}\n\twrite_record(ba, 'BrtEndSheetData');\n}\n\nfunction write_MERGECELLS(ba, ws) {\n\tif(!ws || !ws['!merges']) return;\n\twrite_record(ba, 'BrtBeginMergeCells', write_BrtBeginMergeCells(ws['!merges'].length));\n\tws['!merges'].forEach(function(m) { write_record(ba, 'BrtMergeCell', write_BrtMergeCell(m)); });\n\twrite_record(ba, 'BrtEndMergeCells');\n}\n\nfunction write_COLINFOS(ba, ws) {\n\tif(!ws || !ws['!cols']) return;\n\twrite_record(ba, 'BrtBeginColInfos');\n\tws['!cols'].forEach(function(m, i) { if(m) write_record(ba, 'BrtColInfo', write_BrtColInfo(i, m)); });\n\twrite_record(ba, 'BrtEndColInfos');\n}\n\nfunction write_IGNOREECS(ba, ws) {\n\tif(!ws || !ws['!ref']) return;\n\twrite_record(ba, 'BrtBeginCellIgnoreECs');\n\twrite_record(ba, 'BrtCellIgnoreEC', write_BrtCellIgnoreEC(safe_decode_range(ws['!ref'])));\n\twrite_record(ba, 'BrtEndCellIgnoreECs');\n}\n\nfunction write_HLINKS(ba, ws, rels) {\n\t/* *BrtHLink */\n\tws['!links'].forEach(function(l) {\n\t\tif(!l[1].Target) return;\n\t\tvar rId = add_rels(rels, -1, l[1].Target.replace(/#.*$/, \"\"), RELS.HLINK);\n\t\twrite_record(ba, \"BrtHLink\", write_BrtHLink(l, rId));\n\t});\n\tdelete ws['!links'];\n}\nfunction write_LEGACYDRAWING(ba, ws, idx, rels) {\n\t/* [BrtLegacyDrawing] */\n\tif(ws['!comments'].length > 0) {\n\t\tvar rId = add_rels(rels, -1, \"../drawings/vmlDrawing\" + (idx+1) + \".vml\", RELS.VML);\n\t\twrite_record(ba, \"BrtLegacyDrawing\", write_RelID(\"rId\" + rId));\n\t\tws['!legacy'] = rId;\n\t}\n}\n\nfunction write_AUTOFILTER(ba, ws, wb, idx) {\n\tif(!ws['!autofilter']) return;\n\tvar data = ws['!autofilter'];\n\tvar ref = typeof data.ref === \"string\" ? data.ref : encode_range(data.ref);\n\n\t/* Update FilterDatabase defined name for the worksheet */\n\tif(!wb.Workbook) wb.Workbook = ({Sheets:[]});\n\tif(!wb.Workbook.Names) wb.Workbook.Names = [];\n\tvar names = wb.Workbook.Names;\n\tvar range = decode_range(ref);\n\tif(range.s.r == range.e.r) { range.e.r = decode_range(ws[\"!ref\"]).e.r; ref = encode_range(range); }\n\tfor(var i = 0; i < names.length; ++i) {\n\t\tvar name = names[i];\n\t\tif(name.Name != '_xlnm._FilterDatabase') continue;\n\t\tif(name.Sheet != idx) continue;\n\t\tname.Ref = \"'\" + wb.SheetNames[idx] + \"'!\" + ref; break;\n\t}\n\tif(i == names.length) names.push({ Name: '_xlnm._FilterDatabase', Sheet: idx, Ref: \"'\" + wb.SheetNames[idx] + \"'!\" + ref });\n\n\twrite_record(ba, \"BrtBeginAFilter\", write_UncheckedRfX(safe_decode_range(ref)));\n\t/* *FILTERCOLUMN */\n\t/* [SORTSTATE] */\n\t/* BrtEndAFilter */\n\twrite_record(ba, \"BrtEndAFilter\");\n}\n\nfunction write_WSVIEWS2(ba, ws, Workbook) {\n\twrite_record(ba, \"BrtBeginWsViews\");\n\t{ /* 1*WSVIEW2 */\n\t\t/* [ACUID] */\n\t\twrite_record(ba, \"BrtBeginWsView\", write_BrtBeginWsView(ws, Workbook));\n\t\t/* [BrtPane] */\n\t\t/* *4BrtSel */\n\t\t/* *4SXSELECT */\n\t\t/* *FRT */\n\t\twrite_record(ba, \"BrtEndWsView\");\n\t}\n\t/* *FRT */\n\twrite_record(ba, \"BrtEndWsViews\");\n}\n\nfunction write_WSFMTINFO() {\n\t/* [ACWSFMTINFO] */\n\t//write_record(ba, \"BrtWsFmtInfo\", write_BrtWsFmtInfo(ws));\n}\n\nfunction write_SHEETPROTECT(ba, ws) {\n\tif(!ws['!protect']) return;\n\t/* [BrtSheetProtectionIso] */\n\twrite_record(ba, \"BrtSheetProtection\", write_BrtSheetProtection(ws['!protect']));\n}\n\nfunction write_ws_bin(idx, opts, wb, rels) {\n\tvar ba = buf_array();\n\tvar s = wb.SheetNames[idx], ws = wb.Sheets[s] || {};\n\tvar c = s; try { if(wb && wb.Workbook) c = wb.Workbook.Sheets[idx].CodeName || c; } catch(e) {}\n\tvar r = safe_decode_range(ws['!ref'] || \"A1\");\n\tif(r.e.c > 0x3FFF || r.e.r > 0xFFFFF) {\n\t\tif(opts.WTF) throw new Error(\"Range \" + (ws['!ref'] || \"A1\") + \" exceeds format limit A1:XFD1048576\");\n\t\tr.e.c = Math.min(r.e.c, 0x3FFF);\n\t\tr.e.r = Math.min(r.e.c, 0xFFFFF);\n\t}\n\tws['!links'] = [];\n\t/* passed back to write_zip and removed there */\n\tws['!comments'] = [];\n\twrite_record(ba, \"BrtBeginSheet\");\n\tif(wb.vbaraw) write_record(ba, \"BrtWsProp\", write_BrtWsProp(c));\n\twrite_record(ba, \"BrtWsDim\", write_BrtWsDim(r));\n\twrite_WSVIEWS2(ba, ws, wb.Workbook);\n\twrite_WSFMTINFO(ba, ws);\n\twrite_COLINFOS(ba, ws, idx, opts, wb);\n\twrite_CELLTABLE(ba, ws, idx, opts, wb);\n\t/* [BrtSheetCalcProp] */\n\twrite_SHEETPROTECT(ba, ws);\n\t/* *([BrtRangeProtectionIso] BrtRangeProtection) */\n\t/* [SCENMAN] */\n\twrite_AUTOFILTER(ba, ws, wb, idx);\n\t/* [SORTSTATE] */\n\t/* [DCON] */\n\t/* [USERSHVIEWS] */\n\twrite_MERGECELLS(ba, ws);\n\t/* [BrtPhoneticInfo] */\n\t/* *CONDITIONALFORMATTING */\n\t/* [DVALS] */\n\twrite_HLINKS(ba, ws, rels);\n\t/* [BrtPrintOptions] */\n\tif(ws['!margins']) write_record(ba, \"BrtMargins\", write_BrtMargins(ws['!margins']));\n\t/* [BrtPageSetup] */\n\t/* [HEADERFOOTER] */\n\t/* [RWBRK] */\n\t/* [COLBRK] */\n\t/* *BrtBigName */\n\t/* [CELLWATCHES] */\n\tif(!opts || opts.ignoreEC || (opts.ignoreEC == (void 0))) write_IGNOREECS(ba, ws);\n\t/* [SMARTTAGS] */\n\t/* [BrtDrawing] */\n\twrite_LEGACYDRAWING(ba, ws, idx, rels);\n\t/* [BrtLegacyDrawingHF] */\n\t/* [BrtBkHim] */\n\t/* [OLEOBJECTS] */\n\t/* [ACTIVEXCONTROLS] */\n\t/* [WEBPUBITEMS] */\n\t/* [LISTPARTS] */\n\t/* FRTWORKSHEET */\n\twrite_record(ba, \"BrtEndSheet\");\n\treturn ba.end();\n}\nRELS.CHART = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/chart\";\nRELS.CHARTEX = \"http://schemas.microsoft.com/office/2014/relationships/chartEx\";\n\nfunction parse_Cache(data) {\n\tvar col = [];\n\tvar num = data.match(/^/);\n\tvar f;\n\n\t/* 21.2.2.150 pt CT_NumVal */\n\t(data.match(/(.*?)<\\/c:pt>/mg)||[]).forEach(function(pt) {\n\t\tvar q = pt.match(/(.*)<\\/c:v><\\/c:pt>/);\n\t\tif(!q) return;\n\t\tcol[+q[1]] = num ? +q[2] : q[2];\n\t});\n\n\t/* 21.2.2.71 formatCode CT_Xstring */\n\tvar nf = unescapexml((data.match(/([\\s\\S]*?)<\\/c:formatCode>/) || [\"\",\"General\"])[1]);\n\n\t(data.match(/(.*?)<\\/c:f>/mg)||[]).forEach(function(F) { f = F.replace(/<.*?>/g,\"\"); });\n\n\treturn [col, nf, f];\n}\n\n/* 21.2 DrawingML - Charts */\nfunction parse_chart(data, name, opts, rels, wb, csheet) {\n\tvar cs = ((csheet || {\"!type\":\"chart\"}));\n\tif(!data) return csheet;\n\t/* 21.2.2.27 chart CT_Chart */\n\n\tvar C = 0, R = 0, col = \"A\";\n\tvar refguess = {s: {r:2000000, c:2000000}, e: {r:0, c:0} };\n\n\t/* 21.2.2.120 numCache CT_NumData */\n\t(data.match(/[\\s\\S]*?<\\/c:numCache>/gm)||[]).forEach(function(nc) {\n\t\tvar cache = parse_Cache(nc);\n\t\trefguess.s.r = refguess.s.c = 0;\n\t\trefguess.e.c = C;\n\t\tcol = encode_col(C);\n\t\tcache[0].forEach(function(n,i) {\n\t\t\tcs[col + encode_row(i)] = {t:'n', v:n, z:cache[1] };\n\t\t\tR = i;\n\t\t});\n\t\tif(refguess.e.r < R) refguess.e.r = R;\n\t\t++C;\n\t});\n\tif(C > 0) cs[\"!ref\"] = encode_range(refguess);\n\treturn cs;\n}\nRELS.CS = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/chartsheet\";\n\nvar CS_XML_ROOT = writextag('chartsheet', null, {\n\t'xmlns': XMLNS.main[0],\n\t'xmlns:r': XMLNS.r\n});\n\n/* 18.3 Worksheets also covers Chartsheets */\nfunction parse_cs_xml(data, opts, idx, rels, wb) {\n\tif(!data) return data;\n\t/* 18.3.1.12 chartsheet CT_ChartSheet */\n\tif(!rels) rels = {'!id':{}};\n\tvar s = ({'!type':\"chart\", '!drawel':null, '!rel':\"\"});\n\tvar m;\n\n\t/* 18.3.1.83 sheetPr CT_ChartsheetPr */\n\tvar sheetPr = data.match(sheetprregex);\n\tif(sheetPr) parse_ws_xml_sheetpr(sheetPr[0], s, wb, idx);\n\n\t/* 18.3.1.36 drawing CT_Drawing */\n\tif((m = data.match(/drawing r:id=\"(.*?)\"/))) s['!rel'] = m[1];\n\n\tif(rels['!id'][s['!rel']]) s['!drawel'] = rels['!id'][s['!rel']];\n\treturn s;\n}\nfunction write_cs_xml(idx, opts, wb, rels) {\n\tvar o = [XML_HEADER, CS_XML_ROOT];\n\to[o.length] = writextag(\"drawing\", null, {\"r:id\": \"rId1\"});\n\tadd_rels(rels, -1, \"../drawings/drawing\" + (idx+1) + \".xml\", RELS.DRAW);\n\tif(o.length>2) { o[o.length] = (''); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n\n/* [MS-XLSB] 2.4.331 BrtCsProp */\nfunction parse_BrtCsProp(data, length) {\n\tdata.l += 10;\n\tvar name = parse_XLWideString(data, length - 10);\n\treturn { name: name };\n}\n\n/* [MS-XLSB] 2.1.7.7 Chart Sheet */\nfunction parse_cs_bin(data, opts, idx, rels, wb) {\n\tif(!data) return data;\n\tif(!rels) rels = {'!id':{}};\n\tvar s = {'!type':\"chart\", '!drawel':null, '!rel':\"\"};\n\tvar state = [];\n\tvar pass = false;\n\trecordhopper(data, function cs_parse(val, R_n, RT) {\n\t\tswitch(RT) {\n\n\t\t\tcase 0x0226: /* 'BrtDrawing' */\n\t\t\t\ts['!rel'] = val; break;\n\n\t\t\tcase 0x028B: /* 'BrtCsProp' */\n\t\t\t\tif(!wb.Sheets[idx]) wb.Sheets[idx] = {};\n\t\t\t\tif(val.name) wb.Sheets[idx].CodeName = val.name;\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0232: /* 'BrtBkHim' */\n\t\t\tcase 0x028C: /* 'BrtCsPageSetup' */\n\t\t\tcase 0x029D: /* 'BrtCsProtection' */\n\t\t\tcase 0x02A7: /* 'BrtCsProtectionIso' */\n\t\t\tcase 0x0227: /* 'BrtLegacyDrawing' */\n\t\t\tcase 0x0228: /* 'BrtLegacyDrawingHF' */\n\t\t\tcase 0x01DC: /* 'BrtMargins' */\n\t\t\tcase 0x0C00: /* 'BrtUid' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\t\t\tcase 0x0025: /* 'BrtACBegin' */\n\t\t\t\tstate.push(R_n); break;\n\t\t\tcase 0x0026: /* 'BrtACEnd' */\n\t\t\t\tstate.pop(); break;\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0) state.push(R_n);\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0) state.pop();\n\t\t\t\telse if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t}, opts);\n\n\tif(rels['!id'][s['!rel']]) s['!drawel'] = rels['!id'][s['!rel']];\n\treturn s;\n}\nfunction write_cs_bin() {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginSheet\");\n\t/* [BrtCsProp] */\n\t/* CSVIEWS */\n\t/* [[BrtCsProtectionIso] BrtCsProtection] */\n\t/* [USERCSVIEWS] */\n\t/* [BrtMargins] */\n\t/* [BrtCsPageSetup] */\n\t/* [HEADERFOOTER] */\n\t/* BrtDrawing */\n\t/* [BrtLegacyDrawing] */\n\t/* [BrtLegacyDrawingHF] */\n\t/* [BrtBkHim] */\n\t/* [WEBPUBITEMS] */\n\t/* FRTCHARTSHEET */\n\twrite_record(ba, \"BrtEndSheet\");\n\treturn ba.end();\n}\n/* 18.2.28 (CT_WorkbookProtection) Defaults */\nvar WBPropsDef = [\n\t['allowRefreshQuery', false, \"bool\"],\n\t['autoCompressPictures', true, \"bool\"],\n\t['backupFile', false, \"bool\"],\n\t['checkCompatibility', false, \"bool\"],\n\t['CodeName', ''],\n\t['date1904', false, \"bool\"],\n\t['defaultThemeVersion', 0, \"int\"],\n\t['filterPrivacy', false, \"bool\"],\n\t['hidePivotFieldList', false, \"bool\"],\n\t['promptedSolutions', false, \"bool\"],\n\t['publishItems', false, \"bool\"],\n\t['refreshAllConnections', false, \"bool\"],\n\t['saveExternalLinkValues', true, \"bool\"],\n\t['showBorderUnselectedTables', true, \"bool\"],\n\t['showInkAnnotation', true, \"bool\"],\n\t['showObjects', 'all'],\n\t['showPivotChartFilter', false, \"bool\"],\n\t['updateLinks', 'userSet']\n];\n\n/* 18.2.30 (CT_BookView) Defaults */\nvar WBViewDef = [\n\t['activeTab', 0, \"int\"],\n\t['autoFilterDateGrouping', true, \"bool\"],\n\t['firstSheet', 0, \"int\"],\n\t['minimized', false, \"bool\"],\n\t['showHorizontalScroll', true, \"bool\"],\n\t['showSheetTabs', true, \"bool\"],\n\t['showVerticalScroll', true, \"bool\"],\n\t['tabRatio', 600, \"int\"],\n\t['visibility', 'visible']\n\t//window{Height,Width}, {x,y}Window\n];\n\n/* 18.2.19 (CT_Sheet) Defaults */\nvar SheetDef = [\n\t//['state', 'visible']\n];\n\n/* 18.2.2 (CT_CalcPr) Defaults */\nvar CalcPrDef = [\n\t['calcCompleted', 'true'],\n\t['calcMode', 'auto'],\n\t['calcOnSave', 'true'],\n\t['concurrentCalc', 'true'],\n\t['fullCalcOnLoad', 'false'],\n\t['fullPrecision', 'true'],\n\t['iterate', 'false'],\n\t['iterateCount', '100'],\n\t['iterateDelta', '0.001'],\n\t['refMode', 'A1']\n];\n\n/* 18.2.3 (CT_CustomWorkbookView) Defaults */\n/*var CustomWBViewDef = [\n\t['autoUpdate', 'false'],\n\t['changesSavedWin', 'false'],\n\t['includeHiddenRowCol', 'true'],\n\t['includePrintSettings', 'true'],\n\t['maximized', 'false'],\n\t['minimized', 'false'],\n\t['onlySync', 'false'],\n\t['personalView', 'false'],\n\t['showComments', 'commIndicator'],\n\t['showFormulaBar', 'true'],\n\t['showHorizontalScroll', 'true'],\n\t['showObjects', 'all'],\n\t['showSheetTabs', 'true'],\n\t['showStatusbar', 'true'],\n\t['showVerticalScroll', 'true'],\n\t['tabRatio', '600'],\n\t['xWindow', '0'],\n\t['yWindow', '0']\n];*/\n\nfunction push_defaults_array(target, defaults) {\n\tfor(var j = 0; j != target.length; ++j) { var w = target[j];\n\t\tfor(var i=0; i != defaults.length; ++i) { var z = defaults[i];\n\t\t\tif(w[z[0]] == null) w[z[0]] = z[1];\n\t\t\telse switch(z[2]) {\n\t\t\tcase \"bool\": if(typeof w[z[0]] == \"string\") w[z[0]] = parsexmlbool(w[z[0]]); break;\n\t\t\tcase \"int\": if(typeof w[z[0]] == \"string\") w[z[0]] = parseInt(w[z[0]], 10); break;\n\t\t\t}\n\t\t}\n\t}\n}\nfunction push_defaults(target, defaults) {\n\tfor(var i = 0; i != defaults.length; ++i) { var z = defaults[i];\n\t\tif(target[z[0]] == null) target[z[0]] = z[1];\n\t\telse switch(z[2]) {\n\t\t\tcase \"bool\": if(typeof target[z[0]] == \"string\") target[z[0]] = parsexmlbool(target[z[0]]); break;\n\t\t\tcase \"int\": if(typeof target[z[0]] == \"string\") target[z[0]] = parseInt(target[z[0]], 10); break;\n\t\t}\n\t}\n}\n\nfunction parse_wb_defaults(wb) {\n\tpush_defaults(wb.WBProps, WBPropsDef);\n\tpush_defaults(wb.CalcPr, CalcPrDef);\n\n\tpush_defaults_array(wb.WBView, WBViewDef);\n\tpush_defaults_array(wb.Sheets, SheetDef);\n\n\t_ssfopts.date1904 = parsexmlbool(wb.WBProps.date1904);\n}\n\nfunction safe1904(wb) {\n\t/* TODO: store date1904 somewhere else */\n\tif(!wb.Workbook) return \"false\";\n\tif(!wb.Workbook.WBProps) return \"false\";\n\treturn parsexmlbool(wb.Workbook.WBProps.date1904) ? \"true\" : \"false\";\n}\n\nvar badchars = \"][*?\\/\\\\\".split(\"\");\nfunction check_ws_name(n, safe) {\n\tif(n.length > 31) { if(safe) return false; throw new Error(\"Sheet names cannot exceed 31 chars\"); }\n\tvar _good = true;\n\tbadchars.forEach(function(c) {\n\t\tif(n.indexOf(c) == -1) return;\n\t\tif(!safe) throw new Error(\"Sheet name cannot contain : \\\\ / ? * [ ]\");\n\t\t_good = false;\n\t});\n\treturn _good;\n}\nfunction check_wb_names(N, S, codes) {\n\tN.forEach(function(n,i) {\n\t\tcheck_ws_name(n);\n\t\tfor(var j = 0; j < i; ++j) if(n == N[j]) throw new Error(\"Duplicate Sheet Name: \" + n);\n\t\tif(codes) {\n\t\t\tvar cn = (S && S[i] && S[i].CodeName) || n;\n\t\t\tif(cn.charCodeAt(0) == 95 && cn.length > 22) throw new Error(\"Bad Code Name: Worksheet\" + cn);\n\t\t}\n\t});\n}\nfunction check_wb(wb) {\n\tif(!wb || !wb.SheetNames || !wb.Sheets) throw new Error(\"Invalid Workbook\");\n\tif(!wb.SheetNames.length) throw new Error(\"Workbook is empty\");\n\tvar Sheets = (wb.Workbook && wb.Workbook.Sheets) || [];\n\tcheck_wb_names(wb.SheetNames, Sheets, !!wb.vbaraw);\n\tfor(var i = 0; i < wb.SheetNames.length; ++i) check_ws(wb.Sheets[wb.SheetNames[i]], wb.SheetNames[i], i);\n\t/* TODO: validate workbook */\n}\n/* 18.2 Workbook */\nvar wbnsregex = /<\\w+:workbook/;\nfunction parse_wb_xml(data, opts) {\n\tif(!data) throw new Error(\"Could not find file\");\n\tvar wb = { AppVersion:{}, WBProps:{}, WBView:[], Sheets:[], CalcPr:{}, Names:[], xmlns: \"\" };\n\tvar pass = false, xmlns = \"xmlns\";\n\tvar dname = {}, dnstart = 0;\n\tdata.replace(tagregex, function xml_wb(x, idx) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.13 fileVersion CT_FileVersion ? */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.2.12 fileSharing CT_FileSharing ? */\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.28 workbookPr CT_WorkbookPr ? */\n\t\t\tcase '':\n\t\t\t\tWBPropsDef.forEach(function(w) {\n\t\t\t\t\tif(y[w[0]] == null) return;\n\t\t\t\t\tswitch(w[2]) {\n\t\t\t\t\t\tcase \"bool\": wb.WBProps[w[0]] = parsexmlbool(y[w[0]]); break;\n\t\t\t\t\t\tcase \"int\": wb.WBProps[w[0]] = parseInt(y[w[0]], 10); break;\n\t\t\t\t\t\tdefault: wb.WBProps[w[0]] = y[w[0]];\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(y.codeName) wb.WBProps.CodeName = utf8read(y.codeName);\n\t\t\t\tbreak;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.29 workbookProtection CT_WorkbookProtection ? */\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.1 bookViews CT_BookViews ? */\n\t\t\tcase '': case '': break;\n\t\t\t/* 18.2.30 workbookView CT_BookView + */\n\t\t\tcase '': delete y[0]; wb.WBView.push(y); break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.20 sheets CT_Sheets 1 */\n\t\t\tcase '': case '': break; // aggregate sheet\n\t\t\t/* 18.2.19 sheet CT_Sheet + */\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.15 functionGroups CT_FunctionGroups ? */\n\t\t\tcase '': break;\n\t\t\t/* 18.2.14 functionGroup CT_FunctionGroup + */\n\t\t\tcase '': case '': break;\n\t\t\t/* 18.2.8 externalReference CT_ExternalReference + */\n\t\t\tcase '': break;\n\t\t\tcase '': case '': pass=false; break;\n\t\t\t/* 18.2.5 definedName CT_DefinedName + */\n\t\t\tcase '': {\n\t\t\t\tdname.Ref = unescapexml(utf8read(data.slice(dnstart, idx)));\n\t\t\t\twb.Names.push(dname);\n\t\t\t} break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.2 calcPr CT_CalcPr ? */\n\t\t\tcase '': delete y[0]; wb.CalcPr = y; break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.16 oleSize CT_OleSize ? (ref required) */\n\t\t\tcase '': case '': case '': break;\n\n\t\t\t/* 18.2.18 pivotCaches CT_PivotCaches ? */\n\t\t\tcase '': case '': case '': break;\n\n\t\t\t/* 18.2.23 smartTagTypes CT_SmartTagTypes ? */\n\t\t\tcase '': case '': break;\n\t\t\t/* 18.2.22 smartTagType CT_SmartTagType ? */\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.11 fileRecoveryPr CT_FileRecoveryPr ? */\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.26 webPublishObjects CT_WebPublishObjects ? */\n\t\t\tcase '': case '': break;\n\t\t\t/* 18.2.25 webPublishObject CT_WebPublishObject ? */\n\t\t\tcase '': case '': case '': break;\n\t\t\t/* 18.2.7 ext CT_Extension + */\n\t\t\tcase '': pass=false; break;\n\n\t\t\t/* Others */\n\t\t\tcase '': pass=true; break;\n\t\t\tcase '': pass=false; break;\n\n\t\t\t/* TODO */\n\t\t\tcase ' 0);\n\n\t/* fileVersion */\n\t/* fileSharing */\n\n\tvar workbookPr = ({codeName:\"ThisWorkbook\"});\n\tif(wb.Workbook && wb.Workbook.WBProps) {\n\t\tWBPropsDef.forEach(function(x) {\nif((wb.Workbook.WBProps[x[0]]) == null) return;\n\t\t\tif((wb.Workbook.WBProps[x[0]]) == x[1]) return;\n\t\t\tworkbookPr[x[0]] = (wb.Workbook.WBProps[x[0]]);\n\t\t});\nif(wb.Workbook.WBProps.CodeName) { workbookPr.codeName = wb.Workbook.WBProps.CodeName; delete workbookPr.CodeName; }\n\t}\n\to[o.length] = (writextag('workbookPr', null, workbookPr));\n\n\t/* workbookProtection */\n\n\tvar sheets = wb.Workbook && wb.Workbook.Sheets || [];\n\tvar i = 0;\n\n\t/* bookViews only written if first worksheet is hidden */\n\tif(sheets && sheets[0] && !!sheets[0].Hidden) {\n\t\to[o.length] = \"\";\n\t\tfor(i = 0; i != wb.SheetNames.length; ++i) {\n\t\t\tif(!sheets[i]) break;\n\t\t\tif(!sheets[i].Hidden) break;\n\t\t}\n\t\tif(i == wb.SheetNames.length) i = 0;\n\t\to[o.length] = '';\n\t\to[o.length] = \"\";\n\t}\n\n\to[o.length] = \"\";\n\tfor(i = 0; i != wb.SheetNames.length; ++i) {\n\t\tvar sht = ({name:escapexml(wb.SheetNames[i].slice(0,31))});\n\t\tsht.sheetId = \"\"+(i+1);\n\t\tsht[\"r:id\"] = \"rId\"+(i+1);\n\t\tif(sheets[i]) switch(sheets[i].Hidden) {\n\t\t\tcase 1: sht.state = \"hidden\"; break;\n\t\t\tcase 2: sht.state = \"veryHidden\"; break;\n\t\t}\n\t\to[o.length] = (writextag('sheet',null,sht));\n\t}\n\to[o.length] = \"\";\n\n\t/* functionGroups */\n\t/* externalReferences */\n\n\tif(write_names) {\n\t\to[o.length] = \"\";\n\t\tif(wb.Workbook && wb.Workbook.Names) wb.Workbook.Names.forEach(function(n) {\n\t\t\tvar d = {name:n.Name};\n\t\t\tif(n.Comment) d.comment = n.Comment;\n\t\t\tif(n.Sheet != null) d.localSheetId = \"\"+n.Sheet;\n\t\t\tif(n.Hidden) d.hidden = \"1\";\n\t\t\tif(!n.Ref) return;\n\t\t\to[o.length] = writextag('definedName', escapexml(n.Ref), d);\n\t\t});\n\t\to[o.length] = \"\";\n\t}\n\n\t/* calcPr */\n\t/* oleSize */\n\t/* customWorkbookViews */\n\t/* pivotCaches */\n\t/* smartTagPr */\n\t/* smartTagTypes */\n\t/* webPublishing */\n\t/* fileRecoveryPr */\n\t/* webPublishObjects */\n\t/* extLst */\n\n\tif(o.length>2){ o[o.length] = ''; o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.304 BrtBundleSh */\nfunction parse_BrtBundleSh(data, length) {\n\tvar z = {};\n\tz.Hidden = data.read_shift(4); //hsState ST_SheetState\n\tz.iTabID = data.read_shift(4);\n\tz.strRelID = parse_RelID(data,length-8);\n\tz.name = parse_XLWideString(data);\n\treturn z;\n}\nfunction write_BrtBundleSh(data, o) {\n\tif(!o) o = new_buf(127);\n\to.write_shift(4, data.Hidden);\n\to.write_shift(4, data.iTabID);\n\twrite_RelID(data.strRelID, o);\n\twrite_XLWideString(data.name.slice(0,31), o);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.815 BrtWbProp */\nfunction parse_BrtWbProp(data, length) {\n\tvar o = ({});\n\tvar flags = data.read_shift(4);\n\to.defaultThemeVersion = data.read_shift(4);\n\tvar strName = (length > 8) ? parse_XLWideString(data) : \"\";\n\tif(strName.length > 0) o.CodeName = strName;\n\to.autoCompressPictures = !!(flags & 0x10000);\n\to.backupFile = !!(flags & 0x40);\n\to.checkCompatibility = !!(flags & 0x1000);\n\to.date1904 = !!(flags & 0x01);\n\to.filterPrivacy = !!(flags & 0x08);\n\to.hidePivotFieldList = !!(flags & 0x400);\n\to.promptedSolutions = !!(flags & 0x10);\n\to.publishItems = !!(flags & 0x800);\n\to.refreshAllConnections = !!(flags & 0x40000);\n\to.saveExternalLinkValues = !!(flags & 0x80);\n\to.showBorderUnselectedTables = !!(flags & 0x04);\n\to.showInkAnnotation = !!(flags & 0x20);\n\to.showObjects = [\"all\", \"placeholders\", \"none\"][(flags >> 13) & 0x03];\n\to.showPivotChartFilter = !!(flags & 0x8000);\n\to.updateLinks = [\"userSet\", \"never\", \"always\"][(flags >> 8) & 0x03];\n\treturn o;\n}\nfunction write_BrtWbProp(data, o) {\n\tif(!o) o = new_buf(72);\n\tvar flags = 0;\n\tif(data) {\n\t\t/* TODO: mirror parse_BrtWbProp fields */\n\t\tif(data.filterPrivacy) flags |= 0x08;\n\t}\n\to.write_shift(4, flags);\n\to.write_shift(4, 0);\n\twrite_XLSBCodeName(data && data.CodeName || \"ThisWorkbook\", o);\n\treturn o.slice(0, o.l);\n}\n\nfunction parse_BrtFRTArchID$(data, length) {\n\tvar o = {};\n\tdata.read_shift(4);\n\to.ArchID = data.read_shift(4);\n\tdata.l += length - 8;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.687 BrtName */\nfunction parse_BrtName(data, length, opts) {\n\tvar end = data.l + length;\n\tdata.l += 4; //var flags = data.read_shift(4);\n\tdata.l += 1; //var chKey = data.read_shift(1);\n\tvar itab = data.read_shift(4);\n\tvar name = parse_XLNameWideString(data);\n\tvar formula = parse_XLSBNameParsedFormula(data, 0, opts);\n\tvar comment = parse_XLNullableWideString(data);\n\t//if(0 /* fProc */) {\n\t\t// unusedstring1: XLNullableWideString\n\t\t// description: XLNullableWideString\n\t\t// helpTopic: XLNullableWideString\n\t\t// unusedstring2: XLNullableWideString\n\t//}\n\tdata.l = end;\n\tvar out = ({Name:name, Ptg:formula});\n\tif(itab < 0xFFFFFFF) out.Sheet = itab;\n\tif(comment) out.Comment = comment;\n\treturn out;\n}\n\n/* [MS-XLSB] 2.1.7.61 Workbook */\nfunction parse_wb_bin(data, opts) {\n\tvar wb = { AppVersion:{}, WBProps:{}, WBView:[], Sheets:[], CalcPr:{}, xmlns: \"\" };\n\tvar state = [];\n\tvar pass = false;\n\n\tif(!opts) opts = {};\n\topts.biff = 12;\n\n\tvar Names = [];\n\tvar supbooks = ([[]]);\n\tsupbooks.SheetNames = [];\n\tsupbooks.XTI = [];\n\n\trecordhopper(data, function hopper_wb(val, R_n, RT) {\n\t\tswitch(RT) {\n\t\t\tcase 0x009C: /* 'BrtBundleSh' */\n\t\t\t\tsupbooks.SheetNames.push(val.name);\n\t\t\t\twb.Sheets.push(val); break;\n\n\t\t\tcase 0x0099: /* 'BrtWbProp' */\n\t\t\t\twb.WBProps = val; break;\n\n\t\t\tcase 0x0027: /* 'BrtName' */\n\t\t\t\tif(val.Sheet != null) opts.SID = val.Sheet;\n\t\t\t\tval.Ref = stringify_formula(val.Ptg, null, null, supbooks, opts);\n\t\t\t\tdelete opts.SID;\n\t\t\t\tdelete val.Ptg;\n\t\t\t\tNames.push(val);\n\t\t\t\tbreak;\n\t\t\tcase 0x040C: /* 'BrtNameExt' */ break;\n\n\t\t\tcase 0x0165: /* 'BrtSupSelf' */\n\t\t\tcase 0x0166: /* 'BrtSupSame' */\n\t\t\tcase 0x0163: /* 'BrtSupBookSrc' */\n\t\t\tcase 0x029B: /* 'BrtSupAddin' */\n\t\t\t\tif(!supbooks[0].length) supbooks[0] = [RT, val];\n\t\t\t\telse supbooks.push([RT, val]);\n\t\t\t\tsupbooks[supbooks.length - 1].XTI = [];\n\t\t\t\tbreak;\n\t\t\tcase 0x016A: /* 'BrtExternSheet' */\n\t\t\t\tif(supbooks.length === 0) { supbooks[0] = []; supbooks[0].XTI = []; }\n\t\t\t\tsupbooks[supbooks.length - 1].XTI = supbooks[supbooks.length - 1].XTI.concat(val);\n\t\t\t\tsupbooks.XTI = supbooks.XTI.concat(val);\n\t\t\t\tbreak;\n\t\t\tcase 0x0169: /* 'BrtPlaceholderName' */\n\t\t\t\tbreak;\n\n\t\t\t/* case 'BrtModelTimeGroupingCalcCol' */\n\t\t\tcase 0x0C00: /* 'BrtUid' */\n\t\t\tcase 0x0C01: /* 'BrtRevisionPtr' */\n\t\t\tcase 0x0817: /* 'BrtAbsPath15' */\n\t\t\tcase 0x0216: /* 'BrtBookProtection' */\n\t\t\tcase 0x02A5: /* 'BrtBookProtectionIso' */\n\t\t\tcase 0x009E: /* 'BrtBookView' */\n\t\t\tcase 0x009D: /* 'BrtCalcProp' */\n\t\t\tcase 0x0262: /* 'BrtCrashRecErr' */\n\t\t\tcase 0x0802: /* 'BrtDecoupledPivotCacheID' */\n\t\t\tcase 0x009B: /* 'BrtFileRecover' */\n\t\t\tcase 0x0224: /* 'BrtFileSharing' */\n\t\t\tcase 0x02A4: /* 'BrtFileSharingIso' */\n\t\t\tcase 0x0080: /* 'BrtFileVersion' */\n\t\t\tcase 0x0299: /* 'BrtFnGroup' */\n\t\t\tcase 0x0850: /* 'BrtModelRelationship' */\n\t\t\tcase 0x084D: /* 'BrtModelTable' */\n\t\t\tcase 0x0225: /* 'BrtOleSize' */\n\t\t\tcase 0x0805: /* 'BrtPivotTableRef' */\n\t\t\tcase 0x0254: /* 'BrtSmartTagType' */\n\t\t\tcase 0x081C: /* 'BrtTableSlicerCacheID' */\n\t\t\tcase 0x081B: /* 'BrtTableSlicerCacheIDs' */\n\t\t\tcase 0x0822: /* 'BrtTimelineCachePivotCacheID' */\n\t\t\tcase 0x018D: /* 'BrtUserBookView' */\n\t\t\tcase 0x009A: /* 'BrtWbFactoid' */\n\t\t\tcase 0x045D: /* 'BrtWbProp14' */\n\t\t\tcase 0x0229: /* 'BrtWebOpt' */\n\t\t\tcase 0x082B: /* 'BrtWorkBookPr15' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tstate.push(R_n); pass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tstate.pop(); pass = false; break;\n\t\t\tcase 0x0025: /* 'BrtACBegin' */\n\t\t\t\tstate.push(R_n); pass = true; break;\n\t\t\tcase 0x0026: /* 'BrtACEnd' */\n\t\t\t\tstate.pop(); pass = false; break;\n\n\t\t\tcase 0x0010: /* 'BrtFRTArchID$' */ break;\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0){/* empty */}\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0){/* empty */}\n\t\t\t\telse if(!pass || (opts.WTF && state[state.length-1] != \"BrtACBegin\" && state[state.length-1] != \"BrtFRTBegin\")) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t}, opts);\n\n\tparse_wb_defaults(wb);\n\n\t// $FlowIgnore\n\twb.Names = Names;\n\n\t(wb).supbooks = supbooks;\n\treturn wb;\n}\n\nfunction write_BUNDLESHS(ba, wb) {\n\twrite_record(ba, \"BrtBeginBundleShs\");\n\tfor(var idx = 0; idx != wb.SheetNames.length; ++idx) {\n\t\tvar viz = wb.Workbook && wb.Workbook.Sheets && wb.Workbook.Sheets[idx] && wb.Workbook.Sheets[idx].Hidden || 0;\n\t\tvar d = { Hidden: viz, iTabID: idx+1, strRelID: 'rId' + (idx+1), name: wb.SheetNames[idx] };\n\t\twrite_record(ba, \"BrtBundleSh\", write_BrtBundleSh(d));\n\t}\n\twrite_record(ba, \"BrtEndBundleShs\");\n}\n\n/* [MS-XLSB] 2.4.649 BrtFileVersion */\nfunction write_BrtFileVersion(data, o) {\n\tif(!o) o = new_buf(127);\n\tfor(var i = 0; i != 4; ++i) o.write_shift(4, 0);\n\twrite_XLWideString(\"SheetJS\", o);\n\twrite_XLWideString(XLSX.version, o);\n\twrite_XLWideString(XLSX.version, o);\n\twrite_XLWideString(\"7262\", o);\n\to.length = o.l;\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.301 BrtBookView */\nfunction write_BrtBookView(idx, o) {\n\tif(!o) o = new_buf(29);\n\to.write_shift(-4, 0);\n\to.write_shift(-4, 460);\n\to.write_shift(4, 28800);\n\to.write_shift(4, 17600);\n\to.write_shift(4, 500);\n\to.write_shift(4, idx);\n\to.write_shift(4, idx);\n\tvar flags = 0x78;\n\to.write_shift(1, flags);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\nfunction write_BOOKVIEWS(ba, wb) {\n\t/* required if hidden tab appears before visible tab */\n\tif(!wb.Workbook || !wb.Workbook.Sheets) return;\n\tvar sheets = wb.Workbook.Sheets;\n\tvar i = 0, vistab = -1, hidden = -1;\n\tfor(; i < sheets.length; ++i) {\n\t\tif(!sheets[i] || !sheets[i].Hidden && vistab == -1) vistab = i;\n\t\telse if(sheets[i].Hidden == 1 && hidden == -1) hidden = i;\n\t}\n\tif(hidden > vistab) return;\n\twrite_record(ba, \"BrtBeginBookViews\");\n\twrite_record(ba, \"BrtBookView\", write_BrtBookView(vistab));\n\t/* 1*(BrtBookView *FRT) */\n\twrite_record(ba, \"BrtEndBookViews\");\n}\n\n/* [MS-XLSB] 2.4.305 BrtCalcProp */\n/*function write_BrtCalcProp(data, o) {\n\tif(!o) o = new_buf(26);\n\to.write_shift(4,0); // force recalc\n\to.write_shift(4,1);\n\to.write_shift(4,0);\n\twrite_Xnum(0, o);\n\to.write_shift(-4, 1023);\n\to.write_shift(1, 0x33);\n\to.write_shift(1, 0x00);\n\treturn o;\n}*/\n\n/* [MS-XLSB] 2.4.646 BrtFileRecover */\n/*function write_BrtFileRecover(data, o) {\n\tif(!o) o = new_buf(1);\n\to.write_shift(1,0);\n\treturn o;\n}*/\n\n/* [MS-XLSB] 2.1.7.61 Workbook */\nfunction write_wb_bin(wb, opts) {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginBook\");\n\twrite_record(ba, \"BrtFileVersion\", write_BrtFileVersion());\n\t/* [[BrtFileSharingIso] BrtFileSharing] */\n\twrite_record(ba, \"BrtWbProp\", write_BrtWbProp(wb.Workbook && wb.Workbook.WBProps || null));\n\t/* [ACABSPATH] */\n\t/* [[BrtBookProtectionIso] BrtBookProtection] */\n\twrite_BOOKVIEWS(ba, wb, opts);\n\twrite_BUNDLESHS(ba, wb, opts);\n\t/* [FNGROUP] */\n\t/* [EXTERNALS] */\n\t/* *BrtName */\n\t/* write_record(ba, \"BrtCalcProp\", write_BrtCalcProp()); */\n\t/* [BrtOleSize] */\n\t/* *(BrtUserBookView *FRT) */\n\t/* [PIVOTCACHEIDS] */\n\t/* [BrtWbFactoid] */\n\t/* [SMARTTAGTYPES] */\n\t/* [BrtWebOpt] */\n\t/* write_record(ba, \"BrtFileRecover\", write_BrtFileRecover()); */\n\t/* [WEBPUBITEMS] */\n\t/* [CRERRS] */\n\t/* FRTWORKBOOK */\n\twrite_record(ba, \"BrtEndBook\");\n\n\treturn ba.end();\n}\nfunction parse_wb(data, name, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_wb_bin((data), opts);\n\treturn parse_wb_xml((data), opts);\n}\n\nfunction parse_ws(data, name, idx, opts, rels, wb, themes, styles) {\n\tif(name.slice(-4)===\".bin\") return parse_ws_bin((data), opts, idx, rels, wb, themes, styles);\n\treturn parse_ws_xml((data), opts, idx, rels, wb, themes, styles);\n}\n\nfunction parse_cs(data, name, idx, opts, rels, wb, themes, styles) {\n\tif(name.slice(-4)===\".bin\") return parse_cs_bin((data), opts, idx, rels, wb, themes, styles);\n\treturn parse_cs_xml((data), opts, idx, rels, wb, themes, styles);\n}\n\nfunction parse_ms(data, name, idx, opts, rels, wb, themes, styles) {\n\tif(name.slice(-4)===\".bin\") return parse_ms_bin((data), opts, idx, rels, wb, themes, styles);\n\treturn parse_ms_xml((data), opts, idx, rels, wb, themes, styles);\n}\n\nfunction parse_ds(data, name, idx, opts, rels, wb, themes, styles) {\n\tif(name.slice(-4)===\".bin\") return parse_ds_bin((data), opts, idx, rels, wb, themes, styles);\n\treturn parse_ds_xml((data), opts, idx, rels, wb, themes, styles);\n}\n\nfunction parse_sty(data, name, themes, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_sty_bin((data), themes, opts);\n\treturn parse_sty_xml((data), themes, opts);\n}\n\nfunction parse_theme(data, name, opts) {\n\treturn parse_theme_xml(data, opts);\n}\n\nfunction parse_sst(data, name, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_sst_bin((data), opts);\n\treturn parse_sst_xml((data), opts);\n}\n\nfunction parse_cmnt(data, name, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_comments_bin((data), opts);\n\treturn parse_comments_xml((data), opts);\n}\n\nfunction parse_cc(data, name, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_cc_bin((data), name, opts);\n\treturn parse_cc_xml((data), name, opts);\n}\n\nfunction parse_xlink(data, rel, name, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_xlink_bin((data), rel, name, opts);\n\treturn parse_xlink_xml((data), rel, name, opts);\n}\n\nfunction write_wb(wb, name, opts) {\n\treturn (name.slice(-4)===\".bin\" ? write_wb_bin : write_wb_xml)(wb, opts);\n}\n\nfunction write_ws(data, name, opts, wb, rels) {\n\treturn (name.slice(-4)===\".bin\" ? write_ws_bin : write_ws_xml)(data, opts, wb, rels);\n}\n\n// eslint-disable-next-line no-unused-vars\nfunction write_cs(data, name, opts, wb, rels) {\n\treturn (name.slice(-4)===\".bin\" ? write_cs_bin : write_cs_xml)(data, opts, wb, rels);\n}\n\nfunction write_sty(data, name, opts) {\n\treturn (name.slice(-4)===\".bin\" ? write_sty_bin : write_sty_xml)(data, opts);\n}\n\nfunction write_sst(data, name, opts) {\n\treturn (name.slice(-4)===\".bin\" ? write_sst_bin : write_sst_xml)(data, opts);\n}\n\nfunction write_cmnt(data, name, opts) {\n\treturn (name.slice(-4)===\".bin\" ? write_comments_bin : write_comments_xml)(data, opts);\n}\n/*\nfunction write_cc(data, name:string, opts) {\n\treturn (name.slice(-4)===\".bin\" ? write_cc_bin : write_cc_xml)(data, opts);\n}\n*/\nvar attregexg2=/([\\w:]+)=((?:\")([^\"]*)(?:\")|(?:')([^']*)(?:'))/g;\nvar attregex2=/([\\w:]+)=((?:\")(?:[^\"]*)(?:\")|(?:')(?:[^']*)(?:'))/;\nfunction xlml_parsexmltag(tag, skip_root) {\n\tvar words = tag.split(/\\s+/);\n\tvar z = ([]); if(!skip_root) z[0] = words[0];\n\tif(words.length === 1) return z;\n\tvar m = tag.match(attregexg2), y, j, w, i;\n\tif(m) for(i = 0; i != m.length; ++i) {\n\t\ty = m[i].match(attregex2);\nif((j=y[1].indexOf(\":\")) === -1) z[y[1]] = y[2].slice(1,y[2].length-1);\n\t\telse {\n\t\t\tif(y[1].slice(0,6) === \"xmlns:\") w = \"xmlns\"+y[1].slice(6);\n\t\t\telse w = y[1].slice(j+1);\n\t\t\tz[w] = y[2].slice(1,y[2].length-1);\n\t\t}\n\t}\n\treturn z;\n}\nfunction xlml_parsexmltagobj(tag) {\n\tvar words = tag.split(/\\s+/);\n\tvar z = {};\n\tif(words.length === 1) return z;\n\tvar m = tag.match(attregexg2), y, j, w, i;\n\tif(m) for(i = 0; i != m.length; ++i) {\n\t\ty = m[i].match(attregex2);\nif((j=y[1].indexOf(\":\")) === -1) z[y[1]] = y[2].slice(1,y[2].length-1);\n\t\telse {\n\t\t\tif(y[1].slice(0,6) === \"xmlns:\") w = \"xmlns\"+y[1].slice(6);\n\t\t\telse w = y[1].slice(j+1);\n\t\t\tz[w] = y[2].slice(1,y[2].length-1);\n\t\t}\n\t}\n\treturn z;\n}\n\n// ----\n\nfunction xlml_format(format, value) {\n\tvar fmt = XLMLFormatMap[format] || unescapexml(format);\n\tif(fmt === \"General\") return SSF._general(value);\n\treturn SSF.format(fmt, value);\n}\n\nfunction xlml_set_custprop(Custprops, key, cp, val) {\n\tvar oval = val;\n\tswitch((cp[0].match(/dt:dt=\"([\\w.]+)\"/)||[\"\",\"\"])[1]) {\n\t\tcase \"boolean\": oval = parsexmlbool(val); break;\n\t\tcase \"i2\": case \"int\": oval = parseInt(val, 10); break;\n\t\tcase \"r4\": case \"float\": oval = parseFloat(val); break;\n\t\tcase \"date\": case \"dateTime.tz\": oval = parseDate(val); break;\n\t\tcase \"i8\": case \"string\": case \"fixed\": case \"uuid\": case \"bin.base64\": break;\n\t\tdefault: throw new Error(\"bad custprop:\" + cp[0]);\n\t}\n\tCustprops[unescapexml(key)] = oval;\n}\n\nfunction safe_format_xlml(cell, nf, o) {\n\tif(cell.t === 'z') return;\n\tif(!o || o.cellText !== false) try {\n\t\tif(cell.t === 'e') { cell.w = cell.w || BErr[cell.v]; }\n\t\telse if(nf === \"General\") {\n\t\t\tif(cell.t === 'n') {\n\t\t\t\tif((cell.v|0) === cell.v) cell.w = SSF._general_int(cell.v);\n\t\t\t\telse cell.w = SSF._general_num(cell.v);\n\t\t\t}\n\t\t\telse cell.w = SSF._general(cell.v);\n\t\t}\n\t\telse cell.w = xlml_format(nf||\"General\", cell.v);\n\t} catch(e) { if(o.WTF) throw e; }\n\ttry {\n\t\tvar z = XLMLFormatMap[nf]||nf||\"General\";\n\t\tif(o.cellNF) cell.z = z;\n\t\tif(o.cellDates && cell.t == 'n' && SSF.is_date(z)) {\n\t\t\tvar _d = SSF.parse_date_code(cell.v); if(_d) { cell.t = 'd'; cell.v = new Date(_d.y, _d.m-1,_d.d,_d.H,_d.M,_d.S,_d.u); }\n\t\t}\n\t} catch(e) { if(o.WTF) throw e; }\n}\n\nfunction process_style_xlml(styles, stag, opts) {\n\tif(opts.cellStyles) {\n\t\tif(stag.Interior) {\n\t\t\tvar I = stag.Interior;\n\t\t\tif(I.Pattern) I.patternType = XLMLPatternTypeMap[I.Pattern] || I.Pattern;\n\t\t}\n\t}\n\tstyles[stag.ID] = stag;\n}\n\n/* TODO: there must exist some form of OSP-blessed spec */\nfunction parse_xlml_data(xml, ss, data, cell, base, styles, csty, row, arrayf, o) {\n\tvar nf = \"General\", sid = cell.StyleID, S = {}; o = o || {};\n\tvar interiors = [];\n\tvar i = 0;\n\tif(sid === undefined && row) sid = row.StyleID;\n\tif(sid === undefined && csty) sid = csty.StyleID;\n\twhile(styles[sid] !== undefined) {\n\t\tif(styles[sid].nf) nf = styles[sid].nf;\n\t\tif(styles[sid].Interior) interiors.push(styles[sid].Interior);\n\t\tif(!styles[sid].Parent) break;\n\t\tsid = styles[sid].Parent;\n\t}\n\tswitch(data.Type) {\n\t\tcase 'Boolean':\n\t\t\tcell.t = 'b';\n\t\t\tcell.v = parsexmlbool(xml);\n\t\t\tbreak;\n\t\tcase 'String':\n\t\t\tcell.t = 's'; cell.r = xlml_fixstr(unescapexml(xml));\n\t\t\tcell.v = (xml.indexOf(\"<\") > -1 ? unescapexml(ss||xml).replace(/<.*?>/g, \"\") : cell.r); // todo: BR etc\n\t\t\tbreak;\n\t\tcase 'DateTime':\n\t\t\tif(xml.slice(-1) != \"Z\") xml += \"Z\";\n\t\t\tcell.v = (parseDate(xml) - new Date(Date.UTC(1899, 11, 30))) / (24 * 60 * 60 * 1000);\n\t\t\tif(cell.v !== cell.v) cell.v = unescapexml(xml);\n\t\t\telse if(cell.v<60) cell.v = cell.v -1;\n\t\t\tif(!nf || nf == \"General\") nf = \"yyyy-mm-dd\";\n\t\t\t/* falls through */\n\t\tcase 'Number':\n\t\t\tif(cell.v === undefined) cell.v=+xml;\n\t\t\tif(!cell.t) cell.t = 'n';\n\t\t\tbreak;\n\t\tcase 'Error': cell.t = 'e'; cell.v = RBErr[xml]; if(o.cellText !== false) cell.w = xml; break;\n\t\tdefault:\n\t\t\tif(xml == \"\" && ss == \"\") { cell.t = 'z'; }\n\t\t\telse { cell.t = 's'; cell.v = xlml_fixstr(ss||xml); }\n\t\t\tbreak;\n\t}\n\tsafe_format_xlml(cell, nf, o);\n\tif(o.cellFormula !== false) {\n\t\tif(cell.Formula) {\n\t\t\tvar fstr = unescapexml(cell.Formula);\n\t\t\t/* strictly speaking, the leading = is required but some writers omit */\n\t\t\tif(fstr.charCodeAt(0) == 61 /* = */) fstr = fstr.slice(1);\n\t\t\tcell.f = rc_to_a1(fstr, base);\n\t\t\tdelete cell.Formula;\n\t\t\tif(cell.ArrayRange == \"RC\") cell.F = rc_to_a1(\"RC:RC\", base);\n\t\t\telse if(cell.ArrayRange) {\n\t\t\t\tcell.F = rc_to_a1(cell.ArrayRange, base);\n\t\t\t\tarrayf.push([safe_decode_range(cell.F), cell.F]);\n\t\t\t}\n\t\t} else {\n\t\t\tfor(i = 0; i < arrayf.length; ++i)\n\t\t\t\tif(base.r >= arrayf[i][0].s.r && base.r <= arrayf[i][0].e.r)\n\t\t\t\t\tif(base.c >= arrayf[i][0].s.c && base.c <= arrayf[i][0].e.c)\n\t\t\t\t\t\tcell.F = arrayf[i][1];\n\t\t}\n\t}\n\tif(o.cellStyles) {\n\t\tinteriors.forEach(function(x) {\n\t\t\tif(!S.patternType && x.patternType) S.patternType = x.patternType;\n\t\t});\n\t\tcell.s = S;\n\t}\n\tif(cell.StyleID !== undefined) cell.ixfe = cell.StyleID;\n}\n\nfunction xlml_clean_comment(comment) {\n\tcomment.t = comment.v || \"\";\n\tcomment.t = comment.t.replace(/\\r\\n/g,\"\\n\").replace(/\\r/g,\"\\n\");\n\tcomment.v = comment.w = comment.ixfe = undefined;\n}\n\nfunction xlml_normalize(d) {\n\tif(has_buf && Buffer.isBuffer(d)) return d.toString('utf8');\n\tif(typeof d === 'string') return d;\n\t/* duktape */\n\tif(typeof Uint8Array !== 'undefined' && d instanceof Uint8Array) return utf8read(a2s(ab2a(d)));\n\tthrow new Error(\"Bad input format: expected Buffer or string\");\n}\n\n/* TODO: Everything */\n/* UOS uses CJK in tags */\nvar xlmlregex = /<(\\/?)([^\\s?>:\\/]+)(?:[\\s?:\\/][^>]*)?>/mg;\n//var xlmlregex = /<(\\/?)([a-z0-9]*:|)(\\w+)[^>]*>/mg;\nfunction parse_xlml_xml(d, _opts) {\n\tvar opts = _opts || {};\n\tmake_ssf(SSF);\n\tvar str = debom(xlml_normalize(d));\n\tif(opts.type == 'binary' || opts.type == 'array' || opts.type == 'base64') {\n\t\tif(typeof cptable !== 'undefined') str = cptable.utils.decode(65001, char_codes(str));\n\t\telse str = utf8read(str);\n\t}\n\tvar opening = str.slice(0, 1024).toLowerCase(), ishtml = false;\n\tif(opening.indexOf(\"= 0) ishtml = true; });\n\tif(ishtml) return HTML_.to_workbook(str, opts);\n\tvar Rn;\n\tvar state = [], tmp;\n\tif(DENSE != null && opts.dense == null) opts.dense = DENSE;\n\tvar sheets = {}, sheetnames = [], cursheet = (opts.dense ? [] : {}), sheetname = \"\";\n\tvar table = {}, cell = ({}), row = {};// eslint-disable-line no-unused-vars\n\tvar dtag = xlml_parsexmltag(''), didx = 0;\n\tvar c = 0, r = 0;\n\tvar refguess = {s: {r:2000000, c:2000000}, e: {r:0, c:0} };\n\tvar styles = {}, stag = {};\n\tvar ss = \"\", fidx = 0;\n\tvar merges = [];\n\tvar Props = {}, Custprops = {}, pidx = 0, cp = [];\n\tvar comments = [], comment = ({});\n\tvar cstys = [], csty, seencol = false;\n\tvar arrayf = [];\n\tvar rowinfo = [], rowobj = {}, cc = 0, rr = 0;\n\tvar Workbook = ({ Sheets:[], WBProps:{date1904:false} }), wsprops = {};\n\txlmlregex.lastIndex = 0;\n\tstr = str.replace(//mg,\"\");\n\tvar raw_Rn3 = \"\";\n\twhile((Rn = xlmlregex.exec(str))) switch((Rn[3] = (raw_Rn3 = Rn[3]).toLowerCase())) {\n\t\tcase 'data' /*case 'Data'*/:\n\t\t\tif(raw_Rn3 == \"data\") {\n\t\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));}\n\t\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], true]);\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tif(state[state.length-1][1]) break;\n\t\t\tif(Rn[1]==='/') parse_xlml_data(str.slice(didx, Rn.index), ss, dtag, state[state.length-1][0]==/*\"Comment\"*/\"comment\"?comment:cell, {c:c,r:r}, styles, cstys[c], row, arrayf, opts);\n\t\t\telse { ss = \"\"; dtag = xlml_parsexmltag(Rn[0]); didx = Rn.index + Rn[0].length; }\n\t\t\tbreak;\n\t\tcase 'cell' /*case 'Cell'*/:\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif(comments.length > 0) cell.c = comments;\n\t\t\t\tif((!opts.sheetRows || opts.sheetRows > r) && cell.v !== undefined) {\n\t\t\t\t\tif(opts.dense) {\n\t\t\t\t\t\tif(!cursheet[r]) cursheet[r] = [];\n\t\t\t\t\t\tcursheet[r][c] = cell;\n\t\t\t\t\t} else cursheet[encode_col(c) + encode_row(r)] = cell;\n\t\t\t\t}\n\t\t\t\tif(cell.HRef) {\n\t\t\t\t\tcell.l = ({Target:cell.HRef});\n\t\t\t\t\tif(cell.HRefScreenTip) cell.l.Tooltip = cell.HRefScreenTip;\n\t\t\t\t\tdelete cell.HRef; delete cell.HRefScreenTip;\n\t\t\t\t}\n\t\t\t\tif(cell.MergeAcross || cell.MergeDown) {\n\t\t\t\t\tcc = c + (parseInt(cell.MergeAcross,10)|0);\n\t\t\t\t\trr = r + (parseInt(cell.MergeDown,10)|0);\n\t\t\t\t\tmerges.push({s:{c:c,r:r},e:{c:cc,r:rr}});\n\t\t\t\t}\n\t\t\t\tif(!opts.sheetStubs) { if(cell.MergeAcross) c = cc + 1; else ++c; }\n\t\t\t\telse if(cell.MergeAcross || cell.MergeDown) {\nfor(var cma = c; cma <= cc; ++cma) {\n\t\t\t\t\t\tfor(var cmd = r; cmd <= rr; ++cmd) {\n\t\t\t\t\t\t\tif(cma > c || cmd > r) {\n\t\t\t\t\t\t\t\tif(opts.dense) {\n\t\t\t\t\t\t\t\t\tif(!cursheet[cmd]) cursheet[cmd] = [];\n\t\t\t\t\t\t\t\t\tcursheet[cmd][cma] = {t:'z'};\n\t\t\t\t\t\t\t\t} else cursheet[encode_col(cma) + encode_row(cmd)] = {t:'z'};\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tc = cc + 1;\n\t\t\t\t}\n\t\t\t\telse ++c;\n\t\t\t} else {\n\t\t\t\tcell = xlml_parsexmltagobj(Rn[0]);\n\t\t\t\tif(cell.Index) c = +cell.Index - 1;\n\t\t\t\tif(c < refguess.s.c) refguess.s.c = c;\n\t\t\t\tif(c > refguess.e.c) refguess.e.c = c;\n\t\t\t\tif(Rn[0].slice(-2) === \"/>\") ++c;\n\t\t\t\tcomments = [];\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'row' /*case 'Row'*/:\n\t\t\tif(Rn[1]==='/' || Rn[0].slice(-2) === \"/>\") {\n\t\t\t\tif(r < refguess.s.r) refguess.s.r = r;\n\t\t\t\tif(r > refguess.e.r) refguess.e.r = r;\n\t\t\t\tif(Rn[0].slice(-2) === \"/>\") {\n\t\t\t\t\trow = xlml_parsexmltag(Rn[0]);\n\t\t\t\t\tif(row.Index) r = +row.Index - 1;\n\t\t\t\t}\n\t\t\t\tc = 0; ++r;\n\t\t\t} else {\n\t\t\t\trow = xlml_parsexmltag(Rn[0]);\n\t\t\t\tif(row.Index) r = +row.Index - 1;\n\t\t\t\trowobj = {};\n\t\t\t\tif(row.AutoFitHeight == \"0\" || row.Height) {\n\t\t\t\t\trowobj.hpx = parseInt(row.Height, 10); rowobj.hpt = px2pt(rowobj.hpx);\n\t\t\t\t\trowinfo[r] = rowobj;\n\t\t\t\t}\n\t\t\t\tif(row.Hidden == \"1\") { rowobj.hidden = true; rowinfo[r] = rowobj; }\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'worksheet' /*case 'Worksheet'*/: /* TODO: read range from FullRows/FullColumns */\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));\n\t\t\t\tsheetnames.push(sheetname);\n\t\t\t\tif(refguess.s.r <= refguess.e.r && refguess.s.c <= refguess.e.c) {\n\t\t\t\t\tcursheet[\"!ref\"] = encode_range(refguess);\n\t\t\t\t\tif(opts.sheetRows && opts.sheetRows <= refguess.e.r) {\n\t\t\t\t\t\tcursheet[\"!fullref\"] = cursheet[\"!ref\"];\n\t\t\t\t\t\trefguess.e.r = opts.sheetRows - 1;\n\t\t\t\t\t\tcursheet[\"!ref\"] = encode_range(refguess);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(merges.length) cursheet[\"!merges\"] = merges;\n\t\t\t\tif(cstys.length > 0) cursheet[\"!cols\"] = cstys;\n\t\t\t\tif(rowinfo.length > 0) cursheet[\"!rows\"] = rowinfo;\n\t\t\t\tsheets[sheetname] = cursheet;\n\t\t\t} else {\n\t\t\t\trefguess = {s: {r:2000000, c:2000000}, e: {r:0, c:0} };\n\t\t\t\tr = c = 0;\n\t\t\t\tstate.push([Rn[3], false]);\n\t\t\t\ttmp = xlml_parsexmltag(Rn[0]);\n\t\t\t\tsheetname = unescapexml(tmp.Name);\n\t\t\t\tcursheet = (opts.dense ? [] : {});\n\t\t\t\tmerges = [];\n\t\t\t\tarrayf = [];\n\t\t\t\trowinfo = [];\n\t\t\t\twsprops = {name:sheetname, Hidden:0};\n\t\t\t\tWorkbook.Sheets.push(wsprops);\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'table' /*case 'Table'*/:\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));}\n\t\t\telse if(Rn[0].slice(-2) == \"/>\") break;\n\t\t\telse {\n\t\t\t\ttable = xlml_parsexmltag(Rn[0]);\n\t\t\t\tstate.push([Rn[3], false]);\n\t\t\t\tcstys = []; seencol = false;\n\t\t\t}\n\t\t\tbreak;\n\n\t\tcase 'style' /*case 'Style'*/:\n\t\t\tif(Rn[1]==='/') process_style_xlml(styles, stag, opts);\n\t\t\telse stag = xlml_parsexmltag(Rn[0]);\n\t\t\tbreak;\n\n\t\tcase 'numberformat' /*case 'NumberFormat'*/:\n\t\t\tstag.nf = unescapexml(xlml_parsexmltag(Rn[0]).Format || \"General\");\n\t\t\tif(XLMLFormatMap[stag.nf]) stag.nf = XLMLFormatMap[stag.nf];\n\t\t\tfor(var ssfidx = 0; ssfidx != 0x188; ++ssfidx) if(SSF._table[ssfidx] == stag.nf) break;\n\t\t\tif(ssfidx == 0x188) for(ssfidx = 0x39; ssfidx != 0x188; ++ssfidx) if(SSF._table[ssfidx] == null) { SSF.load(stag.nf, ssfidx); break; }\n\t\t\tbreak;\n\n\t\tcase 'column' /*case 'Column'*/:\n\t\t\tif(state[state.length-1][0] !== /*'Table'*/'table') break;\n\t\t\tcsty = xlml_parsexmltag(Rn[0]);\n\t\t\tif(csty.Hidden) { csty.hidden = true; delete csty.Hidden; }\n\t\t\tif(csty.Width) csty.wpx = parseInt(csty.Width, 10);\n\t\t\tif(!seencol && csty.wpx > 10) {\n\t\t\t\tseencol = true; MDW = DEF_MDW; //find_mdw_wpx(csty.wpx);\n\t\t\t\tfor(var _col = 0; _col < cstys.length; ++_col) if(cstys[_col]) process_col(cstys[_col]);\n\t\t\t}\n\t\t\tif(seencol) process_col(csty);\n\t\t\tcstys[(csty.Index-1||cstys.length)] = csty;\n\t\t\tfor(var i = 0; i < +csty.Span; ++i) cstys[cstys.length] = dup(csty);\n\t\t\tbreak;\n\n\t\tcase 'namedrange' /*case 'NamedRange'*/:\n\t\t\tif(Rn[1]==='/') break;\n\t\t\tif(!Workbook.Names) Workbook.Names = [];\n\t\t\tvar _NamedRange = parsexmltag(Rn[0]);\n\t\t\tvar _DefinedName = ({\n\t\t\t\tName: _NamedRange.Name,\n\t\t\t\tRef: rc_to_a1(_NamedRange.RefersTo.slice(1), {r:0, c:0})\n\t\t\t});\n\t\t\tif(Workbook.Sheets.length>0) _DefinedName.Sheet=Workbook.Sheets.length-1;\nWorkbook.Names.push(_DefinedName);\n\t\t\tbreak;\n\n\t\tcase 'namedcell' /*case 'NamedCell'*/: break;\n\t\tcase 'b' /*case 'B'*/: break;\n\t\tcase 'i' /*case 'I'*/: break;\n\t\tcase 'u' /*case 'U'*/: break;\n\t\tcase 's' /*case 'S'*/: break;\n\t\tcase 'em' /*case 'EM'*/: break;\n\t\tcase 'h2' /*case 'H2'*/: break;\n\t\tcase 'h3' /*case 'H3'*/: break;\n\t\tcase 'sub' /*case 'Sub'*/: break;\n\t\tcase 'sup' /*case 'Sup'*/: break;\n\t\tcase 'span' /*case 'Span'*/: break;\n\t\tcase 'alignment' /*case 'Alignment'*/:\n\t\t\tbreak;\n\t\tcase 'borders' /*case 'Borders'*/: break;\n\t\tcase 'border' /*case 'Border'*/: break;\n\t\tcase 'font' /*case 'Font'*/:\n\t\t\tif(Rn[0].slice(-2) === \"/>\") break;\n\t\t\telse if(Rn[1]===\"/\") ss += str.slice(fidx, Rn.index);\n\t\t\telse fidx = Rn.index + Rn[0].length;\n\t\t\tbreak;\n\t\tcase 'interior' /*case 'Interior'*/:\n\t\t\tif(!opts.cellStyles) break;\n\t\t\tstag.Interior = xlml_parsexmltag(Rn[0]);\n\t\t\tbreak;\n\t\tcase 'protection' /*case 'Protection'*/: break;\n\n\t\tcase 'author' /*case 'Author'*/:\n\t\tcase 'title' /*case 'Title'*/:\n\t\tcase 'description' /*case 'Description'*/:\n\t\tcase 'created' /*case 'Created'*/:\n\t\tcase 'keywords' /*case 'Keywords'*/:\n\t\tcase 'subject' /*case 'Subject'*/:\n\t\tcase 'category' /*case 'Category'*/:\n\t\tcase 'company' /*case 'Company'*/:\n\t\tcase 'lastauthor' /*case 'LastAuthor'*/:\n\t\tcase 'lastsaved' /*case 'LastSaved'*/:\n\t\tcase 'lastprinted' /*case 'LastPrinted'*/:\n\t\tcase 'version' /*case 'Version'*/:\n\t\tcase 'revision' /*case 'Revision'*/:\n\t\tcase 'totaltime' /*case 'TotalTime'*/:\n\t\tcase 'hyperlinkbase' /*case 'HyperlinkBase'*/:\n\t\tcase 'manager' /*case 'Manager'*/:\n\t\tcase 'contentstatus' /*case 'ContentStatus'*/:\n\t\tcase 'identifier' /*case 'Identifier'*/:\n\t\tcase 'language' /*case 'Language'*/:\n\t\tcase 'appname' /*case 'AppName'*/:\n\t\t\tif(Rn[0].slice(-2) === \"/>\") break;\n\t\t\telse if(Rn[1]===\"/\") xlml_set_prop(Props, raw_Rn3, str.slice(pidx, Rn.index));\n\t\t\telse pidx = Rn.index + Rn[0].length;\n\t\t\tbreak;\n\t\tcase 'paragraphs' /*case 'Paragraphs'*/: break;\n\n\t\tcase 'styles' /*case 'Styles'*/:\n\t\tcase 'workbook' /*case 'Workbook'*/:\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));}\n\t\t\telse state.push([Rn[3], false]);\n\t\t\tbreak;\n\n\t\tcase 'comment' /*case 'Comment'*/:\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));\n\t\t\t\txlml_clean_comment(comment);\n\t\t\t\tcomments.push(comment);\n\t\t\t} else {\n\t\t\t\tstate.push([Rn[3], false]);\n\t\t\t\ttmp = xlml_parsexmltag(Rn[0]);\n\t\t\t\tcomment = ({a:tmp.Author});\n\t\t\t}\n\t\t\tbreak;\n\n\t\tcase 'autofilter' /*case 'AutoFilter'*/:\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));}\n\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') {\n\t\t\t\tvar AutoFilter = xlml_parsexmltag(Rn[0]);\n\t\t\t\tcursheet['!autofilter'] = { ref:rc_to_a1(AutoFilter.Range).replace(/\\$/g,\"\") };\n\t\t\t\tstate.push([Rn[3], true]);\n\t\t\t}\n\t\t\tbreak;\n\n\t\tcase 'name' /*case 'Name'*/: break;\n\n\t\tcase 'datavalidation' /*case 'DataValidation'*/:\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));\n\t\t\t} else {\n\t\t\t\tif(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], true]);\n\t\t\t}\n\t\t\tbreak;\n\n\t\tcase 'pixelsperinch' /*case 'PixelsPerInch'*/:\n\t\t\tbreak;\n\t\tcase 'componentoptions' /*case 'ComponentOptions'*/:\n\t\tcase 'documentproperties' /*case 'DocumentProperties'*/:\n\t\tcase 'customdocumentproperties' /*case 'CustomDocumentProperties'*/:\n\t\tcase 'officedocumentsettings' /*case 'OfficeDocumentSettings'*/:\n\t\tcase 'pivottable' /*case 'PivotTable'*/:\n\t\tcase 'pivotcache' /*case 'PivotCache'*/:\n\t\tcase 'names' /*case 'Names'*/:\n\t\tcase 'mapinfo' /*case 'MapInfo'*/:\n\t\tcase 'pagebreaks' /*case 'PageBreaks'*/:\n\t\tcase 'querytable' /*case 'QueryTable'*/:\n\t\tcase 'sorting' /*case 'Sorting'*/:\n\t\tcase 'schema' /*case 'Schema'*/: //case 'data' /*case 'data'*/:\n\t\tcase 'conditionalformatting' /*case 'ConditionalFormatting'*/:\n\t\tcase 'smarttagtype' /*case 'SmartTagType'*/:\n\t\tcase 'smarttags' /*case 'SmartTags'*/:\n\t\tcase 'excelworkbook' /*case 'ExcelWorkbook'*/:\n\t\tcase 'workbookoptions' /*case 'WorkbookOptions'*/:\n\t\tcase 'worksheetoptions' /*case 'WorksheetOptions'*/:\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));}\n\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], true]);\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\t/* FODS file root is */\n\t\t\tif(state.length == 0 && Rn[3] == \"document\") return parse_fods(str, opts);\n\t\t\t/* UOS file root is */\n\t\t\tif(state.length == 0 && Rn[3] == \"uof\"/*\"UOF\"*/) return parse_fods(str, opts);\n\n\t\t\tvar seen = true;\n\t\t\tswitch(state[state.length-1][0]) {\n\t\t\t\t/* OfficeDocumentSettings */\n\t\t\t\tcase 'officedocumentsettings' /*case 'OfficeDocumentSettings'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'allowpng' /*case 'AllowPNG'*/: break;\n\t\t\t\t\tcase 'removepersonalinformation' /*case 'RemovePersonalInformation'*/: break;\n\t\t\t\t\tcase 'downloadcomponents' /*case 'DownloadComponents'*/: break;\n\t\t\t\t\tcase 'locationofcomponents' /*case 'LocationOfComponents'*/: break;\n\t\t\t\t\tcase 'colors' /*case 'Colors'*/: break;\n\t\t\t\t\tcase 'color' /*case 'Color'*/: break;\n\t\t\t\t\tcase 'index' /*case 'Index'*/: break;\n\t\t\t\t\tcase 'rgb' /*case 'RGB'*/: break;\n\t\t\t\t\tcase 'targetscreensize' /*case 'TargetScreenSize'*/: break;\n\t\t\t\t\tcase 'readonlyrecommended' /*case 'ReadOnlyRecommended'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* ComponentOptions */\n\t\t\t\tcase 'componentoptions' /*case 'ComponentOptions'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'toolbar' /*case 'Toolbar'*/: break;\n\t\t\t\t\tcase 'hideofficelogo' /*case 'HideOfficeLogo'*/: break;\n\t\t\t\t\tcase 'spreadsheetautofit' /*case 'SpreadsheetAutoFit'*/: break;\n\t\t\t\t\tcase 'label' /*case 'Label'*/: break;\n\t\t\t\t\tcase 'caption' /*case 'Caption'*/: break;\n\t\t\t\t\tcase 'maxheight' /*case 'MaxHeight'*/: break;\n\t\t\t\t\tcase 'maxwidth' /*case 'MaxWidth'*/: break;\n\t\t\t\t\tcase 'nextsheetnumber' /*case 'NextSheetNumber'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* ExcelWorkbook */\n\t\t\t\tcase 'excelworkbook' /*case 'ExcelWorkbook'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'date1904' /*case 'Date1904'*/:\nWorkbook.WBProps.date1904 = true;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'windowheight' /*case 'WindowHeight'*/: break;\n\t\t\t\t\tcase 'windowwidth' /*case 'WindowWidth'*/: break;\n\t\t\t\t\tcase 'windowtopx' /*case 'WindowTopX'*/: break;\n\t\t\t\t\tcase 'windowtopy' /*case 'WindowTopY'*/: break;\n\t\t\t\t\tcase 'tabratio' /*case 'TabRatio'*/: break;\n\t\t\t\t\tcase 'protectstructure' /*case 'ProtectStructure'*/: break;\n\t\t\t\t\tcase 'protectwindow' /*case 'ProtectWindow'*/: break;\n\t\t\t\t\tcase 'protectwindows' /*case 'ProtectWindows'*/: break;\n\t\t\t\t\tcase 'activesheet' /*case 'ActiveSheet'*/: break;\n\t\t\t\t\tcase 'displayinknotes' /*case 'DisplayInkNotes'*/: break;\n\t\t\t\t\tcase 'firstvisiblesheet' /*case 'FirstVisibleSheet'*/: break;\n\t\t\t\t\tcase 'supbook' /*case 'SupBook'*/: break;\n\t\t\t\t\tcase 'sheetname' /*case 'SheetName'*/: break;\n\t\t\t\t\tcase 'sheetindex' /*case 'SheetIndex'*/: break;\n\t\t\t\t\tcase 'sheetindexfirst' /*case 'SheetIndexFirst'*/: break;\n\t\t\t\t\tcase 'sheetindexlast' /*case 'SheetIndexLast'*/: break;\n\t\t\t\t\tcase 'dll' /*case 'Dll'*/: break;\n\t\t\t\t\tcase 'acceptlabelsinformulas' /*case 'AcceptLabelsInFormulas'*/: break;\n\t\t\t\t\tcase 'donotsavelinkvalues' /*case 'DoNotSaveLinkValues'*/: break;\n\t\t\t\t\tcase 'iteration' /*case 'Iteration'*/: break;\n\t\t\t\t\tcase 'maxiterations' /*case 'MaxIterations'*/: break;\n\t\t\t\t\tcase 'maxchange' /*case 'MaxChange'*/: break;\n\t\t\t\t\tcase 'path' /*case 'Path'*/: break;\n\t\t\t\t\tcase 'xct' /*case 'Xct'*/: break;\n\t\t\t\t\tcase 'count' /*case 'Count'*/: break;\n\t\t\t\t\tcase 'selectedsheets' /*case 'SelectedSheets'*/: break;\n\t\t\t\t\tcase 'calculation' /*case 'Calculation'*/: break;\n\t\t\t\t\tcase 'uncalced' /*case 'Uncalced'*/: break;\n\t\t\t\t\tcase 'startupprompt' /*case 'StartupPrompt'*/: break;\n\t\t\t\t\tcase 'crn' /*case 'Crn'*/: break;\n\t\t\t\t\tcase 'externname' /*case 'ExternName'*/: break;\n\t\t\t\t\tcase 'formula' /*case 'Formula'*/: break;\n\t\t\t\t\tcase 'colfirst' /*case 'ColFirst'*/: break;\n\t\t\t\t\tcase 'collast' /*case 'ColLast'*/: break;\n\t\t\t\t\tcase 'wantadvise' /*case 'WantAdvise'*/: break;\n\t\t\t\t\tcase 'boolean' /*case 'Boolean'*/: break;\n\t\t\t\t\tcase 'error' /*case 'Error'*/: break;\n\t\t\t\t\tcase 'text' /*case 'Text'*/: break;\n\t\t\t\t\tcase 'ole' /*case 'OLE'*/: break;\n\t\t\t\t\tcase 'noautorecover' /*case 'NoAutoRecover'*/: break;\n\t\t\t\t\tcase 'publishobjects' /*case 'PublishObjects'*/: break;\n\t\t\t\t\tcase 'donotcalculatebeforesave' /*case 'DoNotCalculateBeforeSave'*/: break;\n\t\t\t\t\tcase 'number' /*case 'Number'*/: break;\n\t\t\t\t\tcase 'refmoder1c1' /*case 'RefModeR1C1'*/: break;\n\t\t\t\t\tcase 'embedsavesmarttags' /*case 'EmbedSaveSmartTags'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* WorkbookOptions */\n\t\t\t\tcase 'workbookoptions' /*case 'WorkbookOptions'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'owcversion' /*case 'OWCVersion'*/: break;\n\t\t\t\t\tcase 'height' /*case 'Height'*/: break;\n\t\t\t\t\tcase 'width' /*case 'Width'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* WorksheetOptions */\n\t\t\t\tcase 'worksheetoptions' /*case 'WorksheetOptions'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'visible' /*case 'Visible'*/:\n\t\t\t\t\t\tif(Rn[0].slice(-2) === \"/>\"){/* empty */}\n\t\t\t\t\t\telse if(Rn[1]===\"/\") switch(str.slice(pidx, Rn.index)) {\n\t\t\t\t\t\t\tcase \"SheetHidden\": wsprops.Hidden = 1; break;\n\t\t\t\t\t\t\tcase \"SheetVeryHidden\": wsprops.Hidden = 2; break;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse pidx = Rn.index + Rn[0].length;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'header' /*case 'Header'*/:\n\t\t\t\t\t\tif(!cursheet['!margins']) default_margins(cursheet['!margins']={}, 'xlml');\n\t\t\t\t\t\tcursheet['!margins'].header = parsexmltag(Rn[0]).Margin;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'footer' /*case 'Footer'*/:\n\t\t\t\t\t\tif(!cursheet['!margins']) default_margins(cursheet['!margins']={}, 'xlml');\n\t\t\t\t\t\tcursheet['!margins'].footer = parsexmltag(Rn[0]).Margin;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'pagemargins' /*case 'PageMargins'*/:\n\t\t\t\t\t\tvar pagemargins = parsexmltag(Rn[0]);\n\t\t\t\t\t\tif(!cursheet['!margins']) default_margins(cursheet['!margins']={},'xlml');\n\t\t\t\t\t\tif(pagemargins.Top) cursheet['!margins'].top = pagemargins.Top;\n\t\t\t\t\t\tif(pagemargins.Left) cursheet['!margins'].left = pagemargins.Left;\n\t\t\t\t\t\tif(pagemargins.Right) cursheet['!margins'].right = pagemargins.Right;\n\t\t\t\t\t\tif(pagemargins.Bottom) cursheet['!margins'].bottom = pagemargins.Bottom;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'displayrighttoleft' /*case 'DisplayRightToLeft'*/:\n\t\t\t\t\t\tif(!Workbook.Views) Workbook.Views = [];\n\t\t\t\t\t\tif(!Workbook.Views[0]) Workbook.Views[0] = {};\n\t\t\t\t\t\tWorkbook.Views[0].RTL = true;\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'freezepanes' /*case 'FreezePanes'*/: break;\n\t\t\t\t\tcase 'frozennosplit' /*case 'FrozenNoSplit'*/: break;\n\n\t\t\t\t\tcase 'splithorizontal' /*case 'SplitHorizontal'*/:\n\t\t\t\t\tcase 'splitvertical' /*case 'SplitVertical'*/:\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'donotdisplaygridlines' /*case 'DoNotDisplayGridlines'*/:\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'activerow' /*case 'ActiveRow'*/: break;\n\t\t\t\t\tcase 'activecol' /*case 'ActiveCol'*/: break;\n\t\t\t\t\tcase 'toprowbottompane' /*case 'TopRowBottomPane'*/: break;\n\t\t\t\t\tcase 'leftcolumnrightpane' /*case 'LeftColumnRightPane'*/: break;\n\n\t\t\t\t\tcase 'unsynced' /*case 'Unsynced'*/: break;\n\t\t\t\t\tcase 'print' /*case 'Print'*/: break;\n\t\t\t\t\tcase 'panes' /*case 'Panes'*/: break;\n\t\t\t\t\tcase 'scale' /*case 'Scale'*/: break;\n\t\t\t\t\tcase 'pane' /*case 'Pane'*/: break;\n\t\t\t\t\tcase 'number' /*case 'Number'*/: break;\n\t\t\t\t\tcase 'layout' /*case 'Layout'*/: break;\n\t\t\t\t\tcase 'pagesetup' /*case 'PageSetup'*/: break;\n\t\t\t\t\tcase 'selected' /*case 'Selected'*/: break;\n\t\t\t\t\tcase 'protectobjects' /*case 'ProtectObjects'*/: break;\n\t\t\t\t\tcase 'enableselection' /*case 'EnableSelection'*/: break;\n\t\t\t\t\tcase 'protectscenarios' /*case 'ProtectScenarios'*/: break;\n\t\t\t\t\tcase 'validprinterinfo' /*case 'ValidPrinterInfo'*/: break;\n\t\t\t\t\tcase 'horizontalresolution' /*case 'HorizontalResolution'*/: break;\n\t\t\t\t\tcase 'verticalresolution' /*case 'VerticalResolution'*/: break;\n\t\t\t\t\tcase 'numberofcopies' /*case 'NumberofCopies'*/: break;\n\t\t\t\t\tcase 'activepane' /*case 'ActivePane'*/: break;\n\t\t\t\t\tcase 'toprowvisible' /*case 'TopRowVisible'*/: break;\n\t\t\t\t\tcase 'leftcolumnvisible' /*case 'LeftColumnVisible'*/: break;\n\t\t\t\t\tcase 'fittopage' /*case 'FitToPage'*/: break;\n\t\t\t\t\tcase 'rangeselection' /*case 'RangeSelection'*/: break;\n\t\t\t\t\tcase 'papersizeindex' /*case 'PaperSizeIndex'*/: break;\n\t\t\t\t\tcase 'pagelayoutzoom' /*case 'PageLayoutZoom'*/: break;\n\t\t\t\t\tcase 'pagebreakzoom' /*case 'PageBreakZoom'*/: break;\n\t\t\t\t\tcase 'filteron' /*case 'FilterOn'*/: break;\n\t\t\t\t\tcase 'fitwidth' /*case 'FitWidth'*/: break;\n\t\t\t\t\tcase 'fitheight' /*case 'FitHeight'*/: break;\n\t\t\t\t\tcase 'commentslayout' /*case 'CommentsLayout'*/: break;\n\t\t\t\t\tcase 'zoom' /*case 'Zoom'*/: break;\n\t\t\t\t\tcase 'lefttoright' /*case 'LeftToRight'*/: break;\n\t\t\t\t\tcase 'gridlines' /*case 'Gridlines'*/: break;\n\t\t\t\t\tcase 'allowsort' /*case 'AllowSort'*/: break;\n\t\t\t\t\tcase 'allowfilter' /*case 'AllowFilter'*/: break;\n\t\t\t\t\tcase 'allowinsertrows' /*case 'AllowInsertRows'*/: break;\n\t\t\t\t\tcase 'allowdeleterows' /*case 'AllowDeleteRows'*/: break;\n\t\t\t\t\tcase 'allowinsertcols' /*case 'AllowInsertCols'*/: break;\n\t\t\t\t\tcase 'allowdeletecols' /*case 'AllowDeleteCols'*/: break;\n\t\t\t\t\tcase 'allowinserthyperlinks' /*case 'AllowInsertHyperlinks'*/: break;\n\t\t\t\t\tcase 'allowformatcells' /*case 'AllowFormatCells'*/: break;\n\t\t\t\t\tcase 'allowsizecols' /*case 'AllowSizeCols'*/: break;\n\t\t\t\t\tcase 'allowsizerows' /*case 'AllowSizeRows'*/: break;\n\t\t\t\t\tcase 'nosummaryrowsbelowdetail' /*case 'NoSummaryRowsBelowDetail'*/: break;\n\t\t\t\t\tcase 'tabcolorindex' /*case 'TabColorIndex'*/: break;\n\t\t\t\t\tcase 'donotdisplayheadings' /*case 'DoNotDisplayHeadings'*/: break;\n\t\t\t\t\tcase 'showpagelayoutzoom' /*case 'ShowPageLayoutZoom'*/: break;\n\t\t\t\t\tcase 'nosummarycolumnsrightdetail' /*case 'NoSummaryColumnsRightDetail'*/: break;\n\t\t\t\t\tcase 'blackandwhite' /*case 'BlackAndWhite'*/: break;\n\t\t\t\t\tcase 'donotdisplayzeros' /*case 'DoNotDisplayZeros'*/: break;\n\t\t\t\t\tcase 'displaypagebreak' /*case 'DisplayPageBreak'*/: break;\n\t\t\t\t\tcase 'rowcolheadings' /*case 'RowColHeadings'*/: break;\n\t\t\t\t\tcase 'donotdisplayoutline' /*case 'DoNotDisplayOutline'*/: break;\n\t\t\t\t\tcase 'noorientation' /*case 'NoOrientation'*/: break;\n\t\t\t\t\tcase 'allowusepivottables' /*case 'AllowUsePivotTables'*/: break;\n\t\t\t\t\tcase 'zeroheight' /*case 'ZeroHeight'*/: break;\n\t\t\t\t\tcase 'viewablerange' /*case 'ViewableRange'*/: break;\n\t\t\t\t\tcase 'selection' /*case 'Selection'*/: break;\n\t\t\t\t\tcase 'protectcontents' /*case 'ProtectContents'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* PivotTable */\n\t\t\t\tcase 'pivottable' /*case 'PivotTable'*/: case 'pivotcache' /*case 'PivotCache'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'immediateitemsondrop' /*case 'ImmediateItemsOnDrop'*/: break;\n\t\t\t\t\tcase 'showpagemultipleitemlabel' /*case 'ShowPageMultipleItemLabel'*/: break;\n\t\t\t\t\tcase 'compactrowindent' /*case 'CompactRowIndent'*/: break;\n\t\t\t\t\tcase 'location' /*case 'Location'*/: break;\n\t\t\t\t\tcase 'pivotfield' /*case 'PivotField'*/: break;\n\t\t\t\t\tcase 'orientation' /*case 'Orientation'*/: break;\n\t\t\t\t\tcase 'layoutform' /*case 'LayoutForm'*/: break;\n\t\t\t\t\tcase 'layoutsubtotallocation' /*case 'LayoutSubtotalLocation'*/: break;\n\t\t\t\t\tcase 'layoutcompactrow' /*case 'LayoutCompactRow'*/: break;\n\t\t\t\t\tcase 'position' /*case 'Position'*/: break;\n\t\t\t\t\tcase 'pivotitem' /*case 'PivotItem'*/: break;\n\t\t\t\t\tcase 'datatype' /*case 'DataType'*/: break;\n\t\t\t\t\tcase 'datafield' /*case 'DataField'*/: break;\n\t\t\t\t\tcase 'sourcename' /*case 'SourceName'*/: break;\n\t\t\t\t\tcase 'parentfield' /*case 'ParentField'*/: break;\n\t\t\t\t\tcase 'ptlineitems' /*case 'PTLineItems'*/: break;\n\t\t\t\t\tcase 'ptlineitem' /*case 'PTLineItem'*/: break;\n\t\t\t\t\tcase 'countofsameitems' /*case 'CountOfSameItems'*/: break;\n\t\t\t\t\tcase 'item' /*case 'Item'*/: break;\n\t\t\t\t\tcase 'itemtype' /*case 'ItemType'*/: break;\n\t\t\t\t\tcase 'ptsource' /*case 'PTSource'*/: break;\n\t\t\t\t\tcase 'cacheindex' /*case 'CacheIndex'*/: break;\n\t\t\t\t\tcase 'consolidationreference' /*case 'ConsolidationReference'*/: break;\n\t\t\t\t\tcase 'filename' /*case 'FileName'*/: break;\n\t\t\t\t\tcase 'reference' /*case 'Reference'*/: break;\n\t\t\t\t\tcase 'nocolumngrand' /*case 'NoColumnGrand'*/: break;\n\t\t\t\t\tcase 'norowgrand' /*case 'NoRowGrand'*/: break;\n\t\t\t\t\tcase 'blanklineafteritems' /*case 'BlankLineAfterItems'*/: break;\n\t\t\t\t\tcase 'hidden' /*case 'Hidden'*/: break;\n\t\t\t\t\tcase 'subtotal' /*case 'Subtotal'*/: break;\n\t\t\t\t\tcase 'basefield' /*case 'BaseField'*/: break;\n\t\t\t\t\tcase 'mapchilditems' /*case 'MapChildItems'*/: break;\n\t\t\t\t\tcase 'function' /*case 'Function'*/: break;\n\t\t\t\t\tcase 'refreshonfileopen' /*case 'RefreshOnFileOpen'*/: break;\n\t\t\t\t\tcase 'printsettitles' /*case 'PrintSetTitles'*/: break;\n\t\t\t\t\tcase 'mergelabels' /*case 'MergeLabels'*/: break;\n\t\t\t\t\tcase 'defaultversion' /*case 'DefaultVersion'*/: break;\n\t\t\t\t\tcase 'refreshname' /*case 'RefreshName'*/: break;\n\t\t\t\t\tcase 'refreshdate' /*case 'RefreshDate'*/: break;\n\t\t\t\t\tcase 'refreshdatecopy' /*case 'RefreshDateCopy'*/: break;\n\t\t\t\t\tcase 'versionlastrefresh' /*case 'VersionLastRefresh'*/: break;\n\t\t\t\t\tcase 'versionlastupdate' /*case 'VersionLastUpdate'*/: break;\n\t\t\t\t\tcase 'versionupdateablemin' /*case 'VersionUpdateableMin'*/: break;\n\t\t\t\t\tcase 'versionrefreshablemin' /*case 'VersionRefreshableMin'*/: break;\n\t\t\t\t\tcase 'calculation' /*case 'Calculation'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* PageBreaks */\n\t\t\t\tcase 'pagebreaks' /*case 'PageBreaks'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'colbreaks' /*case 'ColBreaks'*/: break;\n\t\t\t\t\tcase 'colbreak' /*case 'ColBreak'*/: break;\n\t\t\t\t\tcase 'rowbreaks' /*case 'RowBreaks'*/: break;\n\t\t\t\t\tcase 'rowbreak' /*case 'RowBreak'*/: break;\n\t\t\t\t\tcase 'colstart' /*case 'ColStart'*/: break;\n\t\t\t\t\tcase 'colend' /*case 'ColEnd'*/: break;\n\t\t\t\t\tcase 'rowend' /*case 'RowEnd'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* AutoFilter */\n\t\t\t\tcase 'autofilter' /*case 'AutoFilter'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'autofiltercolumn' /*case 'AutoFilterColumn'*/: break;\n\t\t\t\t\tcase 'autofiltercondition' /*case 'AutoFilterCondition'*/: break;\n\t\t\t\t\tcase 'autofilterand' /*case 'AutoFilterAnd'*/: break;\n\t\t\t\t\tcase 'autofilteror' /*case 'AutoFilterOr'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* QueryTable */\n\t\t\t\tcase 'querytable' /*case 'QueryTable'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'id' /*case 'Id'*/: break;\n\t\t\t\t\tcase 'autoformatfont' /*case 'AutoFormatFont'*/: break;\n\t\t\t\t\tcase 'autoformatpattern' /*case 'AutoFormatPattern'*/: break;\n\t\t\t\t\tcase 'querysource' /*case 'QuerySource'*/: break;\n\t\t\t\t\tcase 'querytype' /*case 'QueryType'*/: break;\n\t\t\t\t\tcase 'enableredirections' /*case 'EnableRedirections'*/: break;\n\t\t\t\t\tcase 'refreshedinxl9' /*case 'RefreshedInXl9'*/: break;\n\t\t\t\t\tcase 'urlstring' /*case 'URLString'*/: break;\n\t\t\t\t\tcase 'htmltables' /*case 'HTMLTables'*/: break;\n\t\t\t\t\tcase 'connection' /*case 'Connection'*/: break;\n\t\t\t\t\tcase 'commandtext' /*case 'CommandText'*/: break;\n\t\t\t\t\tcase 'refreshinfo' /*case 'RefreshInfo'*/: break;\n\t\t\t\t\tcase 'notitles' /*case 'NoTitles'*/: break;\n\t\t\t\t\tcase 'nextid' /*case 'NextId'*/: break;\n\t\t\t\t\tcase 'columninfo' /*case 'ColumnInfo'*/: break;\n\t\t\t\t\tcase 'overwritecells' /*case 'OverwriteCells'*/: break;\n\t\t\t\t\tcase 'donotpromptforfile' /*case 'DoNotPromptForFile'*/: break;\n\t\t\t\t\tcase 'textwizardsettings' /*case 'TextWizardSettings'*/: break;\n\t\t\t\t\tcase 'source' /*case 'Source'*/: break;\n\t\t\t\t\tcase 'number' /*case 'Number'*/: break;\n\t\t\t\t\tcase 'decimal' /*case 'Decimal'*/: break;\n\t\t\t\t\tcase 'thousandseparator' /*case 'ThousandSeparator'*/: break;\n\t\t\t\t\tcase 'trailingminusnumbers' /*case 'TrailingMinusNumbers'*/: break;\n\t\t\t\t\tcase 'formatsettings' /*case 'FormatSettings'*/: break;\n\t\t\t\t\tcase 'fieldtype' /*case 'FieldType'*/: break;\n\t\t\t\t\tcase 'delimiters' /*case 'Delimiters'*/: break;\n\t\t\t\t\tcase 'tab' /*case 'Tab'*/: break;\n\t\t\t\t\tcase 'comma' /*case 'Comma'*/: break;\n\t\t\t\t\tcase 'autoformatname' /*case 'AutoFormatName'*/: break;\n\t\t\t\t\tcase 'versionlastedit' /*case 'VersionLastEdit'*/: break;\n\t\t\t\t\tcase 'versionlastrefresh' /*case 'VersionLastRefresh'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\tcase 'datavalidation' /*case 'DataValidation'*/:\n\t\t\t\tswitch(Rn[3]) {\n\t\t\t\t\tcase 'range' /*case 'Range'*/: break;\n\n\t\t\t\t\tcase 'type' /*case 'Type'*/: break;\n\t\t\t\t\tcase 'min' /*case 'Min'*/: break;\n\t\t\t\t\tcase 'max' /*case 'Max'*/: break;\n\t\t\t\t\tcase 'sort' /*case 'Sort'*/: break;\n\t\t\t\t\tcase 'descending' /*case 'Descending'*/: break;\n\t\t\t\t\tcase 'order' /*case 'Order'*/: break;\n\t\t\t\t\tcase 'casesensitive' /*case 'CaseSensitive'*/: break;\n\t\t\t\t\tcase 'value' /*case 'Value'*/: break;\n\t\t\t\t\tcase 'errorstyle' /*case 'ErrorStyle'*/: break;\n\t\t\t\t\tcase 'errormessage' /*case 'ErrorMessage'*/: break;\n\t\t\t\t\tcase 'errortitle' /*case 'ErrorTitle'*/: break;\n\t\t\t\t\tcase 'inputmessage' /*case 'InputMessage'*/: break;\n\t\t\t\t\tcase 'inputtitle' /*case 'InputTitle'*/: break;\n\t\t\t\t\tcase 'combohide' /*case 'ComboHide'*/: break;\n\t\t\t\t\tcase 'inputhide' /*case 'InputHide'*/: break;\n\t\t\t\t\tcase 'condition' /*case 'Condition'*/: break;\n\t\t\t\t\tcase 'qualifier' /*case 'Qualifier'*/: break;\n\t\t\t\t\tcase 'useblank' /*case 'UseBlank'*/: break;\n\t\t\t\t\tcase 'value1' /*case 'Value1'*/: break;\n\t\t\t\t\tcase 'value2' /*case 'Value2'*/: break;\n\t\t\t\t\tcase 'format' /*case 'Format'*/: break;\n\n\t\t\t\t\tcase 'cellrangelist' /*case 'CellRangeList'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\tcase 'sorting' /*case 'Sorting'*/:\n\t\t\t\tcase 'conditionalformatting' /*case 'ConditionalFormatting'*/:\n\t\t\t\tswitch(Rn[3]) {\n\t\t\t\t\tcase 'range' /*case 'Range'*/: break;\n\t\t\t\t\tcase 'type' /*case 'Type'*/: break;\n\t\t\t\t\tcase 'min' /*case 'Min'*/: break;\n\t\t\t\t\tcase 'max' /*case 'Max'*/: break;\n\t\t\t\t\tcase 'sort' /*case 'Sort'*/: break;\n\t\t\t\t\tcase 'descending' /*case 'Descending'*/: break;\n\t\t\t\t\tcase 'order' /*case 'Order'*/: break;\n\t\t\t\t\tcase 'casesensitive' /*case 'CaseSensitive'*/: break;\n\t\t\t\t\tcase 'value' /*case 'Value'*/: break;\n\t\t\t\t\tcase 'errorstyle' /*case 'ErrorStyle'*/: break;\n\t\t\t\t\tcase 'errormessage' /*case 'ErrorMessage'*/: break;\n\t\t\t\t\tcase 'errortitle' /*case 'ErrorTitle'*/: break;\n\t\t\t\t\tcase 'cellrangelist' /*case 'CellRangeList'*/: break;\n\t\t\t\t\tcase 'inputmessage' /*case 'InputMessage'*/: break;\n\t\t\t\t\tcase 'inputtitle' /*case 'InputTitle'*/: break;\n\t\t\t\t\tcase 'combohide' /*case 'ComboHide'*/: break;\n\t\t\t\t\tcase 'inputhide' /*case 'InputHide'*/: break;\n\t\t\t\t\tcase 'condition' /*case 'Condition'*/: break;\n\t\t\t\t\tcase 'qualifier' /*case 'Qualifier'*/: break;\n\t\t\t\t\tcase 'useblank' /*case 'UseBlank'*/: break;\n\t\t\t\t\tcase 'value1' /*case 'Value1'*/: break;\n\t\t\t\t\tcase 'value2' /*case 'Value2'*/: break;\n\t\t\t\t\tcase 'format' /*case 'Format'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* MapInfo (schema) */\n\t\t\t\tcase 'mapinfo' /*case 'MapInfo'*/: case 'schema' /*case 'Schema'*/: case 'data' /*case 'data'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'map' /*case 'Map'*/: break;\n\t\t\t\t\tcase 'entry' /*case 'Entry'*/: break;\n\t\t\t\t\tcase 'range' /*case 'Range'*/: break;\n\t\t\t\t\tcase 'xpath' /*case 'XPath'*/: break;\n\t\t\t\t\tcase 'field' /*case 'Field'*/: break;\n\t\t\t\t\tcase 'xsdtype' /*case 'XSDType'*/: break;\n\t\t\t\t\tcase 'filteron' /*case 'FilterOn'*/: break;\n\t\t\t\t\tcase 'aggregate' /*case 'Aggregate'*/: break;\n\t\t\t\t\tcase 'elementtype' /*case 'ElementType'*/: break;\n\t\t\t\t\tcase 'attributetype' /*case 'AttributeType'*/: break;\n\t\t\t\t/* These are from xsd (XML Schema Definition) */\n\t\t\t\t\tcase 'schema' /*case 'schema'*/:\n\t\t\t\t\tcase 'element' /*case 'element'*/:\n\t\t\t\t\tcase 'complextype' /*case 'complexType'*/:\n\t\t\t\t\tcase 'datatype' /*case 'datatype'*/:\n\t\t\t\t\tcase 'all' /*case 'all'*/:\n\t\t\t\t\tcase 'attribute' /*case 'attribute'*/:\n\t\t\t\t\tcase 'extends' /*case 'extends'*/: break;\n\n\t\t\t\t\tcase 'row' /*case 'row'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* SmartTags (can be anything) */\n\t\t\t\tcase 'smarttags' /*case 'SmartTags'*/: break;\n\n\t\t\t\tdefault: seen = false; break;\n\t\t\t}\n\t\t\tif(seen) break;\n\t\t\t/* CustomDocumentProperties */\n\t\t\tif(Rn[3].match(/!\\[CDATA/)) break;\n\t\t\tif(!state[state.length-1][1]) throw 'Unrecognized tag: ' + Rn[3] + \"|\" + state.join(\"|\");\n\t\t\tif(state[state.length-1][0]===/*'CustomDocumentProperties'*/'customdocumentproperties') {\n\t\t\t\tif(Rn[0].slice(-2) === \"/>\") break;\n\t\t\t\telse if(Rn[1]===\"/\") xlml_set_custprop(Custprops, raw_Rn3, cp, str.slice(pidx, Rn.index));\n\t\t\t\telse { cp = Rn; pidx = Rn.index + Rn[0].length; }\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tif(opts.WTF) throw 'Unrecognized tag: ' + Rn[3] + \"|\" + state.join(\"|\");\n\t}\n\tvar out = ({});\n\tif(!opts.bookSheets && !opts.bookProps) out.Sheets = sheets;\n\tout.SheetNames = sheetnames;\n\tout.Workbook = Workbook;\n\tout.SSF = SSF.get_table();\n\tout.Props = Props;\n\tout.Custprops = Custprops;\n\treturn out;\n}\n\nfunction parse_xlml(data, opts) {\n\tfix_read_opts(opts=opts||{});\n\tswitch(opts.type||\"base64\") {\n\t\tcase \"base64\": return parse_xlml_xml(Base64.decode(data), opts);\n\t\tcase \"binary\": case \"buffer\": case \"file\": return parse_xlml_xml(data, opts);\n\t\tcase \"array\": return parse_xlml_xml(a2s(data), opts);\n\t}\n}\n\n/* TODO */\nfunction write_props_xlml(wb, opts) {\n\tvar o = [];\n\t/* DocumentProperties */\n\tif(wb.Props) o.push(xlml_write_docprops(wb.Props, opts));\n\t/* CustomDocumentProperties */\n\tif(wb.Custprops) o.push(xlml_write_custprops(wb.Props, wb.Custprops, opts));\n\treturn o.join(\"\");\n}\n/* TODO */\nfunction write_wb_xlml() {\n\t/* OfficeDocumentSettings */\n\t/* ExcelWorkbook */\n\treturn \"\";\n}\n/* TODO */\nfunction write_sty_xlml(wb, opts) {\n\t/* Styles */\n\tvar styles = [''];\n\topts.cellXfs.forEach(function(xf, id) {\n\t\tvar payload = [];\n\t\tpayload.push(writextag('NumberFormat', null, {\"ss:Format\": escapexml(SSF._table[xf.numFmtId])}));\n\n\t\tvar o = {\"ss:ID\": \"s\" + (21+id)};\n\t\tstyles.push(writextag('Style', payload.join(\"\"), o));\n\t});\n\treturn writextag(\"Styles\", styles.join(\"\"));\n}\nfunction write_name_xlml(n) { return writextag(\"NamedRange\", null, {\"ss:Name\": n.Name, \"ss:RefersTo\":\"=\" + a1_to_rc(n.Ref, {r:0,c:0})}); }\nfunction write_names_xlml(wb) {\n\tif(!((wb||{}).Workbook||{}).Names) return \"\";\nvar names = wb.Workbook.Names;\n\tvar out = [];\n\tfor(var i = 0; i < names.length; ++i) {\n\t\tvar n = names[i];\n\t\tif(n.Sheet != null) continue;\n\t\tif(n.Name.match(/^_xlfn\\./)) continue;\n\t\tout.push(write_name_xlml(n));\n\t}\n\treturn writextag(\"Names\", out.join(\"\"));\n}\nfunction write_ws_xlml_names(ws, opts, idx, wb) {\n\tif(!ws) return \"\";\n\tif(!((wb||{}).Workbook||{}).Names) return \"\";\nvar names = wb.Workbook.Names;\n\tvar out = [];\n\tfor(var i = 0; i < names.length; ++i) {\n\t\tvar n = names[i];\n\t\tif(n.Sheet != idx) continue;\n\t\t/*switch(n.Name) {\n\t\t\tcase \"_\": continue;\n\t\t}*/\n\t\tif(n.Name.match(/^_xlfn\\./)) continue;\n\t\tout.push(write_name_xlml(n));\n\t}\n\treturn out.join(\"\");\n}\n/* WorksheetOptions */\nfunction write_ws_xlml_wsopts(ws, opts, idx, wb) {\n\tif(!ws) return \"\";\n\tvar o = [];\n\t/* NOTE: spec technically allows any order, but stick with implied order */\n\n\t/* FitToPage */\n\t/* DoNotDisplayColHeaders */\n\t/* DoNotDisplayRowHeaders */\n\t/* ViewableRange */\n\t/* Selection */\n\t/* GridlineColor */\n\t/* Name */\n\t/* ExcelWorksheetType */\n\t/* IntlMacro */\n\t/* Unsynced */\n\t/* Selected */\n\t/* CodeName */\n\n\tif(ws['!margins']) {\n\t\to.push(\"\");\n\t\tif(ws['!margins'].header) o.push(writextag(\"Header\", null, {'x:Margin':ws['!margins'].header}));\n\t\tif(ws['!margins'].footer) o.push(writextag(\"Footer\", null, {'x:Margin':ws['!margins'].footer}));\n\t\to.push(writextag(\"PageMargins\", null, {\n\t\t\t'x:Bottom': ws['!margins'].bottom || \"0.75\",\n\t\t\t'x:Left': ws['!margins'].left || \"0.7\",\n\t\t\t'x:Right': ws['!margins'].right || \"0.7\",\n\t\t\t'x:Top': ws['!margins'].top || \"0.75\"\n\t\t}));\n\t\to.push(\"\");\n\t}\n\n\t/* PageSetup */\n\t/* DisplayPageBreak */\n\t/* TransitionExpressionEvaluation */\n\t/* TransitionFormulaEntry */\n\t/* Print */\n\t/* Zoom */\n\t/* PageLayoutZoom */\n\t/* PageBreakZoom */\n\t/* ShowPageBreakZoom */\n\t/* DefaultRowHeight */\n\t/* DefaultColumnWidth */\n\t/* StandardWidth */\n\n\tif(wb && wb.Workbook && wb.Workbook.Sheets && wb.Workbook.Sheets[idx]) {\n\t\t/* Visible */\n\t\tif(wb.Workbook.Sheets[idx].Hidden) o.push(writextag(\"Visible\", (wb.Workbook.Sheets[idx].Hidden == 1 ? \"SheetHidden\" : \"SheetVeryHidden\"), {}));\n\t\telse {\n\t\t\t/* Selected */\n\t\t\tfor(var i = 0; i < idx; ++i) if(wb.Workbook.Sheets[i] && !wb.Workbook.Sheets[i].Hidden) break;\n\t\t\tif(i == idx) o.push(\"\");\n\t\t}\n\t}\n\n\t/* LeftColumnVisible */\n\n\tif(((((wb||{}).Workbook||{}).Views||[])[0]||{}).RTL) o.push(\"\");\n\n\t/* GridlineColorIndex */\n\t/* DisplayFormulas */\n\t/* DoNotDisplayGridlines */\n\t/* DoNotDisplayHeadings */\n\t/* DoNotDisplayOutline */\n\t/* ApplyAutomaticOutlineStyles */\n\t/* NoSummaryRowsBelowDetail */\n\t/* NoSummaryColumnsRightDetail */\n\t/* DoNotDisplayZeros */\n\t/* ActiveRow */\n\t/* ActiveColumn */\n\t/* FilterOn */\n\t/* RangeSelection */\n\t/* TopRowVisible */\n\t/* TopRowBottomPane */\n\t/* LeftColumnRightPane */\n\t/* ActivePane */\n\t/* SplitHorizontal */\n\t/* SplitVertical */\n\t/* FreezePanes */\n\t/* FrozenNoSplit */\n\t/* TabColorIndex */\n\t/* Panes */\n\n\t/* NOTE: Password not supported in XLML Format */\n\tif(ws['!protect']) {\n\t\to.push(writetag(\"ProtectContents\", \"True\"));\n\t\tif(ws['!protect'].objects) o.push(writetag(\"ProtectObjects\", \"True\"));\n\t\tif(ws['!protect'].scenarios) o.push(writetag(\"ProtectScenarios\", \"True\"));\n\t\tif(ws['!protect'].selectLockedCells != null && !ws['!protect'].selectLockedCells) o.push(writetag(\"EnableSelection\", \"NoSelection\"));\n\t\telse if(ws['!protect'].selectUnlockedCells != null && !ws['!protect'].selectUnlockedCells) o.push(writetag(\"EnableSelection\", \"UnlockedCells\"));\n\t[\n\t\t[ \"formatCells\", \"AllowFormatCells\" ],\n\t\t[ \"formatColumns\", \"AllowSizeCols\" ],\n\t\t[ \"formatRows\", \"AllowSizeRows\" ],\n\t\t[ \"insertColumns\", \"AllowInsertCols\" ],\n\t\t[ \"insertRows\", \"AllowInsertRows\" ],\n\t\t[ \"insertHyperlinks\", \"AllowInsertHyperlinks\" ],\n\t\t[ \"deleteColumns\", \"AllowDeleteCols\" ],\n\t\t[ \"deleteRows\", \"AllowDeleteRows\" ],\n\t\t[ \"sort\", \"AllowSort\" ],\n\t\t[ \"autoFilter\", \"AllowFilter\" ],\n\t\t[ \"pivotTables\", \"AllowUsePivotTables\" ]\n\t].forEach(function(x) { if(ws['!protect'][x[0]]) o.push(\"<\"+x[1]+\"/>\"); });\n\t}\n\n\tif(o.length == 0) return \"\";\n\treturn writextag(\"WorksheetOptions\", o.join(\"\"), {xmlns:XLMLNS.x});\n}\nfunction write_ws_xlml_comment(comments) {\n\treturn comments.map(function(c) {\n\t\t// TODO: formatted text\n\t\tvar t = xlml_unfixstr(c.t||\"\");\n\t\tvar d =writextag(\"ss:Data\", t, {\"xmlns\":\"http://www.w3.org/TR/REC-html40\"});\n\t\treturn writextag(\"Comment\", d, {\"ss:Author\":c.a});\n\t}).join(\"\");\n}\nfunction write_ws_xlml_cell(cell, ref, ws, opts, idx, wb, addr){\n\tif(!cell || (cell.v == undefined && cell.f == undefined)) return \"\";\n\n\tvar attr = {};\n\tif(cell.f) attr[\"ss:Formula\"] = \"=\" + escapexml(a1_to_rc(cell.f, addr));\n\tif(cell.F && cell.F.slice(0, ref.length) == ref) {\n\t\tvar end = decode_cell(cell.F.slice(ref.length + 1));\n\t\tattr[\"ss:ArrayRange\"] = \"RC:R\" + (end.r == addr.r ? \"\" : \"[\" + (end.r - addr.r) + \"]\") + \"C\" + (end.c == addr.c ? \"\" : \"[\" + (end.c - addr.c) + \"]\");\n\t}\n\n\tif(cell.l && cell.l.Target) {\n\t\tattr[\"ss:HRef\"] = escapexml(cell.l.Target);\n\t\tif(cell.l.Tooltip) attr[\"x:HRefScreenTip\"] = escapexml(cell.l.Tooltip);\n\t}\n\n\tif(ws['!merges']) {\n\t\tvar marr = ws['!merges'];\n\t\tfor(var mi = 0; mi != marr.length; ++mi) {\n\t\t\tif(marr[mi].s.c != addr.c || marr[mi].s.r != addr.r) continue;\n\t\t\tif(marr[mi].e.c > marr[mi].s.c) attr['ss:MergeAcross'] = marr[mi].e.c - marr[mi].s.c;\n\t\t\tif(marr[mi].e.r > marr[mi].s.r) attr['ss:MergeDown'] = marr[mi].e.r - marr[mi].s.r;\n\t\t}\n\t}\n\n\tvar t = \"\", p = \"\";\n\tswitch(cell.t) {\n\t\tcase 'z': if(!opts.sheetStubs) return \"\"; break;\n\t\tcase 'n': t = 'Number'; p = String(cell.v); break;\n\t\tcase 'b': t = 'Boolean'; p = (cell.v ? \"1\" : \"0\"); break;\n\t\tcase 'e': t = 'Error'; p = BErr[cell.v]; break;\n\t\tcase 'd': t = 'DateTime'; p = new Date(cell.v).toISOString(); if(cell.z == null) cell.z = cell.z || SSF._table[14]; break;\n\t\tcase 's': t = 'String'; p = escapexlml(cell.v||\"\"); break;\n\t}\n\t/* TODO: cell style */\n\tvar os = get_cell_style(opts.cellXfs, cell, opts);\n\tattr[\"ss:StyleID\"] = \"s\" + (21+os);\n\tattr[\"ss:Index\"] = addr.c + 1;\n\tvar _v = (cell.v != null ? p : \"\");\n\tvar m = cell.t == 'z' ? \"\" : ('' + _v + '');\n\n\tif((cell.c||[]).length > 0) m += write_ws_xlml_comment(cell.c);\n\n\treturn writextag(\"Cell\", m, attr);\n}\nfunction write_ws_xlml_row(R, row) {\n\tvar o = '';\n}\n/* TODO */\nfunction write_ws_xlml_table(ws, opts, idx, wb) {\n\tif(!ws['!ref']) return \"\";\n\tvar range = safe_decode_range(ws['!ref']);\n\tvar marr = ws['!merges'] || [], mi = 0;\n\tvar o = [];\n\tif(ws['!cols']) ws['!cols'].forEach(function(n, i) {\n\t\tprocess_col(n);\n\t\tvar w = !!n.width;\n\t\tvar p = col_obj_w(i, n);\n\t\tvar k = {\"ss:Index\":i+1};\n\t\tif(w) k['ss:Width'] = width2px(p.width);\n\t\tif(n.hidden) k['ss:Hidden']=\"1\";\n\t\to.push(writextag(\"Column\",null,k));\n\t});\n\tvar dense = Array.isArray(ws);\n\tfor(var R = range.s.r; R <= range.e.r; ++R) {\n\t\tvar row = [write_ws_xlml_row(R, (ws['!rows']||[])[R])];\n\t\tfor(var C = range.s.c; C <= range.e.c; ++C) {\n\t\t\tvar skip = false;\n\t\t\tfor(mi = 0; mi != marr.length; ++mi) {\n\t\t\t\tif(marr[mi].s.c > C) continue;\n\t\t\t\tif(marr[mi].s.r > R) continue;\n\t\t\t\tif(marr[mi].e.c < C) continue;\n\t\t\t\tif(marr[mi].e.r < R) continue;\n\t\t\t\tif(marr[mi].s.c != C || marr[mi].s.r != R) skip = true;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tif(skip) continue;\n\t\t\tvar addr = {r:R,c:C};\n\t\t\tvar ref = encode_cell(addr), cell = dense ? (ws[R]||[])[C] : ws[ref];\n\t\t\trow.push(write_ws_xlml_cell(cell, ref, ws, opts, idx, wb, addr));\n\t\t}\n\t\trow.push(\"\");\n\t\tif(row.length > 2) o.push(row.join(\"\"));\n\t}\n\treturn o.join(\"\");\n}\nfunction write_ws_xlml(idx, opts, wb) {\n\tvar o = [];\n\tvar s = wb.SheetNames[idx];\n\tvar ws = wb.Sheets[s];\n\n\tvar t = ws ? write_ws_xlml_names(ws, opts, idx, wb) : \"\";\n\tif(t.length > 0) o.push(\"\" + t + \"\");\n\n\t/* Table */\n\tt = ws ? write_ws_xlml_table(ws, opts, idx, wb) : \"\";\n\tif(t.length > 0) o.push(\"\" + t + \"
\");\n\n\t/* WorksheetOptions */\n\to.push(write_ws_xlml_wsopts(ws, opts, idx, wb));\n\n\treturn o.join(\"\");\n}\nfunction write_xlml(wb, opts) {\n\tif(!opts) opts = {};\n\tif(!wb.SSF) wb.SSF = SSF.get_table();\n\tif(wb.SSF) {\n\t\tmake_ssf(SSF); SSF.load_table(wb.SSF);\n\t\t// $FlowIgnore\n\t\topts.revssf = evert_num(wb.SSF); opts.revssf[wb.SSF[65535]] = 0;\n\t\topts.ssf = wb.SSF;\n\t\topts.cellXfs = [];\n\t\tget_cell_style(opts.cellXfs, {}, {revssf:{\"General\":0}});\n\t}\n\tvar d = [];\n\td.push(write_props_xlml(wb, opts));\n\td.push(write_wb_xlml(wb, opts));\n\td.push(\"\");\n\td.push(\"\");\n\tfor(var i = 0; i < wb.SheetNames.length; ++i)\n\t\td.push(writextag(\"Worksheet\", write_ws_xlml(i, opts, wb), {\"ss:Name\":escapexml(wb.SheetNames[i])}));\n\td[2] = write_sty_xlml(wb, opts);\n\td[3] = write_names_xlml(wb, opts);\n\treturn XML_HEADER + writextag(\"Workbook\", d.join(\"\"), {\n\t\t'xmlns': XLMLNS.ss,\n\t\t'xmlns:o': XLMLNS.o,\n\t\t'xmlns:x': XLMLNS.x,\n\t\t'xmlns:ss': XLMLNS.ss,\n\t\t'xmlns:dt': XLMLNS.dt,\n\t\t'xmlns:html': XLMLNS.html\n\t});\n}\n/* [MS-OLEDS] 2.3.8 CompObjStream */\nfunction parse_compobj(obj) {\n\tvar v = {};\n\tvar o = obj.content;\n/* [MS-OLEDS] 2.3.7 CompObjHeader -- All fields MUST be ignored */\n\to.l = 28;\n\n\tv.AnsiUserType = o.read_shift(0, \"lpstr-ansi\");\n\tv.AnsiClipboardFormat = parse_ClipboardFormatOrAnsiString(o);\n\n\tif(o.length - o.l <= 4) return v;\n\n\tvar m = o.read_shift(4);\n\tif(m == 0 || m > 40) return v;\n\to.l-=4; v.Reserved1 = o.read_shift(0, \"lpstr-ansi\");\n\n\tif(o.length - o.l <= 4) return v;\n\tm = o.read_shift(4);\n\tif(m !== 0x71b239f4) return v;\n\tv.UnicodeClipboardFormat = parse_ClipboardFormatOrUnicodeString(o);\n\n\tm = o.read_shift(4);\n\tif(m == 0 || m > 40) return v;\n\to.l-=4; v.Reserved2 = o.read_shift(0, \"lpwstr\");\n}\n\n/*\n\tContinue logic for:\n\t- 2.4.58 Continue\n\t- 2.4.59 ContinueBigName\n\t- 2.4.60 ContinueFrt\n\t- 2.4.61 ContinueFrt11\n\t- 2.4.62 ContinueFrt12\n*/\nfunction slurp(R, blob, length, opts) {\n\tvar l = length;\n\tvar bufs = [];\n\tvar d = blob.slice(blob.l,blob.l+l);\n\tif(opts && opts.enc && opts.enc.insitu) switch(R.n) {\n\tcase 'BOF': case 'FilePass': case 'FileLock': case 'InterfaceHdr': case 'RRDInfo': case 'RRDHead': case 'UsrExcl': break;\n\tdefault:\n\t\tif(d.length === 0) break;\n\t\topts.enc.insitu(d);\n\t}\n\tbufs.push(d);\n\tblob.l += l;\n\tvar next = (XLSRecordEnum[__readUInt16LE(blob,blob.l)]);\n\tvar start = 0;\n\twhile(next != null && next.n.slice(0,8) === 'Continue') {\n\t\tl = __readUInt16LE(blob,blob.l+2);\n\t\tstart = blob.l + 4;\n\t\tif(next.n == 'ContinueFrt') start += 4;\n\t\telse if(next.n.slice(0,11) == 'ContinueFrt') start += 12;\n\t\tbufs.push(blob.slice(start,blob.l+4+l));\n\t\tblob.l += 4+l;\n\t\tnext = (XLSRecordEnum[__readUInt16LE(blob, blob.l)]);\n\t}\n\tvar b = (bconcat(bufs));\n\tprep_blob(b, 0);\n\tvar ll = 0; b.lens = [];\n\tfor(var j = 0; j < bufs.length; ++j) { b.lens.push(ll); ll += bufs[j].length; }\n\treturn R.f(b, b.length, opts);\n}\n\nfunction safe_format_xf(p, opts, date1904) {\n\tif(p.t === 'z') return;\n\tif(!p.XF) return;\n\tvar fmtid = 0;\n\ttry {\n\t\tfmtid = p.z || p.XF.numFmtId || 0;\n\t\tif(opts.cellNF) p.z = SSF._table[fmtid];\n\t} catch(e) { if(opts.WTF) throw e; }\n\tif(!opts || opts.cellText !== false) try {\n\t\tif(p.t === 'e') { p.w = p.w || BErr[p.v]; }\n\t\telse if(fmtid === 0 || fmtid == \"General\") {\n\t\t\tif(p.t === 'n') {\n\t\t\t\tif((p.v|0) === p.v) p.w = SSF._general_int(p.v);\n\t\t\t\telse p.w = SSF._general_num(p.v);\n\t\t\t}\n\t\t\telse p.w = SSF._general(p.v);\n\t\t}\n\t\telse p.w = SSF.format(fmtid,p.v, {date1904:!!date1904});\n\t} catch(e) { if(opts.WTF) throw e; }\n\tif(opts.cellDates && fmtid && p.t == 'n' && SSF.is_date(SSF._table[fmtid] || String(fmtid))) {\n\t\tvar _d = SSF.parse_date_code(p.v); if(_d) { p.t = 'd'; p.v = new Date(_d.y, _d.m-1,_d.d,_d.H,_d.M,_d.S,_d.u); }\n\t}\n}\n\nfunction make_cell(val, ixfe, t) {\n\treturn ({v:val, ixfe:ixfe, t:t});\n}\n\n// 2.3.2\nfunction parse_workbook(blob, options) {\n\tvar wb = ({opts:{}});\n\tvar Sheets = {};\n\tif(DENSE != null && options.dense == null) options.dense = DENSE;\n\tvar out = ((options.dense ? [] : {}));\n\tvar Directory = {};\n\tvar range = ({});\n\tvar last_formula = null;\n\tvar sst = ([]);\n\tvar cur_sheet = \"\";\n\tvar Preamble = {};\n\tvar lastcell, last_cell = \"\", cc, cmnt, rngC, rngR;\n\tvar sharedf = {};\n\tvar arrayf = [];\n\tvar temp_val;\n\tvar country;\n\tvar cell_valid = true;\n\tvar XFs = []; /* XF records */\n\tvar palette = [];\n\tvar Workbook = ({ Sheets:[], WBProps:{date1904:false}, Views:[{}] }), wsprops = {};\n\tvar get_rgb = function getrgb(icv) {\n\t\tif(icv < 8) return XLSIcv[icv];\n\t\tif(icv < 64) return palette[icv-8] || XLSIcv[icv];\n\t\treturn XLSIcv[icv];\n\t};\n\tvar process_cell_style = function pcs(cell, line, options) {\n\t\tvar xfd = line.XF.data;\n\t\tif(!xfd || !xfd.patternType || !options || !options.cellStyles) return;\n\t\tline.s = ({});\n\t\tline.s.patternType = xfd.patternType;\n\t\tvar t;\n\t\tif((t = rgb2Hex(get_rgb(xfd.icvFore)))) { line.s.fgColor = {rgb:t}; }\n\t\tif((t = rgb2Hex(get_rgb(xfd.icvBack)))) { line.s.bgColor = {rgb:t}; }\n\t};\n\tvar addcell = function addcell(cell, line, options) {\n\t\tif(file_depth > 1) return;\n\t\tif(options.sheetRows && cell.r >= options.sheetRows) cell_valid = false;\n\t\tif(!cell_valid) return;\n\t\tif(options.cellStyles && line.XF && line.XF.data) process_cell_style(cell, line, options);\n\t\tdelete line.ixfe; delete line.XF;\n\t\tlastcell = cell;\n\t\tlast_cell = encode_cell(cell);\n\t\tif(!range || !range.s || !range.e) range = {s:{r:0,c:0},e:{r:0,c:0}};\n\t\tif(cell.r < range.s.r) range.s.r = cell.r;\n\t\tif(cell.c < range.s.c) range.s.c = cell.c;\n\t\tif(cell.r + 1 > range.e.r) range.e.r = cell.r + 1;\n\t\tif(cell.c + 1 > range.e.c) range.e.c = cell.c + 1;\n\t\tif(options.cellFormula && line.f) {\n\t\t\tfor(var afi = 0; afi < arrayf.length; ++afi) {\n\t\t\t\tif(arrayf[afi][0].s.c > cell.c || arrayf[afi][0].s.r > cell.r) continue;\n\t\t\t\tif(arrayf[afi][0].e.c < cell.c || arrayf[afi][0].e.r < cell.r) continue;\n\t\t\t\tline.F = encode_range(arrayf[afi][0]);\n\t\t\t\tif(arrayf[afi][0].s.c != cell.c || arrayf[afi][0].s.r != cell.r) delete line.f;\n\t\t\t\tif(line.f) line.f = \"\" + stringify_formula(arrayf[afi][1], range, cell, supbooks, opts);\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\t{\n\t\t\tif(options.dense) {\n\t\t\t\tif(!out[cell.r]) out[cell.r] = [];\n\t\t\t\tout[cell.r][cell.c] = line;\n\t\t\t} else out[last_cell] = line;\n\t\t}\n\t};\n\tvar opts = ({\n\t\tenc: false, // encrypted\n\t\tsbcch: 0, // cch in the preceding SupBook\n\t\tsnames: [], // sheetnames\n\t\tsharedf: sharedf, // shared formulae by address\n\t\tarrayf: arrayf, // array formulae array\n\t\trrtabid: [], // RRTabId\n\t\tlastuser: \"\", // Last User from WriteAccess\n\t\tbiff: 8, // BIFF version\n\t\tcodepage: 0, // CP from CodePage record\n\t\twinlocked: 0, // fLockWn from WinProtect\n\t\tcellStyles: !!options && !!options.cellStyles,\n\t\tWTF: !!options && !!options.wtf\n\t});\n\tif(options.password) opts.password = options.password;\n\tvar themes;\n\tvar merges = [];\n\tvar objects = [];\n\tvar colinfo = [], rowinfo = [];\n\t// eslint-disable-next-line no-unused-vars\n\tvar defwidth = 0, defheight = 0; // twips / MDW respectively\n\tvar seencol = false;\n\tvar supbooks = ([]); // 1-indexed, will hold extern names\n\tsupbooks.SheetNames = opts.snames;\n\tsupbooks.sharedf = opts.sharedf;\n\tsupbooks.arrayf = opts.arrayf;\n\tsupbooks.names = [];\n\tsupbooks.XTI = [];\n\tvar last_Rn = '';\n\tvar file_depth = 0; /* TODO: make a real stack */\n\tvar BIFF2Fmt = 0, BIFF2FmtTable = [];\n\tvar FilterDatabases = []; /* TODO: sort out supbooks and process elsewhere */\n\tvar last_lbl;\n\n\t/* explicit override for some broken writers */\n\topts.codepage = 1200;\n\tset_cp(1200);\n\tvar seen_codepage = false;\n\twhile(blob.l < blob.length - 1) {\n\t\tvar s = blob.l;\n\t\tvar RecordType = blob.read_shift(2);\n\t\tif(RecordType === 0 && last_Rn === 'EOF') break;\n\t\tvar length = (blob.l === blob.length ? 0 : blob.read_shift(2));\n\t\tvar R = XLSRecordEnum[RecordType];\n\t\t//console.log(RecordType.toString(16), RecordType, R, blob.l, length, blob.length);\n\t\t//if(!R) console.log(blob.slice(blob.l, blob.l + length));\n\t\tif(R && R.f) {\n\t\t\tif(options.bookSheets) {\n\t\t\t\tif(last_Rn === 'BoundSheet8' && R.n !== 'BoundSheet8') break;\n\t\t\t}\n\t\t\tlast_Rn = R.n;\n\t\t\tif(R.r === 2 || R.r == 12) {\n\t\t\t\tvar rt = blob.read_shift(2); length -= 2;\n\t\t\t\tif(!opts.enc && rt !== RecordType && (((rt&0xFF)<<8)|(rt>>8)) !== RecordType) throw new Error(\"rt mismatch: \" + rt + \"!=\" + RecordType);\n\t\t\t\tif(R.r == 12){ blob.l += 10; length -= 10; } // skip FRT\n\t\t\t}\n\t\t\t//console.error(R,blob.l,length,blob.length);\n\t\t\tvar val = ({});\n\t\t\tif(R.n === 'EOF') val = R.f(blob, length, opts);\n\t\t\telse val = slurp(R, blob, length, opts);\n\t\t\tvar Rn = R.n;\nif(file_depth == 0 && Rn != 'BOF') continue;\n\t\t\t/* nested switch statements to workaround V8 128 limit */\n\t\t\tswitch(Rn) {\n\t\t\t\t/* Workbook Options */\n\t\t\t\tcase 'Date1904':\nwb.opts.Date1904 = Workbook.WBProps.date1904 = val; break;\n\t\t\t\tcase 'WriteProtect': wb.opts.WriteProtect = true; break;\n\t\t\t\tcase 'FilePass':\n\t\t\t\t\tif(!opts.enc) blob.l = 0;\n\t\t\t\t\topts.enc = val;\n\t\t\t\t\tif(!options.password) throw new Error(\"File is password-protected\");\n\t\t\t\t\tif(val.valid == null) throw new Error(\"Encryption scheme unsupported\");\n\t\t\t\t\tif(!val.valid) throw new Error(\"Password is incorrect\");\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'WriteAccess': opts.lastuser = val; break;\n\t\t\t\tcase 'FileSharing': break; //TODO\n\t\t\t\tcase 'CodePage':\n\t\t\t\t\tvar cpval = Number(val);\n\t\t\t\t\t/* overrides based on test cases */\n\t\t\t\t\tswitch(cpval) {\n\t\t\t\t\t\tcase 0x5212: cpval = 1200; break;\n\t\t\t\t\t\tcase 0x8000: cpval = 10000; break;\n\t\t\t\t\t\tcase 0x8001: cpval = 1252; break;\n\t\t\t\t\t}\n\t\t\t\t\tset_cp(opts.codepage = cpval);\n\t\t\t\t\tseen_codepage = true;\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'RRTabId': opts.rrtabid = val; break;\n\t\t\t\tcase 'WinProtect': opts.winlocked = val; break;\n\t\t\t\tcase 'Template': break; // TODO\n\t\t\t\tcase 'BookBool': break; // TODO\n\t\t\t\tcase 'UsesELFs': break;\n\t\t\t\tcase 'MTRSettings': break;\n\t\t\t\tcase 'RefreshAll':\n\t\t\t\tcase 'CalcCount':\n\t\t\t\tcase 'CalcDelta':\n\t\t\t\tcase 'CalcIter':\n\t\t\t\tcase 'CalcMode':\n\t\t\t\tcase 'CalcPrecision':\n\t\t\t\tcase 'CalcSaveRecalc':\n\t\t\t\t\twb.opts[Rn] = val; break;\n\t\t\t\tcase 'CalcRefMode': opts.CalcRefMode = val; break; // TODO: implement R1C1\n\t\t\t\tcase 'Uncalced': break;\n\t\t\t\tcase 'ForceFullCalculation': wb.opts.FullCalc = val; break;\n\t\t\t\tcase 'WsBool':\n\t\t\t\t\tif(val.fDialog) out[\"!type\"] = \"dialog\";\n\t\t\t\t\tbreak; // TODO\n\t\t\t\tcase 'XF':\n\t\t\t\t\tXFs.push(val); break;\n\t\t\t\tcase 'ExtSST': break; // TODO\n\t\t\t\tcase 'BookExt': break; // TODO\n\t\t\t\tcase 'RichTextStream': break;\n\t\t\t\tcase 'BkHim': break;\n\n\t\t\t\tcase 'SupBook':\n\t\t\t\t\tsupbooks.push([val]);\n\t\t\t\t\tsupbooks[supbooks.length-1].XTI = [];\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'ExternName':\n\t\t\t\t\tsupbooks[supbooks.length-1].push(val);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'Index': break; // TODO\n\t\t\t\tcase 'Lbl':\n\t\t\t\t\tlast_lbl = ({\n\t\t\t\t\t\tName: val.Name,\n\t\t\t\t\t\tRef: stringify_formula(val.rgce,range,null,supbooks,opts)\n\t\t\t\t\t});\n\t\t\t\t\tif(val.itab > 0) last_lbl.Sheet = val.itab - 1;\n\t\t\t\t\tsupbooks.names.push(last_lbl);\n\t\t\t\t\tif(!supbooks[0]) { supbooks[0] = []; supbooks[0].XTI = []; }\n\t\t\t\t\tsupbooks[supbooks.length-1].push(val);\n\t\t\t\t\tif(val.Name == \"_xlnm._FilterDatabase\" && val.itab > 0)\n\t\t\t\t\t\tif(val.rgce && val.rgce[0] && val.rgce[0][0] && val.rgce[0][0][0] == 'PtgArea3d')\n\t\t\t\t\t\t\tFilterDatabases[val.itab - 1] = { ref: encode_range(val.rgce[0][0][1][2]) };\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'ExternCount': opts.ExternCount = val; break;\n\t\t\t\tcase 'ExternSheet':\n\t\t\t\t\tif(supbooks.length == 0) { supbooks[0] = []; supbooks[0].XTI = []; }\n\t\t\t\t\tsupbooks[supbooks.length - 1].XTI = supbooks[supbooks.length - 1].XTI.concat(val); supbooks.XTI = supbooks.XTI.concat(val); break;\n\t\t\t\tcase 'NameCmt':\n\t\t\t\t\t/* TODO: search for correct name */\n\t\t\t\t\tif(opts.biff < 8) break;\n\t\t\t\t\tif(last_lbl != null) last_lbl.Comment = val[1];\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'Protect': out[\"!protect\"] = val; break; /* for sheet or book */\n\t\t\t\tcase 'Password': if(val !== 0 && opts.WTF) console.error(\"Password verifier: \" + val); break;\n\t\t\t\tcase 'Prot4Rev': case 'Prot4RevPass': break; /*TODO: Revision Control*/\n\n\t\t\t\tcase 'BoundSheet8': {\n\t\t\t\t\tDirectory[val.pos] = val;\n\t\t\t\t\topts.snames.push(val.name);\n\t\t\t\t} break;\n\t\t\t\tcase 'EOF': {\n\t\t\t\t\tif(--file_depth) break;\n\t\t\t\t\tif(range.e) {\n\t\t\t\t\t\tif(range.e.r > 0 && range.e.c > 0) {\n\t\t\t\t\t\t\trange.e.r--; range.e.c--;\n\t\t\t\t\t\t\tout[\"!ref\"] = encode_range(range);\n\t\t\t\t\t\t\tif(options.sheetRows && options.sheetRows <= range.e.r) {\n\t\t\t\t\t\t\t\tvar tmpri = range.e.r;\n\t\t\t\t\t\t\t\trange.e.r = options.sheetRows - 1;\n\t\t\t\t\t\t\t\tout[\"!fullref\"] = out[\"!ref\"];\n\t\t\t\t\t\t\t\tout[\"!ref\"] = encode_range(range);\n\t\t\t\t\t\t\t\trange.e.r = tmpri;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\trange.e.r++; range.e.c++;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif(merges.length > 0) out[\"!merges\"] = merges;\n\t\t\t\t\t\tif(objects.length > 0) out[\"!objects\"] = objects;\n\t\t\t\t\t\tif(colinfo.length > 0) out[\"!cols\"] = colinfo;\n\t\t\t\t\t\tif(rowinfo.length > 0) out[\"!rows\"] = rowinfo;\n\t\t\t\t\t\tWorkbook.Sheets.push(wsprops);\n\t\t\t\t\t}\n\t\t\t\t\tif(cur_sheet === \"\") Preamble = out; else Sheets[cur_sheet] = out;\n\t\t\t\t\tout = ((options.dense ? [] : {}));\n\t\t\t\t} break;\n\t\t\t\tcase 'BOF': {\n\t\t\t\t\tif(opts.biff === 8) opts.biff = {\n0x0009:2,\n0x0209:3,\n0x0409:4\n\t\t\t\t\t}[RecordType] || {\n0x0200:2,\n0x0300:3,\n0x0400:4,\n0x0500:5,\n0x0600:8,\n0x0002:2,\n0x0007:2\n\t\t\t\t\t}[val.BIFFVer] || 8;\n\t\t\t\t\tif(opts.biff == 8 && val.BIFFVer == 0 && val.dt == 16) opts.biff = 2;\n\t\t\t\t\tif(file_depth++) break;\n\t\t\t\t\tcell_valid = true;\n\t\t\t\t\tout = ((options.dense ? [] : {}));\n\n\t\t\t\t\tif(opts.biff < 8 && !seen_codepage) { seen_codepage = true; set_cp(opts.codepage = options.codepage || 1252); }\n\t\t\t\t\tif(opts.biff < 5) {\n\t\t\t\t\t\tif(cur_sheet === \"\") cur_sheet = \"Sheet1\";\n\t\t\t\t\t\trange = {s:{r:0,c:0},e:{r:0,c:0}};\n\t\t\t\t\t\t/* fake BoundSheet8 */\n\t\t\t\t\t\tvar fakebs8 = {pos: blob.l - length, name:cur_sheet};\n\t\t\t\t\t\tDirectory[fakebs8.pos] = fakebs8;\n\t\t\t\t\t\topts.snames.push(cur_sheet);\n\t\t\t\t\t}\n\t\t\t\t\telse cur_sheet = (Directory[s] || {name:\"\"}).name;\n\t\t\t\t\tif(val.dt == 0x20) out[\"!type\"] = \"chart\";\n\t\t\t\t\tif(val.dt == 0x40) out[\"!type\"] = \"macro\";\n\t\t\t\t\tmerges = [];\n\t\t\t\t\tobjects = [];\n\t\t\t\t\topts.arrayf = arrayf = [];\n\t\t\t\t\tcolinfo = []; rowinfo = [];\n\t\t\t\t\tdefwidth = defheight = 0;\n\t\t\t\t\tseencol = false;\n\t\t\t\t\twsprops = {Hidden:(Directory[s]||{hs:0}).hs, name:cur_sheet };\n\t\t\t\t} break;\n\n\t\t\t\tcase 'Number': case 'BIFF2NUM': case 'BIFF2INT': {\n\t\t\t\t\tif(out[\"!type\"] == \"chart\") if(options.dense ? (out[val.r]||[])[val.c]: out[encode_cell({c:val.c, r:val.r})]) ++val.c;\n\t\t\t\t\ttemp_val = ({ixfe: val.ixfe, XF: XFs[val.ixfe]||{}, v:val.val, t:'n'});\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'BoolErr': {\n\t\t\t\t\ttemp_val = ({ixfe: val.ixfe, XF: XFs[val.ixfe], v:val.val, t:val.t});\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'RK': {\n\t\t\t\t\ttemp_val = ({ixfe: val.ixfe, XF: XFs[val.ixfe], v:val.rknum, t:'n'});\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'MulRk': {\n\t\t\t\t\tfor(var j = val.c; j <= val.C; ++j) {\n\t\t\t\t\t\tvar ixfe = val.rkrec[j-val.c][0];\n\t\t\t\t\t\ttemp_val= ({ixfe:ixfe, XF:XFs[ixfe], v:val.rkrec[j-val.c][1], t:'n'});\n\t\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\t\taddcell({c:j, r:val.r}, temp_val, options);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'Formula': {\n\t\t\t\t\tif(val.val == 'String') { last_formula = val; break; }\n\t\t\t\t\ttemp_val = make_cell(val.val, val.cell.ixfe, val.tt);\n\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\tif(options.cellFormula) {\n\t\t\t\t\t\tvar _f = val.formula;\n\t\t\t\t\t\tif(_f && _f[0] && _f[0][0] && _f[0][0][0] == 'PtgExp') {\n\t\t\t\t\t\t\tvar _fr = _f[0][0][1][0], _fc = _f[0][0][1][1];\n\t\t\t\t\t\t\tvar _fe = encode_cell({r:_fr, c:_fc});\n\t\t\t\t\t\t\tif(sharedf[_fe]) temp_val.f = \"\"+stringify_formula(val.formula,range,val.cell,supbooks, opts);\n\t\t\t\t\t\t\telse temp_val.F = ((options.dense ? (out[_fr]||[])[_fc]: out[_fe]) || {}).F;\n\t\t\t\t\t\t} else temp_val.f = \"\"+stringify_formula(val.formula,range,val.cell,supbooks, opts);\n\t\t\t\t\t}\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell(val.cell, temp_val, options);\n\t\t\t\t\tlast_formula = val;\n\t\t\t\t} break;\n\t\t\t\tcase 'String': {\n\t\t\t\t\tif(last_formula) { /* technically always true */\n\t\t\t\t\t\tlast_formula.val = val;\n\t\t\t\t\t\ttemp_val = make_cell(val, last_formula.cell.ixfe, 's');\n\t\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\t\tif(options.cellFormula) {\n\t\t\t\t\t\t\ttemp_val.f = \"\"+stringify_formula(last_formula.formula, range, last_formula.cell, supbooks, opts);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\t\taddcell(last_formula.cell, temp_val, options);\n\t\t\t\t\t\tlast_formula = null;\n\t\t\t\t\t} else throw new Error(\"String record expects Formula\");\n\t\t\t\t} break;\n\t\t\t\tcase 'Array': {\n\t\t\t\t\tarrayf.push(val);\n\t\t\t\t\tvar _arraystart = encode_cell(val[0].s);\n\t\t\t\t\tcc = options.dense ? (out[val[0].s.r]||[])[val[0].s.c] : out[_arraystart];\n\t\t\t\t\tif(options.cellFormula && cc) {\n\t\t\t\t\t\tif(!last_formula) break; /* technically unreachable */\n\t\t\t\t\t\tif(!_arraystart || !cc) break;\n\t\t\t\t\t\tcc.f = \"\"+stringify_formula(val[1], range, val[0], supbooks, opts);\n\t\t\t\t\t\tcc.F = encode_range(val[0]);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'ShrFmla': {\n\t\t\t\t\tif(!cell_valid) break;\n\t\t\t\t\tif(!options.cellFormula) break;\n\t\t\t\t\tif(last_cell) {\n\t\t\t\t\t\t/* TODO: capture range */\n\t\t\t\t\t\tif(!last_formula) break; /* technically unreachable */\n\t\t\t\t\t\tsharedf[encode_cell(last_formula.cell)]= val[0];\n\t\t\t\t\t\tcc = options.dense ? (out[last_formula.cell.r]||[])[last_formula.cell.c] : out[encode_cell(last_formula.cell)];\n\t\t\t\t\t\t(cc||{}).f = \"\"+stringify_formula(val[0], range, lastcell, supbooks, opts);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'LabelSst':\n\t\t\t\t\ttemp_val=make_cell(sst[val.isst].t, val.ixfe, 's');\n\t\t\t\t\tif(sst[val.isst].h) temp_val.h = sst[val.isst].h;\n\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'Blank': if(options.sheetStubs) {\n\t\t\t\t\ttemp_val = ({ixfe: val.ixfe, XF: XFs[val.ixfe], t:'z'});\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'MulBlank': if(options.sheetStubs) {\n\t\t\t\t\tfor(var _j = val.c; _j <= val.C; ++_j) {\n\t\t\t\t\t\tvar _ixfe = val.ixfe[_j-val.c];\n\t\t\t\t\t\ttemp_val= ({ixfe:_ixfe, XF:XFs[_ixfe], t:'z'});\n\t\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\t\taddcell({c:_j, r:val.r}, temp_val, options);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'RString':\n\t\t\t\tcase 'Label': case 'BIFF2STR':\n\t\t\t\t\ttemp_val=make_cell(val.val, val.ixfe, 's');\n\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'Dimensions': {\n\t\t\t\t\tif(file_depth === 1) range = val; /* TODO: stack */\n\t\t\t\t} break;\n\t\t\t\tcase 'SST': {\n\t\t\t\t\tsst = val;\n\t\t\t\t} break;\n\t\t\t\tcase 'Format': { /* val = [id, fmt] */\n\t\t\t\t\tif(opts.biff == 4) {\n\t\t\t\t\t\tBIFF2FmtTable[BIFF2Fmt++] = val[1];\n\t\t\t\t\t\tfor(var b4idx = 0; b4idx < BIFF2Fmt + 163; ++b4idx) if(SSF._table[b4idx] == val[1]) break;\n\t\t\t\t\t\tif(b4idx >= 163) SSF.load(val[1], BIFF2Fmt + 163);\n\t\t\t\t\t}\n\t\t\t\t\telse SSF.load(val[1], val[0]);\n\t\t\t\t} break;\n\t\t\t\tcase 'BIFF2FORMAT': {\n\t\t\t\t\tBIFF2FmtTable[BIFF2Fmt++] = val;\n\t\t\t\t\tfor(var b2idx = 0; b2idx < BIFF2Fmt + 163; ++b2idx) if(SSF._table[b2idx] == val) break;\n\t\t\t\t\tif(b2idx >= 163) SSF.load(val, BIFF2Fmt + 163);\n\t\t\t\t} break;\n\n\t\t\t\tcase 'MergeCells': merges = merges.concat(val); break;\n\n\t\t\t\tcase 'Obj': objects[val.cmo[0]] = opts.lastobj = val; break;\n\t\t\t\tcase 'TxO': opts.lastobj.TxO = val; break;\n\t\t\t\tcase 'ImData': opts.lastobj.ImData = val; break;\n\n\t\t\t\tcase 'HLink': {\n\t\t\t\t\tfor(rngR = val[0].s.r; rngR <= val[0].e.r; ++rngR)\n\t\t\t\t\t\tfor(rngC = val[0].s.c; rngC <= val[0].e.c; ++rngC) {\n\t\t\t\t\t\t\tcc = options.dense ? (out[rngR]||[])[rngC] : out[encode_cell({c:rngC,r:rngR})];\n\t\t\t\t\t\t\tif(cc) cc.l = val[1];\n\t\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'HLinkTooltip': {\n\t\t\t\t\tfor(rngR = val[0].s.r; rngR <= val[0].e.r; ++rngR)\n\t\t\t\t\t\tfor(rngC = val[0].s.c; rngC <= val[0].e.c; ++rngC) {\n\t\t\t\t\t\t\tcc = options.dense ? (out[rngR]||[])[rngC] : out[encode_cell({c:rngC,r:rngR})];\n\t\t\t\t\t\t\tif(cc && cc.l) cc.l.Tooltip = val[1];\n\t\t\t\t\t\t\t}\n\t\t\t\t} break;\n\n\t\t\t\t/* Comments */\n\t\t\t\tcase 'Note': {\n\t\t\t\t\tif(opts.biff <= 5 && opts.biff >= 2) break; /* TODO: BIFF5 */\n\t\t\t\t\tcc = options.dense ? (out[val[0].r]||[])[val[0].c] : out[encode_cell(val[0])];\n\t\t\t\t\tvar noteobj = objects[val[2]];\n\t\t\t\t\tif(!cc) {\n\t\t\t\t\t\tif(options.dense) {\n\t\t\t\t\t\t\tif(!out[val[0].r]) out[val[0].r] = [];\n\t\t\t\t\t\t\tcc = out[val[0].r][val[0].c] = ({t:\"z\"});\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tcc = out[encode_cell(val[0])] = ({t:\"z\"});\n\t\t\t\t\t\t}\n\t\t\t\t\t\trange.e.r = Math.max(range.e.r, val[0].r);\n\t\t\t\t\t\trange.s.r = Math.min(range.s.r, val[0].r);\n\t\t\t\t\t\trange.e.c = Math.max(range.e.c, val[0].c);\n\t\t\t\t\t\trange.s.c = Math.min(range.s.c, val[0].c);\n\t\t\t\t\t}\n\t\t\t\t\tif(!cc.c) cc.c = [];\n\t\t\t\t\tcmnt = {a:val[1],t:noteobj.TxO.t};\n\t\t\t\t\tcc.c.push(cmnt);\n\t\t\t\t} break;\n\n\t\t\t\tdefault: switch(R.n) { /* nested */\n\t\t\t\tcase 'ClrtClient': break;\n\t\t\t\tcase 'XFExt': update_xfext(XFs[val.ixfe], val.ext); break;\n\n\t\t\t\tcase 'DefColWidth': defwidth = val; break;\n\t\t\t\tcase 'DefaultRowHeight': defheight = val[1]; break; // TODO: flags\n\n\t\t\t\tcase 'ColInfo': {\n\t\t\t\t\tif(!opts.cellStyles) break;\n\t\t\t\t\twhile(val.e >= val.s) {\n\t\t\t\t\t\tcolinfo[val.e--] = { width: val.w/256 };\n\t\t\t\t\t\tif(!seencol) { seencol = true; find_mdw_colw(val.w/256); }\n\t\t\t\t\t\tprocess_col(colinfo[val.e+1]);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'Row': {\n\t\t\t\t\tvar rowobj = {};\n\t\t\t\t\tif(val.level != null) { rowinfo[val.r] = rowobj; rowobj.level = val.level; }\n\t\t\t\t\tif(val.hidden) { rowinfo[val.r] = rowobj; rowobj.hidden = true; }\n\t\t\t\t\tif(val.hpt) {\n\t\t\t\t\t\trowinfo[val.r] = rowobj;\n\t\t\t\t\t\trowobj.hpt = val.hpt; rowobj.hpx = pt2px(val.hpt);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\n\t\t\t\tcase 'LeftMargin':\n\t\t\t\tcase 'RightMargin':\n\t\t\t\tcase 'TopMargin':\n\t\t\t\tcase 'BottomMargin':\n\t\t\t\t\tif(!out['!margins']) default_margins(out['!margins'] = {});\n\t\t\t\t\tout['!margins'][Rn.slice(0,-6).toLowerCase()] = val;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'Setup': // TODO\n\t\t\t\t\tif(!out['!margins']) default_margins(out['!margins'] = {});\n\t\t\t\t\tout['!margins'].header = val.header;\n\t\t\t\t\tout['!margins'].footer = val.footer;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'Window2': // TODO\n\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\tif(val.RTL) Workbook.Views[0].RTL = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'Header': break; // TODO\n\t\t\t\tcase 'Footer': break; // TODO\n\t\t\t\tcase 'HCenter': break; // TODO\n\t\t\t\tcase 'VCenter': break; // TODO\n\t\t\t\tcase 'Pls': break; // TODO\n\t\t\t\tcase 'GCW': break;\n\t\t\t\tcase 'LHRecord': break;\n\t\t\t\tcase 'DBCell': break; // TODO\n\t\t\t\tcase 'EntExU2': break; // TODO\n\t\t\t\tcase 'SxView': break; // TODO\n\t\t\t\tcase 'Sxvd': break; // TODO\n\t\t\t\tcase 'SXVI': break; // TODO\n\t\t\t\tcase 'SXVDEx': break; // TODO\n\t\t\t\tcase 'SxIvd': break; // TODO\n\t\t\t\tcase 'SXString': break; // TODO\n\t\t\t\tcase 'Sync': break;\n\t\t\t\tcase 'Addin': break;\n\t\t\t\tcase 'SXDI': break; // TODO\n\t\t\t\tcase 'SXLI': break; // TODO\n\t\t\t\tcase 'SXEx': break; // TODO\n\t\t\t\tcase 'QsiSXTag': break; // TODO\n\t\t\t\tcase 'Selection': break;\n\t\t\t\tcase 'Feat': break;\n\t\t\t\tcase 'FeatHdr': case 'FeatHdr11': break;\n\t\t\t\tcase 'Feature11': case 'Feature12': case 'List12': break;\n\t\t\t\tcase 'Country': country = val; break;\n\t\t\t\tcase 'RecalcId': break;\n\t\t\t\tcase 'DxGCol': break; // TODO: htmlify\n\t\t\t\tcase 'Fbi': case 'Fbi2': case 'GelFrame': break;\n\t\t\t\tcase 'Font': break; // TODO\n\t\t\t\tcase 'XFCRC': break; // TODO\n\t\t\t\tcase 'Style': break; // TODO\n\t\t\t\tcase 'StyleExt': break; // TODO\n\t\t\t\tcase 'Palette': palette = val; break;\n\t\t\t\tcase 'Theme': themes = val; break;\n\t\t\t\t/* Protection */\n\t\t\t\tcase 'ScenarioProtect': break;\n\t\t\t\tcase 'ObjProtect': break;\n\n\t\t\t\t/* Conditional Formatting */\n\t\t\t\tcase 'CondFmt12': break;\n\n\t\t\t\t/* Table */\n\t\t\t\tcase 'Table': break; // TODO\n\t\t\t\tcase 'TableStyles': break; // TODO\n\t\t\t\tcase 'TableStyle': break; // TODO\n\t\t\t\tcase 'TableStyleElement': break; // TODO\n\n\t\t\t\t/* PivotTable */\n\t\t\t\tcase 'SXStreamID': break; // TODO\n\t\t\t\tcase 'SXVS': break; // TODO\n\t\t\t\tcase 'DConRef': break; // TODO\n\t\t\t\tcase 'SXAddl': break; // TODO\n\t\t\t\tcase 'DConBin': break; // TODO\n\t\t\t\tcase 'DConName': break; // TODO\n\t\t\t\tcase 'SXPI': break; // TODO\n\t\t\t\tcase 'SxFormat': break; // TODO\n\t\t\t\tcase 'SxSelect': break; // TODO\n\t\t\t\tcase 'SxRule': break; // TODO\n\t\t\t\tcase 'SxFilt': break; // TODO\n\t\t\t\tcase 'SxItm': break; // TODO\n\t\t\t\tcase 'SxDXF': break; // TODO\n\n\t\t\t\t/* Scenario Manager */\n\t\t\t\tcase 'ScenMan': break;\n\n\t\t\t\t/* Data Consolidation */\n\t\t\t\tcase 'DCon': break;\n\n\t\t\t\t/* Watched Cell */\n\t\t\t\tcase 'CellWatch': break;\n\n\t\t\t\t/* Print Settings */\n\t\t\t\tcase 'PrintRowCol': break;\n\t\t\t\tcase 'PrintGrid': break;\n\t\t\t\tcase 'PrintSize': break;\n\n\t\t\t\tcase 'XCT': break;\n\t\t\t\tcase 'CRN': break;\n\n\t\t\t\tcase 'Scl': {\n\t\t\t\t\t//console.log(\"Zoom Level:\", val[0]/val[1],val);\n\t\t\t\t} break;\n\t\t\t\tcase 'SheetExt': {\n\t\t\t\t\t/* empty */\n\t\t\t\t} break;\n\t\t\t\tcase 'SheetExtOptional': {\n\t\t\t\t\t/* empty */\n\t\t\t\t} break;\n\n\t\t\t\t/* VBA */\n\t\t\t\tcase 'ObNoMacros': {\n\t\t\t\t\t/* empty */\n\t\t\t\t} break;\n\t\t\t\tcase 'ObProj': {\n\t\t\t\t\t/* empty */\n\t\t\t\t} break;\n\t\t\t\tcase 'CodeName': {\nif(!cur_sheet) Workbook.WBProps.CodeName = val || \"ThisWorkbook\";\n\t\t\t\t\telse wsprops.CodeName = val || wsprops.name;\n\t\t\t\t} break;\n\t\t\t\tcase 'GUIDTypeLib': {\n\t\t\t\t\t/* empty */\n\t\t\t\t} break;\n\n\t\t\t\tcase 'WOpt': break; // TODO: WTF?\n\t\t\t\tcase 'PhoneticInfo': break;\n\n\t\t\t\tcase 'OleObjectSize': break;\n\n\t\t\t\t/* Differential Formatting */\n\t\t\t\tcase 'DXF': case 'DXFN': case 'DXFN12': case 'DXFN12List': case 'DXFN12NoCB': break;\n\n\t\t\t\t/* Data Validation */\n\t\t\t\tcase 'Dv': case 'DVal': break;\n\n\t\t\t\t/* Data Series */\n\t\t\t\tcase 'BRAI': case 'Series': case 'SeriesText': break;\n\n\t\t\t\t/* Data Connection */\n\t\t\t\tcase 'DConn': break;\n\t\t\t\tcase 'DbOrParamQry': break;\n\t\t\t\tcase 'DBQueryExt': break;\n\n\t\t\t\tcase 'OleDbConn': break;\n\t\t\t\tcase 'ExtString': break;\n\n\t\t\t\t/* Formatting */\n\t\t\t\tcase 'IFmtRecord': break;\n\t\t\t\tcase 'CondFmt': case 'CF': case 'CF12': case 'CFEx': break;\n\n\t\t\t\t/* Explicitly Ignored */\n\t\t\t\tcase 'Excel9File': break;\n\t\t\t\tcase 'Units': break;\n\t\t\t\tcase 'InterfaceHdr': case 'Mms': case 'InterfaceEnd': case 'DSF': break;\n\t\t\t\tcase 'BuiltInFnGroupCount': /* 2.4.30 0x0E or 0x10 but excel 2011 generates 0x11? */ break;\n\t\t\t\t/* View Stuff */\n\t\t\t\tcase 'Window1': case 'HideObj': case 'GridSet': case 'Guts':\n\t\t\t\tcase 'UserBView': case 'UserSViewBegin': case 'UserSViewEnd': break;\n\t\t\t\tcase 'Pane': break;\n\t\t\t\tdefault: switch(R.n) { /* nested */\n\t\t\t\t/* Chart */\n\t\t\t\tcase 'Dat':\n\t\t\t\tcase 'Begin': case 'End':\n\t\t\t\tcase 'StartBlock': case 'EndBlock':\n\t\t\t\tcase 'Frame': case 'Area':\n\t\t\t\tcase 'Axis': case 'AxisLine': case 'Tick': break;\n\t\t\t\tcase 'AxesUsed':\n\t\t\t\tcase 'CrtLayout12': case 'CrtLayout12A': case 'CrtLink': case 'CrtLine': case 'CrtMlFrt': case 'CrtMlFrtContinue': break;\n\t\t\t\tcase 'LineFormat': case 'AreaFormat':\n\t\t\t\tcase 'Chart': case 'Chart3d': case 'Chart3DBarShape': case 'ChartFormat': case 'ChartFrtInfo': break;\n\t\t\t\tcase 'PlotArea': case 'PlotGrowth': break;\n\t\t\t\tcase 'SeriesList': case 'SerParent': case 'SerAuxTrend': break;\n\t\t\t\tcase 'DataFormat': case 'SerToCrt': case 'FontX': break;\n\t\t\t\tcase 'CatSerRange': case 'AxcExt': case 'SerFmt': break;\n\t\t\t\tcase 'ShtProps': break;\n\t\t\t\tcase 'DefaultText': case 'Text': case 'CatLab': break;\n\t\t\t\tcase 'DataLabExtContents': break;\n\t\t\t\tcase 'Legend': case 'LegendException': break;\n\t\t\t\tcase 'Pie': case 'Scatter': break;\n\t\t\t\tcase 'PieFormat': case 'MarkerFormat': break;\n\t\t\t\tcase 'StartObject': case 'EndObject': break;\n\t\t\t\tcase 'AlRuns': case 'ObjectLink': break;\n\t\t\t\tcase 'SIIndex': break;\n\t\t\t\tcase 'AttachedLabel': case 'YMult': break;\n\n\t\t\t\t/* Chart Group */\n\t\t\t\tcase 'Line': case 'Bar': break;\n\t\t\t\tcase 'Surf': break;\n\n\t\t\t\t/* Axis Group */\n\t\t\t\tcase 'AxisParent': break;\n\t\t\t\tcase 'Pos': break;\n\t\t\t\tcase 'ValueRange': break;\n\n\t\t\t\t/* Pivot Chart */\n\t\t\t\tcase 'SXViewEx9': break; // TODO\n\t\t\t\tcase 'SXViewLink': break;\n\t\t\t\tcase 'PivotChartBits': break;\n\t\t\t\tcase 'SBaseRef': break;\n\t\t\t\tcase 'TextPropsStream': break;\n\n\t\t\t\t/* Chart Misc */\n\t\t\t\tcase 'LnExt': break;\n\t\t\t\tcase 'MkrExt': break;\n\t\t\t\tcase 'CrtCoopt': break;\n\n\t\t\t\t/* Query Table */\n\t\t\t\tcase 'Qsi': case 'Qsif': case 'Qsir': case 'QsiSXTag': break;\n\t\t\t\tcase 'TxtQry': break;\n\n\t\t\t\t/* Filter */\n\t\t\t\tcase 'FilterMode': break;\n\t\t\t\tcase 'AutoFilter': case 'AutoFilterInfo': break;\n\t\t\t\tcase 'AutoFilter12': break;\n\t\t\t\tcase 'DropDownObjIds': break;\n\t\t\t\tcase 'Sort': break;\n\t\t\t\tcase 'SortData': break;\n\n\t\t\t\t/* Drawing */\n\t\t\t\tcase 'ShapePropsStream': break;\n\t\t\t\tcase 'MsoDrawing': case 'MsoDrawingGroup': case 'MsoDrawingSelection': break;\n\t\t\t\t/* Pub Stuff */\n\t\t\t\tcase 'WebPub': case 'AutoWebPub': break;\n\n\t\t\t\t/* Print Stuff */\n\t\t\t\tcase 'HeaderFooter': case 'HFPicture': case 'PLV':\n\t\t\t\tcase 'HorizontalPageBreaks': case 'VerticalPageBreaks': break;\n\t\t\t\t/* Behavioral */\n\t\t\t\tcase 'Backup': case 'CompressPictures': case 'Compat12': break;\n\n\t\t\t\t/* Should not Happen */\n\t\t\t\tcase 'Continue': case 'ContinueFrt12': break;\n\n\t\t\t\t/* Future Records */\n\t\t\t\tcase 'FrtFontList': case 'FrtWrapper': break;\n\n\t\t\t\tdefault: switch(R.n) { /* nested */\n\t\t\t\t/* BIFF5 records */\n\t\t\t\tcase 'TabIdConf': case 'Radar': case 'RadarArea': case 'DropBar': case 'Intl': case 'CoordList': case 'SerAuxErrBar': break;\n\n\t\t\t\t/* BIFF2-4 records */\n\t\t\t\tcase 'BIFF2FONTCLR': case 'BIFF2FMTCNT': case 'BIFF2FONTXTRA': break;\n\t\t\t\tcase 'BIFF2XF': case 'BIFF3XF': case 'BIFF4XF': break;\n\t\t\t\tcase 'BIFF4FMTCNT': case 'BIFF2ROW': case 'BIFF2WINDOW2': break;\n\n\t\t\t\t/* Miscellaneous */\n\t\t\t\tcase 'SCENARIO': case 'DConBin': case 'PicF': case 'DataLabExt':\n\t\t\t\tcase 'Lel': case 'BopPop': case 'BopPopCustom': case 'RealTimeData':\n\t\t\t\tcase 'Name': break;\n\t\t\t\tcase 'LHNGraph': case 'FnGroupName': case 'AddMenu': case 'LPr': break;\n\t\t\t\tcase 'ListObj': case 'ListField': break;\n\t\t\t\tcase 'RRSort': break;\n\t\t\t\tcase 'BigName': break;\n\t\t\t\tcase 'ToolbarHdr': case 'ToolbarEnd': break;\n\t\t\t\tcase 'DDEObjName': break;\n\t\t\t\tcase 'FRTArchId$': break;\n\t\t\t\tdefault: if(options.WTF) throw 'Unrecognized Record ' + R.n;\n\t\t\t}}}}\n\t\t} else blob.l += length;\n\t}\n\twb.SheetNames=keys(Directory).sort(function(a,b) { return Number(a) - Number(b); }).map(function(x){return Directory[x].name;});\n\tif(!options.bookSheets) wb.Sheets=Sheets;\n\tif(wb.Sheets) FilterDatabases.forEach(function(r,i) { wb.Sheets[wb.SheetNames[i]]['!autofilter'] = r; });\n\twb.Preamble=Preamble;\n\twb.Strings = sst;\n\twb.SSF = SSF.get_table();\n\tif(opts.enc) wb.Encryption = opts.enc;\n\tif(themes) wb.Themes = themes;\n\twb.Metadata = {};\n\tif(country !== undefined) wb.Metadata.Country = country;\n\tif(supbooks.names.length > 0) Workbook.Names = supbooks.names;\n\twb.Workbook = Workbook;\n\treturn wb;\n}\n\n/* TODO: split props*/\nvar PSCLSID = {\n\tSI: \"e0859ff2f94f6810ab9108002b27b3d9\",\n\tDSI: \"02d5cdd59c2e1b10939708002b2cf9ae\",\n\tUDI: \"05d5cdd59c2e1b10939708002b2cf9ae\"\n};\nfunction parse_xls_props(cfb, props, o) {\n\t/* [MS-OSHARED] 2.3.3.2.2 Document Summary Information Property Set */\n\tvar DSI = CFB.find(cfb, '!DocumentSummaryInformation');\n\tif(DSI && DSI.size > 0) try {\n\t\tvar DocSummary = parse_PropertySetStream(DSI, DocSummaryPIDDSI, PSCLSID.DSI);\n\t\tfor(var d in DocSummary) props[d] = DocSummary[d];\n\t} catch(e) {if(o.WTF) throw e;/* empty */}\n\n\t/* [MS-OSHARED] 2.3.3.2.1 Summary Information Property Set*/\n\tvar SI = CFB.find(cfb, '!SummaryInformation');\n\tif(SI && SI.size > 0) try {\n\t\tvar Summary = parse_PropertySetStream(SI, SummaryPIDSI, PSCLSID.SI);\n\t\tfor(var s in Summary) if(props[s] == null) props[s] = Summary[s];\n\t} catch(e) {if(o.WTF) throw e;/* empty */}\n\n\tif(props.HeadingPairs && props.TitlesOfParts) {\n\t\tload_props_pairs(props.HeadingPairs, props.TitlesOfParts, props, o);\n\t\tdelete props.HeadingPairs; delete props.TitlesOfParts;\n\t}\n}\nfunction write_xls_props(wb, cfb) {\n\tvar DSEntries = [], SEntries = [], CEntries = [];\n\tvar i = 0, Keys;\n\tif(wb.Props) {\n\t\tKeys = keys(wb.Props);\n\t\t// $FlowIgnore\n\t\tfor(i = 0; i < Keys.length; ++i) (Object.prototype.hasOwnProperty.call(DocSummaryRE, Keys[i]) ? DSEntries : Object.prototype.hasOwnProperty.call(SummaryRE, Keys[i]) ? SEntries : CEntries).push([Keys[i], wb.Props[Keys[i]]]);\n\t}\n\tif(wb.Custprops) {\n\t\tKeys = keys(wb.Custprops);\n\t\t// $FlowIgnore\n\t\tfor(i = 0; i < Keys.length; ++i) if(!Object.prototype.hasOwnProperty.call((wb.Props||{}), Keys[i])) (Object.prototype.hasOwnProperty.call(DocSummaryRE, Keys[i]) ? DSEntries : Object.prototype.hasOwnProperty.call(SummaryRE, Keys[i]) ? SEntries : CEntries).push([Keys[i], wb.Custprops[Keys[i]]]);\n\t}\n\tvar CEntries2 = [];\n\tfor(i = 0; i < CEntries.length; ++i) {\n\t\tif(XLSPSSkip.indexOf(CEntries[i][0]) > -1) continue;\n\t\tif(CEntries[i][1] == null) continue;\n\t\tCEntries2.push(CEntries[i]);\n\t}\n\tif(SEntries.length) CFB.utils.cfb_add(cfb, \"/\\u0005SummaryInformation\", write_PropertySetStream(SEntries, PSCLSID.SI, SummaryRE, SummaryPIDSI));\n\tif(DSEntries.length || CEntries2.length) CFB.utils.cfb_add(cfb, \"/\\u0005DocumentSummaryInformation\", write_PropertySetStream(DSEntries, PSCLSID.DSI, DocSummaryRE, DocSummaryPIDDSI, CEntries2.length ? CEntries2 : null, PSCLSID.UDI));\n}\n\nfunction parse_xlscfb(cfb, options) {\nif(!options) options = {};\nfix_read_opts(options);\nreset_cp();\nif(options.codepage) set_ansi(options.codepage);\nvar CompObj, WB;\nif(cfb.FullPaths) {\n\tif(CFB.find(cfb, '/encryption')) throw new Error(\"File is password-protected\");\n\tCompObj = CFB.find(cfb, '!CompObj');\n\tWB = CFB.find(cfb, '/Workbook') || CFB.find(cfb, '/Book');\n} else {\n\tswitch(options.type) {\n\t\tcase 'base64': cfb = s2a(Base64.decode(cfb)); break;\n\t\tcase 'binary': cfb = s2a(cfb); break;\n\t\tcase 'buffer': break;\n\t\tcase 'array': if(!Array.isArray(cfb)) cfb = Array.prototype.slice.call(cfb); break;\n\t}\n\tprep_blob(cfb, 0);\n\tWB = ({content: cfb});\n}\nvar WorkbookP;\n\nvar _data;\nif(CompObj) parse_compobj(CompObj);\nif(options.bookProps && !options.bookSheets) WorkbookP = ({});\nelse {\n\tvar T = has_buf ? 'buffer' : 'array';\n\tif(WB && WB.content) WorkbookP = parse_workbook(WB.content, options);\n\t/* Quattro Pro 7-8 */\n\telse if((_data=CFB.find(cfb, 'PerfectOffice_MAIN')) && _data.content) WorkbookP = WK_.to_workbook(_data.content, (options.type = T, options));\n\t/* Quattro Pro 9 */\n\telse if((_data=CFB.find(cfb, 'NativeContent_MAIN')) && _data.content) WorkbookP = WK_.to_workbook(_data.content, (options.type = T, options));\n\telse throw new Error(\"Cannot find Workbook stream\");\n\tif(options.bookVBA && cfb.FullPaths && CFB.find(cfb, '/_VBA_PROJECT_CUR/VBA/dir')) WorkbookP.vbaraw = make_vba_xls(cfb);\n}\n\nvar props = {};\nif(cfb.FullPaths) parse_xls_props(cfb, props, options);\n\nWorkbookP.Props = WorkbookP.Custprops = props; /* TODO: split up properties */\nif(options.bookFiles) WorkbookP.cfb = cfb;\n/*WorkbookP.CompObjP = CompObjP; // TODO: storage? */\nreturn WorkbookP;\n}\n\n\nfunction write_xlscfb(wb, opts) {\n\tvar o = opts || {};\n\tvar cfb = CFB.utils.cfb_new({root:\"R\"});\n\tvar wbpath = \"/Workbook\";\n\tswitch(o.bookType || \"xls\") {\n\t\tcase \"xls\": o.bookType = \"biff8\";\n\t\t/* falls through */\n\t\tcase \"xla\": if(!o.bookType) o.bookType = \"xla\";\n\t\t/* falls through */\n\t\tcase \"biff8\": wbpath = \"/Workbook\"; o.biff = 8; break;\n\t\tcase \"biff5\": wbpath = \"/Book\"; o.biff = 5; break;\n\t\tdefault: throw new Error(\"invalid type \" + o.bookType + \" for XLS CFB\");\n\t}\n\tCFB.utils.cfb_add(cfb, wbpath, write_biff_buf(wb, o));\n\tif(o.biff == 8 && (wb.Props || wb.Custprops)) write_xls_props(wb, cfb);\n\t// TODO: SI, DSI, CO\n\tif(o.biff == 8 && wb.vbaraw) fill_vba_xls(cfb, CFB.read(wb.vbaraw, {type: typeof wb.vbaraw == \"string\" ? \"binary\" : \"buffer\"}));\n\treturn cfb;\n}\n/* [MS-XLSB] 2.3 Record Enumeration */\nvar XLSBRecordEnum = {\n0x0000: { n:\"BrtRowHdr\", f:parse_BrtRowHdr },\n0x0001: { n:\"BrtCellBlank\", f:parse_BrtCellBlank },\n0x0002: { n:\"BrtCellRk\", f:parse_BrtCellRk },\n0x0003: { n:\"BrtCellError\", f:parse_BrtCellError },\n0x0004: { n:\"BrtCellBool\", f:parse_BrtCellBool },\n0x0005: { n:\"BrtCellReal\", f:parse_BrtCellReal },\n0x0006: { n:\"BrtCellSt\", f:parse_BrtCellSt },\n0x0007: { n:\"BrtCellIsst\", f:parse_BrtCellIsst },\n0x0008: { n:\"BrtFmlaString\", f:parse_BrtFmlaString },\n0x0009: { n:\"BrtFmlaNum\", f:parse_BrtFmlaNum },\n0x000A: { n:\"BrtFmlaBool\", f:parse_BrtFmlaBool },\n0x000B: { n:\"BrtFmlaError\", f:parse_BrtFmlaError },\n0x0010: { n:\"BrtFRTArchID$\", f:parse_BrtFRTArchID$ },\n0x0013: { n:\"BrtSSTItem\", f:parse_RichStr },\n0x0014: { n:\"BrtPCDIMissing\" },\n0x0015: { n:\"BrtPCDINumber\" },\n0x0016: { n:\"BrtPCDIBoolean\" },\n0x0017: { n:\"BrtPCDIError\" },\n0x0018: { n:\"BrtPCDIString\" },\n0x0019: { n:\"BrtPCDIDatetime\" },\n0x001A: { n:\"BrtPCDIIndex\" },\n0x001B: { n:\"BrtPCDIAMissing\" },\n0x001C: { n:\"BrtPCDIANumber\" },\n0x001D: { n:\"BrtPCDIABoolean\" },\n0x001E: { n:\"BrtPCDIAError\" },\n0x001F: { n:\"BrtPCDIAString\" },\n0x0020: { n:\"BrtPCDIADatetime\" },\n0x0021: { n:\"BrtPCRRecord\" },\n0x0022: { n:\"BrtPCRRecordDt\" },\n0x0023: { n:\"BrtFRTBegin\" },\n0x0024: { n:\"BrtFRTEnd\" },\n0x0025: { n:\"BrtACBegin\" },\n0x0026: { n:\"BrtACEnd\" },\n0x0027: { n:\"BrtName\", f:parse_BrtName },\n0x0028: { n:\"BrtIndexRowBlock\" },\n0x002A: { n:\"BrtIndexBlock\" },\n0x002B: { n:\"BrtFont\", f:parse_BrtFont },\n0x002C: { n:\"BrtFmt\", f:parse_BrtFmt },\n0x002D: { n:\"BrtFill\", f:parse_BrtFill },\n0x002E: { n:\"BrtBorder\", f:parse_BrtBorder },\n0x002F: { n:\"BrtXF\", f:parse_BrtXF },\n0x0030: { n:\"BrtStyle\" },\n0x0031: { n:\"BrtCellMeta\" },\n0x0032: { n:\"BrtValueMeta\" },\n0x0033: { n:\"BrtMdb\" },\n0x0034: { n:\"BrtBeginFmd\" },\n0x0035: { n:\"BrtEndFmd\" },\n0x0036: { n:\"BrtBeginMdx\" },\n0x0037: { n:\"BrtEndMdx\" },\n0x0038: { n:\"BrtBeginMdxTuple\" },\n0x0039: { n:\"BrtEndMdxTuple\" },\n0x003A: { n:\"BrtMdxMbrIstr\" },\n0x003B: { n:\"BrtStr\" },\n0x003C: { n:\"BrtColInfo\", f:parse_ColInfo },\n0x003E: { n:\"BrtCellRString\" },\n0x003F: { n:\"BrtCalcChainItem$\", f:parse_BrtCalcChainItem$ },\n0x0040: { n:\"BrtDVal\", f:parse_BrtDVal },\n0x0041: { n:\"BrtSxvcellNum\" },\n0x0042: { n:\"BrtSxvcellStr\" },\n0x0043: { n:\"BrtSxvcellBool\" },\n0x0044: { n:\"BrtSxvcellErr\" },\n0x0045: { n:\"BrtSxvcellDate\" },\n0x0046: { n:\"BrtSxvcellNil\" },\n0x0080: { n:\"BrtFileVersion\" },\n0x0081: { n:\"BrtBeginSheet\" },\n0x0082: { n:\"BrtEndSheet\" },\n0x0083: { n:\"BrtBeginBook\", f:parsenoop, p:0 },\n0x0084: { n:\"BrtEndBook\" },\n0x0085: { n:\"BrtBeginWsViews\" },\n0x0086: { n:\"BrtEndWsViews\" },\n0x0087: { n:\"BrtBeginBookViews\" },\n0x0088: { n:\"BrtEndBookViews\" },\n0x0089: { n:\"BrtBeginWsView\", f:parse_BrtBeginWsView },\n0x008A: { n:\"BrtEndWsView\" },\n0x008B: { n:\"BrtBeginCsViews\" },\n0x008C: { n:\"BrtEndCsViews\" },\n0x008D: { n:\"BrtBeginCsView\" },\n0x008E: { n:\"BrtEndCsView\" },\n0x008F: { n:\"BrtBeginBundleShs\" },\n0x0090: { n:\"BrtEndBundleShs\" },\n0x0091: { n:\"BrtBeginSheetData\" },\n0x0092: { n:\"BrtEndSheetData\" },\n0x0093: { n:\"BrtWsProp\", f:parse_BrtWsProp },\n0x0094: { n:\"BrtWsDim\", f:parse_BrtWsDim, p:16 },\n0x0097: { n:\"BrtPane\", f:parse_BrtPane },\n0x0098: { n:\"BrtSel\" },\n0x0099: { n:\"BrtWbProp\", f:parse_BrtWbProp },\n0x009A: { n:\"BrtWbFactoid\" },\n0x009B: { n:\"BrtFileRecover\" },\n0x009C: { n:\"BrtBundleSh\", f:parse_BrtBundleSh },\n0x009D: { n:\"BrtCalcProp\" },\n0x009E: { n:\"BrtBookView\" },\n0x009F: { n:\"BrtBeginSst\", f:parse_BrtBeginSst },\n0x00A0: { n:\"BrtEndSst\" },\n0x00A1: { n:\"BrtBeginAFilter\", f:parse_UncheckedRfX },\n0x00A2: { n:\"BrtEndAFilter\" },\n0x00A3: { n:\"BrtBeginFilterColumn\" },\n0x00A4: { n:\"BrtEndFilterColumn\" },\n0x00A5: { n:\"BrtBeginFilters\" },\n0x00A6: { n:\"BrtEndFilters\" },\n0x00A7: { n:\"BrtFilter\" },\n0x00A8: { n:\"BrtColorFilter\" },\n0x00A9: { n:\"BrtIconFilter\" },\n0x00AA: { n:\"BrtTop10Filter\" },\n0x00AB: { n:\"BrtDynamicFilter\" },\n0x00AC: { n:\"BrtBeginCustomFilters\" },\n0x00AD: { n:\"BrtEndCustomFilters\" },\n0x00AE: { n:\"BrtCustomFilter\" },\n0x00AF: { n:\"BrtAFilterDateGroupItem\" },\n0x00B0: { n:\"BrtMergeCell\", f:parse_BrtMergeCell },\n0x00B1: { n:\"BrtBeginMergeCells\" },\n0x00B2: { n:\"BrtEndMergeCells\" },\n0x00B3: { n:\"BrtBeginPivotCacheDef\" },\n0x00B4: { n:\"BrtEndPivotCacheDef\" },\n0x00B5: { n:\"BrtBeginPCDFields\" },\n0x00B6: { n:\"BrtEndPCDFields\" },\n0x00B7: { n:\"BrtBeginPCDField\" },\n0x00B8: { n:\"BrtEndPCDField\" },\n0x00B9: { n:\"BrtBeginPCDSource\" },\n0x00BA: { n:\"BrtEndPCDSource\" },\n0x00BB: { n:\"BrtBeginPCDSRange\" },\n0x00BC: { n:\"BrtEndPCDSRange\" },\n0x00BD: { n:\"BrtBeginPCDFAtbl\" },\n0x00BE: { n:\"BrtEndPCDFAtbl\" },\n0x00BF: { n:\"BrtBeginPCDIRun\" },\n0x00C0: { n:\"BrtEndPCDIRun\" },\n0x00C1: { n:\"BrtBeginPivotCacheRecords\" },\n0x00C2: { n:\"BrtEndPivotCacheRecords\" },\n0x00C3: { n:\"BrtBeginPCDHierarchies\" },\n0x00C4: { n:\"BrtEndPCDHierarchies\" },\n0x00C5: { n:\"BrtBeginPCDHierarchy\" },\n0x00C6: { n:\"BrtEndPCDHierarchy\" },\n0x00C7: { n:\"BrtBeginPCDHFieldsUsage\" },\n0x00C8: { n:\"BrtEndPCDHFieldsUsage\" },\n0x00C9: { n:\"BrtBeginExtConnection\" },\n0x00CA: { n:\"BrtEndExtConnection\" },\n0x00CB: { n:\"BrtBeginECDbProps\" },\n0x00CC: { n:\"BrtEndECDbProps\" },\n0x00CD: { n:\"BrtBeginECOlapProps\" },\n0x00CE: { n:\"BrtEndECOlapProps\" },\n0x00CF: { n:\"BrtBeginPCDSConsol\" },\n0x00D0: { n:\"BrtEndPCDSConsol\" },\n0x00D1: { n:\"BrtBeginPCDSCPages\" },\n0x00D2: { n:\"BrtEndPCDSCPages\" },\n0x00D3: { n:\"BrtBeginPCDSCPage\" },\n0x00D4: { n:\"BrtEndPCDSCPage\" },\n0x00D5: { n:\"BrtBeginPCDSCPItem\" },\n0x00D6: { n:\"BrtEndPCDSCPItem\" },\n0x00D7: { n:\"BrtBeginPCDSCSets\" },\n0x00D8: { n:\"BrtEndPCDSCSets\" },\n0x00D9: { n:\"BrtBeginPCDSCSet\" },\n0x00DA: { n:\"BrtEndPCDSCSet\" },\n0x00DB: { n:\"BrtBeginPCDFGroup\" },\n0x00DC: { n:\"BrtEndPCDFGroup\" },\n0x00DD: { n:\"BrtBeginPCDFGItems\" },\n0x00DE: { n:\"BrtEndPCDFGItems\" },\n0x00DF: { n:\"BrtBeginPCDFGRange\" },\n0x00E0: { n:\"BrtEndPCDFGRange\" },\n0x00E1: { n:\"BrtBeginPCDFGDiscrete\" },\n0x00E2: { n:\"BrtEndPCDFGDiscrete\" },\n0x00E3: { n:\"BrtBeginPCDSDTupleCache\" },\n0x00E4: { n:\"BrtEndPCDSDTupleCache\" },\n0x00E5: { n:\"BrtBeginPCDSDTCEntries\" },\n0x00E6: { n:\"BrtEndPCDSDTCEntries\" },\n0x00E7: { n:\"BrtBeginPCDSDTCEMembers\" },\n0x00E8: { n:\"BrtEndPCDSDTCEMembers\" },\n0x00E9: { n:\"BrtBeginPCDSDTCEMember\" },\n0x00EA: { n:\"BrtEndPCDSDTCEMember\" },\n0x00EB: { n:\"BrtBeginPCDSDTCQueries\" },\n0x00EC: { n:\"BrtEndPCDSDTCQueries\" },\n0x00ED: { n:\"BrtBeginPCDSDTCQuery\" },\n0x00EE: { n:\"BrtEndPCDSDTCQuery\" },\n0x00EF: { n:\"BrtBeginPCDSDTCSets\" },\n0x00F0: { n:\"BrtEndPCDSDTCSets\" },\n0x00F1: { n:\"BrtBeginPCDSDTCSet\" },\n0x00F2: { n:\"BrtEndPCDSDTCSet\" },\n0x00F3: { n:\"BrtBeginPCDCalcItems\" },\n0x00F4: { n:\"BrtEndPCDCalcItems\" },\n0x00F5: { n:\"BrtBeginPCDCalcItem\" },\n0x00F6: { n:\"BrtEndPCDCalcItem\" },\n0x00F7: { n:\"BrtBeginPRule\" },\n0x00F8: { n:\"BrtEndPRule\" },\n0x00F9: { n:\"BrtBeginPRFilters\" },\n0x00FA: { n:\"BrtEndPRFilters\" },\n0x00FB: { n:\"BrtBeginPRFilter\" },\n0x00FC: { n:\"BrtEndPRFilter\" },\n0x00FD: { n:\"BrtBeginPNames\" },\n0x00FE: { n:\"BrtEndPNames\" },\n0x00FF: { n:\"BrtBeginPName\" },\n0x0100: { n:\"BrtEndPName\" },\n0x0101: { n:\"BrtBeginPNPairs\" },\n0x0102: { n:\"BrtEndPNPairs\" },\n0x0103: { n:\"BrtBeginPNPair\" },\n0x0104: { n:\"BrtEndPNPair\" },\n0x0105: { n:\"BrtBeginECWebProps\" },\n0x0106: { n:\"BrtEndECWebProps\" },\n0x0107: { n:\"BrtBeginEcWpTables\" },\n0x0108: { n:\"BrtEndECWPTables\" },\n0x0109: { n:\"BrtBeginECParams\" },\n0x010A: { n:\"BrtEndECParams\" },\n0x010B: { n:\"BrtBeginECParam\" },\n0x010C: { n:\"BrtEndECParam\" },\n0x010D: { n:\"BrtBeginPCDKPIs\" },\n0x010E: { n:\"BrtEndPCDKPIs\" },\n0x010F: { n:\"BrtBeginPCDKPI\" },\n0x0110: { n:\"BrtEndPCDKPI\" },\n0x0111: { n:\"BrtBeginDims\" },\n0x0112: { n:\"BrtEndDims\" },\n0x0113: { n:\"BrtBeginDim\" },\n0x0114: { n:\"BrtEndDim\" },\n0x0115: { n:\"BrtIndexPartEnd\" },\n0x0116: { n:\"BrtBeginStyleSheet\" },\n0x0117: { n:\"BrtEndStyleSheet\" },\n0x0118: { n:\"BrtBeginSXView\" },\n0x0119: { n:\"BrtEndSXVI\" },\n0x011A: { n:\"BrtBeginSXVI\" },\n0x011B: { n:\"BrtBeginSXVIs\" },\n0x011C: { n:\"BrtEndSXVIs\" },\n0x011D: { n:\"BrtBeginSXVD\" },\n0x011E: { n:\"BrtEndSXVD\" },\n0x011F: { n:\"BrtBeginSXVDs\" },\n0x0120: { n:\"BrtEndSXVDs\" },\n0x0121: { n:\"BrtBeginSXPI\" },\n0x0122: { n:\"BrtEndSXPI\" },\n0x0123: { n:\"BrtBeginSXPIs\" },\n0x0124: { n:\"BrtEndSXPIs\" },\n0x0125: { n:\"BrtBeginSXDI\" },\n0x0126: { n:\"BrtEndSXDI\" },\n0x0127: { n:\"BrtBeginSXDIs\" },\n0x0128: { n:\"BrtEndSXDIs\" },\n0x0129: { n:\"BrtBeginSXLI\" },\n0x012A: { n:\"BrtEndSXLI\" },\n0x012B: { n:\"BrtBeginSXLIRws\" },\n0x012C: { n:\"BrtEndSXLIRws\" },\n0x012D: { n:\"BrtBeginSXLICols\" },\n0x012E: { n:\"BrtEndSXLICols\" },\n0x012F: { n:\"BrtBeginSXFormat\" },\n0x0130: { n:\"BrtEndSXFormat\" },\n0x0131: { n:\"BrtBeginSXFormats\" },\n0x0132: { n:\"BrtEndSxFormats\" },\n0x0133: { n:\"BrtBeginSxSelect\" },\n0x0134: { n:\"BrtEndSxSelect\" },\n0x0135: { n:\"BrtBeginISXVDRws\" },\n0x0136: { n:\"BrtEndISXVDRws\" },\n0x0137: { n:\"BrtBeginISXVDCols\" },\n0x0138: { n:\"BrtEndISXVDCols\" },\n0x0139: { n:\"BrtEndSXLocation\" },\n0x013A: { n:\"BrtBeginSXLocation\" },\n0x013B: { n:\"BrtEndSXView\" },\n0x013C: { n:\"BrtBeginSXTHs\" },\n0x013D: { n:\"BrtEndSXTHs\" },\n0x013E: { n:\"BrtBeginSXTH\" },\n0x013F: { n:\"BrtEndSXTH\" },\n0x0140: { n:\"BrtBeginISXTHRws\" },\n0x0141: { n:\"BrtEndISXTHRws\" },\n0x0142: { n:\"BrtBeginISXTHCols\" },\n0x0143: { n:\"BrtEndISXTHCols\" },\n0x0144: { n:\"BrtBeginSXTDMPS\" },\n0x0145: { n:\"BrtEndSXTDMPs\" },\n0x0146: { n:\"BrtBeginSXTDMP\" },\n0x0147: { n:\"BrtEndSXTDMP\" },\n0x0148: { n:\"BrtBeginSXTHItems\" },\n0x0149: { n:\"BrtEndSXTHItems\" },\n0x014A: { n:\"BrtBeginSXTHItem\" },\n0x014B: { n:\"BrtEndSXTHItem\" },\n0x014C: { n:\"BrtBeginMetadata\" },\n0x014D: { n:\"BrtEndMetadata\" },\n0x014E: { n:\"BrtBeginEsmdtinfo\" },\n0x014F: { n:\"BrtMdtinfo\" },\n0x0150: { n:\"BrtEndEsmdtinfo\" },\n0x0151: { n:\"BrtBeginEsmdb\" },\n0x0152: { n:\"BrtEndEsmdb\" },\n0x0153: { n:\"BrtBeginEsfmd\" },\n0x0154: { n:\"BrtEndEsfmd\" },\n0x0155: { n:\"BrtBeginSingleCells\" },\n0x0156: { n:\"BrtEndSingleCells\" },\n0x0157: { n:\"BrtBeginList\" },\n0x0158: { n:\"BrtEndList\" },\n0x0159: { n:\"BrtBeginListCols\" },\n0x015A: { n:\"BrtEndListCols\" },\n0x015B: { n:\"BrtBeginListCol\" },\n0x015C: { n:\"BrtEndListCol\" },\n0x015D: { n:\"BrtBeginListXmlCPr\" },\n0x015E: { n:\"BrtEndListXmlCPr\" },\n0x015F: { n:\"BrtListCCFmla\" },\n0x0160: { n:\"BrtListTrFmla\" },\n0x0161: { n:\"BrtBeginExternals\" },\n0x0162: { n:\"BrtEndExternals\" },\n0x0163: { n:\"BrtSupBookSrc\", f:parse_RelID},\n0x0165: { n:\"BrtSupSelf\" },\n0x0166: { n:\"BrtSupSame\" },\n0x0167: { n:\"BrtSupTabs\" },\n0x0168: { n:\"BrtBeginSupBook\" },\n0x0169: { n:\"BrtPlaceholderName\" },\n0x016A: { n:\"BrtExternSheet\", f:parse_ExternSheet },\n0x016B: { n:\"BrtExternTableStart\" },\n0x016C: { n:\"BrtExternTableEnd\" },\n0x016E: { n:\"BrtExternRowHdr\" },\n0x016F: { n:\"BrtExternCellBlank\" },\n0x0170: { n:\"BrtExternCellReal\" },\n0x0171: { n:\"BrtExternCellBool\" },\n0x0172: { n:\"BrtExternCellError\" },\n0x0173: { n:\"BrtExternCellString\" },\n0x0174: { n:\"BrtBeginEsmdx\" },\n0x0175: { n:\"BrtEndEsmdx\" },\n0x0176: { n:\"BrtBeginMdxSet\" },\n0x0177: { n:\"BrtEndMdxSet\" },\n0x0178: { n:\"BrtBeginMdxMbrProp\" },\n0x0179: { n:\"BrtEndMdxMbrProp\" },\n0x017A: { n:\"BrtBeginMdxKPI\" },\n0x017B: { n:\"BrtEndMdxKPI\" },\n0x017C: { n:\"BrtBeginEsstr\" },\n0x017D: { n:\"BrtEndEsstr\" },\n0x017E: { n:\"BrtBeginPRFItem\" },\n0x017F: { n:\"BrtEndPRFItem\" },\n0x0180: { n:\"BrtBeginPivotCacheIDs\" },\n0x0181: { n:\"BrtEndPivotCacheIDs\" },\n0x0182: { n:\"BrtBeginPivotCacheID\" },\n0x0183: { n:\"BrtEndPivotCacheID\" },\n0x0184: { n:\"BrtBeginISXVIs\" },\n0x0185: { n:\"BrtEndISXVIs\" },\n0x0186: { n:\"BrtBeginColInfos\" },\n0x0187: { n:\"BrtEndColInfos\" },\n0x0188: { n:\"BrtBeginRwBrk\" },\n0x0189: { n:\"BrtEndRwBrk\" },\n0x018A: { n:\"BrtBeginColBrk\" },\n0x018B: { n:\"BrtEndColBrk\" },\n0x018C: { n:\"BrtBrk\" },\n0x018D: { n:\"BrtUserBookView\" },\n0x018E: { n:\"BrtInfo\" },\n0x018F: { n:\"BrtCUsr\" },\n0x0190: { n:\"BrtUsr\" },\n0x0191: { n:\"BrtBeginUsers\" },\n0x0193: { n:\"BrtEOF\" },\n0x0194: { n:\"BrtUCR\" },\n0x0195: { n:\"BrtRRInsDel\" },\n0x0196: { n:\"BrtRREndInsDel\" },\n0x0197: { n:\"BrtRRMove\" },\n0x0198: { n:\"BrtRREndMove\" },\n0x0199: { n:\"BrtRRChgCell\" },\n0x019A: { n:\"BrtRREndChgCell\" },\n0x019B: { n:\"BrtRRHeader\" },\n0x019C: { n:\"BrtRRUserView\" },\n0x019D: { n:\"BrtRRRenSheet\" },\n0x019E: { n:\"BrtRRInsertSh\" },\n0x019F: { n:\"BrtRRDefName\" },\n0x01A0: { n:\"BrtRRNote\" },\n0x01A1: { n:\"BrtRRConflict\" },\n0x01A2: { n:\"BrtRRTQSIF\" },\n0x01A3: { n:\"BrtRRFormat\" },\n0x01A4: { n:\"BrtRREndFormat\" },\n0x01A5: { n:\"BrtRRAutoFmt\" },\n0x01A6: { n:\"BrtBeginUserShViews\" },\n0x01A7: { n:\"BrtBeginUserShView\" },\n0x01A8: { n:\"BrtEndUserShView\" },\n0x01A9: { n:\"BrtEndUserShViews\" },\n0x01AA: { n:\"BrtArrFmla\", f:parse_BrtArrFmla },\n0x01AB: { n:\"BrtShrFmla\", f:parse_BrtShrFmla },\n0x01AC: { n:\"BrtTable\" },\n0x01AD: { n:\"BrtBeginExtConnections\" },\n0x01AE: { n:\"BrtEndExtConnections\" },\n0x01AF: { n:\"BrtBeginPCDCalcMems\" },\n0x01B0: { n:\"BrtEndPCDCalcMems\" },\n0x01B1: { n:\"BrtBeginPCDCalcMem\" },\n0x01B2: { n:\"BrtEndPCDCalcMem\" },\n0x01B3: { n:\"BrtBeginPCDHGLevels\" },\n0x01B4: { n:\"BrtEndPCDHGLevels\" },\n0x01B5: { n:\"BrtBeginPCDHGLevel\" },\n0x01B6: { n:\"BrtEndPCDHGLevel\" },\n0x01B7: { n:\"BrtBeginPCDHGLGroups\" },\n0x01B8: { n:\"BrtEndPCDHGLGroups\" },\n0x01B9: { n:\"BrtBeginPCDHGLGroup\" },\n0x01BA: { n:\"BrtEndPCDHGLGroup\" },\n0x01BB: { n:\"BrtBeginPCDHGLGMembers\" },\n0x01BC: { n:\"BrtEndPCDHGLGMembers\" },\n0x01BD: { n:\"BrtBeginPCDHGLGMember\" },\n0x01BE: { n:\"BrtEndPCDHGLGMember\" },\n0x01BF: { n:\"BrtBeginQSI\" },\n0x01C0: { n:\"BrtEndQSI\" },\n0x01C1: { n:\"BrtBeginQSIR\" },\n0x01C2: { n:\"BrtEndQSIR\" },\n0x01C3: { n:\"BrtBeginDeletedNames\" },\n0x01C4: { n:\"BrtEndDeletedNames\" },\n0x01C5: { n:\"BrtBeginDeletedName\" },\n0x01C6: { n:\"BrtEndDeletedName\" },\n0x01C7: { n:\"BrtBeginQSIFs\" },\n0x01C8: { n:\"BrtEndQSIFs\" },\n0x01C9: { n:\"BrtBeginQSIF\" },\n0x01CA: { n:\"BrtEndQSIF\" },\n0x01CB: { n:\"BrtBeginAutoSortScope\" },\n0x01CC: { n:\"BrtEndAutoSortScope\" },\n0x01CD: { n:\"BrtBeginConditionalFormatting\" },\n0x01CE: { n:\"BrtEndConditionalFormatting\" },\n0x01CF: { n:\"BrtBeginCFRule\" },\n0x01D0: { n:\"BrtEndCFRule\" },\n0x01D1: { n:\"BrtBeginIconSet\" },\n0x01D2: { n:\"BrtEndIconSet\" },\n0x01D3: { n:\"BrtBeginDatabar\" },\n0x01D4: { n:\"BrtEndDatabar\" },\n0x01D5: { n:\"BrtBeginColorScale\" },\n0x01D6: { n:\"BrtEndColorScale\" },\n0x01D7: { n:\"BrtCFVO\" },\n0x01D8: { n:\"BrtExternValueMeta\" },\n0x01D9: { n:\"BrtBeginColorPalette\" },\n0x01DA: { n:\"BrtEndColorPalette\" },\n0x01DB: { n:\"BrtIndexedColor\" },\n0x01DC: { n:\"BrtMargins\", f:parse_BrtMargins },\n0x01DD: { n:\"BrtPrintOptions\" },\n0x01DE: { n:\"BrtPageSetup\" },\n0x01DF: { n:\"BrtBeginHeaderFooter\" },\n0x01E0: { n:\"BrtEndHeaderFooter\" },\n0x01E1: { n:\"BrtBeginSXCrtFormat\" },\n0x01E2: { n:\"BrtEndSXCrtFormat\" },\n0x01E3: { n:\"BrtBeginSXCrtFormats\" },\n0x01E4: { n:\"BrtEndSXCrtFormats\" },\n0x01E5: { n:\"BrtWsFmtInfo\", f:parse_BrtWsFmtInfo },\n0x01E6: { n:\"BrtBeginMgs\" },\n0x01E7: { n:\"BrtEndMGs\" },\n0x01E8: { n:\"BrtBeginMGMaps\" },\n0x01E9: { n:\"BrtEndMGMaps\" },\n0x01EA: { n:\"BrtBeginMG\" },\n0x01EB: { n:\"BrtEndMG\" },\n0x01EC: { n:\"BrtBeginMap\" },\n0x01ED: { n:\"BrtEndMap\" },\n0x01EE: { n:\"BrtHLink\", f:parse_BrtHLink },\n0x01EF: { n:\"BrtBeginDCon\" },\n0x01F0: { n:\"BrtEndDCon\" },\n0x01F1: { n:\"BrtBeginDRefs\" },\n0x01F2: { n:\"BrtEndDRefs\" },\n0x01F3: { n:\"BrtDRef\" },\n0x01F4: { n:\"BrtBeginScenMan\" },\n0x01F5: { n:\"BrtEndScenMan\" },\n0x01F6: { n:\"BrtBeginSct\" },\n0x01F7: { n:\"BrtEndSct\" },\n0x01F8: { n:\"BrtSlc\" },\n0x01F9: { n:\"BrtBeginDXFs\" },\n0x01FA: { n:\"BrtEndDXFs\" },\n0x01FB: { n:\"BrtDXF\" },\n0x01FC: { n:\"BrtBeginTableStyles\" },\n0x01FD: { n:\"BrtEndTableStyles\" },\n0x01FE: { n:\"BrtBeginTableStyle\" },\n0x01FF: { n:\"BrtEndTableStyle\" },\n0x0200: { n:\"BrtTableStyleElement\" },\n0x0201: { n:\"BrtTableStyleClient\" },\n0x0202: { n:\"BrtBeginVolDeps\" },\n0x0203: { n:\"BrtEndVolDeps\" },\n0x0204: { n:\"BrtBeginVolType\" },\n0x0205: { n:\"BrtEndVolType\" },\n0x0206: { n:\"BrtBeginVolMain\" },\n0x0207: { n:\"BrtEndVolMain\" },\n0x0208: { n:\"BrtBeginVolTopic\" },\n0x0209: { n:\"BrtEndVolTopic\" },\n0x020A: { n:\"BrtVolSubtopic\" },\n0x020B: { n:\"BrtVolRef\" },\n0x020C: { n:\"BrtVolNum\" },\n0x020D: { n:\"BrtVolErr\" },\n0x020E: { n:\"BrtVolStr\" },\n0x020F: { n:\"BrtVolBool\" },\n0x0210: { n:\"BrtBeginCalcChain$\" },\n0x0211: { n:\"BrtEndCalcChain$\" },\n0x0212: { n:\"BrtBeginSortState\" },\n0x0213: { n:\"BrtEndSortState\" },\n0x0214: { n:\"BrtBeginSortCond\" },\n0x0215: { n:\"BrtEndSortCond\" },\n0x0216: { n:\"BrtBookProtection\" },\n0x0217: { n:\"BrtSheetProtection\" },\n0x0218: { n:\"BrtRangeProtection\" },\n0x0219: { n:\"BrtPhoneticInfo\" },\n0x021A: { n:\"BrtBeginECTxtWiz\" },\n0x021B: { n:\"BrtEndECTxtWiz\" },\n0x021C: { n:\"BrtBeginECTWFldInfoLst\" },\n0x021D: { n:\"BrtEndECTWFldInfoLst\" },\n0x021E: { n:\"BrtBeginECTwFldInfo\" },\n0x0224: { n:\"BrtFileSharing\" },\n0x0225: { n:\"BrtOleSize\" },\n0x0226: { n:\"BrtDrawing\", f:parse_RelID },\n0x0227: { n:\"BrtLegacyDrawing\" },\n0x0228: { n:\"BrtLegacyDrawingHF\" },\n0x0229: { n:\"BrtWebOpt\" },\n0x022A: { n:\"BrtBeginWebPubItems\" },\n0x022B: { n:\"BrtEndWebPubItems\" },\n0x022C: { n:\"BrtBeginWebPubItem\" },\n0x022D: { n:\"BrtEndWebPubItem\" },\n0x022E: { n:\"BrtBeginSXCondFmt\" },\n0x022F: { n:\"BrtEndSXCondFmt\" },\n0x0230: { n:\"BrtBeginSXCondFmts\" },\n0x0231: { n:\"BrtEndSXCondFmts\" },\n0x0232: { n:\"BrtBkHim\" },\n0x0234: { n:\"BrtColor\" },\n0x0235: { n:\"BrtBeginIndexedColors\" },\n0x0236: { n:\"BrtEndIndexedColors\" },\n0x0239: { n:\"BrtBeginMRUColors\" },\n0x023A: { n:\"BrtEndMRUColors\" },\n0x023C: { n:\"BrtMRUColor\" },\n0x023D: { n:\"BrtBeginDVals\" },\n0x023E: { n:\"BrtEndDVals\" },\n0x0241: { n:\"BrtSupNameStart\" },\n0x0242: { n:\"BrtSupNameValueStart\" },\n0x0243: { n:\"BrtSupNameValueEnd\" },\n0x0244: { n:\"BrtSupNameNum\" },\n0x0245: { n:\"BrtSupNameErr\" },\n0x0246: { n:\"BrtSupNameSt\" },\n0x0247: { n:\"BrtSupNameNil\" },\n0x0248: { n:\"BrtSupNameBool\" },\n0x0249: { n:\"BrtSupNameFmla\" },\n0x024A: { n:\"BrtSupNameBits\" },\n0x024B: { n:\"BrtSupNameEnd\" },\n0x024C: { n:\"BrtEndSupBook\" },\n0x024D: { n:\"BrtCellSmartTagProperty\" },\n0x024E: { n:\"BrtBeginCellSmartTag\" },\n0x024F: { n:\"BrtEndCellSmartTag\" },\n0x0250: { n:\"BrtBeginCellSmartTags\" },\n0x0251: { n:\"BrtEndCellSmartTags\" },\n0x0252: { n:\"BrtBeginSmartTags\" },\n0x0253: { n:\"BrtEndSmartTags\" },\n0x0254: { n:\"BrtSmartTagType\" },\n0x0255: { n:\"BrtBeginSmartTagTypes\" },\n0x0256: { n:\"BrtEndSmartTagTypes\" },\n0x0257: { n:\"BrtBeginSXFilters\" },\n0x0258: { n:\"BrtEndSXFilters\" },\n0x0259: { n:\"BrtBeginSXFILTER\" },\n0x025A: { n:\"BrtEndSXFilter\" },\n0x025B: { n:\"BrtBeginFills\" },\n0x025C: { n:\"BrtEndFills\" },\n0x025D: { n:\"BrtBeginCellWatches\" },\n0x025E: { n:\"BrtEndCellWatches\" },\n0x025F: { n:\"BrtCellWatch\" },\n0x0260: { n:\"BrtBeginCRErrs\" },\n0x0261: { n:\"BrtEndCRErrs\" },\n0x0262: { n:\"BrtCrashRecErr\" },\n0x0263: { n:\"BrtBeginFonts\" },\n0x0264: { n:\"BrtEndFonts\" },\n0x0265: { n:\"BrtBeginBorders\" },\n0x0266: { n:\"BrtEndBorders\" },\n0x0267: { n:\"BrtBeginFmts\" },\n0x0268: { n:\"BrtEndFmts\" },\n0x0269: { n:\"BrtBeginCellXFs\" },\n0x026A: { n:\"BrtEndCellXFs\" },\n0x026B: { n:\"BrtBeginStyles\" },\n0x026C: { n:\"BrtEndStyles\" },\n0x0271: { n:\"BrtBigName\" },\n0x0272: { n:\"BrtBeginCellStyleXFs\" },\n0x0273: { n:\"BrtEndCellStyleXFs\" },\n0x0274: { n:\"BrtBeginComments\" },\n0x0275: { n:\"BrtEndComments\" },\n0x0276: { n:\"BrtBeginCommentAuthors\" },\n0x0277: { n:\"BrtEndCommentAuthors\" },\n0x0278: { n:\"BrtCommentAuthor\", f:parse_BrtCommentAuthor },\n0x0279: { n:\"BrtBeginCommentList\" },\n0x027A: { n:\"BrtEndCommentList\" },\n0x027B: { n:\"BrtBeginComment\", f:parse_BrtBeginComment},\n0x027C: { n:\"BrtEndComment\" },\n0x027D: { n:\"BrtCommentText\", f:parse_BrtCommentText },\n0x027E: { n:\"BrtBeginOleObjects\" },\n0x027F: { n:\"BrtOleObject\" },\n0x0280: { n:\"BrtEndOleObjects\" },\n0x0281: { n:\"BrtBeginSxrules\" },\n0x0282: { n:\"BrtEndSxRules\" },\n0x0283: { n:\"BrtBeginActiveXControls\" },\n0x0284: { n:\"BrtActiveX\" },\n0x0285: { n:\"BrtEndActiveXControls\" },\n0x0286: { n:\"BrtBeginPCDSDTCEMembersSortBy\" },\n0x0288: { n:\"BrtBeginCellIgnoreECs\" },\n0x0289: { n:\"BrtCellIgnoreEC\" },\n0x028A: { n:\"BrtEndCellIgnoreECs\" },\n0x028B: { n:\"BrtCsProp\", f:parse_BrtCsProp },\n0x028C: { n:\"BrtCsPageSetup\" },\n0x028D: { n:\"BrtBeginUserCsViews\" },\n0x028E: { n:\"BrtEndUserCsViews\" },\n0x028F: { n:\"BrtBeginUserCsView\" },\n0x0290: { n:\"BrtEndUserCsView\" },\n0x0291: { n:\"BrtBeginPcdSFCIEntries\" },\n0x0292: { n:\"BrtEndPCDSFCIEntries\" },\n0x0293: { n:\"BrtPCDSFCIEntry\" },\n0x0294: { n:\"BrtBeginListParts\" },\n0x0295: { n:\"BrtListPart\" },\n0x0296: { n:\"BrtEndListParts\" },\n0x0297: { n:\"BrtSheetCalcProp\" },\n0x0298: { n:\"BrtBeginFnGroup\" },\n0x0299: { n:\"BrtFnGroup\" },\n0x029A: { n:\"BrtEndFnGroup\" },\n0x029B: { n:\"BrtSupAddin\" },\n0x029C: { n:\"BrtSXTDMPOrder\" },\n0x029D: { n:\"BrtCsProtection\" },\n0x029F: { n:\"BrtBeginWsSortMap\" },\n0x02A0: { n:\"BrtEndWsSortMap\" },\n0x02A1: { n:\"BrtBeginRRSort\" },\n0x02A2: { n:\"BrtEndRRSort\" },\n0x02A3: { n:\"BrtRRSortItem\" },\n0x02A4: { n:\"BrtFileSharingIso\" },\n0x02A5: { n:\"BrtBookProtectionIso\" },\n0x02A6: { n:\"BrtSheetProtectionIso\" },\n0x02A7: { n:\"BrtCsProtectionIso\" },\n0x02A8: { n:\"BrtRangeProtectionIso\" },\n0x02A9: { n:\"BrtDValList\" },\n0x0400: { n:\"BrtRwDescent\" },\n0x0401: { n:\"BrtKnownFonts\" },\n0x0402: { n:\"BrtBeginSXTupleSet\" },\n0x0403: { n:\"BrtEndSXTupleSet\" },\n0x0404: { n:\"BrtBeginSXTupleSetHeader\" },\n0x0405: { n:\"BrtEndSXTupleSetHeader\" },\n0x0406: { n:\"BrtSXTupleSetHeaderItem\" },\n0x0407: { n:\"BrtBeginSXTupleSetData\" },\n0x0408: { n:\"BrtEndSXTupleSetData\" },\n0x0409: { n:\"BrtBeginSXTupleSetRow\" },\n0x040A: { n:\"BrtEndSXTupleSetRow\" },\n0x040B: { n:\"BrtSXTupleSetRowItem\" },\n0x040C: { n:\"BrtNameExt\" },\n0x040D: { n:\"BrtPCDH14\" },\n0x040E: { n:\"BrtBeginPCDCalcMem14\" },\n0x040F: { n:\"BrtEndPCDCalcMem14\" },\n0x0410: { n:\"BrtSXTH14\" },\n0x0411: { n:\"BrtBeginSparklineGroup\" },\n0x0412: { n:\"BrtEndSparklineGroup\" },\n0x0413: { n:\"BrtSparkline\" },\n0x0414: { n:\"BrtSXDI14\" },\n0x0415: { n:\"BrtWsFmtInfoEx14\" },\n0x0416: { n:\"BrtBeginConditionalFormatting14\" },\n0x0417: { n:\"BrtEndConditionalFormatting14\" },\n0x0418: { n:\"BrtBeginCFRule14\" },\n0x0419: { n:\"BrtEndCFRule14\" },\n0x041A: { n:\"BrtCFVO14\" },\n0x041B: { n:\"BrtBeginDatabar14\" },\n0x041C: { n:\"BrtBeginIconSet14\" },\n0x041D: { n:\"BrtDVal14\", f: parse_BrtDVal14 },\n0x041E: { n:\"BrtBeginDVals14\" },\n0x041F: { n:\"BrtColor14\" },\n0x0420: { n:\"BrtBeginSparklines\" },\n0x0421: { n:\"BrtEndSparklines\" },\n0x0422: { n:\"BrtBeginSparklineGroups\" },\n0x0423: { n:\"BrtEndSparklineGroups\" },\n0x0425: { n:\"BrtSXVD14\" },\n0x0426: { n:\"BrtBeginSXView14\" },\n0x0427: { n:\"BrtEndSXView14\" },\n0x0428: { n:\"BrtBeginSXView16\" },\n0x0429: { n:\"BrtEndSXView16\" },\n0x042A: { n:\"BrtBeginPCD14\" },\n0x042B: { n:\"BrtEndPCD14\" },\n0x042C: { n:\"BrtBeginExtConn14\" },\n0x042D: { n:\"BrtEndExtConn14\" },\n0x042E: { n:\"BrtBeginSlicerCacheIDs\" },\n0x042F: { n:\"BrtEndSlicerCacheIDs\" },\n0x0430: { n:\"BrtBeginSlicerCacheID\" },\n0x0431: { n:\"BrtEndSlicerCacheID\" },\n0x0433: { n:\"BrtBeginSlicerCache\" },\n0x0434: { n:\"BrtEndSlicerCache\" },\n0x0435: { n:\"BrtBeginSlicerCacheDef\" },\n0x0436: { n:\"BrtEndSlicerCacheDef\" },\n0x0437: { n:\"BrtBeginSlicersEx\" },\n0x0438: { n:\"BrtEndSlicersEx\" },\n0x0439: { n:\"BrtBeginSlicerEx\" },\n0x043A: { n:\"BrtEndSlicerEx\" },\n0x043B: { n:\"BrtBeginSlicer\" },\n0x043C: { n:\"BrtEndSlicer\" },\n0x043D: { n:\"BrtSlicerCachePivotTables\" },\n0x043E: { n:\"BrtBeginSlicerCacheOlapImpl\" },\n0x043F: { n:\"BrtEndSlicerCacheOlapImpl\" },\n0x0440: { n:\"BrtBeginSlicerCacheLevelsData\" },\n0x0441: { n:\"BrtEndSlicerCacheLevelsData\" },\n0x0442: { n:\"BrtBeginSlicerCacheLevelData\" },\n0x0443: { n:\"BrtEndSlicerCacheLevelData\" },\n0x0444: { n:\"BrtBeginSlicerCacheSiRanges\" },\n0x0445: { n:\"BrtEndSlicerCacheSiRanges\" },\n0x0446: { n:\"BrtBeginSlicerCacheSiRange\" },\n0x0447: { n:\"BrtEndSlicerCacheSiRange\" },\n0x0448: { n:\"BrtSlicerCacheOlapItem\" },\n0x0449: { n:\"BrtBeginSlicerCacheSelections\" },\n0x044A: { n:\"BrtSlicerCacheSelection\" },\n0x044B: { n:\"BrtEndSlicerCacheSelections\" },\n0x044C: { n:\"BrtBeginSlicerCacheNative\" },\n0x044D: { n:\"BrtEndSlicerCacheNative\" },\n0x044E: { n:\"BrtSlicerCacheNativeItem\" },\n0x044F: { n:\"BrtRangeProtection14\" },\n0x0450: { n:\"BrtRangeProtectionIso14\" },\n0x0451: { n:\"BrtCellIgnoreEC14\" },\n0x0457: { n:\"BrtList14\" },\n0x0458: { n:\"BrtCFIcon\" },\n0x0459: { n:\"BrtBeginSlicerCachesPivotCacheIDs\" },\n0x045A: { n:\"BrtEndSlicerCachesPivotCacheIDs\" },\n0x045B: { n:\"BrtBeginSlicers\" },\n0x045C: { n:\"BrtEndSlicers\" },\n0x045D: { n:\"BrtWbProp14\" },\n0x045E: { n:\"BrtBeginSXEdit\" },\n0x045F: { n:\"BrtEndSXEdit\" },\n0x0460: { n:\"BrtBeginSXEdits\" },\n0x0461: { n:\"BrtEndSXEdits\" },\n0x0462: { n:\"BrtBeginSXChange\" },\n0x0463: { n:\"BrtEndSXChange\" },\n0x0464: { n:\"BrtBeginSXChanges\" },\n0x0465: { n:\"BrtEndSXChanges\" },\n0x0466: { n:\"BrtSXTupleItems\" },\n0x0468: { n:\"BrtBeginSlicerStyle\" },\n0x0469: { n:\"BrtEndSlicerStyle\" },\n0x046A: { n:\"BrtSlicerStyleElement\" },\n0x046B: { n:\"BrtBeginStyleSheetExt14\" },\n0x046C: { n:\"BrtEndStyleSheetExt14\" },\n0x046D: { n:\"BrtBeginSlicerCachesPivotCacheID\" },\n0x046E: { n:\"BrtEndSlicerCachesPivotCacheID\" },\n0x046F: { n:\"BrtBeginConditionalFormattings\" },\n0x0470: { n:\"BrtEndConditionalFormattings\" },\n0x0471: { n:\"BrtBeginPCDCalcMemExt\" },\n0x0472: { n:\"BrtEndPCDCalcMemExt\" },\n0x0473: { n:\"BrtBeginPCDCalcMemsExt\" },\n0x0474: { n:\"BrtEndPCDCalcMemsExt\" },\n0x0475: { n:\"BrtPCDField14\" },\n0x0476: { n:\"BrtBeginSlicerStyles\" },\n0x0477: { n:\"BrtEndSlicerStyles\" },\n0x0478: { n:\"BrtBeginSlicerStyleElements\" },\n0x0479: { n:\"BrtEndSlicerStyleElements\" },\n0x047A: { n:\"BrtCFRuleExt\" },\n0x047B: { n:\"BrtBeginSXCondFmt14\" },\n0x047C: { n:\"BrtEndSXCondFmt14\" },\n0x047D: { n:\"BrtBeginSXCondFmts14\" },\n0x047E: { n:\"BrtEndSXCondFmts14\" },\n0x0480: { n:\"BrtBeginSortCond14\" },\n0x0481: { n:\"BrtEndSortCond14\" },\n0x0482: { n:\"BrtEndDVals14\" },\n0x0483: { n:\"BrtEndIconSet14\" },\n0x0484: { n:\"BrtEndDatabar14\" },\n0x0485: { n:\"BrtBeginColorScale14\" },\n0x0486: { n:\"BrtEndColorScale14\" },\n0x0487: { n:\"BrtBeginSxrules14\" },\n0x0488: { n:\"BrtEndSxrules14\" },\n0x0489: { n:\"BrtBeginPRule14\" },\n0x048A: { n:\"BrtEndPRule14\" },\n0x048B: { n:\"BrtBeginPRFilters14\" },\n0x048C: { n:\"BrtEndPRFilters14\" },\n0x048D: { n:\"BrtBeginPRFilter14\" },\n0x048E: { n:\"BrtEndPRFilter14\" },\n0x048F: { n:\"BrtBeginPRFItem14\" },\n0x0490: { n:\"BrtEndPRFItem14\" },\n0x0491: { n:\"BrtBeginCellIgnoreECs14\" },\n0x0492: { n:\"BrtEndCellIgnoreECs14\" },\n0x0493: { n:\"BrtDxf14\" },\n0x0494: { n:\"BrtBeginDxF14s\" },\n0x0495: { n:\"BrtEndDxf14s\" },\n0x0499: { n:\"BrtFilter14\" },\n0x049A: { n:\"BrtBeginCustomFilters14\" },\n0x049C: { n:\"BrtCustomFilter14\" },\n0x049D: { n:\"BrtIconFilter14\" },\n0x049E: { n:\"BrtPivotCacheConnectionName\" },\n0x0800: { n:\"BrtBeginDecoupledPivotCacheIDs\" },\n0x0801: { n:\"BrtEndDecoupledPivotCacheIDs\" },\n0x0802: { n:\"BrtDecoupledPivotCacheID\" },\n0x0803: { n:\"BrtBeginPivotTableRefs\" },\n0x0804: { n:\"BrtEndPivotTableRefs\" },\n0x0805: { n:\"BrtPivotTableRef\" },\n0x0806: { n:\"BrtSlicerCacheBookPivotTables\" },\n0x0807: { n:\"BrtBeginSxvcells\" },\n0x0808: { n:\"BrtEndSxvcells\" },\n0x0809: { n:\"BrtBeginSxRow\" },\n0x080A: { n:\"BrtEndSxRow\" },\n0x080C: { n:\"BrtPcdCalcMem15\" },\n0x0813: { n:\"BrtQsi15\" },\n0x0814: { n:\"BrtBeginWebExtensions\" },\n0x0815: { n:\"BrtEndWebExtensions\" },\n0x0816: { n:\"BrtWebExtension\" },\n0x0817: { n:\"BrtAbsPath15\" },\n0x0818: { n:\"BrtBeginPivotTableUISettings\" },\n0x0819: { n:\"BrtEndPivotTableUISettings\" },\n0x081B: { n:\"BrtTableSlicerCacheIDs\" },\n0x081C: { n:\"BrtTableSlicerCacheID\" },\n0x081D: { n:\"BrtBeginTableSlicerCache\" },\n0x081E: { n:\"BrtEndTableSlicerCache\" },\n0x081F: { n:\"BrtSxFilter15\" },\n0x0820: { n:\"BrtBeginTimelineCachePivotCacheIDs\" },\n0x0821: { n:\"BrtEndTimelineCachePivotCacheIDs\" },\n0x0822: { n:\"BrtTimelineCachePivotCacheID\" },\n0x0823: { n:\"BrtBeginTimelineCacheIDs\" },\n0x0824: { n:\"BrtEndTimelineCacheIDs\" },\n0x0825: { n:\"BrtBeginTimelineCacheID\" },\n0x0826: { n:\"BrtEndTimelineCacheID\" },\n0x0827: { n:\"BrtBeginTimelinesEx\" },\n0x0828: { n:\"BrtEndTimelinesEx\" },\n0x0829: { n:\"BrtBeginTimelineEx\" },\n0x082A: { n:\"BrtEndTimelineEx\" },\n0x082B: { n:\"BrtWorkBookPr15\" },\n0x082C: { n:\"BrtPCDH15\" },\n0x082D: { n:\"BrtBeginTimelineStyle\" },\n0x082E: { n:\"BrtEndTimelineStyle\" },\n0x082F: { n:\"BrtTimelineStyleElement\" },\n0x0830: { n:\"BrtBeginTimelineStylesheetExt15\" },\n0x0831: { n:\"BrtEndTimelineStylesheetExt15\" },\n0x0832: { n:\"BrtBeginTimelineStyles\" },\n0x0833: { n:\"BrtEndTimelineStyles\" },\n0x0834: { n:\"BrtBeginTimelineStyleElements\" },\n0x0835: { n:\"BrtEndTimelineStyleElements\" },\n0x0836: { n:\"BrtDxf15\" },\n0x0837: { n:\"BrtBeginDxfs15\" },\n0x0838: { n:\"brtEndDxfs15\" },\n0x0839: { n:\"BrtSlicerCacheHideItemsWithNoData\" },\n0x083A: { n:\"BrtBeginItemUniqueNames\" },\n0x083B: { n:\"BrtEndItemUniqueNames\" },\n0x083C: { n:\"BrtItemUniqueName\" },\n0x083D: { n:\"BrtBeginExtConn15\" },\n0x083E: { n:\"BrtEndExtConn15\" },\n0x083F: { n:\"BrtBeginOledbPr15\" },\n0x0840: { n:\"BrtEndOledbPr15\" },\n0x0841: { n:\"BrtBeginDataFeedPr15\" },\n0x0842: { n:\"BrtEndDataFeedPr15\" },\n0x0843: { n:\"BrtTextPr15\" },\n0x0844: { n:\"BrtRangePr15\" },\n0x0845: { n:\"BrtDbCommand15\" },\n0x0846: { n:\"BrtBeginDbTables15\" },\n0x0847: { n:\"BrtEndDbTables15\" },\n0x0848: { n:\"BrtDbTable15\" },\n0x0849: { n:\"BrtBeginDataModel\" },\n0x084A: { n:\"BrtEndDataModel\" },\n0x084B: { n:\"BrtBeginModelTables\" },\n0x084C: { n:\"BrtEndModelTables\" },\n0x084D: { n:\"BrtModelTable\" },\n0x084E: { n:\"BrtBeginModelRelationships\" },\n0x084F: { n:\"BrtEndModelRelationships\" },\n0x0850: { n:\"BrtModelRelationship\" },\n0x0851: { n:\"BrtBeginECTxtWiz15\" },\n0x0852: { n:\"BrtEndECTxtWiz15\" },\n0x0853: { n:\"BrtBeginECTWFldInfoLst15\" },\n0x0854: { n:\"BrtEndECTWFldInfoLst15\" },\n0x0855: { n:\"BrtBeginECTWFldInfo15\" },\n0x0856: { n:\"BrtFieldListActiveItem\" },\n0x0857: { n:\"BrtPivotCacheIdVersion\" },\n0x0858: { n:\"BrtSXDI15\" },\n0x0859: { n:\"BrtBeginModelTimeGroupings\" },\n0x085A: { n:\"BrtEndModelTimeGroupings\" },\n0x085B: { n:\"BrtBeginModelTimeGrouping\" },\n0x085C: { n:\"BrtEndModelTimeGrouping\" },\n0x085D: { n:\"BrtModelTimeGroupingCalcCol\" },\n0x0C00: { n:\"BrtUid\" },\n0x0C01: { n:\"BrtRevisionPtr\" },\n0x13e7: { n:\"BrtBeginCalcFeatures\" },\n0x13e8: { n:\"BrtEndCalcFeatures\" },\n0x13e9: { n:\"BrtCalcFeature\" },\n0xFFFF: { n:\"\" }\n};\n\nvar XLSBRE = evert_key(XLSBRecordEnum, 'n');\n\n/* [MS-XLS] 2.3 Record Enumeration */\nvar XLSRecordEnum = {\n0x0003: { n:\"BIFF2NUM\", f:parse_BIFF2NUM },\n0x0004: { n:\"BIFF2STR\", f:parse_BIFF2STR },\n0x0006: { n:\"Formula\", f:parse_Formula },\n0x0009: { n:'BOF', f:parse_BOF },\n0x000a: { n:'EOF', f:parsenoop2 },\n0x000c: { n:\"CalcCount\", f:parseuint16 },\n0x000d: { n:\"CalcMode\", f:parseuint16 },\n0x000e: { n:\"CalcPrecision\", f:parsebool },\n0x000f: { n:\"CalcRefMode\", f:parsebool },\n0x0010: { n:\"CalcDelta\", f:parse_Xnum },\n0x0011: { n:\"CalcIter\", f:parsebool },\n0x0012: { n:\"Protect\", f:parsebool },\n0x0013: { n:\"Password\", f:parseuint16 },\n0x0014: { n:\"Header\", f:parse_XLHeaderFooter },\n0x0015: { n:\"Footer\", f:parse_XLHeaderFooter },\n0x0017: { n:\"ExternSheet\", f:parse_ExternSheet },\n0x0018: { n:\"Lbl\", f:parse_Lbl },\n0x0019: { n:\"WinProtect\", f:parsebool },\n0x001a: { n:\"VerticalPageBreaks\" },\n0x001b: { n:\"HorizontalPageBreaks\" },\n0x001c: { n:\"Note\", f:parse_Note },\n0x001d: { n:\"Selection\" },\n0x0022: { n:\"Date1904\", f:parsebool },\n0x0023: { n:\"ExternName\", f:parse_ExternName },\n0x0024: { n:\"COLWIDTH\" },\n0x0026: { n:\"LeftMargin\", f:parse_Xnum },\n0x0027: { n:\"RightMargin\", f:parse_Xnum },\n0x0028: { n:\"TopMargin\", f:parse_Xnum },\n0x0029: { n:\"BottomMargin\", f:parse_Xnum },\n0x002a: { n:\"PrintRowCol\", f:parsebool },\n0x002b: { n:\"PrintGrid\", f:parsebool },\n0x002f: { n:\"FilePass\", f:parse_FilePass },\n0x0031: { n:\"Font\", f:parse_Font },\n0x0033: { n:\"PrintSize\", f:parseuint16 },\n0x003c: { n:\"Continue\" },\n0x003d: { n:\"Window1\", f:parse_Window1 },\n0x0040: { n:\"Backup\", f:parsebool },\n0x0041: { n:\"Pane\", f:parse_Pane },\n0x0042: { n:'CodePage', f:parseuint16 },\n0x004d: { n:\"Pls\" },\n0x0050: { n:\"DCon\" },\n0x0051: { n:\"DConRef\" },\n0x0052: { n:\"DConName\" },\n0x0055: { n:\"DefColWidth\", f:parseuint16 },\n0x0059: { n:\"XCT\" },\n0x005a: { n:\"CRN\" },\n0x005b: { n:\"FileSharing\" },\n0x005c: { n:'WriteAccess', f:parse_WriteAccess },\n0x005d: { n:\"Obj\", f:parse_Obj },\n0x005e: { n:\"Uncalced\" },\n0x005f: { n:\"CalcSaveRecalc\", f:parsebool },\n0x0060: { n:\"Template\" },\n0x0061: { n:\"Intl\" },\n0x0063: { n:\"ObjProtect\", f:parsebool },\n0x007d: { n:\"ColInfo\", f:parse_ColInfo },\n0x0080: { n:\"Guts\", f:parse_Guts },\n0x0081: { n:\"WsBool\", f:parse_WsBool },\n0x0082: { n:\"GridSet\", f:parseuint16 },\n0x0083: { n:\"HCenter\", f:parsebool },\n0x0084: { n:\"VCenter\", f:parsebool },\n0x0085: { n:'BoundSheet8', f:parse_BoundSheet8 },\n0x0086: { n:\"WriteProtect\" },\n0x008c: { n:\"Country\", f:parse_Country },\n0x008d: { n:\"HideObj\", f:parseuint16 },\n0x0090: { n:\"Sort\" },\n0x0092: { n:\"Palette\", f:parse_Palette },\n0x0097: { n:\"Sync\" },\n0x0098: { n:\"LPr\" },\n0x0099: { n:\"DxGCol\" },\n0x009a: { n:\"FnGroupName\" },\n0x009b: { n:\"FilterMode\" },\n0x009c: { n:\"BuiltInFnGroupCount\", f:parseuint16 },\n0x009d: { n:\"AutoFilterInfo\" },\n0x009e: { n:\"AutoFilter\" },\n0x00a0: { n:\"Scl\", f:parse_Scl },\n0x00a1: { n:\"Setup\", f:parse_Setup },\n0x00ae: { n:\"ScenMan\" },\n0x00af: { n:\"SCENARIO\" },\n0x00b0: { n:\"SxView\" },\n0x00b1: { n:\"Sxvd\" },\n0x00b2: { n:\"SXVI\" },\n0x00b4: { n:\"SxIvd\" },\n0x00b5: { n:\"SXLI\" },\n0x00b6: { n:\"SXPI\" },\n0x00b8: { n:\"DocRoute\" },\n0x00b9: { n:\"RecipName\" },\n0x00bd: { n:\"MulRk\", f:parse_MulRk },\n0x00be: { n:\"MulBlank\", f:parse_MulBlank },\n0x00c1: { n:'Mms', f:parsenoop2 },\n0x00c5: { n:\"SXDI\" },\n0x00c6: { n:\"SXDB\" },\n0x00c7: { n:\"SXFDB\" },\n0x00c8: { n:\"SXDBB\" },\n0x00c9: { n:\"SXNum\" },\n0x00ca: { n:\"SxBool\", f:parsebool },\n0x00cb: { n:\"SxErr\" },\n0x00cc: { n:\"SXInt\" },\n0x00cd: { n:\"SXString\" },\n0x00ce: { n:\"SXDtr\" },\n0x00cf: { n:\"SxNil\" },\n0x00d0: { n:\"SXTbl\" },\n0x00d1: { n:\"SXTBRGIITM\" },\n0x00d2: { n:\"SxTbpg\" },\n0x00d3: { n:\"ObProj\" },\n0x00d5: { n:\"SXStreamID\" },\n0x00d7: { n:\"DBCell\" },\n0x00d8: { n:\"SXRng\" },\n0x00d9: { n:\"SxIsxoper\" },\n0x00da: { n:\"BookBool\", f:parseuint16 },\n0x00dc: { n:\"DbOrParamQry\" },\n0x00dd: { n:\"ScenarioProtect\", f:parsebool },\n0x00de: { n:\"OleObjectSize\" },\n0x00e0: { n:\"XF\", f:parse_XF },\n0x00e1: { n:'InterfaceHdr', f:parse_InterfaceHdr },\n0x00e2: { n:'InterfaceEnd', f:parsenoop2 },\n0x00e3: { n:\"SXVS\" },\n0x00e5: { n:\"MergeCells\", f:parse_MergeCells },\n0x00e9: { n:\"BkHim\" },\n0x00eb: { n:\"MsoDrawingGroup\" },\n0x00ec: { n:\"MsoDrawing\" },\n0x00ed: { n:\"MsoDrawingSelection\" },\n0x00ef: { n:\"PhoneticInfo\" },\n0x00f0: { n:\"SxRule\" },\n0x00f1: { n:\"SXEx\" },\n0x00f2: { n:\"SxFilt\" },\n0x00f4: { n:\"SxDXF\" },\n0x00f5: { n:\"SxItm\" },\n0x00f6: { n:\"SxName\" },\n0x00f7: { n:\"SxSelect\" },\n0x00f8: { n:\"SXPair\" },\n0x00f9: { n:\"SxFmla\" },\n0x00fb: { n:\"SxFormat\" },\n0x00fc: { n:\"SST\", f:parse_SST },\n0x00fd: { n:\"LabelSst\", f:parse_LabelSst },\n0x00ff: { n:\"ExtSST\", f:parse_ExtSST },\n0x0100: { n:\"SXVDEx\" },\n0x0103: { n:\"SXFormula\" },\n0x0122: { n:\"SXDBEx\" },\n0x0137: { n:\"RRDInsDel\" },\n0x0138: { n:\"RRDHead\" },\n0x013b: { n:\"RRDChgCell\" },\n0x013d: { n:\"RRTabId\", f:parseuint16a },\n0x013e: { n:\"RRDRenSheet\" },\n0x013f: { n:\"RRSort\" },\n0x0140: { n:\"RRDMove\" },\n0x014a: { n:\"RRFormat\" },\n0x014b: { n:\"RRAutoFmt\" },\n0x014d: { n:\"RRInsertSh\" },\n0x014e: { n:\"RRDMoveBegin\" },\n0x014f: { n:\"RRDMoveEnd\" },\n0x0150: { n:\"RRDInsDelBegin\" },\n0x0151: { n:\"RRDInsDelEnd\" },\n0x0152: { n:\"RRDConflict\" },\n0x0153: { n:\"RRDDefName\" },\n0x0154: { n:\"RRDRstEtxp\" },\n0x015f: { n:\"LRng\" },\n0x0160: { n:\"UsesELFs\", f:parsebool },\n0x0161: { n:\"DSF\", f:parsenoop2 },\n0x0191: { n:\"CUsr\" },\n0x0192: { n:\"CbUsr\" },\n0x0193: { n:\"UsrInfo\" },\n0x0194: { n:\"UsrExcl\" },\n0x0195: { n:\"FileLock\" },\n0x0196: { n:\"RRDInfo\" },\n0x0197: { n:\"BCUsrs\" },\n0x0198: { n:\"UsrChk\" },\n0x01a9: { n:\"UserBView\" },\n0x01aa: { n:\"UserSViewBegin\" },\n0x01ab: { n:\"UserSViewEnd\" },\n0x01ac: { n:\"RRDUserView\" },\n0x01ad: { n:\"Qsi\" },\n0x01ae: { n:\"SupBook\", f:parse_SupBook },\n0x01af: { n:\"Prot4Rev\", f:parsebool },\n0x01b0: { n:\"CondFmt\" },\n0x01b1: { n:\"CF\" },\n0x01b2: { n:\"DVal\" },\n0x01b5: { n:\"DConBin\" },\n0x01b6: { n:\"TxO\", f:parse_TxO },\n0x01b7: { n:\"RefreshAll\", f:parsebool },\n0x01b8: { n:\"HLink\", f:parse_HLink },\n0x01b9: { n:\"Lel\" },\n0x01ba: { n:\"CodeName\", f:parse_XLUnicodeString },\n0x01bb: { n:\"SXFDBType\" },\n0x01bc: { n:\"Prot4RevPass\", f:parseuint16 },\n0x01bd: { n:\"ObNoMacros\" },\n0x01be: { n:\"Dv\" },\n0x01c0: { n:\"Excel9File\", f:parsenoop2 },\n0x01c1: { n:\"RecalcId\", f:parse_RecalcId, r:2},\n0x01c2: { n:\"EntExU2\", f:parsenoop2 },\n0x0200: { n:\"Dimensions\", f:parse_Dimensions },\n0x0201: { n:\"Blank\", f:parse_Blank },\n0x0203: { n:\"Number\", f:parse_Number },\n0x0204: { n:\"Label\", f:parse_Label },\n0x0205: { n:\"BoolErr\", f:parse_BoolErr },\n0x0206: { n:\"Formula\", f:parse_Formula },\n0x0207: { n:\"String\", f:parse_String },\n0x0208: { n:'Row', f:parse_Row },\n0x020b: { n:\"Index\" },\n0x0221: { n:\"Array\", f:parse_Array },\n0x0225: { n:\"DefaultRowHeight\", f:parse_DefaultRowHeight },\n0x0236: { n:\"Table\" },\n0x023e: { n:\"Window2\", f:parse_Window2 },\n0x027e: { n:\"RK\", f:parse_RK },\n0x0293: { n:\"Style\" },\n0x0406: { n:\"Formula\", f:parse_Formula },\n0x0418: { n:\"BigName\" },\n0x041e: { n:\"Format\", f:parse_Format },\n0x043c: { n:\"ContinueBigName\" },\n0x04bc: { n:\"ShrFmla\", f:parse_ShrFmla },\n0x0800: { n:\"HLinkTooltip\", f:parse_HLinkTooltip },\n0x0801: { n:\"WebPub\" },\n0x0802: { n:\"QsiSXTag\" },\n0x0803: { n:\"DBQueryExt\" },\n0x0804: { n:\"ExtString\" },\n0x0805: { n:\"TxtQry\" },\n0x0806: { n:\"Qsir\" },\n0x0807: { n:\"Qsif\" },\n0x0808: { n:\"RRDTQSIF\" },\n0x0809: { n:'BOF', f:parse_BOF },\n0x080a: { n:\"OleDbConn\" },\n0x080b: { n:\"WOpt\" },\n0x080c: { n:\"SXViewEx\" },\n0x080d: { n:\"SXTH\" },\n0x080e: { n:\"SXPIEx\" },\n0x080f: { n:\"SXVDTEx\" },\n0x0810: { n:\"SXViewEx9\" },\n0x0812: { n:\"ContinueFrt\" },\n0x0813: { n:\"RealTimeData\" },\n0x0850: { n:\"ChartFrtInfo\" },\n0x0851: { n:\"FrtWrapper\" },\n0x0852: { n:\"StartBlock\" },\n0x0853: { n:\"EndBlock\" },\n0x0854: { n:\"StartObject\" },\n0x0855: { n:\"EndObject\" },\n0x0856: { n:\"CatLab\" },\n0x0857: { n:\"YMult\" },\n0x0858: { n:\"SXViewLink\" },\n0x0859: { n:\"PivotChartBits\" },\n0x085a: { n:\"FrtFontList\" },\n0x0862: { n:\"SheetExt\" },\n0x0863: { n:\"BookExt\", r:12},\n0x0864: { n:\"SXAddl\" },\n0x0865: { n:\"CrErr\" },\n0x0866: { n:\"HFPicture\" },\n0x0867: { n:'FeatHdr', f:parsenoop2 },\n0x0868: { n:\"Feat\" },\n0x086a: { n:\"DataLabExt\" },\n0x086b: { n:\"DataLabExtContents\" },\n0x086c: { n:\"CellWatch\" },\n0x0871: { n:\"FeatHdr11\" },\n0x0872: { n:\"Feature11\" },\n0x0874: { n:\"DropDownObjIds\" },\n0x0875: { n:\"ContinueFrt11\" },\n0x0876: { n:\"DConn\" },\n0x0877: { n:\"List12\" },\n0x0878: { n:\"Feature12\" },\n0x0879: { n:\"CondFmt12\" },\n0x087a: { n:\"CF12\" },\n0x087b: { n:\"CFEx\" },\n0x087c: { n:\"XFCRC\", f:parse_XFCRC, r:12 },\n0x087d: { n:\"XFExt\", f:parse_XFExt, r:12 },\n0x087e: { n:\"AutoFilter12\" },\n0x087f: { n:\"ContinueFrt12\" },\n0x0884: { n:\"MDTInfo\" },\n0x0885: { n:\"MDXStr\" },\n0x0886: { n:\"MDXTuple\" },\n0x0887: { n:\"MDXSet\" },\n0x0888: { n:\"MDXProp\" },\n0x0889: { n:\"MDXKPI\" },\n0x088a: { n:\"MDB\" },\n0x088b: { n:\"PLV\" },\n0x088c: { n:\"Compat12\", f:parsebool, r:12 },\n0x088d: { n:\"DXF\" },\n0x088e: { n:\"TableStyles\", r:12 },\n0x088f: { n:\"TableStyle\" },\n0x0890: { n:\"TableStyleElement\" },\n0x0892: { n:\"StyleExt\" },\n0x0893: { n:\"NamePublish\" },\n0x0894: { n:\"NameCmt\", f:parse_NameCmt, r:12 },\n0x0895: { n:\"SortData\" },\n0x0896: { n:\"Theme\", f:parse_Theme, r:12 },\n0x0897: { n:\"GUIDTypeLib\" },\n0x0898: { n:\"FnGrp12\" },\n0x0899: { n:\"NameFnGrp12\" },\n0x089a: { n:\"MTRSettings\", f:parse_MTRSettings, r:12 },\n0x089b: { n:\"CompressPictures\", f:parsenoop2 },\n0x089c: { n:\"HeaderFooter\" },\n0x089d: { n:\"CrtLayout12\" },\n0x089e: { n:\"CrtMlFrt\" },\n0x089f: { n:\"CrtMlFrtContinue\" },\n0x08a3: { n:\"ForceFullCalculation\", f:parse_ForceFullCalculation },\n0x08a4: { n:\"ShapePropsStream\" },\n0x08a5: { n:\"TextPropsStream\" },\n0x08a6: { n:\"RichTextStream\" },\n0x08a7: { n:\"CrtLayout12A\" },\n0x1001: { n:\"Units\" },\n0x1002: { n:\"Chart\" },\n0x1003: { n:\"Series\" },\n0x1006: { n:\"DataFormat\" },\n0x1007: { n:\"LineFormat\" },\n0x1009: { n:\"MarkerFormat\" },\n0x100a: { n:\"AreaFormat\" },\n0x100b: { n:\"PieFormat\" },\n0x100c: { n:\"AttachedLabel\" },\n0x100d: { n:\"SeriesText\" },\n0x1014: { n:\"ChartFormat\" },\n0x1015: { n:\"Legend\" },\n0x1016: { n:\"SeriesList\" },\n0x1017: { n:\"Bar\" },\n0x1018: { n:\"Line\" },\n0x1019: { n:\"Pie\" },\n0x101a: { n:\"Area\" },\n0x101b: { n:\"Scatter\" },\n0x101c: { n:\"CrtLine\" },\n0x101d: { n:\"Axis\" },\n0x101e: { n:\"Tick\" },\n0x101f: { n:\"ValueRange\" },\n0x1020: { n:\"CatSerRange\" },\n0x1021: { n:\"AxisLine\" },\n0x1022: { n:\"CrtLink\" },\n0x1024: { n:\"DefaultText\" },\n0x1025: { n:\"Text\" },\n0x1026: { n:\"FontX\", f:parseuint16 },\n0x1027: { n:\"ObjectLink\" },\n0x1032: { n:\"Frame\" },\n0x1033: { n:\"Begin\" },\n0x1034: { n:\"End\" },\n0x1035: { n:\"PlotArea\" },\n0x103a: { n:\"Chart3d\" },\n0x103c: { n:\"PicF\" },\n0x103d: { n:\"DropBar\" },\n0x103e: { n:\"Radar\" },\n0x103f: { n:\"Surf\" },\n0x1040: { n:\"RadarArea\" },\n0x1041: { n:\"AxisParent\" },\n0x1043: { n:\"LegendException\" },\n0x1044: { n:\"ShtProps\", f:parse_ShtProps },\n0x1045: { n:\"SerToCrt\" },\n0x1046: { n:\"AxesUsed\" },\n0x1048: { n:\"SBaseRef\" },\n0x104a: { n:\"SerParent\" },\n0x104b: { n:\"SerAuxTrend\" },\n0x104e: { n:\"IFmtRecord\" },\n0x104f: { n:\"Pos\" },\n0x1050: { n:\"AlRuns\" },\n0x1051: { n:\"BRAI\" },\n0x105b: { n:\"SerAuxErrBar\" },\n0x105c: { n:\"ClrtClient\", f:parse_ClrtClient },\n0x105d: { n:\"SerFmt\" },\n0x105f: { n:\"Chart3DBarShape\" },\n0x1060: { n:\"Fbi\" },\n0x1061: { n:\"BopPop\" },\n0x1062: { n:\"AxcExt\" },\n0x1063: { n:\"Dat\" },\n0x1064: { n:\"PlotGrowth\" },\n0x1065: { n:\"SIIndex\" },\n0x1066: { n:\"GelFrame\" },\n0x1067: { n:\"BopPopCustom\" },\n0x1068: { n:\"Fbi2\" },\n\n0x0000: { n:\"Dimensions\", f:parse_Dimensions },\n0x0002: { n:\"BIFF2INT\", f:parse_BIFF2INT },\n0x0005: { n:\"BoolErr\", f:parse_BoolErr },\n0x0007: { n:\"String\", f:parse_BIFF2STRING },\n0x0008: { n:\"BIFF2ROW\" },\n0x000b: { n:\"Index\" },\n0x0016: { n:\"ExternCount\", f:parseuint16 },\n0x001e: { n:\"BIFF2FORMAT\", f:parse_BIFF2Format },\n0x001f: { n:\"BIFF2FMTCNT\" }, /* 16-bit cnt of BIFF2FORMAT records */\n0x0020: { n:\"BIFF2COLINFO\" },\n0x0021: { n:\"Array\", f:parse_Array },\n0x0025: { n:\"DefaultRowHeight\", f:parse_DefaultRowHeight },\n0x0032: { n:\"BIFF2FONTXTRA\", f:parse_BIFF2FONTXTRA },\n0x0034: { n:\"DDEObjName\" },\n0x003e: { n:\"BIFF2WINDOW2\" },\n0x0043: { n:\"BIFF2XF\" },\n0x0045: { n:\"BIFF2FONTCLR\" },\n0x0056: { n:\"BIFF4FMTCNT\" }, /* 16-bit cnt, similar to BIFF2 */\n0x007e: { n:\"RK\" }, /* Not necessarily same as 0x027e */\n0x007f: { n:\"ImData\", f:parse_ImData },\n0x0087: { n:\"Addin\" },\n0x0088: { n:\"Edg\" },\n0x0089: { n:\"Pub\" },\n0x0091: { n:\"Sub\" },\n0x0094: { n:\"LHRecord\" },\n0x0095: { n:\"LHNGraph\" },\n0x0096: { n:\"Sound\" },\n0x00a9: { n:\"CoordList\" },\n0x00ab: { n:\"GCW\" },\n0x00bc: { n:\"ShrFmla\" }, /* Not necessarily same as 0x04bc */\n0x00bf: { n:\"ToolbarHdr\" },\n0x00c0: { n:\"ToolbarEnd\" },\n0x00c2: { n:\"AddMenu\" },\n0x00c3: { n:\"DelMenu\" },\n0x00d6: { n:\"RString\", f:parse_RString },\n0x00df: { n:\"UDDesc\" },\n0x00ea: { n:\"TabIdConf\" },\n0x0162: { n:\"XL5Modify\" },\n0x01a5: { n:\"FileSharing2\" },\n0x0209: { n:'BOF', f:parse_BOF },\n0x0218: { n:\"Lbl\", f:parse_Lbl },\n0x0223: { n:\"ExternName\", f:parse_ExternName },\n0x0231: { n:\"Font\" },\n0x0243: { n:\"BIFF3XF\" },\n0x0409: { n:'BOF', f:parse_BOF },\n0x0443: { n:\"BIFF4XF\" },\n0x086d: { n:\"FeatInfo\" },\n0x0873: { n:\"FeatInfo11\" },\n0x0881: { n:\"SXAddl12\" },\n0x08c0: { n:\"AutoWebPub\" },\n0x08c1: { n:\"ListObj\" },\n0x08c2: { n:\"ListField\" },\n0x08c3: { n:\"ListDV\" },\n0x08c4: { n:\"ListCondFmt\" },\n0x08c5: { n:\"ListCF\" },\n0x08c6: { n:\"FMQry\" },\n0x08c7: { n:\"FMSQry\" },\n0x08c8: { n:\"PLV\" },\n0x08c9: { n:\"LnExt\" },\n0x08ca: { n:\"MkrExt\" },\n0x08cb: { n:\"CrtCoopt\" },\n0x08d6: { n:\"FRTArchId$\", r:12 },\n\n0x7262: {}\n};\n\nvar XLSRE = evert_key(XLSRecordEnum, 'n');\nfunction write_biff_rec(ba, type, payload, length) {\n\tvar t = +type || +XLSRE[type];\n\tif(isNaN(t)) return;\n\tvar len = length || (payload||[]).length || 0;\n\tvar o = ba.next(4);\n\to.write_shift(2, t);\n\to.write_shift(2, len);\n\tif(len > 0 && is_buf(payload)) ba.push(payload);\n}\n\nfunction write_biff_continue(ba, type, payload, length) {\n\tvar len = length || (payload||[]).length || 0;\n\tif(len <= 8224) return write_biff_rec(ba, type, payload, len);\n\tvar t = +type || +XLSRE[type];\n\tif(isNaN(t)) return;\n\tvar parts = payload.parts || [], sidx = 0;\n\tvar i = 0, w = 0;\n\twhile(w + (parts[sidx] || 8224) <= 8224) { w+= (parts[sidx] || 8224); sidx++; }\n\tvar o = ba.next(4);\n\to.write_shift(2, t);\n\to.write_shift(2, w);\n\tba.push(payload.slice(i, i + w));\n\ti += w;\n\twhile(i < len) {\n\t\to = ba.next(4);\n\t\to.write_shift(2, 0x3c); // TODO: figure out correct continue type\n\t\tw = 0;\n\t\twhile(w + (parts[sidx] || 8224) <= 8224) { w+= (parts[sidx] || 8224); sidx++; }\n\t\to.write_shift(2, w);\n\t\tba.push(payload.slice(i, i+w)); i+= w;\n\t}\n}\n\nfunction write_BIFF2Cell(out, r, c) {\n\tif(!out) out = new_buf(7);\n\tout.write_shift(2, r);\n\tout.write_shift(2, c);\n\tout.write_shift(2, 0);\n\tout.write_shift(1, 0);\n\treturn out;\n}\n\nfunction write_BIFF2BERR(r, c, val, t) {\n\tvar out = new_buf(9);\n\twrite_BIFF2Cell(out, r, c);\n\tif(t == 'e') { out.write_shift(1, val); out.write_shift(1, 1); }\n\telse { out.write_shift(1, val?1:0); out.write_shift(1, 0); }\n\treturn out;\n}\n\n/* TODO: codepage, large strings */\nfunction write_BIFF2LABEL(r, c, val) {\n\tvar out = new_buf(8 + 2*val.length);\n\twrite_BIFF2Cell(out, r, c);\n\tout.write_shift(1, val.length);\n\tout.write_shift(val.length, val, 'sbcs');\n\treturn out.l < out.length ? out.slice(0, out.l) : out;\n}\n\nfunction write_ws_biff2_cell(ba, cell, R, C) {\n\tif(cell.v != null) switch(cell.t) {\n\t\tcase 'd': case 'n':\n\t\t\tvar v = cell.t == 'd' ? datenum(parseDate(cell.v)) : cell.v;\n\t\t\tif((v == (v|0)) && (v >= 0) && (v < 65536))\n\t\t\t\twrite_biff_rec(ba, 0x0002, write_BIFF2INT(R, C, v));\n\t\t\telse\n\t\t\t\twrite_biff_rec(ba, 0x0003, write_BIFF2NUM(R,C, v));\n\t\t\treturn;\n\t\tcase 'b': case 'e': write_biff_rec(ba, 0x0005, write_BIFF2BERR(R, C, cell.v, cell.t)); return;\n\t\t/* TODO: codepage, sst */\n\t\tcase 's': case 'str':\n\t\t\twrite_biff_rec(ba, 0x0004, write_BIFF2LABEL(R, C, cell.v));\n\t\t\treturn;\n\t}\n\twrite_biff_rec(ba, 0x0001, write_BIFF2Cell(null, R, C));\n}\n\nfunction write_ws_biff2(ba, ws, idx, opts) {\n\tvar dense = Array.isArray(ws);\n\tvar range = safe_decode_range(ws['!ref'] || \"A1\"), ref, rr = \"\", cols = [];\n\tif(range.e.c > 0xFF || range.e.r > 0x3FFF) {\n\t\tif(opts.WTF) throw new Error(\"Range \" + (ws['!ref'] || \"A1\") + \" exceeds format limit A1:IV16384\");\n\t\trange.e.c = Math.min(range.e.c, 0xFF);\n\t\trange.e.r = Math.min(range.e.c, 0x3FFF);\n\t\tref = encode_range(range);\n\t}\n\tfor(var R = range.s.r; R <= range.e.r; ++R) {\n\t\trr = encode_row(R);\n\t\tfor(var C = range.s.c; C <= range.e.c; ++C) {\n\t\t\tif(R === range.s.r) cols[C] = encode_col(C);\n\t\t\tref = cols[C] + rr;\n\t\t\tvar cell = dense ? (ws[R]||[])[C] : ws[ref];\n\t\t\tif(!cell) continue;\n\t\t\t/* write cell */\n\t\t\twrite_ws_biff2_cell(ba, cell, R, C, opts);\n\t\t}\n\t}\n}\n\n/* Based on test files */\nfunction write_biff2_buf(wb, opts) {\n\tvar o = opts || {};\n\tif(DENSE != null && o.dense == null) o.dense = DENSE;\n\tvar ba = buf_array();\n\tvar idx = 0;\n\tfor(var i=0;i 0xFF || range.e.r >= MAX_ROWS) {\n\t\tif(opts.WTF) throw new Error(\"Range \" + (ws['!ref'] || \"A1\") + \" exceeds format limit A1:IV16384\");\n\t\trange.e.c = Math.min(range.e.c, 0xFF);\n\t\trange.e.r = Math.min(range.e.c, MAX_ROWS-1);\n\t}\n\n\twrite_biff_rec(ba, 0x0809, write_BOF(wb, 0x10, opts));\n\t/* [Uncalced] Index */\n\twrite_biff_rec(ba, \"CalcMode\", writeuint16(1));\n\twrite_biff_rec(ba, \"CalcCount\", writeuint16(100));\n\twrite_biff_rec(ba, \"CalcRefMode\", writebool(true));\n\twrite_biff_rec(ba, \"CalcIter\", writebool(false));\n\twrite_biff_rec(ba, \"CalcDelta\", write_Xnum(0.001));\n\twrite_biff_rec(ba, \"CalcSaveRecalc\", writebool(true));\n\twrite_biff_rec(ba, \"PrintRowCol\", writebool(false));\n\twrite_biff_rec(ba, \"PrintGrid\", writebool(false));\n\twrite_biff_rec(ba, \"GridSet\", writeuint16(1));\n\twrite_biff_rec(ba, \"Guts\", write_Guts([0,0]));\n\t/* DefaultRowHeight WsBool [Sync] [LPr] [HorizontalPageBreaks] [VerticalPageBreaks] */\n\t/* Header (string) */\n\t/* Footer (string) */\n\twrite_biff_rec(ba, \"HCenter\", writebool(false));\n\twrite_biff_rec(ba, \"VCenter\", writebool(false));\n\t/* ... */\n\twrite_biff_rec(ba, 0x200, write_Dimensions(range, opts));\n\t/* ... */\n\n\tif(b8) ws['!links'] = [];\n\tfor(var R = range.s.r; R <= range.e.r; ++R) {\n\t\trr = encode_row(R);\n\t\tfor(var C = range.s.c; C <= range.e.c; ++C) {\n\t\t\tif(R === range.s.r) cols[C] = encode_col(C);\n\t\t\tref = cols[C] + rr;\n\t\t\tvar cell = dense ? (ws[R]||[])[C] : ws[ref];\n\t\t\tif(!cell) continue;\n\t\t\t/* write cell */\n\t\t\twrite_ws_biff8_cell(ba, cell, R, C, opts);\n\t\t\tif(b8 && cell.l) ws['!links'].push([ref, cell.l]);\n\t\t}\n\t}\n\tvar cname = _sheet.CodeName || _sheet.name || s;\n\t/* ... */\n\tif(b8) write_biff_rec(ba, \"Window2\", write_Window2((_WB.Views||[])[0]));\n\t/* ... */\n\tif(b8 && (ws['!merges']||[]).length) write_biff_rec(ba, \"MergeCells\", write_MergeCells(ws['!merges']));\n\t/* [LRng] *QUERYTABLE [PHONETICINFO] CONDFMTS */\n\tif(b8) write_ws_biff8_hlinks(ba, ws);\n\t/* [DVAL] */\n\twrite_biff_rec(ba, \"CodeName\", write_XLUnicodeString(cname, opts));\n\t/* *WebPub *CellWatch [SheetExt] */\n\tif(b8) write_FEAT(ba, ws);\n\t/* *FEAT11 *RECORD12 */\n\twrite_biff_rec(ba, \"EOF\");\n\treturn ba.end();\n}\n\n/* [MS-XLS] 2.1.7.20.3 */\nfunction write_biff8_global(wb, bufs, opts) {\n\tvar A = buf_array();\n\tvar _WB = ((wb||{}).Workbook||{});\n\tvar _sheets = (_WB.Sheets||[]);\n\tvar _wb = _WB.WBProps||{};\n\tvar b8 = opts.biff == 8, b5 = opts.biff == 5;\n\twrite_biff_rec(A, 0x0809, write_BOF(wb, 0x05, opts));\n\tif(opts.bookType == \"xla\") write_biff_rec(A, \"Addin\");\n\twrite_biff_rec(A, \"InterfaceHdr\", b8 ? writeuint16(0x04b0) : null);\n\twrite_biff_rec(A, \"Mms\", writezeroes(2));\n\tif(b5) write_biff_rec(A, \"ToolbarHdr\");\n\tif(b5) write_biff_rec(A, \"ToolbarEnd\");\n\twrite_biff_rec(A, \"InterfaceEnd\");\n\twrite_biff_rec(A, \"WriteAccess\", write_WriteAccess(\"SheetJS\", opts));\n\t/* [FileSharing] */\n\twrite_biff_rec(A, \"CodePage\", writeuint16(b8 ? 0x04b0 : 0x04E4));\n\t/* *2047 Lel */\n\tif(b8) write_biff_rec(A, \"DSF\", writeuint16(0));\n\tif(b8) write_biff_rec(A, \"Excel9File\");\n\twrite_biff_rec(A, \"RRTabId\", write_RRTabId(wb.SheetNames.length));\n\tif(b8 && wb.vbaraw) write_biff_rec(A, \"ObProj\");\n\t/* [ObNoMacros] */\n\tif(b8 && wb.vbaraw) {\n\t\tvar cname = _wb.CodeName || \"ThisWorkbook\";\n\t\twrite_biff_rec(A, \"CodeName\", write_XLUnicodeString(cname, opts));\n\t}\n\twrite_biff_rec(A, \"BuiltInFnGroupCount\", writeuint16(0x11));\n\t/* *FnGroupName *FnGrp12 */\n\t/* *Lbl */\n\t/* [OleObjectSize] */\n\twrite_biff_rec(A, \"WinProtect\", writebool(false));\n\twrite_biff_rec(A, \"Protect\", writebool(false));\n\twrite_biff_rec(A, \"Password\", writeuint16(0));\n\tif(b8) write_biff_rec(A, \"Prot4Rev\", writebool(false));\n\tif(b8) write_biff_rec(A, \"Prot4RevPass\", writeuint16(0));\n\twrite_biff_rec(A, \"Window1\", write_Window1(opts));\n\twrite_biff_rec(A, \"Backup\", writebool(false));\n\twrite_biff_rec(A, \"HideObj\", writeuint16(0));\n\twrite_biff_rec(A, \"Date1904\", writebool(safe1904(wb)==\"true\"));\n\twrite_biff_rec(A, \"CalcPrecision\", writebool(true));\n\tif(b8) write_biff_rec(A, \"RefreshAll\", writebool(false));\n\twrite_biff_rec(A, \"BookBool\", writeuint16(0));\n\t/* ... */\n\twrite_FONTS_biff8(A, wb, opts);\n\twrite_FMTS_biff8(A, wb.SSF, opts);\n\twrite_CELLXFS_biff8(A, opts);\n\t/* ... */\n\tif(b8) write_biff_rec(A, \"UsesELFs\", writebool(false));\n\tvar a = A.end();\n\n\tvar C = buf_array();\n\t/* METADATA [MTRSettings] [ForceFullCalculation] */\n\tif(b8) write_biff_rec(C, \"Country\", write_Country());\n\t/* *SUPBOOK *LBL *RTD [RecalcId] *HFPicture *MSODRAWINGGROUP */\n\n\t/* BIFF8: [SST *Continue] ExtSST */\n\tif(b8 && opts.Strings) write_biff_continue(C, \"SST\", write_SST(opts.Strings, opts));\n\n\t/* *WebPub [WOpt] [CrErr] [BookExt] *FeatHdr *DConn [THEME] [CompressPictures] [Compat12] [GUIDTypeLib] */\n\twrite_biff_rec(C, \"EOF\");\n\tvar c = C.end();\n\n\tvar B = buf_array();\n\tvar blen = 0, j = 0;\n\tfor(j = 0; j < wb.SheetNames.length; ++j) blen += (b8 ? 12 : 11) + (b8 ? 2 : 1) * wb.SheetNames[j].length;\n\tvar start = a.length + blen + c.length;\n\tfor(j = 0; j < wb.SheetNames.length; ++j) {\n\t\tvar _sheet = _sheets[j] || ({});\n\t\twrite_biff_rec(B, \"BoundSheet8\", write_BoundSheet8({pos:start, hs:_sheet.Hidden||0, dt:0, name:wb.SheetNames[j]}, opts));\n\t\tstart += bufs[j].length;\n\t}\n\t/* 1*BoundSheet8 */\n\tvar b = B.end();\n\tif(blen != b.length) throw new Error(\"BS8 \" + blen + \" != \" + b.length);\n\n\tvar out = [];\n\tif(a.length) out.push(a);\n\tif(b.length) out.push(b);\n\tif(c.length) out.push(c);\n\treturn __toBuffer([out]);\n}\n\n/* [MS-XLS] 2.1.7.20 Workbook Stream */\nfunction write_biff8_buf(wb, opts) {\n\tvar o = opts || {};\n\tvar bufs = [];\n\n\tif(wb && !wb.SSF) {\n\t\twb.SSF = SSF.get_table();\n\t}\n\tif(wb && wb.SSF) {\n\t\tmake_ssf(SSF); SSF.load_table(wb.SSF);\n\t\t// $FlowIgnore\n\t\to.revssf = evert_num(wb.SSF); o.revssf[wb.SSF[65535]] = 0;\n\t\to.ssf = wb.SSF;\n\t}\n\n\to.Strings = []; o.Strings.Count = 0; o.Strings.Unique = 0;\n\tfix_write_opts(o);\n\n\to.cellXfs = [];\n\tget_cell_style(o.cellXfs, {}, {revssf:{\"General\":0}});\n\n\tif(!wb.Props) wb.Props = {};\n\n\tfor(var i = 0; i < wb.SheetNames.length; ++i) bufs[bufs.length] = write_ws_biff8(i, o, wb);\n\tbufs.unshift(write_biff8_global(wb, bufs, o));\n\treturn __toBuffer([bufs]);\n}\n\nfunction write_biff_buf(wb, opts) {\n\tvar o = opts || {};\n\tswitch(o.biff || 2) {\n\t\tcase 8: case 5: return write_biff8_buf(wb, opts);\n\t\tcase 4: case 3: case 2: return write_biff2_buf(wb, opts);\n\t}\n\tthrow new Error(\"invalid type \" + o.bookType + \" for BIFF\");\n}\n/* note: browser DOM element cannot see mso- style attrs, must parse */\nvar HTML_ = (function() {\n\tfunction html_to_sheet(str, _opts) {\n\t\tvar opts = _opts || {};\n\t\tif(DENSE != null && opts.dense == null) opts.dense = DENSE;\n\t\tvar ws = opts.dense ? ([]) : ({});\n\t\tstr = str.replace(//g, \"\");\n\t\tvar mtch = str.match(/\");\n\t\tvar mtch2 = str.match(/<\\/table/i);\n\t\tvar i = mtch.index, j = mtch2 && mtch2.index || str.length;\n\t\tvar rows = split_regex(str.slice(i, j), /(:?]*>)/i, \"\");\n\t\tvar R = -1, C = 0, RS = 0, CS = 0;\n\t\tvar range = {s:{r:10000000, c:10000000},e:{r:0,c:0}};\n\t\tvar merges = [];\n\t\tfor(i = 0; i < rows.length; ++i) {\n\t\t\tvar row = rows[i].trim();\n\t\t\tvar hd = row.slice(0,3).toLowerCase();\n\t\t\tif(hd == \"/i);\n\t\t\tfor(j = 0; j < cells.length; ++j) {\n\t\t\t\tvar cell = cells[j].trim();\n\t\t\t\tif(!cell.match(/\")) > -1) m = m.slice(cc+1);\n\t\t\t\tfor(var midx = 0; midx < merges.length; ++midx) {\n\t\t\t\t\tvar _merge = merges[midx];\n\t\t\t\t\tif(_merge.s.c == C && _merge.s.r < R && R <= _merge.e.r) { C = _merge.e.c + 1; midx = -1; }\n\t\t\t\t}\n\t\t\t\tvar tag = parsexmltag(cell.slice(0, cell.indexOf(\">\")));\n\t\t\t\tCS = tag.colspan ? +tag.colspan : 1;\n\t\t\t\tif((RS = +tag.rowspan)>1 || CS>1) merges.push({s:{r:R,c:C},e:{r:R + (RS||1) - 1, c:C + CS - 1}});\n\t\t\t\tvar _t = tag.t || \"\";\n\t\t\t\t/* TODO: generate stub cells */\n\t\t\t\tif(!m.length) { C += CS; continue; }\n\t\t\t\tm = htmldecode(m);\n\t\t\t\tif(range.s.r > R) range.s.r = R; if(range.e.r < R) range.e.r = R;\n\t\t\t\tif(range.s.c > C) range.s.c = C; if(range.e.c < C) range.e.c = C;\n\t\t\t\tif(!m.length) continue;\n\t\t\t\tvar o = {t:'s', v:m};\n\t\t\t\tif(opts.raw || !m.trim().length || _t == 's'){}\n\t\t\t\telse if(m === 'TRUE') o = {t:'b', v:true};\n\t\t\t\telse if(m === 'FALSE') o = {t:'b', v:false};\n\t\t\t\telse if(!isNaN(fuzzynum(m))) o = {t:'n', v:fuzzynum(m)};\n\t\t\t\telse if(!isNaN(fuzzydate(m).getDate())) {\n\t\t\t\t\to = ({t:'d', v:parseDate(m)});\n\t\t\t\t\tif(!opts.cellDates) o = ({t:'n', v:datenum(o.v)});\n\t\t\t\t\to.z = opts.dateNF || SSF._table[14];\n\t\t\t\t}\n\t\t\t\tif(opts.dense) { if(!ws[R]) ws[R] = []; ws[R][C] = o; }\n\t\t\t\telse ws[encode_cell({r:R, c:C})] = o;\n\t\t\t\tC += CS;\n\t\t\t}\n\t\t}\n\t\tws['!ref'] = encode_range(range);\n\t\tif(merges.length) ws[\"!merges\"] = merges;\n\t\treturn ws;\n\t}\n\tfunction html_to_book(str, opts) {\n\t\treturn sheet_to_workbook(html_to_sheet(str, opts), opts);\n\t}\n\tfunction make_html_row(ws, r, R, o) {\n\t\tvar M = (ws['!merges'] ||[]);\n\t\tvar oo = [];\n\t\tfor(var C = r.s.c; C <= r.e.c; ++C) {\n\t\t\tvar RS = 0, CS = 0;\n\t\t\tfor(var j = 0; j < M.length; ++j) {\n\t\t\t\tif(M[j].s.r > R || M[j].s.c > C) continue;\n\t\t\t\tif(M[j].e.r < R || M[j].e.c < C) continue;\n\t\t\t\tif(M[j].s.r < R || M[j].s.c < C) { RS = -1; break; }\n\t\t\t\tRS = M[j].e.r - M[j].s.r + 1; CS = M[j].e.c - M[j].s.c + 1; break;\n\t\t\t}\n\t\t\tif(RS < 0) continue;\n\t\t\tvar coord = encode_cell({r:R,c:C});\n\t\t\tvar cell = o.dense ? (ws[R]||[])[C] : ws[coord];\n\t\t\t/* TODO: html entities */\n\t\t\tvar w = (cell && cell.v != null) && (cell.h || escapehtml(cell.w || (format_cell(cell), cell.w) || \"\")) || \"\";\n\t\t\tvar sp = ({});\n\t\t\tif(RS > 1) sp.rowspan = RS;\n\t\t\tif(CS > 1) sp.colspan = CS;\n\t\t\tsp.t = cell && cell.t || 'z';\n\t\t\tif(o.editable) w = '' + w + '';\n\t\t\tsp.id = (o.id || \"sjs\") + \"-\" + coord;\n\t\t\tif(sp.t != \"z\") { sp.v = cell.v; if(cell.z != null) sp.z = cell.z; }\n\t\t\too.push(writextag('td', w, sp));\n\t\t}\n\t\tvar preamble = \"\";\n\t\treturn preamble + oo.join(\"\") + \"\";\n\t}\n\tfunction make_html_preamble(ws, R, o) {\n\t\tvar out = [];\n\t\treturn out.join(\"\") + '';\n\t}\n\tvar _BEGIN = 'SheetJS Table Export';\n\tvar _END = '';\n\tfunction sheet_to_html(ws, opts/*, wb:?Workbook*/) {\n\t\tvar o = opts || {};\n\t\tvar header = o.header != null ? o.header : _BEGIN;\n\t\tvar footer = o.footer != null ? o.footer : _END;\n\t\tvar out = [header];\n\t\tvar r = decode_range(ws['!ref']);\n\t\to.dense = Array.isArray(ws);\n\t\tout.push(make_html_preamble(ws, r, o));\n\t\tfor(var R = r.s.r; R <= r.e.r; ++R) out.push(make_html_row(ws, r, R, o));\n\t\tout.push(\"
\" + footer);\n\t\treturn out.join(\"\");\n\n\t}\n\treturn {\n\t\tto_workbook: html_to_book,\n\t\tto_sheet: html_to_sheet,\n\t\t_row: make_html_row,\n\t\tBEGIN: _BEGIN,\n\t\tEND: _END,\n\t\t_preamble: make_html_preamble,\n\t\tfrom_sheet: sheet_to_html\n\t};\n})();\n\nfunction sheet_add_dom(ws, table, _opts) {\n\tvar opts = _opts || {};\n\tif(DENSE != null) opts.dense = DENSE;\n\tvar or_R = 0, or_C = 0;\n\tif(opts.origin != null) {\n\t\tif(typeof opts.origin == 'number') or_R = opts.origin;\n\t\telse {\n\t\t\tvar _origin = typeof opts.origin == \"string\" ? decode_cell(opts.origin) : opts.origin;\n\t\t\tor_R = _origin.r; or_C = _origin.c;\n\t\t}\n\t}\n\tvar rows = table.getElementsByTagName('tr');\n\tvar sheetRows = Math.min(opts.sheetRows||10000000, rows.length);\n\tvar range = {s:{r:0,c:0},e:{r:or_R,c:or_C}};\n\tif(ws[\"!ref\"]) {\n\t\tvar _range = decode_range(ws[\"!ref\"]);\n\t\trange.s.r = Math.min(range.s.r, _range.s.r);\n\t\trange.s.c = Math.min(range.s.c, _range.s.c);\n\t\trange.e.r = Math.max(range.e.r, _range.e.r);\n\t\trange.e.c = Math.max(range.e.c, _range.e.c);\n\t\tif(or_R == -1) range.e.r = or_R = _range.e.r + 1;\n\t}\n\tvar merges = [], midx = 0;\n\tvar rowinfo = ws[\"!rows\"] || (ws[\"!rows\"] = []);\n\tvar _R = 0, R = 0, _C = 0, C = 0, RS = 0, CS = 0;\n\tif(!ws[\"!cols\"]) ws['!cols'] = [];\n\tfor(; _R < rows.length && R < sheetRows; ++_R) {\n\t\tvar row = rows[_R];\n\t\tif (is_dom_element_hidden(row)) {\n\t\t\tif (opts.display) continue;\n\t\t\trowinfo[R] = {hidden: true};\n\t\t}\n\t\tvar elts = (row.children);\n\t\tfor(_C = C = 0; _C < elts.length; ++_C) {\n\t\t\tvar elt = elts[_C];\n\t\t\tif (opts.display && is_dom_element_hidden(elt)) continue;\n\t\t\tvar v = elt.hasAttribute('v') ? elt.getAttribute('v') : htmldecode(elt.innerHTML);\n\t\t\tvar z = elt.getAttribute('z');\n\t\t\tfor(midx = 0; midx < merges.length; ++midx) {\n\t\t\t\tvar m = merges[midx];\n\t\t\t\tif(m.s.c == C + or_C && m.s.r < R + or_R && R + or_R <= m.e.r) { C = m.e.c+1 - or_C; midx = -1; }\n\t\t\t}\n\t\t\t/* TODO: figure out how to extract nonstandard mso- style */\n\t\t\tCS = +elt.getAttribute(\"colspan\") || 1;\n\t\t\tif( ((RS = (+elt.getAttribute(\"rowspan\") || 1)))>1 || CS>1) merges.push({s:{r:R + or_R,c:C + or_C},e:{r:R + or_R + (RS||1) - 1, c:C + or_C + (CS||1) - 1}});\n\t\t\tvar o = {t:'s', v:v};\n\t\t\tvar _t = elt.getAttribute(\"t\") || \"\";\n\t\t\tif(v != null) {\n\t\t\t\tif(v.length == 0) o.t = _t || 'z';\n\t\t\t\telse if(opts.raw || v.trim().length == 0 || _t == \"s\"){}\n\t\t\t\telse if(v === 'TRUE') o = {t:'b', v:true};\n\t\t\t\telse if(v === 'FALSE') o = {t:'b', v:false};\n\t\t\t\telse if(!isNaN(fuzzynum(v))) o = {t:'n', v:fuzzynum(v)};\n\t\t\t\telse if(!isNaN(fuzzydate(v).getDate())) {\n\t\t\t\t\to = ({t:'d', v:parseDate(v)});\n\t\t\t\t\tif(!opts.cellDates) o = ({t:'n', v:datenum(o.v)});\n\t\t\t\t\to.z = opts.dateNF || SSF._table[14];\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(o.z === undefined && z != null) o.z = z;\n\t\t\tif(opts.dense) { if(!ws[R + or_R]) ws[R + or_R] = []; ws[R + or_R][C + or_C] = o; }\n\t\t\telse ws[encode_cell({c:C + or_C, r:R + or_R})] = o;\n\t\t\tif(range.e.c < C + or_C) range.e.c = C + or_C;\n\t\t\tC += CS;\n\t\t}\n\t\t++R;\n\t}\n\tif(merges.length) ws['!merges'] = (ws[\"!merges\"] || []).concat(merges);\n\trange.e.r = Math.max(range.e.r, R - 1 + or_R);\n\tws['!ref'] = encode_range(range);\n\tif(R >= sheetRows) ws['!fullref'] = encode_range((range.e.r = rows.length-_R+R-1 + or_R,range)); // We can count the real number of rows to parse but we don't to improve the performance\n\treturn ws;\n}\n\nfunction parse_dom_table(table, _opts) {\n\tvar opts = _opts || {};\n\tvar ws = opts.dense ? ([]) : ({});\n\treturn sheet_add_dom(ws, table, _opts);\n}\n\nfunction table_to_book(table, opts) {\n\treturn sheet_to_workbook(parse_dom_table(table, opts), opts);\n}\n\nfunction is_dom_element_hidden(element) {\n\tvar display = '';\n\tvar get_computed_style = get_get_computed_style_function(element);\n\tif(get_computed_style) display = get_computed_style(element).getPropertyValue('display');\n\tif(!display) display = element.style.display; // Fallback for cases when getComputedStyle is not available (e.g. an old browser or some Node.js environments) or doesn't work (e.g. if the element is not inserted to a document)\n\treturn display === 'none';\n}\n\n/* global getComputedStyle */\nfunction get_get_computed_style_function(element) {\n\t// The proper getComputedStyle implementation is the one defined in the element window\n\tif(element.ownerDocument.defaultView && typeof element.ownerDocument.defaultView.getComputedStyle === 'function') return element.ownerDocument.defaultView.getComputedStyle;\n\t// If it is not available, try to get one from the global namespace\n\tif(typeof getComputedStyle === 'function') return getComputedStyle;\n\treturn null;\n}\n/* OpenDocument */\nvar parse_content_xml = (function() {\n\n\tvar parse_text_p = function(text) {\n\t\t/* 6.1.2 White Space Characters */\n\t\tvar fixed = text\n\t\t\t.replace(/[\\t\\r\\n]/g, \" \").trim().replace(/ +/g, \" \")\n\t\t\t.replace(//g,\" \")\n\t\t\t.replace(//g, function($$,$1) { return Array(parseInt($1,10)+1).join(\" \"); })\n\t\t\t.replace(/]*\\/>/g,\"\\t\")\n\t\t\t.replace(//g,\"\\n\");\n\t\tvar v = unescapexml(fixed.replace(/<[^>]*>/g,\"\"));\n\n\t\treturn [v];\n\t};\n\n\tvar number_formats = {\n\t\t/* ods name: [short ssf fmt, long ssf fmt] */\n\t\tday: [\"d\", \"dd\"],\n\t\tmonth: [\"m\", \"mm\"],\n\t\tyear: [\"y\", \"yy\"],\n\t\thours: [\"h\", \"hh\"],\n\t\tminutes: [\"m\", \"mm\"],\n\t\tseconds: [\"s\", \"ss\"],\n\t\t\"am-pm\": [\"A/P\", \"AM/PM\"],\n\t\t\"day-of-week\": [\"ddd\", \"dddd\"],\n\t\tera: [\"e\", \"ee\"],\n\t\t/* there is no native representation of LO \"Q\" format */\n\t\tquarter: [\"\\\\Qm\", \"m\\\\\\\"th quarter\\\"\"]\n\t};\n\n\treturn function pcx(d, _opts) {\n\t\tvar opts = _opts || {};\n\t\tif(DENSE != null && opts.dense == null) opts.dense = DENSE;\n\t\tvar str = xlml_normalize(d);\n\t\tvar state = [], tmp;\n\t\tvar tag;\n\t\tvar NFtag = {name:\"\"}, NF = \"\", pidx = 0;\n\t\tvar sheetag;\n\t\tvar rowtag;\n\t\tvar Sheets = {}, SheetNames = [];\n\t\tvar ws = opts.dense ? ([]) : ({});\n\t\tvar Rn, q;\n\t\tvar ctag = ({value:\"\"});\n\t\tvar textp = \"\", textpidx = 0, textptag;\n\t\tvar textR = [];\n\t\tvar R = -1, C = -1, range = {s: {r:1000000,c:10000000}, e: {r:0, c:0}};\n\t\tvar row_ol = 0;\n\t\tvar number_format_map = {};\n\t\tvar merges = [], mrange = {}, mR = 0, mC = 0;\n\t\tvar rowinfo = [], rowpeat = 1, colpeat = 1;\n\t\tvar arrayf = [];\n\t\tvar WB = {Names:[]};\n\t\tvar atag = ({});\n\t\tvar _Ref = [\"\", \"\"];\n\t\tvar comments = [], comment = ({});\n\t\tvar creator = \"\", creatoridx = 0;\n\t\tvar isstub = false, intable = false;\n\t\tvar i = 0;\n\t\txlmlregex.lastIndex = 0;\n\t\tstr = str.replace(//mg,\"\").replace(//gm,\"\");\n\t\twhile((Rn = xlmlregex.exec(str))) switch((Rn[3]=Rn[3].replace(/_.*$/,\"\"))) {\n\n\t\t\tcase 'table': case '工作表': // 9.1.2 \n\t\t\t\tif(Rn[1]==='/') {\n\t\t\t\t\tif(range.e.c >= range.s.c && range.e.r >= range.s.r) ws['!ref'] = encode_range(range);\n\t\t\t\t\telse ws['!ref'] = \"A1:A1\";\n\t\t\t\t\tif(opts.sheetRows > 0 && opts.sheetRows <= range.e.r) {\n\t\t\t\t\t\tws['!fullref'] = ws['!ref'];\n\t\t\t\t\t\trange.e.r = opts.sheetRows - 1;\n\t\t\t\t\t\tws['!ref'] = encode_range(range);\n\t\t\t\t\t}\n\t\t\t\t\tif(merges.length) ws['!merges'] = merges;\n\t\t\t\t\tif(rowinfo.length) ws[\"!rows\"] = rowinfo;\n\t\t\t\t\tsheetag.name = sheetag['名称'] || sheetag.name;\n\t\t\t\t\tif(typeof JSON !== 'undefined') JSON.stringify(sheetag);\n\t\t\t\t\tSheetNames.push(sheetag.name);\n\t\t\t\t\tSheets[sheetag.name] = ws;\n\t\t\t\t\tintable = false;\n\t\t\t\t}\n\t\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') {\n\t\t\t\t\tsheetag = parsexmltag(Rn[0], false);\n\t\t\t\t\tR = C = -1;\n\t\t\t\t\trange.s.r = range.s.c = 10000000; range.e.r = range.e.c = 0;\n\t\t\t\t\tws = opts.dense ? ([]) : ({}); merges = [];\n\t\t\t\t\trowinfo = [];\n\t\t\t\t\tintable = true;\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 'table-row-group': // 9.1.9 \n\t\t\t\tif(Rn[1] === \"/\") --row_ol; else ++row_ol;\n\t\t\t\tbreak;\n\t\t\tcase 'table-row': case '行': // 9.1.3 \n\t\t\t\tif(Rn[1] === '/') { R+=rowpeat; rowpeat = 1; break; }\n\t\t\t\trowtag = parsexmltag(Rn[0], false);\n\t\t\t\tif(rowtag['行号']) R = rowtag['行号'] - 1; else if(R == -1) R = 0;\n\t\t\t\trowpeat = +rowtag['number-rows-repeated'] || 1;\n\t\t\t\t/* TODO: remove magic */\n\t\t\t\tif(rowpeat < 10) for(i = 0; i < rowpeat; ++i) if(row_ol > 0) rowinfo[R + i] = {level: row_ol};\n\t\t\t\tC = -1; break;\n\t\t\tcase 'covered-table-cell': // 9.1.5 \n\t\t\t\tif(Rn[1] !== '/') ++C;\n\t\t\t\tif(opts.sheetStubs) {\n\t\t\t\t\tif(opts.dense) { if(!ws[R]) ws[R] = []; ws[R][C] = {t:'z'}; }\n\t\t\t\t\telse ws[encode_cell({r:R,c:C})] = {t:'z'};\n\t\t\t\t}\n\t\t\t\ttextp = \"\"; textR = [];\n\t\t\t\tbreak; /* stub */\n\t\t\tcase 'table-cell': case '数据':\n\t\t\t\tif(Rn[0].charAt(Rn[0].length-2) === '/') {\n\t\t\t\t\t++C;\n\t\t\t\t\tctag = parsexmltag(Rn[0], false);\n\t\t\t\t\tcolpeat = parseInt(ctag['number-columns-repeated']||\"1\", 10);\n\t\t\t\t\tq = ({t:'z', v:null});\n\t\t\t\t\tif(ctag.formula && opts.cellFormula != false) q.f = ods_to_csf_formula(unescapexml(ctag.formula));\n\t\t\t\t\tif((ctag['数据类型'] || ctag['value-type']) == \"string\") {\n\t\t\t\t\t\tq.t = \"s\"; q.v = unescapexml(ctag['string-value'] || \"\");\n\t\t\t\t\t\tif(opts.dense) {\n\t\t\t\t\t\t\tif(!ws[R]) ws[R] = [];\n\t\t\t\t\t\t\tws[R][C] = q;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tws[encode_cell({r:R,c:C})] = q;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tC+= colpeat-1;\n\t\t\t\t} else if(Rn[1]!=='/') {\n\t\t\t\t\t++C;\n\t\t\t\t\tcolpeat = 1;\n\t\t\t\t\tvar rptR = rowpeat ? R + rowpeat - 1 : R;\n\t\t\t\t\tif(C > range.e.c) range.e.c = C;\n\t\t\t\t\tif(C < range.s.c) range.s.c = C;\n\t\t\t\t\tif(R < range.s.r) range.s.r = R;\n\t\t\t\t\tif(rptR > range.e.r) range.e.r = rptR;\n\t\t\t\t\tctag = parsexmltag(Rn[0], false);\n\t\t\t\t\tcomments = []; comment = ({});\n\t\t\t\t\tq = ({t:ctag['数据类型'] || ctag['value-type'], v:null});\n\t\t\t\t\tif(opts.cellFormula) {\n\t\t\t\t\t\tif(ctag.formula) ctag.formula = unescapexml(ctag.formula);\n\t\t\t\t\t\tif(ctag['number-matrix-columns-spanned'] && ctag['number-matrix-rows-spanned']) {\n\t\t\t\t\t\t\tmR = parseInt(ctag['number-matrix-rows-spanned'],10) || 0;\n\t\t\t\t\t\t\tmC = parseInt(ctag['number-matrix-columns-spanned'],10) || 0;\n\t\t\t\t\t\t\tmrange = {s: {r:R,c:C}, e:{r:R + mR-1,c:C + mC-1}};\n\t\t\t\t\t\t\tq.F = encode_range(mrange);\n\t\t\t\t\t\t\tarrayf.push([mrange, q.F]);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif(ctag.formula) q.f = ods_to_csf_formula(ctag.formula);\n\t\t\t\t\t\telse for(i = 0; i < arrayf.length; ++i)\n\t\t\t\t\t\t\tif(R >= arrayf[i][0].s.r && R <= arrayf[i][0].e.r)\n\t\t\t\t\t\t\t\tif(C >= arrayf[i][0].s.c && C <= arrayf[i][0].e.c)\n\t\t\t\t\t\t\t\t\tq.F = arrayf[i][1];\n\t\t\t\t\t}\n\t\t\t\t\tif(ctag['number-columns-spanned'] || ctag['number-rows-spanned']) {\n\t\t\t\t\t\tmR = parseInt(ctag['number-rows-spanned'],10) || 0;\n\t\t\t\t\t\tmC = parseInt(ctag['number-columns-spanned'],10) || 0;\n\t\t\t\t\t\tmrange = {s: {r:R,c:C}, e:{r:R + mR-1,c:C + mC-1}};\n\t\t\t\t\t\tmerges.push(mrange);\n\t\t\t\t\t}\n\n\t\t\t\t\t/* 19.675.2 table:number-columns-repeated */\n\t\t\t\t\tif(ctag['number-columns-repeated']) colpeat = parseInt(ctag['number-columns-repeated'], 10);\n\n\t\t\t\t\t/* 19.385 office:value-type */\n\t\t\t\t\tswitch(q.t) {\n\t\t\t\t\t\tcase 'boolean': q.t = 'b'; q.v = parsexmlbool(ctag['boolean-value']); break;\n\t\t\t\t\t\tcase 'float': q.t = 'n'; q.v = parseFloat(ctag.value); break;\n\t\t\t\t\t\tcase 'percentage': q.t = 'n'; q.v = parseFloat(ctag.value); break;\n\t\t\t\t\t\tcase 'currency': q.t = 'n'; q.v = parseFloat(ctag.value); break;\n\t\t\t\t\t\tcase 'date': q.t = 'd'; q.v = parseDate(ctag['date-value']);\n\t\t\t\t\t\t\tif(!opts.cellDates) { q.t = 'n'; q.v = datenum(q.v); }\n\t\t\t\t\t\t\tq.z = 'm/d/yy'; break;\n\t\t\t\t\t\tcase 'time': q.t = 'n'; q.v = parse_isodur(ctag['time-value'])/86400; break;\n\t\t\t\t\t\tcase 'number': q.t = 'n'; q.v = parseFloat(ctag['数据数值']); break;\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tif(q.t === 'string' || q.t === 'text' || !q.t) {\n\t\t\t\t\t\t\t\tq.t = 's';\n\t\t\t\t\t\t\t\tif(ctag['string-value'] != null) { textp = unescapexml(ctag['string-value']); textR = []; }\n\t\t\t\t\t\t\t} else throw new Error('Unsupported value type ' + q.t);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tisstub = false;\n\t\t\t\t\tif(q.t === 's') {\n\t\t\t\t\t\tq.v = textp || '';\n\t\t\t\t\t\tif(textR.length) q.R = textR;\n\t\t\t\t\t\tisstub = textpidx == 0;\n\t\t\t\t\t}\n\t\t\t\t\tif(atag.Target) q.l = atag;\n\t\t\t\t\tif(comments.length > 0) { q.c = comments; comments = []; }\n\t\t\t\t\tif(textp && opts.cellText !== false) q.w = textp;\n\t\t\t\t\tif(isstub) { q.t = \"z\"; delete q.v; }\n\t\t\t\t\tif(!isstub || opts.sheetStubs) {\n\t\t\t\t\t\tif(!(opts.sheetRows && opts.sheetRows <= R)) {\n\t\t\t\t\t\t\tfor(var rpt = 0; rpt < rowpeat; ++rpt) {\n\t\t\t\t\t\t\t\tcolpeat = parseInt(ctag['number-columns-repeated']||\"1\", 10);\n\t\t\t\t\t\t\t\tif(opts.dense) {\n\t\t\t\t\t\t\t\t\tif(!ws[R + rpt]) ws[R + rpt] = [];\n\t\t\t\t\t\t\t\t\tws[R + rpt][C] = rpt == 0 ? q : dup(q);\n\t\t\t\t\t\t\t\t\twhile(--colpeat > 0) ws[R + rpt][C + colpeat] = dup(q);\n\t\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t\tws[encode_cell({r:R + rpt,c:C})] = q;\n\t\t\t\t\t\t\t\t\twhile(--colpeat > 0) ws[encode_cell({r:R + rpt,c:C + colpeat})] = dup(q);\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif(range.e.c <= C) range.e.c = C;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tcolpeat = parseInt(ctag['number-columns-repeated']||\"1\", 10);\n\t\t\t\t\tC += colpeat-1; colpeat = 0;\n\t\t\t\t\tq = {};\n\t\t\t\t\ttextp = \"\"; textR = [];\n\t\t\t\t}\n\t\t\t\tatag = ({});\n\t\t\t\tbreak; // 9.1.4 \n\n\t\t\t/* pure state */\n\t\t\tcase 'document': // TODO: is the root for FODS\n\t\t\tcase 'document-content': case '电子表格文档': // 3.1.3.2 \n\t\t\tcase 'spreadsheet': case '主体': // 3.7 \n\t\t\tcase 'scripts': // 3.12 \n\t\t\tcase 'styles': // TODO \n\t\t\tcase 'font-face-decls': // 3.14 \n\t\t\tcase 'master-styles': //3.15.4 -- relevant for FODS\n\t\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;}\n\t\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], true]);\n\t\t\t\tbreak;\n\n\t\t\tcase 'annotation': // 14.1 \n\t\t\t\tif(Rn[1]==='/'){\n\t\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;\n\t\t\t\t\tcomment.t = textp;\n\t\t\t\t\tif(textR.length) comment.R = textR;\n\t\t\t\t\tcomment.a = creator;\n\t\t\t\t\tcomments.push(comment);\n\t\t\t\t}\n\t\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') {state.push([Rn[3], false]);}\n\t\t\t\tcreator = \"\"; creatoridx = 0;\n\t\t\t\ttextp = \"\"; textpidx = 0; textR = [];\n\t\t\t\tbreak;\n\n\t\t\tcase 'creator': // 4.3.2.7 \n\t\t\t\tif(Rn[1]==='/') { creator = str.slice(creatoridx,Rn.index); }\n\t\t\t\telse creatoridx = Rn.index + Rn[0].length;\n\t\t\t\tbreak;\n\n\t\t\t/* ignore state */\n\t\t\tcase 'meta': case '元数据': // TODO: FODS/UOF\n\t\t\tcase 'settings': // TODO: \n\t\t\tcase 'config-item-set': // TODO: \n\t\t\tcase 'config-item-map-indexed': // TODO: \n\t\t\tcase 'config-item-map-entry': // TODO: \n\t\t\tcase 'config-item-map-named': // TODO: \n\t\t\tcase 'shapes': // 9.2.8 \n\t\t\tcase 'frame': // 10.4.2 \n\t\t\tcase 'text-box': // 10.4.3 \n\t\t\tcase 'image': // 10.4.4 \n\t\t\tcase 'data-pilot-tables': // 9.6.2 \n\t\t\tcase 'list-style': // 16.30 \n\t\t\tcase 'form': // 13.13 \n\t\t\tcase 'dde-links': // 9.8 \n\t\t\tcase 'event-listeners': // TODO\n\t\t\tcase 'chart': // TODO\n\t\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;}\n\t\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], false]);\n\t\t\t\ttextp = \"\"; textpidx = 0; textR = [];\n\t\t\t\tbreak;\n\n\t\t\tcase 'scientific-number': // TODO: \n\t\t\t\tbreak;\n\t\t\tcase 'currency-symbol': // TODO: \n\t\t\t\tbreak;\n\t\t\tcase 'currency-style': // TODO: \n\t\t\t\tbreak;\n\t\t\tcase 'number-style': // 16.27.2 \n\t\t\tcase 'percentage-style': // 16.27.9 \n\t\t\tcase 'date-style': // 16.27.10 \n\t\t\tcase 'time-style': // 16.27.18 \n\t\t\t\tif(Rn[1]==='/'){\n\t\t\t\t\tnumber_format_map[NFtag.name] = NF;\n\t\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;\n\t\t\t\t} else if(Rn[0].charAt(Rn[0].length-2) !== '/') {\n\t\t\t\t\tNF = \"\";\n\t\t\t\t\tNFtag = parsexmltag(Rn[0], false);\n\t\t\t\t\tstate.push([Rn[3], true]);\n\t\t\t\t} break;\n\n\t\t\tcase 'script': break; // 3.13 \n\t\t\tcase 'libraries': break; // TODO: \n\t\t\tcase 'automatic-styles': break; // 3.15.3 \n\n\t\t\tcase 'default-style': // TODO: \n\t\t\tcase 'page-layout': break; // TODO: \n\t\t\tcase 'style': // 16.2 \n\t\t\t\tbreak;\n\t\t\tcase 'map': break; // 16.3 \n\t\t\tcase 'font-face': break; // 16.21 \n\n\t\t\tcase 'paragraph-properties': break; // 17.6 \n\t\t\tcase 'table-properties': break; // 17.15 \n\t\t\tcase 'table-column-properties': break; // 17.16 \n\t\t\tcase 'table-row-properties': break; // 17.17 \n\t\t\tcase 'table-cell-properties': break; // 17.18 \n\n\t\t\tcase 'number': // 16.27.3 \n\t\t\t\tswitch(state[state.length-1][0]) {\n\t\t\t\t\tcase 'time-style':\n\t\t\t\t\tcase 'date-style':\n\t\t\t\t\t\ttag = parsexmltag(Rn[0], false);\n\t\t\t\t\t\tNF += number_formats[Rn[3]][tag.style==='long'?1:0]; break;\n\t\t\t\t} break;\n\n\t\t\tcase 'fraction': break; // TODO 16.27.6 \n\n\t\t\tcase 'day': // 16.27.11 \n\t\t\tcase 'month': // 16.27.12 \n\t\t\tcase 'year': // 16.27.13 \n\t\t\tcase 'era': // 16.27.14 \n\t\t\tcase 'day-of-week': // 16.27.15 \n\t\t\tcase 'week-of-year': // 16.27.16 \n\t\t\tcase 'quarter': // 16.27.17 \n\t\t\tcase 'hours': // 16.27.19 \n\t\t\tcase 'minutes': // 16.27.20 \n\t\t\tcase 'seconds': // 16.27.21 \n\t\t\tcase 'am-pm': // 16.27.22 \n\t\t\t\tswitch(state[state.length-1][0]) {\n\t\t\t\t\tcase 'time-style':\n\t\t\t\t\tcase 'date-style':\n\t\t\t\t\t\ttag = parsexmltag(Rn[0], false);\n\t\t\t\t\t\tNF += number_formats[Rn[3]][tag.style==='long'?1:0]; break;\n\t\t\t\t} break;\n\n\t\t\tcase 'boolean-style': break; // 16.27.23 \n\t\t\tcase 'boolean': break; // 16.27.24 \n\t\t\tcase 'text-style': break; // 16.27.25 \n\t\t\tcase 'text': // 16.27.26 \n\t\t\t\tif(Rn[0].slice(-2) === \"/>\") break;\n\t\t\t\telse if(Rn[1]===\"/\") switch(state[state.length-1][0]) {\n\t\t\t\t\tcase 'number-style':\n\t\t\t\t\tcase 'date-style':\n\t\t\t\t\tcase 'time-style':\n\t\t\t\t\t\tNF += str.slice(pidx, Rn.index);\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\telse pidx = Rn.index + Rn[0].length;\n\t\t\t\tbreak;\n\n\t\t\tcase 'named-range': // 9.4.12 \n\t\t\t\ttag = parsexmltag(Rn[0], false);\n\t\t\t\t_Ref = ods_to_csf_3D(tag['cell-range-address']);\n\t\t\t\tvar nrange = ({Name:tag.name, Ref:_Ref[0] + '!' + _Ref[1]});\n\t\t\t\tif(intable) nrange.Sheet = SheetNames.length;\n\t\t\t\tWB.Names.push(nrange);\n\t\t\t\tbreak;\n\n\t\t\tcase 'text-content': break; // 16.27.27 \n\t\t\tcase 'text-properties': break; // 16.27.27 \n\t\t\tcase 'embedded-text': break; // 16.27.4 \n\n\t\t\tcase 'body': case '电子表格': break; // 3.3 16.9.6 19.726.3\n\n\t\t\tcase 'forms': break; // 12.25.2 13.2\n\t\t\tcase 'table-column': break; // 9.1.6 \n\t\t\tcase 'table-header-rows': break; // 9.1.7 \n\t\t\tcase 'table-rows': break; // 9.1.12 \n\t\t\t/* TODO: outline levels */\n\t\t\tcase 'table-column-group': break; // 9.1.10 \n\t\t\tcase 'table-header-columns': break; // 9.1.11 \n\t\t\tcase 'table-columns': break; // 9.1.12 \n\n\t\t\tcase 'null-date': break; // 9.4.2 TODO: date1904\n\n\t\t\tcase 'graphic-properties': break; // 17.21 \n\t\t\tcase 'calculation-settings': break; // 9.4.1 \n\t\t\tcase 'named-expressions': break; // 9.4.11 \n\t\t\tcase 'label-range': break; // 9.4.9 \n\t\t\tcase 'label-ranges': break; // 9.4.10 \n\t\t\tcase 'named-expression': break; // 9.4.13 \n\t\t\tcase 'sort': break; // 9.4.19 \n\t\t\tcase 'sort-by': break; // 9.4.20 \n\t\t\tcase 'sort-groups': break; // 9.4.22 \n\n\t\t\tcase 'tab': break; // 6.1.4 \n\t\t\tcase 'line-break': break; // 6.1.5 \n\t\t\tcase 'span': break; // 6.1.7 \n\t\t\tcase 'p': case '文本串': // 5.1.3 \n\t\t\t\tif(['master-styles'].indexOf(state[state.length-1][0]) > -1) break;\n\t\t\t\tif(Rn[1]==='/' && (!ctag || !ctag['string-value'])) {\n\t\t\t\t\tvar ptp = parse_text_p(str.slice(textpidx,Rn.index), textptag);\n\t\t\t\t\ttextp = (textp.length > 0 ? textp + \"\\n\" : \"\") + ptp[0];\n\t\t\t\t} else { textptag = parsexmltag(Rn[0], false); textpidx = Rn.index + Rn[0].length; }\n\t\t\t\tbreak; // \n\t\t\tcase 's': break; // \n\n\t\t\tcase 'database-range': // 9.4.15 \n\t\t\t\tif(Rn[1]==='/') break;\n\t\t\t\ttry {\n\t\t\t\t\t_Ref = ods_to_csf_3D(parsexmltag(Rn[0])['target-range-address']);\n\t\t\t\t\tSheets[_Ref[0]]['!autofilter'] = { ref:_Ref[1] };\n\t\t\t\t} catch(e) {/* empty */}\n\t\t\t\tbreak;\n\n\t\t\tcase 'date': break; // <*:date>\n\n\t\t\tcase 'object': break; // 10.4.6.2 \n\t\t\tcase 'title': case '标题': break; // <*:title> OR \n\t\t\tcase 'desc': break; // <*:desc>\n\t\t\tcase 'binary-data': break; // 10.4.5 TODO: b64 blob\n\n\t\t\t/* 9.2 Advanced Tables */\n\t\t\tcase 'table-source': break; // 9.2.6\n\t\t\tcase 'scenario': break; // 9.2.6\n\n\t\t\tcase 'iteration': break; // 9.4.3 \n\t\t\tcase 'content-validations': break; // 9.4.4 \n\t\t\tcase 'filter': break; // 9.5.2 \n\t\t\tcase 'filter-and': break; // 9.5.3 \n\t\t\tcase 'filter-or': break; // 9.5.4 \n\t\t\tcase 'filter-condition': break; // 9.5.5 \n\n\t\t\tcase 'list-level-style-bullet': break; // 16.31 \n\t\t\tcase 'page-count': break; // TODO \n\t\t\tcase 'time': break; // TODO \n\n\t\t\t/* 9.3 Advanced Table Cells */\n\t\t\tcase 'cell-range-source': break; // 9.3.1 \n\t\t\tcase 'property': break; // 13.8 \n\n\t\t\tcase 'a': // 6.1.8 hyperlink\n\t\t\t\tif(Rn[1]!== '/') {\n\t\t\t\t\tatag = parsexmltag(Rn[0], false);\n\t\t\t\t\tif(!atag.href) break;\n\t\t\t\t\tatag.Target = atag.href; delete atag.href;\n\t\t\t\t\tif(atag.Target.charAt(0) == \"#\" && atag.Target.indexOf(\".\") > -1) {\n\t\t\t\t\t\t_Ref = ods_to_csf_3D(atag.Target.slice(1));\n\t\t\t\t\t\tatag.Target = \"#\" + _Ref[0] + \"!\" + _Ref[1];\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\t/* non-standard */\n\t\t\tcase 'table-protection': break;\n\t\t\tcase 'data-pilot-grand-total': break; // ';\n\treturn function wso() {\n\t\treturn XML_HEADER + payload;\n\t};\n})();\nvar write_content_ods = (function() {\n\t/* 6.1.2 White Space Characters */\n\tvar write_text_p = function(text) {\n\t\treturn escapexml(text)\n\t\t\t.replace(/ +/g, function($$){return '';})\n\t\t\t.replace(/\\t/g, \"\")\n\t\t\t.replace(/\\n/g, \"\")\n\t\t\t.replace(/^ /, \"\").replace(/ $/, \"\");\n\t};\n\n\tvar null_cell_xml = ' \\n';\n\tvar covered_cell_xml = ' \\n';\n\tvar write_ws = function(ws, wb, i) {\n\t\t/* Section 9 Tables */\n\t\tvar o = [];\n\t\to.push(' \\n');\n\t\tvar R=0,C=0, range = decode_range(ws['!ref']);\n\t\tvar marr = ws['!merges'] || [], mi = 0;\n\t\tvar dense = Array.isArray(ws);\n\t\tfor(R = 0; R < range.s.r; ++R) o.push(' \\n');\n\t\tfor(; R <= range.e.r; ++R) {\n\t\t\to.push(' \\n');\n\t\t\tfor(C=0; C < range.s.c; ++C) o.push(null_cell_xml);\n\t\t\tfor(; C <= range.e.c; ++C) {\n\t\t\t\tvar skip = false, ct = {}, textp = \"\";\n\t\t\t\tfor(mi = 0; mi != marr.length; ++mi) {\n\t\t\t\t\tif(marr[mi].s.c > C) continue;\n\t\t\t\t\tif(marr[mi].s.r > R) continue;\n\t\t\t\t\tif(marr[mi].e.c < C) continue;\n\t\t\t\t\tif(marr[mi].e.r < R) continue;\n\t\t\t\t\tif(marr[mi].s.c != C || marr[mi].s.r != R) skip = true;\n\t\t\t\t\tct['table:number-columns-spanned'] = (marr[mi].e.c - marr[mi].s.c + 1);\n\t\t\t\t\tct['table:number-rows-spanned'] = (marr[mi].e.r - marr[mi].s.r + 1);\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(skip) { o.push(covered_cell_xml); continue; }\n\t\t\t\tvar ref = encode_cell({r:R, c:C}), cell = dense ? (ws[R]||[])[C]: ws[ref];\n\t\t\t\tif(cell && cell.f) {\n\t\t\t\t\tct['table:formula'] = escapexml(csf_to_ods_formula(cell.f));\n\t\t\t\t\tif(cell.F) {\n\t\t\t\t\t\tif(cell.F.slice(0, ref.length) == ref) {\n\t\t\t\t\t\t\tvar _Fref = decode_range(cell.F);\n\t\t\t\t\t\t\tct['table:number-matrix-columns-spanned'] = (_Fref.e.c - _Fref.s.c + 1);\n\t\t\t\t\t\t\tct['table:number-matrix-rows-spanned'] = (_Fref.e.r - _Fref.s.r + 1);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(!cell) { o.push(null_cell_xml); continue; }\n\t\t\t\tswitch(cell.t) {\n\t\t\t\t\tcase 'b':\n\t\t\t\t\t\ttextp = (cell.v ? 'TRUE' : 'FALSE');\n\t\t\t\t\t\tct['office:value-type'] = \"boolean\";\n\t\t\t\t\t\tct['office:boolean-value'] = (cell.v ? 'true' : 'false');\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'n':\n\t\t\t\t\t\ttextp = (cell.w||String(cell.v||0));\n\t\t\t\t\t\tct['office:value-type'] = \"float\";\n\t\t\t\t\t\tct['office:value'] = (cell.v||0);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 's': case 'str':\n\t\t\t\t\t\ttextp = cell.v == null ? \"\" : cell.v;\n\t\t\t\t\t\tct['office:value-type'] = \"string\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'd':\n\t\t\t\t\t\ttextp = (cell.w||(parseDate(cell.v).toISOString()));\n\t\t\t\t\t\tct['office:value-type'] = \"date\";\n\t\t\t\t\t\tct['office:date-value'] = (parseDate(cell.v).toISOString());\n\t\t\t\t\t\tct['table:style-name'] = \"ce1\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t//case 'e':\n\t\t\t\t\tdefault: o.push(null_cell_xml); continue;\n\t\t\t\t}\n\t\t\t\tvar text_p = write_text_p(textp);\n\t\t\t\tif(cell.l && cell.l.Target) {\n\t\t\t\t\tvar _tgt = cell.l.Target; _tgt = _tgt.charAt(0) == \"#\" ? \"#\" + csf_to_ods_3D(_tgt.slice(1)) : _tgt;\n\t\t\t\t\ttext_p = writextag('text:a', text_p, {'xlink:href': _tgt});\n\t\t\t\t}\n\t\t\t\to.push(' ' + writextag('table:table-cell', writextag('text:p', text_p, {}), ct) + '\\n');\n\t\t\t}\n\t\t\to.push(' \\n');\n\t\t}\n\t\to.push(' \\n');\n\t\treturn o.join(\"\");\n\t};\n\n\tvar write_automatic_styles_ods = function(o) {\n\t\to.push(' \\n');\n\n\t\to.push(' \\n');\n\t\to.push(' \\n');\n\t\to.push(' /\\n');\n\t\to.push(' \\n');\n\t\to.push(' /\\n');\n\t\to.push(' \\n');\n\t\to.push(' \\n');\n\n\t\t/* table */\n\t\to.push(' \\n'); // style:master-page-name=\"mp1\">\\n');\n\t\to.push(' \\n');\n\t\to.push(' \\n');\n\n\t\t/* table cells, text */\n\t\to.push(' \\n');\n\n\t\t/* page-layout */\n\n\t\to.push(' \\n');\n\t};\n\n\treturn function wcx(wb, opts) {\n\t\tvar o = [XML_HEADER];\n\t\t/* 3.1.3.2 */\n\t\tvar attr = wxt_helper({\n\t\t\t'xmlns:office': \"urn:oasis:names:tc:opendocument:xmlns:office:1.0\",\n\t\t\t'xmlns:table': \"urn:oasis:names:tc:opendocument:xmlns:table:1.0\",\n\t\t\t'xmlns:style': \"urn:oasis:names:tc:opendocument:xmlns:style:1.0\",\n\t\t\t'xmlns:text': \"urn:oasis:names:tc:opendocument:xmlns:text:1.0\",\n\t\t\t'xmlns:draw': \"urn:oasis:names:tc:opendocument:xmlns:drawing:1.0\",\n\t\t\t'xmlns:fo': \"urn:oasis:names:tc:opendocument:xmlns:xsl-fo-compatible:1.0\",\n\t\t\t'xmlns:xlink': \"http://www.w3.org/1999/xlink\",\n\t\t\t'xmlns:dc': \"http://purl.org/dc/elements/1.1/\",\n\t\t\t'xmlns:meta': \"urn:oasis:names:tc:opendocument:xmlns:meta:1.0\",\n\t\t\t'xmlns:number': \"urn:oasis:names:tc:opendocument:xmlns:datastyle:1.0\",\n\t\t\t'xmlns:presentation': \"urn:oasis:names:tc:opendocument:xmlns:presentation:1.0\",\n\t\t\t'xmlns:svg': \"urn:oasis:names:tc:opendocument:xmlns:svg-compatible:1.0\",\n\t\t\t'xmlns:chart': \"urn:oasis:names:tc:opendocument:xmlns:chart:1.0\",\n\t\t\t'xmlns:dr3d': \"urn:oasis:names:tc:opendocument:xmlns:dr3d:1.0\",\n\t\t\t'xmlns:math': \"http://www.w3.org/1998/Math/MathML\",\n\t\t\t'xmlns:form': \"urn:oasis:names:tc:opendocument:xmlns:form:1.0\",\n\t\t\t'xmlns:script': \"urn:oasis:names:tc:opendocument:xmlns:script:1.0\",\n\t\t\t'xmlns:ooo': \"http://openoffice.org/2004/office\",\n\t\t\t'xmlns:ooow': \"http://openoffice.org/2004/writer\",\n\t\t\t'xmlns:oooc': \"http://openoffice.org/2004/calc\",\n\t\t\t'xmlns:dom': \"http://www.w3.org/2001/xml-events\",\n\t\t\t'xmlns:xforms': \"http://www.w3.org/2002/xforms\",\n\t\t\t'xmlns:xsd': \"http://www.w3.org/2001/XMLSchema\",\n\t\t\t'xmlns:xsi': \"http://www.w3.org/2001/XMLSchema-instance\",\n\t\t\t'xmlns:sheet': \"urn:oasis:names:tc:opendocument:sh33tjs:1.0\",\n\t\t\t'xmlns:rpt': \"http://openoffice.org/2005/report\",\n\t\t\t'xmlns:of': \"urn:oasis:names:tc:opendocument:xmlns:of:1.2\",\n\t\t\t'xmlns:xhtml': \"http://www.w3.org/1999/xhtml\",\n\t\t\t'xmlns:grddl': \"http://www.w3.org/2003/g/data-view#\",\n\t\t\t'xmlns:tableooo': \"http://openoffice.org/2009/table\",\n\t\t\t'xmlns:drawooo': \"http://openoffice.org/2010/draw\",\n\t\t\t'xmlns:calcext': \"urn:org:documentfoundation:names:experimental:calc:xmlns:calcext:1.0\",\n\t\t\t'xmlns:loext': \"urn:org:documentfoundation:names:experimental:office:xmlns:loext:1.0\",\n\t\t\t'xmlns:field': \"urn:openoffice:names:experimental:ooo-ms-interop:xmlns:field:1.0\",\n\t\t\t'xmlns:formx': \"urn:openoffice:names:experimental:ooxml-odf-interop:xmlns:form:1.0\",\n\t\t\t'xmlns:css3t': \"http://www.w3.org/TR/css3-text/\",\n\t\t\t'office:version': \"1.2\"\n\t\t});\n\n\t\tvar fods = wxt_helper({\n\t\t\t'xmlns:config': \"urn:oasis:names:tc:opendocument:xmlns:config:1.0\",\n\t\t\t'office:mimetype': \"application/vnd.oasis.opendocument.spreadsheet\"\n\t\t});\n\n\t\tif(opts.bookType == \"fods\") o.push('\\n');\n\t\telse o.push('\\n');\n\t\twrite_automatic_styles_ods(o);\n\t\to.push(' \\n');\n\t\to.push(' \\n');\n\t\tfor(var i = 0; i != wb.SheetNames.length; ++i) o.push(write_ws(wb.Sheets[wb.SheetNames[i]], wb, i, opts));\n\t\to.push(' \\n');\n\t\to.push(' \\n');\n\t\tif(opts.bookType == \"fods\") o.push('');\n\t\telse o.push('');\n\t\treturn o.join(\"\");\n\t};\n})();\n\nfunction write_ods(wb, opts) {\n\tif(opts.bookType == \"fods\") return write_content_ods(wb, opts);\n\nvar zip = zip_new();\n\tvar f = \"\";\n\n\tvar manifest = [];\n\tvar rdf = [];\n\n\t/* Part 3 Section 3.3 MIME Media Type */\n\tf = \"mimetype\";\n\tzip_add_file(zip, f, \"application/vnd.oasis.opendocument.spreadsheet\");\n\n\t/* Part 1 Section 2.2 Documents */\n\tf = \"content.xml\";\n\tzip_add_file(zip, f, write_content_ods(wb, opts));\n\tmanifest.push([f, \"text/xml\"]);\n\trdf.push([f, \"ContentFile\"]);\n\n\t/* TODO: these are hard-coded styles to satiate excel */\n\tf = \"styles.xml\";\n\tzip_add_file(zip, f, write_styles_ods(wb, opts));\n\tmanifest.push([f, \"text/xml\"]);\n\trdf.push([f, \"StylesFile\"]);\n\n\t/* TODO: this is hard-coded to satiate excel */\n\tf = \"meta.xml\";\n\tzip_add_file(zip, f, write_meta_ods());\n\tmanifest.push([f, \"text/xml\"]);\n\trdf.push([f, \"MetadataFile\"]);\n\n\t/* Part 3 Section 6 Metadata Manifest File */\n\tf = \"manifest.rdf\";\n\tzip_add_file(zip, f, write_rdf(rdf/*, opts*/));\n\tmanifest.push([f, \"application/rdf+xml\"]);\n\n\t/* Part 3 Section 4 Manifest File */\n\tf = \"META-INF/manifest.xml\";\n\tzip_add_file(zip, f, write_manifest(manifest/*, opts*/));\n\n\treturn zip;\n}\n\nfunction write_sheet_index(wb, sheet) {\n\tif(!sheet) return 0;\n\tvar idx = wb.SheetNames.indexOf(sheet);\n\tif(idx == -1) throw new Error(\"Sheet not found: \" + sheet);\n\treturn idx;\n}\n\nfunction write_obj_str(factory) {\n\treturn function write_str(wb, o) {\n\t\tvar idx = write_sheet_index(wb, o.sheet);\n\t\treturn factory.from_sheet(wb.Sheets[wb.SheetNames[idx]], o, wb);\n\t};\n}\n\nvar write_htm_str = write_obj_str(HTML_);\nvar write_csv_str = write_obj_str({from_sheet:sheet_to_csv});\nvar write_slk_str = write_obj_str(typeof SYLK !== \"undefined\" ? SYLK : {});\nvar write_dif_str = write_obj_str(typeof DIF !== \"undefined\" ? DIF : {});\nvar write_prn_str = write_obj_str(typeof PRN !== \"undefined\" ? PRN : {});\nvar write_rtf_str = write_obj_str(typeof RTF !== \"undefined\" ? RTF : {});\nvar write_txt_str = write_obj_str({from_sheet:sheet_to_txt});\nvar write_dbf_buf = write_obj_str(typeof DBF !== \"undefined\" ? DBF : {});\nvar write_eth_str = write_obj_str(typeof ETH !== \"undefined\" ? ETH : {});\n\nfunction fix_opts_func(defaults) {\n\treturn function fix_opts(opts) {\n\t\tfor(var i = 0; i != defaults.length; ++i) {\n\t\t\tvar d = defaults[i];\n\t\t\tif(opts[d[0]] === undefined) opts[d[0]] = d[1];\n\t\t\tif(d[2] === 'n') opts[d[0]] = Number(opts[d[0]]);\n\t\t}\n\t};\n}\n\nvar fix_read_opts = function(opts) {\nfix_opts_func([\n\t['cellNF', false], /* emit cell number format string as .z */\n\t['cellHTML', true], /* emit html string as .h */\n\t['cellFormula', true], /* emit formulae as .f */\n\t['cellStyles', false], /* emits style/theme as .s */\n\t['cellText', true], /* emit formatted text as .w */\n\t['cellDates', false], /* emit date cells with type `d` */\n\n\t['sheetStubs', false], /* emit empty cells */\n\t['sheetRows', 0, 'n'], /* read n rows (0 = read all rows) */\n\n\t['bookDeps', false], /* parse calculation chains */\n\t['bookSheets', false], /* only try to get sheet names (no Sheets) */\n\t['bookProps', false], /* only try to get properties (no Sheets) */\n\t['bookFiles', false], /* include raw file structure (keys, files, cfb) */\n\t['bookVBA', false], /* include vba raw data (vbaraw) */\n\n\t['password',''], /* password */\n\t['WTF', false] /* WTF mode (throws errors) */\n])(opts);\n};\n\nvar fix_write_opts = fix_opts_func([\n\t['cellDates', false], /* write date cells with type `d` */\n\n\t['bookSST', false], /* Generate Shared String Table */\n\n\t['bookType', 'xlsx'], /* Type of workbook (xlsx/m/b) */\n\n\t['compression', false], /* Use file compression */\n\n\t['WTF', false] /* WTF mode (throws errors) */\n]);\nfunction get_sheet_type(n) {\n\tif(RELS.WS.indexOf(n) > -1) return \"sheet\";\n\tif(RELS.CS && n == RELS.CS) return \"chart\";\n\tif(RELS.DS && n == RELS.DS) return \"dialog\";\n\tif(RELS.MS && n == RELS.MS) return \"macro\";\n\treturn (n && n.length) ? n : \"sheet\";\n}\nfunction safe_parse_wbrels(wbrels, sheets) {\n\tif(!wbrels) return 0;\n\ttry {\n\t\twbrels = sheets.map(function pwbr(w) { if(!w.id) w.id = w.strRelID; return [w.name, wbrels['!id'][w.id].Target, get_sheet_type(wbrels['!id'][w.id].Type)]; });\n\t} catch(e) { return null; }\n\treturn !wbrels || wbrels.length === 0 ? null : wbrels;\n}\n\nfunction safe_parse_sheet(zip, path, relsPath, sheet, idx, sheetRels, sheets, stype, opts, wb, themes, styles) {\n\ttry {\n\t\tsheetRels[sheet]=parse_rels(getzipstr(zip, relsPath, true), path);\n\t\tvar data = getzipdata(zip, path);\n\t\tvar _ws;\n\t\tswitch(stype) {\n\t\t\tcase 'sheet': _ws = parse_ws(data, path, idx, opts, sheetRels[sheet], wb, themes, styles); break;\n\t\t\tcase 'chart': _ws = parse_cs(data, path, idx, opts, sheetRels[sheet], wb, themes, styles);\n\t\t\t\tif(!_ws || !_ws['!drawel']) break;\n\t\t\t\tvar dfile = resolve_path(_ws['!drawel'].Target, path);\n\t\t\t\tvar drelsp = get_rels_path(dfile);\n\t\t\t\tvar draw = parse_drawing(getzipstr(zip, dfile, true), parse_rels(getzipstr(zip, drelsp, true), dfile));\n\t\t\t\tvar chartp = resolve_path(draw, dfile);\n\t\t\t\tvar crelsp = get_rels_path(chartp);\n\t\t\t\t_ws = parse_chart(getzipstr(zip, chartp, true), chartp, opts, parse_rels(getzipstr(zip, crelsp, true), chartp), wb, _ws);\n\t\t\t\tbreak;\n\t\t\tcase 'macro': _ws = parse_ms(data, path, idx, opts, sheetRels[sheet], wb, themes, styles); break;\n\t\t\tcase 'dialog': _ws = parse_ds(data, path, idx, opts, sheetRels[sheet], wb, themes, styles); break;\n\t\t\tdefault: throw new Error(\"Unrecognized sheet type \" + stype);\n\t\t}\n\t\tsheets[sheet] = _ws;\n\n\t\t/* scan rels for comments */\n\t\tvar comments = [];\n\t\tif(sheetRels && sheetRels[sheet]) keys(sheetRels[sheet]).forEach(function(n) {\n\t\t\tif(sheetRels[sheet][n].Type == RELS.CMNT) {\n\t\t\t\tvar dfile = resolve_path(sheetRels[sheet][n].Target, path);\n\t\t\t\tcomments = parse_cmnt(getzipdata(zip, dfile, true), dfile, opts);\n\t\t\t\tif(!comments || !comments.length) return;\n\t\t\t\tsheet_insert_comments(_ws, comments);\n\t\t\t}\n\t\t});\n\t} catch(e) { if(opts.WTF) throw e; }\n}\n\nfunction strip_front_slash(x) { return x.charAt(0) == '/' ? x.slice(1) : x; }\n\nfunction parse_zip(zip, opts) {\n\tmake_ssf(SSF);\n\topts = opts || {};\n\tfix_read_opts(opts);\n\n\t/* OpenDocument Part 3 Section 2.2.1 OpenDocument Package */\n\tif(safegetzipfile(zip, 'META-INF/manifest.xml')) return parse_ods(zip, opts);\n\t/* UOC */\n\tif(safegetzipfile(zip, 'objectdata.xml')) return parse_ods(zip, opts);\n\t/* Numbers */\n\tif(safegetzipfile(zip, 'Index/Document.iwa')) throw new Error('Unsupported NUMBERS file');\n\n\tvar entries = zipentries(zip);\n\tvar dir = parse_ct((getzipstr(zip, '[Content_Types].xml')));\n\tvar xlsb = false;\n\tvar sheets, binname;\n\tif(dir.workbooks.length === 0) {\n\t\tbinname = \"xl/workbook.xml\";\n\t\tif(getzipdata(zip,binname, true)) dir.workbooks.push(binname);\n\t}\n\tif(dir.workbooks.length === 0) {\n\t\tbinname = \"xl/workbook.bin\";\n\t\tif(!getzipdata(zip,binname,true)) throw new Error(\"Could not find workbook\");\n\t\tdir.workbooks.push(binname);\n\t\txlsb = true;\n\t}\n\tif(dir.workbooks[0].slice(-3) == \"bin\") xlsb = true;\n\n\tvar themes = ({});\n\tvar styles = ({});\n\tif(!opts.bookSheets && !opts.bookProps) {\n\t\tstrs = [];\n\t\tif(dir.sst) try { strs=parse_sst(getzipdata(zip, strip_front_slash(dir.sst)), dir.sst, opts); } catch(e) { if(opts.WTF) throw e; }\n\n\t\tif(opts.cellStyles && dir.themes.length) themes = parse_theme(getzipstr(zip, dir.themes[0].replace(/^\\//,''), true)||\"\",dir.themes[0], opts);\n\n\t\tif(dir.style) styles = parse_sty(getzipdata(zip, strip_front_slash(dir.style)), dir.style, themes, opts);\n\t}\n\n\t/*var externbooks = */dir.links.map(function(link) {\n\t\ttry {\n\t\t\tvar rels = parse_rels(getzipstr(zip, get_rels_path(strip_front_slash(link))), link);\n\t\t\treturn parse_xlink(getzipdata(zip, strip_front_slash(link)), rels, link, opts);\n\t\t} catch(e) {}\n\t});\n\n\tvar wb = parse_wb(getzipdata(zip, strip_front_slash(dir.workbooks[0])), dir.workbooks[0], opts);\n\n\tvar props = {}, propdata = \"\";\n\n\tif(dir.coreprops.length) {\n\t\tpropdata = getzipdata(zip, strip_front_slash(dir.coreprops[0]), true);\n\t\tif(propdata) props = parse_core_props(propdata);\n\t\tif(dir.extprops.length !== 0) {\n\t\t\tpropdata = getzipdata(zip, strip_front_slash(dir.extprops[0]), true);\n\t\t\tif(propdata) parse_ext_props(propdata, props, opts);\n\t\t}\n\t}\n\n\tvar custprops = {};\n\tif(!opts.bookSheets || opts.bookProps) {\n\t\tif (dir.custprops.length !== 0) {\n\t\t\tpropdata = getzipstr(zip, strip_front_slash(dir.custprops[0]), true);\n\t\t\tif(propdata) custprops = parse_cust_props(propdata, opts);\n\t\t}\n\t}\n\n\tvar out = ({});\n\tif(opts.bookSheets || opts.bookProps) {\n\t\tif(wb.Sheets) sheets = wb.Sheets.map(function pluck(x){ return x.name; });\n\t\telse if(props.Worksheets && props.SheetNames.length > 0) sheets=props.SheetNames;\n\t\tif(opts.bookProps) { out.Props = props; out.Custprops = custprops; }\n\t\tif(opts.bookSheets && typeof sheets !== 'undefined') out.SheetNames = sheets;\n\t\tif(opts.bookSheets ? out.SheetNames : opts.bookProps) return out;\n\t}\n\tsheets = {};\n\n\tvar deps = {};\n\tif(opts.bookDeps && dir.calcchain) deps=parse_cc(getzipdata(zip, strip_front_slash(dir.calcchain)),dir.calcchain,opts);\n\n\tvar i=0;\n\tvar sheetRels = ({});\n\tvar path, relsPath;\n\n\t{\n\t\tvar wbsheets = wb.Sheets;\n\t\tprops.Worksheets = wbsheets.length;\n\t\tprops.SheetNames = [];\n\t\tfor(var j = 0; j != wbsheets.length; ++j) {\n\t\t\tprops.SheetNames[j] = wbsheets[j].name;\n\t\t}\n\t}\n\n\tvar wbext = xlsb ? \"bin\" : \"xml\";\n\tvar wbrelsi = dir.workbooks[0].lastIndexOf(\"/\");\n\tvar wbrelsfile = (dir.workbooks[0].slice(0, wbrelsi+1) + \"_rels/\" + dir.workbooks[0].slice(wbrelsi+1) + \".rels\").replace(/^\\//,\"\");\n\tif(!safegetzipfile(zip, wbrelsfile)) wbrelsfile = 'xl/_rels/workbook.' + wbext + '.rels';\n\tvar wbrels = parse_rels(getzipstr(zip, wbrelsfile, true), wbrelsfile);\n\tif(wbrels) wbrels = safe_parse_wbrels(wbrels, wb.Sheets);\n\n\t/* Numbers iOS hack */\n\tvar nmode = (getzipdata(zip,\"xl/worksheets/sheet.xml\",true))?1:0;\n\twsloop: for(i = 0; i != props.Worksheets; ++i) {\n\t\tvar stype = \"sheet\";\n\t\tif(wbrels && wbrels[i]) {\n\t\t\tpath = 'xl/' + (wbrels[i][1]).replace(/[\\/]?xl\\//, \"\");\n\t\t\tif(!safegetzipfile(zip, path)) path = wbrels[i][1];\n\t\t\tif(!safegetzipfile(zip, path)) path = wbrelsfile.replace(/_rels\\/.*$/,\"\") + wbrels[i][1];\n\t\t\tstype = wbrels[i][2];\n\t\t} else {\n\t\t\tpath = 'xl/worksheets/sheet'+(i+1-nmode)+\".\" + wbext;\n\t\t\tpath = path.replace(/sheet0\\./,\"sheet.\");\n\t\t}\n\t\trelsPath = path.replace(/^(.*)(\\/)([^\\/]*)$/, \"$1/_rels/$3.rels\");\n\t\tif(opts && opts.sheets != null) switch(typeof opts.sheets) {\n\t\t\tcase \"number\": if(i != opts.sheets) continue wsloop; break;\n\t\t\tcase \"string\": if(props.SheetNames[i].toLowerCase() != opts.sheets.toLowerCase()) continue wsloop; break;\n\t\t\tdefault: if(Array.isArray && Array.isArray(opts.sheets)) {\n\t\t\t\tvar snjseen = false;\n\t\t\t\tfor(var snj = 0; snj != opts.sheets.length; ++snj) {\n\t\t\t\t\tif(typeof opts.sheets[snj] == \"number\" && opts.sheets[snj] == i) snjseen=1;\n\t\t\t\t\tif(typeof opts.sheets[snj] == \"string\" && opts.sheets[snj].toLowerCase() == props.SheetNames[i].toLowerCase()) snjseen = 1;\n\t\t\t\t}\n\t\t\t\tif(!snjseen) continue wsloop;\n\t\t\t}\n\t\t}\n\t\tsafe_parse_sheet(zip, path, relsPath, props.SheetNames[i], i, sheetRels, sheets, stype, opts, wb, themes, styles);\n\t}\n\n\tout = ({\n\t\tDirectory: dir,\n\t\tWorkbook: wb,\n\t\tProps: props,\n\t\tCustprops: custprops,\n\t\tDeps: deps,\n\t\tSheets: sheets,\n\t\tSheetNames: props.SheetNames,\n\t\tStrings: strs,\n\t\tStyles: styles,\n\t\tThemes: themes,\n\t\tSSF: SSF.get_table()\n\t});\n\tif(opts && opts.bookFiles) {\n\t\tout.keys = entries;\n\t\tout.files = zip.files;\n\t}\n\tif(opts && opts.bookVBA) {\n\t\tif(dir.vba.length > 0) out.vbaraw = getzipdata(zip,strip_front_slash(dir.vba[0]),true);\n\t\telse if(dir.defaults && dir.defaults.bin === CT_VBA) out.vbaraw = getzipdata(zip, 'xl/vbaProject.bin',true);\n\t}\n\treturn out;\n}\n\n/* [MS-OFFCRYPTO] 2.1.1 */\nfunction parse_xlsxcfb(cfb, _opts) {\n\tvar opts = _opts || {};\n\tvar f = 'Workbook', data = CFB.find(cfb, f);\n\ttry {\n\tf = '/!DataSpaces/Version';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\t/*var version = */parse_DataSpaceVersionInfo(data.content);\n\n\t/* 2.3.4.1 */\n\tf = '/!DataSpaces/DataSpaceMap';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\tvar dsm = parse_DataSpaceMap(data.content);\n\tif(dsm.length !== 1 || dsm[0].comps.length !== 1 || dsm[0].comps[0].t !== 0 || dsm[0].name !== \"StrongEncryptionDataSpace\" || dsm[0].comps[0].v !== \"EncryptedPackage\")\n\t\tthrow new Error(\"ECMA-376 Encrypted file bad \" + f);\n\n\t/* 2.3.4.2 */\n\tf = '/!DataSpaces/DataSpaceInfo/StrongEncryptionDataSpace';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\tvar seds = parse_DataSpaceDefinition(data.content);\n\tif(seds.length != 1 || seds[0] != \"StrongEncryptionTransform\")\n\t\tthrow new Error(\"ECMA-376 Encrypted file bad \" + f);\n\n\t/* 2.3.4.3 */\n\tf = '/!DataSpaces/TransformInfo/StrongEncryptionTransform/!Primary';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\t/*var hdr = */parse_Primary(data.content);\n\t} catch(e) {}\n\n\tf = '/EncryptionInfo';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\tvar einfo = parse_EncryptionInfo(data.content);\n\n\t/* 2.3.4.4 */\n\tf = '/EncryptedPackage';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\n/*global decrypt_agile */\nif(einfo[0] == 0x04 && typeof decrypt_agile !== 'undefined') return decrypt_agile(einfo[1], data.content, opts.password || \"\", opts);\n/*global decrypt_std76 */\nif(einfo[0] == 0x02 && typeof decrypt_std76 !== 'undefined') return decrypt_std76(einfo[1], data.content, opts.password || \"\", opts);\n\tthrow new Error(\"File is password-protected\");\n}\n\nfunction write_zip(wb, opts) {\n\t_shapeid = 1024;\n\tif(opts.bookType == \"ods\") return write_ods(wb, opts);\n\tif(wb && !wb.SSF) {\n\t\twb.SSF = SSF.get_table();\n\t}\n\tif(wb && wb.SSF) {\n\t\tmake_ssf(SSF); SSF.load_table(wb.SSF);\n\t\t// $FlowIgnore\n\t\topts.revssf = evert_num(wb.SSF); opts.revssf[wb.SSF[65535]] = 0;\n\t\topts.ssf = wb.SSF;\n\t}\n\topts.rels = {}; opts.wbrels = {};\n\topts.Strings = []; opts.Strings.Count = 0; opts.Strings.Unique = 0;\n\tif(browser_has_Map) opts.revStrings = new Map();\n\telse { opts.revStrings = {}; opts.revStrings.foo = []; delete opts.revStrings.foo; }\n\tvar wbext = opts.bookType == \"xlsb\" ? \"bin\" : \"xml\";\n\tvar vbafmt = VBAFMTS.indexOf(opts.bookType) > -1;\n\tvar ct = new_ct();\n\tfix_write_opts(opts = opts || {});\nvar zip = zip_new();\n\tvar f = \"\", rId = 0;\n\n\topts.cellXfs = [];\n\tget_cell_style(opts.cellXfs, {}, {revssf:{\"General\":0}});\n\n\tif(!wb.Props) wb.Props = {};\n\n\tf = \"docProps/core.xml\";\n\tzip_add_file(zip, f, write_core_props(wb.Props, opts));\n\tct.coreprops.push(f);\n\tadd_rels(opts.rels, 2, f, RELS.CORE_PROPS);\n\nf = \"docProps/app.xml\";\n\tif(wb.Props && wb.Props.SheetNames){/* empty */}\n\telse if(!wb.Workbook || !wb.Workbook.Sheets) wb.Props.SheetNames = wb.SheetNames;\n\telse {\n\t\tvar _sn = [];\n\t\tfor(var _i = 0; _i < wb.SheetNames.length; ++_i)\n\t\t\tif((wb.Workbook.Sheets[_i]||{}).Hidden != 2) _sn.push(wb.SheetNames[_i]);\n\t\twb.Props.SheetNames = _sn;\n\t}\n\twb.Props.Worksheets = wb.Props.SheetNames.length;\n\tzip_add_file(zip, f, write_ext_props(wb.Props, opts));\n\tct.extprops.push(f);\n\tadd_rels(opts.rels, 3, f, RELS.EXT_PROPS);\n\n\tif(wb.Custprops !== wb.Props && keys(wb.Custprops||{}).length > 0) {\n\t\tf = \"docProps/custom.xml\";\n\t\tzip_add_file(zip, f, write_cust_props(wb.Custprops, opts));\n\t\tct.custprops.push(f);\n\t\tadd_rels(opts.rels, 4, f, RELS.CUST_PROPS);\n\t}\n\n\tfor(rId=1;rId <= wb.SheetNames.length; ++rId) {\n\t\tvar wsrels = {'!id':{}};\n\t\tvar ws = wb.Sheets[wb.SheetNames[rId-1]];\n\t\tvar _type = (ws || {})[\"!type\"] || \"sheet\";\n\t\tswitch(_type) {\n\t\tcase \"chart\":\n\t\t\t/* falls through */\n\t\tdefault:\n\t\t\tf = \"xl/worksheets/sheet\" + rId + \".\" + wbext;\n\t\t\tzip_add_file(zip, f, write_ws(rId-1, f, opts, wb, wsrels));\n\t\t\tct.sheets.push(f);\n\t\t\tadd_rels(opts.wbrels, -1, \"worksheets/sheet\" + rId + \".\" + wbext, RELS.WS[0]);\n\t\t}\n\n\t\tif(ws) {\n\t\t\tvar comments = ws['!comments'];\n\t\t\tvar need_vml = false;\n\t\t\tif(comments && comments.length > 0) {\n\t\t\t\tvar cf = \"xl/comments\" + rId + \".\" + wbext;\n\t\t\t\tzip_add_file(zip, cf, write_cmnt(comments, cf, opts));\n\t\t\t\tct.comments.push(cf);\n\t\t\t\tadd_rels(wsrels, -1, \"../comments\" + rId + \".\" + wbext, RELS.CMNT);\n\t\t\t\tneed_vml = true;\n\t\t\t}\n\t\t\tif(ws['!legacy']) {\n\t\t\t\tif(need_vml) zip_add_file(zip, \"xl/drawings/vmlDrawing\" + (rId) + \".vml\", write_comments_vml(rId, ws['!comments']));\n\t\t\t}\n\t\t\tdelete ws['!comments'];\n\t\t\tdelete ws['!legacy'];\n\t\t}\n\n\t\tif(wsrels['!id'].rId1) zip_add_file(zip, get_rels_path(f), write_rels(wsrels));\n\t}\n\n\tif(opts.Strings != null && opts.Strings.length > 0) {\n\t\tf = \"xl/sharedStrings.\" + wbext;\n\t\tzip_add_file(zip, f, write_sst(opts.Strings, f, opts));\n\t\tct.strs.push(f);\n\t\tadd_rels(opts.wbrels, -1, \"sharedStrings.\" + wbext, RELS.SST);\n\t}\n\n\tf = \"xl/workbook.\" + wbext;\n\tzip_add_file(zip, f, write_wb(wb, f, opts));\n\tct.workbooks.push(f);\n\tadd_rels(opts.rels, 1, f, RELS.WB);\n\n\t/* TODO: something more intelligent with themes */\n\n\tf = \"xl/theme/theme1.xml\";\n\tzip_add_file(zip, f, write_theme(wb.Themes, opts));\n\tct.themes.push(f);\n\tadd_rels(opts.wbrels, -1, \"theme/theme1.xml\", RELS.THEME);\n\n\t/* TODO: something more intelligent with styles */\n\n\tf = \"xl/styles.\" + wbext;\n\tzip_add_file(zip, f, write_sty(wb, f, opts));\n\tct.styles.push(f);\n\tadd_rels(opts.wbrels, -1, \"styles.\" + wbext, RELS.STY);\n\n\tif(wb.vbaraw && vbafmt) {\n\t\tf = \"xl/vbaProject.bin\";\n\t\tzip_add_file(zip, f, wb.vbaraw);\n\t\tct.vba.push(f);\n\t\tadd_rels(opts.wbrels, -1, \"vbaProject.bin\", RELS.VBA);\n\t}\n\n\tzip_add_file(zip, \"[Content_Types].xml\", write_ct(ct, opts));\n\tzip_add_file(zip, '_rels/.rels', write_rels(opts.rels));\n\tzip_add_file(zip, 'xl/_rels/workbook.' + wbext + '.rels', write_rels(opts.wbrels));\n\n\tdelete opts.revssf; delete opts.ssf;\n\treturn zip;\n}\nfunction firstbyte(f,o) {\n\tvar x = \"\";\n\tswitch((o||{}).type || \"base64\") {\n\t\tcase 'buffer': return [f[0], f[1], f[2], f[3], f[4], f[5], f[6], f[7]];\n\t\tcase 'base64': x = Base64.decode(f.slice(0,12)); break;\n\t\tcase 'binary': x = f; break;\n\t\tcase 'array': return [f[0], f[1], f[2], f[3], f[4], f[5], f[6], f[7]];\n\t\tdefault: throw new Error(\"Unrecognized type \" + (o && o.type || \"undefined\"));\n\t}\n\treturn [x.charCodeAt(0), x.charCodeAt(1), x.charCodeAt(2), x.charCodeAt(3), x.charCodeAt(4), x.charCodeAt(5), x.charCodeAt(6), x.charCodeAt(7)];\n}\n\nfunction read_cfb(cfb, opts) {\n\tif(CFB.find(cfb, \"EncryptedPackage\")) return parse_xlsxcfb(cfb, opts);\n\treturn parse_xlscfb(cfb, opts);\n}\n\nfunction read_zip(data, opts) {\nvar zip, d = data;\n\tvar o = opts||{};\n\tif(!o.type) o.type = (has_buf && Buffer.isBuffer(data)) ? \"buffer\" : \"base64\";\n\tzip = zip_read(d, o);\n\treturn parse_zip(zip, o);\n}\n\nfunction read_plaintext(data, o) {\n\tvar i = 0;\n\tmain: while(i < data.length) switch(data.charCodeAt(i)) {\n\t\tcase 0x0A: case 0x0D: case 0x20: ++i; break;\n\t\tcase 0x3C: return parse_xlml(data.slice(i),o);\n\t\tdefault: break main;\n\t}\n\treturn PRN.to_workbook(data, o);\n}\n\nfunction read_plaintext_raw(data, o) {\n\tvar str = \"\", bytes = firstbyte(data, o);\n\tswitch(o.type) {\n\t\tcase 'base64': str = Base64.decode(data); break;\n\t\tcase 'binary': str = data; break;\n\t\tcase 'buffer': str = data.toString('binary'); break;\n\t\tcase 'array': str = cc2str(data); break;\n\t\tdefault: throw new Error(\"Unrecognized type \" + o.type);\n\t}\n\tif(bytes[0] == 0xEF && bytes[1] == 0xBB && bytes[2] == 0xBF) str = utf8read(str);\n\treturn read_plaintext(str, o);\n}\n\nfunction read_utf16(data, o) {\n\tvar d = data;\n\tif(o.type == 'base64') d = Base64.decode(d);\n\td = cptable.utils.decode(1200, d.slice(2), 'str');\n\to.type = \"binary\";\n\treturn read_plaintext(d, o);\n}\n\nfunction bstrify(data) {\n\treturn !data.match(/[^\\x00-\\x7F]/) ? data : utf8write(data);\n}\n\nfunction read_prn(data, d, o, str) {\n\tif(str) { o.type = \"string\"; return PRN.to_workbook(data, o); }\n\treturn PRN.to_workbook(d, o);\n}\n\nfunction readSync(data, opts) {\n\treset_cp();\n\tif(typeof ArrayBuffer !== 'undefined' && data instanceof ArrayBuffer) return readSync(new Uint8Array(data), opts);\n\tvar d = data, n = [0,0,0,0], str = false;\n\tvar o = opts||{};\n\tif(o.cellStyles) { o.cellNF = true; o.sheetStubs = true; }\n\t_ssfopts = {};\n\tif(o.dateNF) _ssfopts.dateNF = o.dateNF;\n\tif(!o.type) o.type = (has_buf && Buffer.isBuffer(data)) ? \"buffer\" : \"base64\";\n\tif(o.type == \"file\") { o.type = has_buf ? \"buffer\" : \"binary\"; d = read_binary(data); }\n\tif(o.type == \"string\") { str = true; o.type = \"binary\"; o.codepage = 65001; d = bstrify(data); }\n\tif(o.type == 'array' && typeof Uint8Array !== 'undefined' && data instanceof Uint8Array && typeof ArrayBuffer !== 'undefined') {\n\t\t// $FlowIgnore\n\t\tvar ab=new ArrayBuffer(3), vu=new Uint8Array(ab); vu.foo=\"bar\";\n\t\t// $FlowIgnore\n\t\tif(!vu.foo) {o=dup(o); o.type='array'; return readSync(ab2a(d), o);}\n\t}\n\tswitch((n = firstbyte(d, o))[0]) {\n\t\tcase 0xD0: if(n[1] === 0xCF && n[2] === 0x11 && n[3] === 0xE0 && n[4] === 0xA1 && n[5] === 0xB1 && n[6] === 0x1A && n[7] === 0xE1) return read_cfb(CFB.read(d, o), o); break;\n\t\tcase 0x09: if(n[1] <= 0x04) return parse_xlscfb(d, o); break;\n\t\tcase 0x3C: return parse_xlml(d, o);\n\t\tcase 0x49: if(n[1] === 0x44) return read_wb_ID(d, o); break;\n\t\tcase 0x54: if(n[1] === 0x41 && n[2] === 0x42 && n[3] === 0x4C) return DIF.to_workbook(d, o); break;\n\t\tcase 0x50: return (n[1] === 0x4B && n[2] < 0x09 && n[3] < 0x09) ? read_zip(d, o) : read_prn(data, d, o, str);\n\t\tcase 0xEF: return n[3] === 0x3C ? parse_xlml(d, o) : read_prn(data, d, o, str);\n\t\tcase 0xFF: if(n[1] === 0xFE) { return read_utf16(d, o); } break;\n\t\tcase 0x00: if(n[1] === 0x00 && n[2] >= 0x02 && n[3] === 0x00) return WK_.to_workbook(d, o); break;\n\t\tcase 0x03: case 0x83: case 0x8B: case 0x8C: return DBF.to_workbook(d, o);\n\t\tcase 0x7B: if(n[1] === 0x5C && n[2] === 0x72 && n[3] === 0x74) return RTF.to_workbook(d, o); break;\n\t\tcase 0x0A: case 0x0D: case 0x20: return read_plaintext_raw(d, o);\n\t}\n\tif(DBF.versions.indexOf(n[0]) > -1 && n[2] <= 12 && n[3] <= 31) return DBF.to_workbook(d, o);\n\treturn read_prn(data, d, o, str);\n}\n\nfunction readFileSync(filename, opts) {\n\tvar o = opts||{}; o.type = 'file';\n\treturn readSync(filename, o);\n}\nfunction write_cfb_ctr(cfb, o) {\n\tswitch(o.type) {\n\t\tcase \"base64\": case \"binary\": break;\n\t\tcase \"buffer\": case \"array\": o.type = \"\"; break;\n\t\tcase \"file\": return write_dl(o.file, CFB.write(cfb, {type:has_buf ? 'buffer' : \"\"}));\n\t\tcase \"string\": throw new Error(\"'string' output type invalid for '\" + o.bookType + \"' files\");\n\t\tdefault: throw new Error(\"Unrecognized type \" + o.type);\n\t}\n\treturn CFB.write(cfb, o);\n}\n\nfunction write_zip_type(wb, opts) {\n\tvar o = opts||{};\n\tvar z = write_zip(wb, o);\n\tvar oopts = {};\n\tif(o.compression) oopts.compression = 'DEFLATE';\n\tif(o.password) oopts.type = has_buf ? \"nodebuffer\" : \"string\";\n\telse switch(o.type) {\n\t\tcase \"base64\": oopts.type = \"base64\"; break;\n\t\tcase \"binary\": oopts.type = \"string\"; break;\n\t\tcase \"string\": throw new Error(\"'string' output type invalid for '\" + o.bookType + \"' files\");\n\t\tcase \"buffer\":\n\t\tcase \"file\": oopts.type = has_buf ? \"nodebuffer\" : \"string\"; break;\n\t\tdefault: throw new Error(\"Unrecognized type \" + o.type);\n\t}\n\tvar out = z.FullPaths ? CFB.write(z, {fileType:\"zip\", type: {\"nodebuffer\": \"buffer\", \"string\": \"binary\"}[oopts.type] || oopts.type}) : z.generate(oopts);\n/*jshint -W083 */\n\tif(o.password && typeof encrypt_agile !== 'undefined') return write_cfb_ctr(encrypt_agile(out, o.password), o); // eslint-disable-line no-undef\n/*jshint +W083 */\n\tif(o.type === \"file\") return write_dl(o.file, out);\n\treturn o.type == \"string\" ? utf8read(out) : out;\n}\n\nfunction write_cfb_type(wb, opts) {\n\tvar o = opts||{};\n\tvar cfb = write_xlscfb(wb, o);\n\treturn write_cfb_ctr(cfb, o);\n}\n\nfunction write_string_type(out, opts, bom) {\n\tif(!bom) bom = \"\";\n\tvar o = bom + out;\n\tswitch(opts.type) {\n\t\tcase \"base64\": return Base64.encode(utf8write(o));\n\t\tcase \"binary\": return utf8write(o);\n\t\tcase \"string\": return out;\n\t\tcase \"file\": return write_dl(opts.file, o, 'utf8');\n\t\tcase \"buffer\": {\n\t\t\tif(has_buf) return Buffer_from(o, 'utf8');\n\t\t\telse return write_string_type(o, {type:'binary'}).split(\"\").map(function(c) { return c.charCodeAt(0); });\n\t\t}\n\t}\n\tthrow new Error(\"Unrecognized type \" + opts.type);\n}\n\nfunction write_stxt_type(out, opts) {\n\tswitch(opts.type) {\n\t\tcase \"base64\": return Base64.encode(out);\n\t\tcase \"binary\": return out;\n\t\tcase \"string\": return out; /* override in sheet_to_txt */\n\t\tcase \"file\": return write_dl(opts.file, out, 'binary');\n\t\tcase \"buffer\": {\n\t\t\tif(has_buf) return Buffer_from(out, 'binary');\n\t\t\telse return out.split(\"\").map(function(c) { return c.charCodeAt(0); });\n\t\t}\n\t}\n\tthrow new Error(\"Unrecognized type \" + opts.type);\n}\n\n/* TODO: test consistency */\nfunction write_binary_type(out, opts) {\n\tswitch(opts.type) {\n\t\tcase \"string\":\n\t\tcase \"base64\":\n\t\tcase \"binary\":\n\t\t\tvar bstr = \"\";\n\t\t\t// $FlowIgnore\n\t\t\tfor(var i = 0; i < out.length; ++i) bstr += String.fromCharCode(out[i]);\n\t\t\treturn opts.type == 'base64' ? Base64.encode(bstr) : opts.type == 'string' ? utf8read(bstr) : bstr;\n\t\tcase \"file\": return write_dl(opts.file, out);\n\t\tcase \"buffer\": return out;\n\t\tdefault: throw new Error(\"Unrecognized type \" + opts.type);\n\t}\n}\n\nfunction writeSync(wb, opts) {\n\treset_cp();\n\tcheck_wb(wb);\n\tvar o = opts||{};\n\tif(o.cellStyles) { o.cellNF = true; o.sheetStubs = true; }\n\tif(o.type == \"array\") { o.type = \"binary\"; var out = (writeSync(wb, o)); o.type = \"array\"; return s2ab(out); }\n\tswitch(o.bookType || 'xlsb') {\n\t\tcase 'xml':\n\t\tcase 'xlml': return write_string_type(write_xlml(wb, o), o);\n\t\tcase 'slk':\n\t\tcase 'sylk': return write_string_type(write_slk_str(wb, o), o);\n\t\tcase 'htm':\n\t\tcase 'html': return write_string_type(write_htm_str(wb, o), o);\n\t\tcase 'txt': return write_stxt_type(write_txt_str(wb, o), o);\n\t\tcase 'csv': return write_string_type(write_csv_str(wb, o), o, \"\\ufeff\");\n\t\tcase 'dif': return write_string_type(write_dif_str(wb, o), o);\n\t\tcase 'dbf': return write_binary_type(write_dbf_buf(wb, o), o);\n\t\tcase 'prn': return write_string_type(write_prn_str(wb, o), o);\n\t\tcase 'rtf': return write_string_type(write_rtf_str(wb, o), o);\n\t\tcase 'eth': return write_string_type(write_eth_str(wb, o), o);\n\t\tcase 'fods': return write_string_type(write_ods(wb, o), o);\n\t\tcase 'biff2': if(!o.biff) o.biff = 2; /* falls through */\n\t\tcase 'biff3': if(!o.biff) o.biff = 3; /* falls through */\n\t\tcase 'biff4': if(!o.biff) o.biff = 4; return write_binary_type(write_biff_buf(wb, o), o);\n\t\tcase 'biff5': if(!o.biff) o.biff = 5; /* falls through */\n\t\tcase 'biff8':\n\t\tcase 'xla':\n\t\tcase 'xls': if(!o.biff) o.biff = 8; return write_cfb_type(wb, o);\n\t\tcase 'xlsx':\n\t\tcase 'xlsm':\n\t\tcase 'xlam':\n\t\tcase 'xlsb':\n\t\tcase 'ods': return write_zip_type(wb, o);\n\t\tdefault: throw new Error (\"Unrecognized bookType |\" + o.bookType + \"|\");\n\t}\n}\n\nfunction resolve_book_type(o) {\n\tif(o.bookType) return;\n\tvar _BT = {\n\t\t\"xls\": \"biff8\",\n\t\t\"htm\": \"html\",\n\t\t\"slk\": \"sylk\",\n\t\t\"socialcalc\": \"eth\",\n\t\t\"Sh33tJS\": \"WTF\"\n\t};\n\tvar ext = o.file.slice(o.file.lastIndexOf(\".\")).toLowerCase();\n\tif(ext.match(/^\\.[a-z]+$/)) o.bookType = ext.slice(1);\n\to.bookType = _BT[o.bookType] || o.bookType;\n}\n\nfunction writeFileSync(wb, filename, opts) {\n\tvar o = opts||{}; o.type = 'file';\n\to.file = filename;\n\tresolve_book_type(o);\n\treturn writeSync(wb, o);\n}\n\nfunction writeFileAsync(filename, wb, opts, cb) {\n\tvar o = opts||{}; o.type = 'file';\n\to.file = filename;\n\tresolve_book_type(o);\n\to.type = 'buffer';\n\tvar _cb = cb; if(!(_cb instanceof Function)) _cb = (opts);\n\treturn _fs.writeFile(filename, writeSync(wb, o), _cb);\n}\nfunction make_json_row(sheet, r, R, cols, header, hdr, dense, o) {\n\tvar rr = encode_row(R);\n\tvar defval = o.defval, raw = o.raw || !Object.prototype.hasOwnProperty.call(o, \"raw\");\n\tvar isempty = true;\n\tvar row = (header === 1) ? [] : {};\n\tif(header !== 1) {\n\t\tif(Object.defineProperty) try { Object.defineProperty(row, '__rowNum__', {value:R, enumerable:false}); } catch(e) { row.__rowNum__ = R; }\n\t\telse row.__rowNum__ = R;\n\t}\n\tif(!dense || sheet[R]) for (var C = r.s.c; C <= r.e.c; ++C) {\n\t\tvar val = dense ? sheet[R][C] : sheet[cols[C] + rr];\n\t\tif(val === undefined || val.t === undefined) {\n\t\t\tif(defval === undefined) continue;\n\t\t\tif(hdr[C] != null) { row[hdr[C]] = defval; }\n\t\t\tcontinue;\n\t\t}\n\t\tvar v = val.v;\n\t\tswitch(val.t){\n\t\t\tcase 'z': if(v == null) break; continue;\n\t\t\tcase 'e': v = void 0; break;\n\t\t\tcase 's': case 'd': case 'b': case 'n': break;\n\t\t\tdefault: throw new Error('unrecognized type ' + val.t);\n\t\t}\n\t\tif(hdr[C] != null) {\n\t\t\tif(v == null) {\n\t\t\t\tif(defval !== undefined) row[hdr[C]] = defval;\n\t\t\t\telse if(raw && v === null) row[hdr[C]] = null;\n\t\t\t\telse continue;\n\t\t\t} else {\n\t\t\t\trow[hdr[C]] = raw || (o.rawNumbers && val.t == \"n\") ? v : format_cell(val,v,o);\n\t\t\t}\n\t\t\tif(v != null) isempty = false;\n\t\t}\n\t}\n\treturn { row: row, isempty: isempty };\n}\n\n\nfunction sheet_to_json(sheet, opts) {\n\tif(sheet == null || sheet[\"!ref\"] == null) return [];\n\tvar val = {t:'n',v:0}, header = 0, offset = 1, hdr = [], v=0, vv=\"\";\n\tvar r = {s:{r:0,c:0},e:{r:0,c:0}};\n\tvar o = opts || {};\n\tvar range = o.range != null ? o.range : sheet[\"!ref\"];\n\tif(o.header === 1) header = 1;\n\telse if(o.header === \"A\") header = 2;\n\telse if(Array.isArray(o.header)) header = 3;\n\telse if(o.header == null) header = 0;\n\tswitch(typeof range) {\n\t\tcase 'string': r = safe_decode_range(range); break;\n\t\tcase 'number': r = safe_decode_range(sheet[\"!ref\"]); r.s.r = range; break;\n\t\tdefault: r = range;\n\t}\n\tif(header > 0) offset = 0;\n\tvar rr = encode_row(r.s.r);\n\tvar cols = [];\n\tvar out = [];\n\tvar outi = 0, counter = 0;\n\tvar dense = Array.isArray(sheet);\n\tvar R = r.s.r, C = 0, CC = 0;\n\tif(dense && !sheet[R]) sheet[R] = [];\n\tfor(C = r.s.c; C <= r.e.c; ++C) {\n\t\tcols[C] = encode_col(C);\n\t\tval = dense ? sheet[R][C] : sheet[cols[C] + rr];\n\t\tswitch(header) {\n\t\t\tcase 1: hdr[C] = C - r.s.c; break;\n\t\t\tcase 2: hdr[C] = cols[C]; break;\n\t\t\tcase 3: hdr[C] = o.header[C - r.s.c]; break;\n\t\t\tdefault:\n\t\t\t\tif(val == null) val = {w: \"__EMPTY\", t: \"s\"};\n\t\t\t\tvv = v = format_cell(val, null, o);\n\t\t\t\tcounter = 0;\n\t\t\t\tfor(CC = 0; CC < hdr.length; ++CC) if(hdr[CC] == vv) vv = v + \"_\" + (++counter);\n\t\t\t\thdr[C] = vv;\n\t\t}\n\t}\n\tfor (R = r.s.r + offset; R <= r.e.r; ++R) {\n\t\tvar row = make_json_row(sheet, r, R, cols, header, hdr, dense, o);\n\t\tif((row.isempty === false) || (header === 1 ? o.blankrows !== false : !!o.blankrows)) out[outi++] = row.row;\n\t}\n\tout.length = outi;\n\treturn out;\n}\n\nvar qreg = /\"/g;\nfunction make_csv_row(sheet, r, R, cols, fs, rs, FS, o) {\n\tvar isempty = true;\n\tvar row = [], txt = \"\", rr = encode_row(R);\n\tfor(var C = r.s.c; C <= r.e.c; ++C) {\n\t\tif (!cols[C]) continue;\n\t\tvar val = o.dense ? (sheet[R]||[])[C]: sheet[cols[C] + rr];\n\t\tif(val == null) txt = \"\";\n\t\telse if(val.v != null) {\n\t\t\tisempty = false;\n\t\t\ttxt = ''+(o.rawNumbers && val.t == \"n\" ? val.v : format_cell(val, null, o));\n\t\t\tfor(var i = 0, cc = 0; i !== txt.length; ++i) if((cc = txt.charCodeAt(i)) === fs || cc === rs || cc === 34 || o.forceQuotes) {txt = \"\\\"\" + txt.replace(qreg, '\"\"') + \"\\\"\"; break; }\n\t\t\tif(txt == \"ID\") txt = '\"ID\"';\n\t\t} else if(val.f != null && !val.F) {\n\t\t\tisempty = false;\n\t\t\ttxt = '=' + val.f; if(txt.indexOf(\",\") >= 0) txt = '\"' + txt.replace(qreg, '\"\"') + '\"';\n\t\t} else txt = \"\";\n\t\t/* NOTE: Excel CSV does not support array formulae */\n\t\trow.push(txt);\n\t}\n\tif(o.blankrows === false && isempty) return null;\n\treturn row.join(FS);\n}\n\nfunction sheet_to_csv(sheet, opts) {\n\tvar out = [];\n\tvar o = opts == null ? {} : opts;\n\tif(sheet == null || sheet[\"!ref\"] == null) return \"\";\n\tvar r = safe_decode_range(sheet[\"!ref\"]);\n\tvar FS = o.FS !== undefined ? o.FS : \",\", fs = FS.charCodeAt(0);\n\tvar RS = o.RS !== undefined ? o.RS : \"\\n\", rs = RS.charCodeAt(0);\n\tvar endregex = new RegExp((FS==\"|\" ? \"\\\\|\" : FS)+\"+$\");\n\tvar row = \"\", cols = [];\n\to.dense = Array.isArray(sheet);\n\tvar colinfo = o.skipHidden && sheet[\"!cols\"] || [];\n\tvar rowinfo = o.skipHidden && sheet[\"!rows\"] || [];\n\tfor(var C = r.s.c; C <= r.e.c; ++C) if (!((colinfo[C]||{}).hidden)) cols[C] = encode_col(C);\n\tfor(var R = r.s.r; R <= r.e.r; ++R) {\n\t\tif ((rowinfo[R]||{}).hidden) continue;\n\t\trow = make_csv_row(sheet, r, R, cols, fs, rs, FS, o);\n\t\tif(row == null) { continue; }\n\t\tif(o.strip) row = row.replace(endregex,\"\");\n\t\tout.push(row + RS);\n\t}\n\tdelete o.dense;\n\treturn out.join(\"\");\n}\n\nfunction sheet_to_txt(sheet, opts) {\n\tif(!opts) opts = {}; opts.FS = \"\\t\"; opts.RS = \"\\n\";\n\tvar s = sheet_to_csv(sheet, opts);\n\tif(typeof cptable == 'undefined' || opts.type == 'string') return s;\n\tvar o = cptable.utils.encode(1200, s, 'str');\n\treturn String.fromCharCode(255) + String.fromCharCode(254) + o;\n}\n\nfunction sheet_to_formulae(sheet) {\n\tvar y = \"\", x, val=\"\";\n\tif(sheet == null || sheet[\"!ref\"] == null) return [];\n\tvar r = safe_decode_range(sheet['!ref']), rr = \"\", cols = [], C;\n\tvar cmds = [];\n\tvar dense = Array.isArray(sheet);\n\tfor(C = r.s.c; C <= r.e.c; ++C) cols[C] = encode_col(C);\n\tfor(var R = r.s.r; R <= r.e.r; ++R) {\n\t\trr = encode_row(R);\n\t\tfor(C = r.s.c; C <= r.e.c; ++C) {\n\t\t\ty = cols[C] + rr;\n\t\t\tx = dense ? (sheet[R]||[])[C] : sheet[y];\n\t\t\tval = \"\";\n\t\t\tif(x === undefined) continue;\n\t\t\telse if(x.F != null) {\n\t\t\t\ty = x.F;\n\t\t\t\tif(!x.f) continue;\n\t\t\t\tval = x.f;\n\t\t\t\tif(y.indexOf(\":\") == -1) y = y + \":\" + y;\n\t\t\t}\n\t\t\tif(x.f != null) val = x.f;\n\t\t\telse if(x.t == 'z') continue;\n\t\t\telse if(x.t == 'n' && x.v != null) val = \"\" + x.v;\n\t\t\telse if(x.t == 'b') val = x.v ? \"TRUE\" : \"FALSE\";\n\t\t\telse if(x.w !== undefined) val = \"'\" + x.w;\n\t\t\telse if(x.v === undefined) continue;\n\t\t\telse if(x.t == 's') val = \"'\" + x.v;\n\t\t\telse val = \"\"+x.v;\n\t\t\tcmds[cmds.length] = y + \"=\" + val;\n\t\t}\n\t}\n\treturn cmds;\n}\n\nfunction sheet_add_json(_ws, js, opts) {\n\tvar o = opts || {};\n\tvar offset = +!o.skipHeader;\n\tvar ws = _ws || ({});\n\tvar _R = 0, _C = 0;\n\tif(ws && o.origin != null) {\n\t\tif(typeof o.origin == 'number') _R = o.origin;\n\t\telse {\n\t\t\tvar _origin = typeof o.origin == \"string\" ? decode_cell(o.origin) : o.origin;\n\t\t\t_R = _origin.r; _C = _origin.c;\n\t\t}\n\t}\n\tvar cell;\n\tvar range = ({s: {c:0, r:0}, e: {c:_C, r:_R + js.length - 1 + offset}});\n\tif(ws['!ref']) {\n\t\tvar _range = safe_decode_range(ws['!ref']);\n\t\trange.e.c = Math.max(range.e.c, _range.e.c);\n\t\trange.e.r = Math.max(range.e.r, _range.e.r);\n\t\tif(_R == -1) { _R = _range.e.r + 1; range.e.r = _R + js.length - 1 + offset; }\n\t} else {\n\t\tif(_R == -1) { _R = 0; range.e.r = js.length - 1 + offset; }\n\t}\n\tvar hdr = o.header || [], C = 0;\n\n\tjs.forEach(function (JS, R) {\n\t\tkeys(JS).forEach(function(k) {\n\t\t\tif((C=hdr.indexOf(k)) == -1) hdr[C=hdr.length] = k;\n\t\t\tvar v = JS[k];\n\t\t\tvar t = 'z';\n\t\t\tvar z = \"\";\n\t\t\tvar ref = encode_cell({c:_C + C,r:_R + R + offset});\n\t\t\tcell = utils.sheet_get_cell(ws, ref);\n\t\t\tif(v && typeof v === 'object' && !(v instanceof Date)){\n\t\t\t\tws[ref] = v;\n\t\t\t} else {\n\t\t\t\tif(typeof v == 'number') t = 'n';\n\t\t\t\telse if(typeof v == 'boolean') t = 'b';\n\t\t\t\telse if(typeof v == 'string') t = 's';\n\t\t\t\telse if(v instanceof Date) {\n\t\t\t\t\tt = 'd';\n\t\t\t\t\tif(!o.cellDates) { t = 'n'; v = datenum(v); }\n\t\t\t\t\tz = (o.dateNF || SSF._table[14]);\n\t\t\t\t}\n\t\t\t\tif(!cell) ws[ref] = cell = ({t:t, v:v});\n\t\t\t\telse {\n\t\t\t\t\tcell.t = t; cell.v = v;\n\t\t\t\t\tdelete cell.w; delete cell.R;\n\t\t\t\t\tif(z) cell.z = z;\n\t\t\t\t}\n\t\t\t\tif(z) cell.z = z;\n\t\t\t}\n\t\t});\n\t});\n\trange.e.c = Math.max(range.e.c, _C + hdr.length - 1);\n\tvar __R = encode_row(_R);\n\tif(offset) for(C = 0; C < hdr.length; ++C) ws[encode_col(C + _C) + __R] = {t:'s', v:hdr[C]};\n\tws['!ref'] = encode_range(range);\n\treturn ws;\n}\nfunction json_to_sheet(js, opts) { return sheet_add_json(null, js, opts); }\n\nvar utils = {\n\tencode_col: encode_col,\n\tencode_row: encode_row,\n\tencode_cell: encode_cell,\n\tencode_range: encode_range,\n\tdecode_col: decode_col,\n\tdecode_row: decode_row,\n\tsplit_cell: split_cell,\n\tdecode_cell: decode_cell,\n\tdecode_range: decode_range,\n\tformat_cell: format_cell,\n\tget_formulae: sheet_to_formulae,\n\tmake_csv: sheet_to_csv,\n\tmake_json: sheet_to_json,\n\tmake_formulae: sheet_to_formulae,\n\tsheet_add_aoa: sheet_add_aoa,\n\tsheet_add_json: sheet_add_json,\n\tsheet_add_dom: sheet_add_dom,\n\taoa_to_sheet: aoa_to_sheet,\n\tjson_to_sheet: json_to_sheet,\n\ttable_to_sheet: parse_dom_table,\n\ttable_to_book: table_to_book,\n\tsheet_to_csv: sheet_to_csv,\n\tsheet_to_txt: sheet_to_txt,\n\tsheet_to_json: sheet_to_json,\n\tsheet_to_html: HTML_.from_sheet,\n\tsheet_to_formulae: sheet_to_formulae,\n\tsheet_to_row_object_array: sheet_to_json\n};\n\n(function(utils) {\nutils.consts = utils.consts || {};\nfunction add_consts(R/*Array*/) { R.forEach(function(a){ utils.consts[a[0]] = a[1]; }); }\n\nfunction get_default(x, y, z) { return x[y] != null ? x[y] : (x[y] = z); }\n\n/* get cell, creating a stub if necessary */\nfunction ws_get_cell_stub(ws, R, C) {\n\t/* A1 cell address */\n\tif(typeof R == \"string\") {\n\t\t/* dense */\n\t\tif(Array.isArray(ws)) {\n\t\t\tvar RC = decode_cell(R);\n\t\t\tif(!ws[RC.r]) ws[RC.r] = [];\n\t\t\treturn ws[RC.r][RC.c] || (ws[RC.r][RC.c] = {t:'z'});\n\t\t}\n\t\treturn ws[R] || (ws[R] = {t:'z'});\n\t}\n\t/* cell address object */\n\tif(typeof R != \"number\") return ws_get_cell_stub(ws, encode_cell(R));\n\t/* R and C are 0-based indices */\n\treturn ws_get_cell_stub(ws, encode_cell({r:R,c:C||0}));\n}\nutils.sheet_get_cell = ws_get_cell_stub;\n\n/* find sheet index for given name / validate index */\nfunction wb_sheet_idx(wb, sh) {\n\tif(typeof sh == \"number\") {\n\t\tif(sh >= 0 && wb.SheetNames.length > sh) return sh;\n\t\tthrow new Error(\"Cannot find sheet # \" + sh);\n\t} else if(typeof sh == \"string\") {\n\t\tvar idx = wb.SheetNames.indexOf(sh);\n\t\tif(idx > -1) return idx;\n\t\tthrow new Error(\"Cannot find sheet name |\" + sh + \"|\");\n\t} else throw new Error(\"Cannot find sheet |\" + sh + \"|\");\n}\n\n/* simple blank workbook object */\nutils.book_new = function() {\n\treturn { SheetNames: [], Sheets: {} };\n};\n\n/* add a worksheet to the end of a given workbook */\nutils.book_append_sheet = function(wb, ws, name) {\n\tif(!name) for(var i = 1; i <= 0xFFFF; ++i, name = undefined) if(wb.SheetNames.indexOf(name = \"Sheet\" + i) == -1) break;\n\tif(!name || wb.SheetNames.length >= 0xFFFF) throw new Error(\"Too many worksheets\");\n\tcheck_ws_name(name);\n\tif(wb.SheetNames.indexOf(name) >= 0) throw new Error(\"Worksheet with name |\" + name + \"| already exists!\");\n\n\twb.SheetNames.push(name);\n\twb.Sheets[name] = ws;\n};\n\n/* set sheet visibility (visible/hidden/very hidden) */\nutils.book_set_sheet_visibility = function(wb, sh, vis) {\n\tget_default(wb,\"Workbook\",{});\n\tget_default(wb.Workbook,\"Sheets\",[]);\n\n\tvar idx = wb_sheet_idx(wb, sh);\n\t// $FlowIgnore\n\tget_default(wb.Workbook.Sheets,idx, {});\n\n\tswitch(vis) {\n\t\tcase 0: case 1: case 2: break;\n\t\tdefault: throw new Error(\"Bad sheet visibility setting \" + vis);\n\t}\n\t// $FlowIgnore\n\twb.Workbook.Sheets[idx].Hidden = vis;\n};\nadd_consts([\n\t[\"SHEET_VISIBLE\", 0],\n\t[\"SHEET_HIDDEN\", 1],\n\t[\"SHEET_VERY_HIDDEN\", 2]\n]);\n\n/* set number format */\nutils.cell_set_number_format = function(cell, fmt) {\n\tcell.z = fmt;\n\treturn cell;\n};\n\n/* set cell hyperlink */\nutils.cell_set_hyperlink = function(cell, target, tooltip) {\n\tif(!target) {\n\t\tdelete cell.l;\n\t} else {\n\t\tcell.l = ({ Target: target });\n\t\tif(tooltip) cell.l.Tooltip = tooltip;\n\t}\n\treturn cell;\n};\nutils.cell_set_internal_link = function(cell, range, tooltip) { return utils.cell_set_hyperlink(cell, \"#\" + range, tooltip); };\n\n/* add to cell comments */\nutils.cell_add_comment = function(cell, text, author) {\n\tif(!cell.c) cell.c = [];\n\tcell.c.push({t:text, a:author||\"SheetJS\"});\n};\n\n/* set array formula and flush related cells 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Readable();\n\n\t\tvar o = opts || {};\n\t\tvar header = o.header != null ? o.header : HTML_.BEGIN;\n\t\tvar footer = o.footer != null ? o.footer : HTML_.END;\n\t\tstream.push(header);\n\t\tvar r = decode_range(ws['!ref']);\n\t\to.dense = Array.isArray(ws);\n\t\tstream.push(HTML_._preamble(ws, r, o));\n\t\tvar R = r.s.r;\n\t\tvar end = false;\n\t\tstream._read = function() {\n\t\t\tif(R > r.e.r) {\n\t\t\t\tif(!end) { end = true; stream.push(\"\" + footer); }\n\t\t\t\treturn stream.push(null);\n\t\t\t}\n\t\t\twhile(R <= r.e.r) {\n\t\t\t\tstream.push(HTML_._row(ws, r, R, o));\n\t\t\t\t++R;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t};\n\t\treturn stream;\n\t};\n\n\tvar write_json_stream = function(sheet, opts) {\n\t\tvar stream = Readable({objectMode:true});\n\n\t\tif(sheet == null || sheet[\"!ref\"] == null) { stream.push(null); return stream; }\n\t\tvar val = {t:'n',v:0}, header = 0, offset = 1, hdr = [], v=0, vv=\"\";\n\t\tvar r = {s:{r:0,c:0},e:{r:0,c:0}};\n\t\tvar o = opts || {};\n\t\tvar range 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true;\n Object.defineProperty(target, descriptor.key, descriptor);\n }\n}\n\nfunction _createClass(Constructor, protoProps, staticProps) {\n if (protoProps) _defineProperties(Constructor.prototype, protoProps);\n if (staticProps) _defineProperties(Constructor, staticProps);\n return Constructor;\n}\n\nmodule.exports = _createClass;","var superPropBase = require(\"./superPropBase\");\n\nfunction _get(target, property, receiver) {\n if (typeof Reflect !== \"undefined\" && Reflect.get) {\n module.exports = _get = Reflect.get;\n } else {\n module.exports = _get = function _get(target, property, receiver) {\n var base = superPropBase(target, property);\n if (!base) return;\n var desc = Object.getOwnPropertyDescriptor(base, property);\n\n if (desc.get) {\n return desc.get.call(receiver);\n }\n\n return desc.value;\n };\n }\n\n return _get(target, property, receiver || target);\n}\n\nmodule.exports = _get;","function _getPrototypeOf(o) {\n module.exports = _getPrototypeOf = Object.setPrototypeOf ? Object.getPrototypeOf : function _getPrototypeOf(o) {\n return o.__proto__ || Object.getPrototypeOf(o);\n };\n return _getPrototypeOf(o);\n}\n\nmodule.exports = _getPrototypeOf;","var setPrototypeOf = require(\"./setPrototypeOf\");\n\nfunction _inherits(subClass, superClass) {\n if (typeof superClass !== \"function\" && superClass !== null) {\n throw new TypeError(\"Super expression must either be null or a function\");\n }\n\n subClass.prototype = Object.create(superClass && superClass.prototype, {\n constructor: {\n value: subClass,\n writable: true,\n configurable: true\n }\n });\n if (superClass) setPrototypeOf(subClass, superClass);\n}\n\nmodule.exports = _inherits;","function _iterableToArray(iter) {\n if (typeof Symbol !== \"undefined\" && Symbol.iterator in Object(iter)) return Array.from(iter);\n}\n\nmodule.exports = _iterableToArray;","function _iterableToArrayLimit(arr, i) {\n if (typeof Symbol === \"undefined\" || !(Symbol.iterator in Object(arr))) return;\n var _arr = [];\n var _n = true;\n var _d = false;\n var _e = undefined;\n\n try {\n for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) {\n _arr.push(_s.value);\n\n if (i && _arr.length === i) break;\n }\n } catch (err) {\n _d = true;\n _e = err;\n } finally {\n try {\n if (!_n && _i[\"return\"] != null) _i[\"return\"]();\n } finally {\n if (_d) throw _e;\n }\n }\n\n return _arr;\n}\n\nmodule.exports = _iterableToArrayLimit;","function _nonIterableRest() {\n throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}\n\nmodule.exports = _nonIterableRest;","function _nonIterableSpread() {\n throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}\n\nmodule.exports = _nonIterableSpread;","var _typeof = require(\"@babel/runtime/helpers/typeof\");\n\nvar assertThisInitialized = require(\"./assertThisInitialized\");\n\nfunction _possibleConstructorReturn(self, call) {\n if (call && (_typeof(call) === \"object\" || typeof call === \"function\")) {\n return call;\n }\n\n return assertThisInitialized(self);\n}\n\nmodule.exports = _possibleConstructorReturn;","function _setPrototypeOf(o, p) {\n module.exports = _setPrototypeOf = Object.setPrototypeOf || function _setPrototypeOf(o, p) {\n o.__proto__ = p;\n return o;\n };\n\n return _setPrototypeOf(o, p);\n}\n\nmodule.exports = _setPrototypeOf;","var arrayWithHoles = require(\"./arrayWithHoles\");\n\nvar iterableToArrayLimit = require(\"./iterableToArrayLimit\");\n\nvar unsupportedIterableToArray = require(\"./unsupportedIterableToArray\");\n\nvar nonIterableRest = require(\"./nonIterableRest\");\n\nfunction _slicedToArray(arr, i) {\n return arrayWithHoles(arr) || iterableToArrayLimit(arr, i) || unsupportedIterableToArray(arr, i) || nonIterableRest();\n}\n\nmodule.exports = _slicedToArray;","var getPrototypeOf = require(\"./getPrototypeOf\");\n\nfunction _superPropBase(object, property) {\n while (!Object.prototype.hasOwnProperty.call(object, property)) {\n object = getPrototypeOf(object);\n if (object === null) break;\n }\n\n return object;\n}\n\nmodule.exports = _superPropBase;","var arrayWithoutHoles = require(\"./arrayWithoutHoles\");\n\nvar iterableToArray = require(\"./iterableToArray\");\n\nvar unsupportedIterableToArray = require(\"./unsupportedIterableToArray\");\n\nvar nonIterableSpread = require(\"./nonIterableSpread\");\n\nfunction _toConsumableArray(arr) {\n return arrayWithoutHoles(arr) || iterableToArray(arr) || unsupportedIterableToArray(arr) || nonIterableSpread();\n}\n\nmodule.exports = _toConsumableArray;","function _typeof(obj) {\n \"@babel/helpers - typeof\";\n\n if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") {\n module.exports = _typeof = function _typeof(obj) {\n return typeof obj;\n };\n } else {\n module.exports = _typeof = function _typeof(obj) {\n return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n };\n }\n\n return _typeof(obj);\n}\n\nmodule.exports = _typeof;","var arrayLikeToArray = require(\"./arrayLikeToArray\");\n\nfunction _unsupportedIterableToArray(o, minLen) {\n if (!o) return;\n if (typeof o === \"string\") return arrayLikeToArray(o, minLen);\n var n = Object.prototype.toString.call(o).slice(8, -1);\n if (n === \"Object\" && o.constructor) n = o.constructor.name;\n if (n === \"Map\" || n === \"Set\") return Array.from(o);\n if (n === \"Arguments\" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return arrayLikeToArray(o, minLen);\n}\n\nmodule.exports = _unsupportedIterableToArray;","module.exports = require(\"regenerator-runtime\");\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nexport const EPSILON_FLOAT32 = 1e-7;\nexport const EPSILON_FLOAT16 = 1e-4;\n/** Convenient class for storing tensor-related data. */\nexport class DataStorage {\n constructor(backend, dataMover) {\n this.backend = backend;\n this.dataMover = dataMover;\n this.data = new WeakMap();\n this.dataIdsCount = 0;\n }\n get(dataId) {\n if (!this.data.has(dataId)) {\n this.dataMover.moveData(this.backend, dataId);\n }\n return this.data.get(dataId);\n }\n set(dataId, value) {\n this.dataIdsCount++;\n this.data.set(dataId, value);\n }\n has(dataId) {\n return this.data.has(dataId);\n }\n delete(dataId) {\n this.dataIdsCount--;\n return this.data.delete(dataId);\n }\n numDataIds() {\n return this.dataIdsCount;\n }\n}\n/**\n * The interface that defines the kernels that should be implemented when\n * adding a new backend. New backends don't need to implement every one of the\n * methods, this can be done gradually (throw an error for unimplemented\n * methods).\n */\nexport class KernelBackend {\n refCount(dataId) {\n return notYetImplemented('refCount');\n }\n incRef(dataId) {\n return notYetImplemented('incRef');\n }\n timerAvailable() {\n return true;\n }\n time(f) {\n return notYetImplemented('time');\n }\n read(dataId) {\n return notYetImplemented('read');\n }\n readSync(dataId) {\n return notYetImplemented('readSync');\n }\n numDataIds() {\n return notYetImplemented('numDataIds');\n }\n disposeData(dataId, force) {\n return notYetImplemented('disposeData');\n }\n write(values, shape, dtype) {\n return notYetImplemented('write');\n }\n move(dataId, values, shape, dtype, refCount) {\n return notYetImplemented('move');\n }\n memory() {\n return notYetImplemented('memory');\n }\n /** Returns the highest precision for floats in bits (e.g. 16 or 32) */\n floatPrecision() {\n return notYetImplemented('floatPrecision');\n }\n /** Returns the smallest representable number. */\n epsilon() {\n return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n }\n dispose() {\n return notYetImplemented('dispose');\n }\n}\nfunction notYetImplemented(kernelName) {\n throw new Error(`'${kernelName}' not yet implemented or not found in the registry. ` +\n `This kernel may not be supported by the tfjs backend you have chosen`);\n}\n//# sourceMappingURL=backend.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * Shuffles the array in-place using Fisher-Yates algorithm.\n *\n * ```js\n * const a = [1, 2, 3, 4, 5];\n * tf.util.shuffle(a);\n * console.log(a);\n * ```\n *\n * @param array The array to shuffle in-place.\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\n// tslint:disable-next-line:no-any\nexport function shuffle(array) {\n let counter = array.length;\n let temp = 0;\n let index = 0;\n // While there are elements in the array\n while (counter > 0) {\n // Pick a random index\n index = (Math.random() * counter) | 0;\n // Decrease counter by 1\n counter--;\n // And swap the last element with it\n temp = array[counter];\n array[counter] = array[index];\n array[index] = temp;\n }\n}\n/**\n * Shuffles two arrays in-place the same way using Fisher-Yates algorithm.\n *\n * ```js\n * const a = [1,2,3,4,5];\n * const b = [11,22,33,44,55];\n * tf.util.shuffleCombo(a, b);\n * console.log(a, b);\n * ```\n *\n * @param array The first array to shuffle in-place.\n * @param array2 The second array to shuffle in-place with the same permutation\n * as the first array.\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function shuffleCombo(\n// tslint:disable-next-line:no-any\narray, \n// tslint:disable-next-line:no-any\narray2) {\n if (array.length !== array2.length) {\n throw new Error(`Array sizes must match to be shuffled together ` +\n `First array length was ${array.length}` +\n `Second array length was ${array2.length}`);\n }\n let counter = array.length;\n let temp, temp2;\n let index = 0;\n // While there are elements in the array\n while (counter > 0) {\n // Pick a random index\n index = (Math.random() * counter) | 0;\n // Decrease counter by 1\n counter--;\n // And swap the last element of each array with it\n temp = array[counter];\n temp2 = array2[counter];\n array[counter] = array[index];\n array2[counter] = array2[index];\n array[index] = temp;\n array2[index] = temp2;\n }\n}\n/** Clamps a value to a specified range. */\nexport function clamp(min, x, max) {\n return Math.max(min, Math.min(x, max));\n}\nexport function nearestLargerEven(val) {\n return val % 2 === 0 ? val : val + 1;\n}\nexport function sum(arr) {\n let sum = 0;\n for (let i = 0; i < arr.length; i++) {\n sum += arr[i];\n }\n return sum;\n}\n/**\n * Returns a sample from a uniform [a, b) distribution.\n *\n * @param a The minimum support (inclusive).\n * @param b The maximum support (exclusive).\n * @return A pseudorandom number on the half-open interval [a,b).\n */\nexport function randUniform(a, b) {\n const r = Math.random();\n return (b * r) + (1 - r) * a;\n}\n/** Returns the squared Euclidean distance between two vectors. */\nexport function distSquared(a, b) {\n let result = 0;\n for (let i = 0; i < a.length; i++) {\n const diff = Number(a[i]) - Number(b[i]);\n result += diff * diff;\n }\n return result;\n}\n/**\n * Asserts that the expression is true. Otherwise throws an error with the\n * provided message.\n *\n * ```js\n * const x = 2;\n * tf.util.assert(x === 2, 'x is not 2');\n * ```\n *\n * @param expr The expression to assert (as a boolean).\n * @param msg A function that returns the message to report when throwing an\n * error. We use a function for performance reasons.\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function assert(expr, msg) {\n if (!expr) {\n throw new Error(typeof msg === 'string' ? msg : msg());\n }\n}\nexport function assertShapesMatch(shapeA, shapeB, errorMessagePrefix = '') {\n assert(arraysEqual(shapeA, shapeB), () => errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n}\nexport function assertNonNull(a) {\n assert(a != null, () => `The input to the tensor constructor must be a non-null value.`);\n}\n// NOTE: We explicitly type out what T extends instead of any so that\n// util.flatten on a nested array of number doesn't try to infer T as a\n// number[][], causing us to explicitly type util.flatten().\n/**\n * Flattens an arbitrarily nested array.\n *\n * ```js\n * const a = [[1, 2], [3, 4], [5, [6, [7]]]];\n * const flat = tf.util.flatten(a);\n * console.log(flat);\n * ```\n *\n * @param arr The nested array to flatten.\n * @param result The destination array which holds the elements.\n * @param skipTypedArray If true, avoids flattening the typed arrays. Defaults\n * to false.\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function flatten(arr, result = [], skipTypedArray = false) {\n if (result == null) {\n result = [];\n }\n if (Array.isArray(arr) || isTypedArray(arr) && !skipTypedArray) {\n for (let i = 0; i < arr.length; ++i) {\n flatten(arr[i], result, skipTypedArray);\n }\n }\n else {\n result.push(arr);\n }\n return result;\n}\n/**\n * Returns the size (number of elements) of the tensor given its shape.\n *\n * ```js\n * const shape = [3, 4, 2];\n * const size = tf.util.sizeFromShape(shape);\n * console.log(size);\n * ```\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function sizeFromShape(shape) {\n if (shape.length === 0) {\n // Scalar.\n return 1;\n }\n let size = shape[0];\n for (let i = 1; i < shape.length; i++) {\n size *= shape[i];\n }\n return size;\n}\nexport function isScalarShape(shape) {\n return shape.length === 0;\n}\nexport function arraysEqual(n1, n2) {\n if (n1 === n2) {\n return true;\n }\n if (n1 == null || n2 == null) {\n return false;\n }\n if (n1.length !== n2.length) {\n return false;\n }\n for (let i = 0; i < n1.length; i++) {\n if (n1[i] !== n2[i]) {\n return false;\n }\n }\n return true;\n}\nexport function isInt(a) {\n return a % 1 === 0;\n}\nexport function tanh(x) {\n // tslint:disable-next-line:no-any\n if (Math.tanh != null) {\n // tslint:disable-next-line:no-any\n return Math.tanh(x);\n }\n if (x === Infinity) {\n return 1;\n }\n else if (x === -Infinity) {\n return -1;\n }\n else {\n const e2x = Math.exp(2 * x);\n return (e2x - 1) / (e2x + 1);\n }\n}\nexport function sizeToSquarishShape(size) {\n const width = Math.ceil(Math.sqrt(size));\n return [width, Math.ceil(size / width)];\n}\n/**\n * Creates a new array with randomized indicies to a given quantity.\n *\n * ```js\n * const randomTen = tf.util.createShuffledIndices(10);\n * console.log(randomTen);\n * ```\n *\n * @param number Quantity of how many shuffled indicies to create.\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function createShuffledIndices(n) {\n const shuffledIndices = new Uint32Array(n);\n for (let i = 0; i < n; ++i) {\n shuffledIndices[i] = i;\n }\n shuffle(shuffledIndices);\n return shuffledIndices;\n}\nexport function rightPad(a, size) {\n if (size <= a.length) {\n return a;\n }\n return a + ' '.repeat(size - a.length);\n}\nexport function repeatedTry(checkFn, delayFn = (counter) => 0, maxCounter) {\n return new Promise((resolve, reject) => {\n let tryCount = 0;\n const tryFn = () => {\n if (checkFn()) {\n resolve();\n return;\n }\n tryCount++;\n const nextBackoff = delayFn(tryCount);\n if (maxCounter != null && tryCount >= maxCounter) {\n reject();\n return;\n }\n setTimeout(tryFn, nextBackoff);\n };\n tryFn();\n });\n}\n/**\n * Given the full size of the array and a shape that may contain -1 as the\n * implicit dimension, returns the inferred shape where -1 is replaced.\n * E.g. For shape=[2, -1, 3] and size=24, it will return [2, 4, 3].\n *\n * @param shape The shape, which may contain -1 in some dimension.\n * @param size The full size (number of elements) of the array.\n * @return The inferred shape where -1 is replaced with the inferred size.\n */\nexport function inferFromImplicitShape(shape, size) {\n let shapeProd = 1;\n let implicitIdx = -1;\n for (let i = 0; i < shape.length; ++i) {\n if (shape[i] >= 0) {\n shapeProd *= shape[i];\n }\n else if (shape[i] === -1) {\n if (implicitIdx !== -1) {\n throw Error(`Shapes can only have 1 implicit size. ` +\n `Found -1 at dim ${implicitIdx} and dim ${i}`);\n }\n implicitIdx = i;\n }\n else if (shape[i] < 0) {\n throw Error(`Shapes can not be < 0. Found ${shape[i]} at dim ${i}`);\n }\n }\n if (implicitIdx === -1) {\n if (size > 0 && size !== shapeProd) {\n throw Error(`Size(${size}) must match the product of shape ${shape}`);\n }\n return shape;\n }\n if (shapeProd === 0) {\n throw Error(`Cannot infer the missing size in [${shape}] when ` +\n `there are 0 elements`);\n }\n if (size % shapeProd !== 0) {\n throw Error(`The implicit shape can't be a fractional number. ` +\n `Got ${size} / ${shapeProd}`);\n }\n const newShape = shape.slice();\n newShape[implicitIdx] = size / shapeProd;\n return newShape;\n}\nexport function parseAxisParam(axis, shape) {\n const rank = shape.length;\n // Normalize input\n axis = axis == null ? shape.map((s, i) => i) : [].concat(axis);\n // Check for valid range\n assert(axis.every(ax => ax >= -rank && ax < rank), () => `All values in axis param must be in range [-${rank}, ${rank}) but ` +\n `got axis ${axis}`);\n // Check for only integers\n assert(axis.every(ax => isInt(ax)), () => `All values in axis param must be integers but ` +\n `got axis ${axis}`);\n // Handle negative axis.\n return axis.map(a => a < 0 ? rank + a : a);\n}\n/** Reduces the shape by removing all dimensions of shape 1. */\nexport function squeezeShape(shape, axis) {\n const newShape = [];\n const keptDims = [];\n const isEmptyArray = axis != null && Array.isArray(axis) && axis.length === 0;\n const axes = (axis == null || isEmptyArray) ?\n null :\n parseAxisParam(axis, shape).sort();\n let j = 0;\n for (let i = 0; i < shape.length; ++i) {\n if (axes != null) {\n if (axes[j] === i && shape[i] !== 1) {\n throw new Error(`Can't squeeze axis ${i} since its dim '${shape[i]}' is not 1`);\n }\n if ((axes[j] == null || axes[j] > i) && shape[i] === 1) {\n newShape.push(shape[i]);\n keptDims.push(i);\n }\n if (axes[j] <= i) {\n j++;\n }\n }\n if (shape[i] !== 1) {\n newShape.push(shape[i]);\n keptDims.push(i);\n }\n }\n return { newShape, keptDims };\n}\nexport function getTypedArrayFromDType(dtype, size) {\n let values = null;\n if (dtype == null || dtype === 'float32') {\n values = new Float32Array(size);\n }\n else if (dtype === 'int32') {\n values = new Int32Array(size);\n }\n else if (dtype === 'bool') {\n values = new Uint8Array(size);\n }\n else {\n throw new Error(`Unknown data type ${dtype}`);\n }\n return values;\n}\nexport function getArrayFromDType(dtype, size) {\n let values = null;\n if (dtype == null || dtype === 'float32') {\n values = new Float32Array(size);\n }\n else if (dtype === 'int32') {\n values = new Int32Array(size);\n }\n else if (dtype === 'bool') {\n values = new Uint8Array(size);\n }\n else if (dtype === 'string') {\n values = new Array(size);\n }\n else {\n throw new Error(`Unknown data type ${dtype}`);\n }\n return values;\n}\nexport function checkConversionForErrors(vals, dtype) {\n for (let i = 0; i < vals.length; i++) {\n const num = vals[i];\n if (isNaN(num) || !isFinite(num)) {\n throw Error(`A tensor of type ${dtype} being uploaded contains ${num}.`);\n }\n }\n}\n/** Returns true if the dtype is valid. */\nexport function isValidDtype(dtype) {\n return dtype === 'bool' || dtype === 'complex64' || dtype === 'float32' ||\n dtype === 'int32' || dtype === 'string';\n}\n/**\n * Returns true if the new type can't encode the old type without loss of\n * precision.\n */\nexport function hasEncodingLoss(oldType, newType) {\n if (newType === 'complex64') {\n return false;\n }\n if (newType === 'float32' && oldType !== 'complex64') {\n return false;\n }\n if (newType === 'int32' && oldType !== 'float32' && oldType !== 'complex64') {\n return false;\n }\n if (newType === 'bool' && oldType === 'bool') {\n return false;\n }\n return true;\n}\nexport function isTypedArray(a) {\n return a instanceof Float32Array || a instanceof Int32Array ||\n a instanceof Uint8Array;\n}\nexport function bytesPerElement(dtype) {\n if (dtype === 'float32' || dtype === 'int32') {\n return 4;\n }\n else if (dtype === 'complex64') {\n return 8;\n }\n else if (dtype === 'bool') {\n return 1;\n }\n else {\n throw new Error(`Unknown dtype ${dtype}`);\n }\n}\n/**\n * Returns the approximate number of bytes allocated in the string array - 2\n * bytes per character. Computing the exact bytes for a native string in JS is\n * not possible since it depends on the encoding of the html page that serves\n * the website.\n */\nexport function bytesFromStringArray(arr) {\n if (arr == null) {\n return 0;\n }\n let bytes = 0;\n arr.forEach(x => bytes += x.length);\n return bytes;\n}\n/** Returns true if the value is a string. */\nexport function isString(value) {\n return typeof value === 'string' || value instanceof String;\n}\nexport function isBoolean(value) {\n return typeof value === 'boolean';\n}\nexport function isNumber(value) {\n return typeof value === 'number';\n}\nexport function inferDtype(values) {\n if (Array.isArray(values)) {\n return inferDtype(values[0]);\n }\n if (values instanceof Float32Array) {\n return 'float32';\n }\n else if (values instanceof Int32Array || values instanceof Uint8Array) {\n return 'int32';\n }\n else if (isNumber(values)) {\n return 'float32';\n }\n else if (isString(values)) {\n return 'string';\n }\n else if (isBoolean(values)) {\n return 'bool';\n }\n return 'float32';\n}\nexport function isFunction(f) {\n return !!(f && f.constructor && f.call && f.apply);\n}\nexport function nearestDivisor(size, start) {\n for (let i = start; i < size; ++i) {\n if (size % i === 0) {\n return i;\n }\n }\n return size;\n}\nexport function computeStrides(shape) {\n const rank = shape.length;\n if (rank < 2) {\n return [];\n }\n // Last dimension has implicit stride of 1, thus having D-1 (instead of D)\n // strides.\n const strides = new Array(rank - 1);\n strides[rank - 2] = shape[rank - 1];\n for (let i = rank - 3; i >= 0; --i) {\n strides[i] = strides[i + 1] * shape[i + 1];\n }\n return strides;\n}\nfunction createNestedArray(offset, shape, a, isComplex = false) {\n const ret = new Array();\n if (shape.length === 1) {\n const d = shape[0] * (isComplex ? 2 : 1);\n for (let i = 0; i < d; i++) {\n ret[i] = a[offset + i];\n }\n }\n else {\n const d = shape[0];\n const rest = shape.slice(1);\n const len = rest.reduce((acc, c) => acc * c) * (isComplex ? 2 : 1);\n for (let i = 0; i < d; i++) {\n ret[i] = createNestedArray(offset + i * len, rest, a, isComplex);\n }\n }\n return ret;\n}\n// Provide a nested array of TypedArray in given shape.\nexport function toNestedArray(shape, a, isComplex = false) {\n if (shape.length === 0) {\n // Scalar type should return a single number.\n return a[0];\n }\n const size = shape.reduce((acc, c) => acc * c) * (isComplex ? 2 : 1);\n if (size === 0) {\n // A tensor with shape zero should be turned into empty list.\n return [];\n }\n if (size !== a.length) {\n throw new Error(`[${shape}] does not match the input size ${a.length}${isComplex ? ' for a complex tensor' : ''}.`);\n }\n return createNestedArray(0, shape, a, isComplex);\n}\nexport function makeOnesTypedArray(size, dtype) {\n const array = makeZerosTypedArray(size, dtype);\n for (let i = 0; i < array.length; i++) {\n array[i] = 1;\n }\n return array;\n}\nexport function makeZerosTypedArray(size, dtype) {\n if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n return new Float32Array(size);\n }\n else if (dtype === 'int32') {\n return new Int32Array(size);\n }\n else if (dtype === 'bool') {\n return new Uint8Array(size);\n }\n else {\n throw new Error(`Unknown data type ${dtype}`);\n }\n}\n/**\n * Make nested `TypedArray` filled with zeros.\n * @param shape The shape information for the nested array.\n * @param dtype dtype of the array element.\n */\nexport function makeZerosNestedTypedArray(shape, dtype) {\n const size = shape.reduce((prev, curr) => prev * curr, 1);\n if (dtype == null || dtype === 'float32') {\n return toNestedArray(shape, new Float32Array(size));\n }\n else if (dtype === 'int32') {\n return toNestedArray(shape, new Int32Array(size));\n }\n else if (dtype === 'bool') {\n return toNestedArray(shape, new Uint8Array(size));\n }\n else {\n throw new Error(`Unknown data type ${dtype}`);\n }\n}\nexport function assertNonNegativeIntegerDimensions(shape) {\n shape.forEach(dimSize => {\n assert(Number.isInteger(dimSize) && dimSize >= 0, () => `Tensor must have a shape comprised of positive integers but got ` +\n `shape [${shape}].`);\n });\n}\n/**\n * Computes flat index for a given location (multidimentionsal index) in a\n * Tensor/multidimensional array.\n *\n * @param locs Location in the tensor.\n * @param rank Rank of the tensor.\n * @param strides Tensor strides.\n */\nexport function locToIndex(locs, rank, strides) {\n if (rank === 0) {\n return 0;\n }\n else if (rank === 1) {\n return locs[0];\n }\n let index = locs[locs.length - 1];\n for (let i = 0; i < locs.length - 1; ++i) {\n index += strides[i] * locs[i];\n }\n return index;\n}\n/**\n * Computes the location (multidimensional index) in a tensor/multidimentional\n * array for a given flat index.\n *\n * @param index Index in flat array.\n * @param rank Rank of tensor.\n * @param strides Strides of tensor.\n */\nexport function indexToLoc(index, rank, strides) {\n if (rank === 0) {\n return [];\n }\n else if (rank === 1) {\n return [index];\n }\n const locs = new Array(rank);\n for (let i = 0; i < locs.length - 1; ++i) {\n locs[i] = Math.floor(index / strides[i]);\n index -= locs[i] * strides[i];\n }\n locs[locs.length - 1] = index;\n return locs;\n}\n/**\n * This method asserts whether an object is a Promise instance.\n * @param object\n */\n// tslint:disable-next-line: no-any\nexport function isPromise(object) {\n // We chose to not use 'obj instanceOf Promise' for two reasons:\n // 1. It only reliably works for es6 Promise, not other Promise\n // implementations.\n // 2. It doesn't work with framework that uses zone.js. zone.js monkey patch\n // the async calls, so it is possible the obj (patched) is comparing to a\n // pre-patched Promise.\n return object && object.then && typeof object.then === 'function';\n}\n//# sourceMappingURL=util_base.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { isPromise } from './util_base';\n// Expects flags from URL in the format ?tfjsflags=FLAG1:1,FLAG2:true.\nconst TENSORFLOWJS_FLAGS_PREFIX = 'tfjsflags';\n/**\n * The environment contains evaluated flags as well as the registered platform.\n * This is always used as a global singleton and can be retrieved with\n * `tf.env()`.\n *\n * @doc {heading: 'Environment'}\n */\nexport class Environment {\n // tslint:disable-next-line: no-any\n constructor(global) {\n this.global = global;\n this.flags = {};\n this.flagRegistry = {};\n this.urlFlags = {};\n // Jasmine spies on this in 'environment_test.ts'\n this.getQueryParams = getQueryParams;\n this.populateURLFlags();\n }\n setPlatform(platformName, platform) {\n if (this.platform != null) {\n console.warn(`Platform ${this.platformName} has already been set. ` +\n `Overwriting the platform with ${platform}.`);\n }\n this.platformName = platformName;\n this.platform = platform;\n }\n registerFlag(flagName, evaluationFn, setHook) {\n this.flagRegistry[flagName] = { evaluationFn, setHook };\n // Override the flag value from the URL. This has to happen here because the\n // environment is initialized before flags get registered.\n if (this.urlFlags[flagName] != null) {\n const flagValue = this.urlFlags[flagName];\n console.warn(`Setting feature override from URL ${flagName}: ${flagValue}.`);\n this.set(flagName, flagValue);\n }\n }\n async getAsync(flagName) {\n if (flagName in this.flags) {\n return this.flags[flagName];\n }\n this.flags[flagName] = await this.evaluateFlag(flagName);\n return this.flags[flagName];\n }\n get(flagName) {\n if (flagName in this.flags) {\n return this.flags[flagName];\n }\n const flagValue = this.evaluateFlag(flagName);\n if (isPromise(flagValue)) {\n throw new Error(`Flag ${flagName} cannot be synchronously evaluated. ` +\n `Please use getAsync() instead.`);\n }\n this.flags[flagName] = flagValue;\n return this.flags[flagName];\n }\n getNumber(flagName) {\n return this.get(flagName);\n }\n getBool(flagName) {\n return this.get(flagName);\n }\n getFlags() {\n return this.flags;\n }\n // For backwards compatibility.\n get features() {\n return this.flags;\n }\n set(flagName, value) {\n if (this.flagRegistry[flagName] == null) {\n throw new Error(`Cannot set flag ${flagName} as it has not been registered.`);\n }\n this.flags[flagName] = value;\n if (this.flagRegistry[flagName].setHook != null) {\n this.flagRegistry[flagName].setHook(value);\n }\n }\n evaluateFlag(flagName) {\n if (this.flagRegistry[flagName] == null) {\n throw new Error(`Cannot evaluate flag '${flagName}': no evaluation function found.`);\n }\n return this.flagRegistry[flagName].evaluationFn();\n }\n setFlags(flags) {\n this.flags = Object.assign({}, flags);\n }\n reset() {\n this.flags = {};\n this.urlFlags = {};\n this.populateURLFlags();\n }\n populateURLFlags() {\n if (typeof this.global === 'undefined' ||\n typeof this.global.location === 'undefined' ||\n typeof this.global.location.search === 'undefined') {\n return;\n }\n const urlParams = this.getQueryParams(this.global.location.search);\n if (TENSORFLOWJS_FLAGS_PREFIX in urlParams) {\n const keyValues = urlParams[TENSORFLOWJS_FLAGS_PREFIX].split(',');\n keyValues.forEach(keyValue => {\n const [key, value] = keyValue.split(':');\n this.urlFlags[key] = parseValue(key, value);\n });\n }\n }\n}\nexport function getQueryParams(queryString) {\n const params = {};\n queryString.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, (s, ...t) => {\n decodeParam(params, t[0], t[1]);\n return t.join('=');\n });\n return params;\n}\nfunction decodeParam(params, name, value) {\n params[decodeURIComponent(name)] = decodeURIComponent(value || '');\n}\nfunction parseValue(flagName, value) {\n value = value.toLowerCase();\n if (value === 'true' || value === 'false') {\n return value === 'true';\n }\n else if (`${+value}` === value) {\n return +value;\n }\n throw new Error(`Could not parse value flag value ${value} for flag ${flagName}.`);\n}\n/**\n * Returns the current environment (a global singleton).\n *\n * The environment object contains the evaluated feature values as well as the\n * active platform.\n *\n * @doc {heading: 'Environment'}\n */\nexport function env() {\n return ENV;\n}\nexport let ENV = null;\nexport function setEnvironmentGlobal(environment) {\n ENV = environment;\n}\n//# sourceMappingURL=environment.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// Note that the identifier globalNameSpace is scoped to this module, but will\n// always resolve to the same global object regardless of how the module is\n// resolved.\n// tslint:disable-next-line:no-any\nlet globalNameSpace;\n// tslint:disable-next-line:no-any\nexport function getGlobalNamespace() {\n if (globalNameSpace == null) {\n // tslint:disable-next-line:no-any\n let ns;\n if (typeof (window) !== 'undefined') {\n ns = window;\n }\n else if (typeof (global) !== 'undefined') {\n ns = global;\n }\n else if (typeof (process) !== 'undefined') {\n ns = process;\n }\n else if (typeof (self) !== 'undefined') {\n ns = self;\n }\n else {\n throw new Error('Could not find a global object');\n }\n globalNameSpace = ns;\n }\n return globalNameSpace;\n}\n// tslint:disable-next-line:no-any\nfunction getGlobalMap() {\n const ns = getGlobalNamespace();\n if (ns._tfGlobals == null) {\n ns._tfGlobals = new Map();\n }\n return ns._tfGlobals;\n}\n/**\n * Returns a globally accessible 'singleton' object.\n *\n * @param key the name of the object\n * @param init a function to initialize to initialize this object\n * the first time it is fetched.\n */\nexport function getGlobal(key, init) {\n const globalMap = getGlobalMap();\n if (globalMap.has(key)) {\n return globalMap.get(key);\n }\n else {\n const singleton = init();\n globalMap.set(key, singleton);\n return globalMap.get(key);\n }\n}\n//# sourceMappingURL=global_util.js.map","export const Abs = 'Abs';\nexport const Acos = 'Acos';\nexport const Acosh = 'Acosh';\nexport const Add = 'Add';\nexport const AddN = 'AddN';\nexport const All = 'All';\nexport const Any = 'Any';\nexport const ArgMax = 'ArgMax';\nexport const ArgMin = 'ArgMin';\nexport const Asin = 'Asin';\nexport const Asinh = 'Asinh';\nexport const Atan = 'Atan';\nexport const Atanh = 'Atanh';\nexport const Atan2 = 'Atan2';\nexport const AvgPool = 'AvgPool';\nexport const AvgPoolGrad = 'AvgPoolGrad';\nexport const AvgPool3D = 'AvgPool3D';\nexport const AvgPool3DGrad = 'AvgPool3DGrad';\nexport const BatchMatMul = 'BatchMatMul';\nexport const BatchToSpaceND = 'BatchToSpaceND';\nexport const Bincount = 'Bincount';\nexport const BroadcastTo = 'BroadcastTo';\nexport const Cast = 'Cast';\nexport const Ceil = 'Ceil';\nexport const ClipByValue = 'ClipByValue';\nexport const Complex = 'Complex';\nexport const ComplexAbs = 'ComplexAbs';\nexport const Concat = 'Concat';\nexport const Conv2D = 'Conv2D';\nexport const Conv2DBackpropFilter = 'Conv2DBackpropFilter';\nexport const Conv2DBackpropInput = 'Conv2DBackpropInput';\nexport const Conv3D = 'Conv3D';\nexport const Conv3DBackpropFilterV2 = 'Conv3DBackpropFilterV2';\nexport const Conv3DBackpropInputV2 = 'Conv3DBackpropInputV2';\nexport const Cos = 'Cos';\nexport const Cosh = 'Cosh';\nexport const Cumsum = 'Cumsum';\nexport const CropAndResize = 'CropAndResize';\nexport const DenseBincount = 'DenseBincount';\nexport const DepthToSpace = 'DepthToSpace';\nexport const DepthwiseConv2dNative = 'DepthwiseConv2dNative';\nexport const DepthwiseConv2dNativeBackpropFilter = 'DepthwiseConv2dNativeBackpropFilter';\nexport const DepthwiseConv2dNativeBackpropInput = 'DepthwiseConv2dNativeBackpropInput';\nexport const Diag = 'Diag';\nexport const Dilation2D = 'Dilation2D';\nexport const Dilation2DBackpropInput = 'Dilation2DBackpropInput';\nexport const Dilation2DBackpropFilter = 'Dilation2DBackpropFilter';\nexport const RealDiv = 'RealDiv';\nexport const Einsum = 'Einsum';\nexport const Elu = 'Elu';\nexport const EluGrad = 'EluGrad';\nexport const Erf = 'Erf';\nexport const Equal = 'Equal';\nexport const Exp = 'Exp';\nexport const ExpandDims = 'ExpandDims';\nexport const Expm1 = 'Expm1';\nexport const FFT = 'FFT';\nexport const Fill = 'Fill';\nexport const FlipLeftRight = 'FlipLeftRight';\nexport const Floor = 'Floor';\nexport const FloorDiv = 'FloorDiv';\nexport const FusedBatchNorm = 'FusedBatchNorm';\nexport const GatherV2 = 'GatherV2';\nexport const GatherNd = 'GatherNd';\nexport const Greater = 'Greater';\nexport const GreaterEqual = 'GreaterEqual';\nexport const Identity = 'Identity';\nexport const IFFT = 'IFFT';\nexport const Imag = 'Imag';\nexport const IsFinite = 'IsFinite';\nexport const IsInf = 'IsInf';\nexport const IsNan = 'IsNan';\nexport const LeakyRelu = 'LeakyRelu';\nexport const Less = 'Less';\nexport const LessEqual = 'LessEqual';\nexport const LinSpace = 'LinSpace';\nexport const Log = 'Log';\nexport const Log1p = 'Log1p';\nexport const LogicalAnd = 'LogicalAnd';\nexport const LogicalNot = 'LogicalNot';\nexport const LogicalOr = 'LogicalOr';\nexport const LogSoftmax = 'LogSoftmax';\nexport const LRN = 'LRN';\nexport const LRNGrad = 'LRNGrad';\nexport const Max = 'Max';\nexport const Maximum = 'Maximum';\nexport const MaxPool = 'MaxPool';\nexport const MaxPoolGrad = 'MaxPoolGrad';\nexport const MaxPool3D = 'MaxPool3D';\nexport const MaxPool3DGrad = 'MaxPool3DGrad';\nexport const MaxPoolWithArgmax = 'MaxPoolWithArgmax';\nexport const Mean = 'Mean';\nexport const Min = 'Min';\nexport const Minimum = 'Minimum';\nexport const MirrorPad = 'MirrorPad';\nexport const Mod = 'Mod';\nexport const Multinomial = 'Multinomial';\nexport const Multiply = 'Multiply';\nexport const Neg = 'Neg';\nexport const NotEqual = 'NotEqual';\nexport const NonMaxSuppressionV3 = 'NonMaxSuppressionV3';\nexport const NonMaxSuppressionV4 = 'NonMaxSuppressionV4';\nexport const NonMaxSuppressionV5 = 'NonMaxSuppressionV5';\nexport const OnesLike = 'OnesLike';\nexport const OneHot = 'OneHot';\nexport const Pack = 'Pack';\nexport const PadV2 = 'PadV2';\nexport const Pool = 'Pool';\nexport const Pow = 'Pow';\nexport const Prelu = 'Prelu';\nexport const Prod = 'Prod';\nexport const Range = 'Range';\nexport const Real = 'Real';\nexport const Reciprocal = 'Reciprocal';\nexport const Relu = 'Relu';\nexport const Reshape = 'Reshape';\nexport const ResizeNearestNeighbor = 'ResizeNearestNeighbor';\nexport const ResizeNearestNeighborGrad = 'ResizeNearestNeighborGrad';\nexport const ResizeBilinear = 'ResizeBilinear';\nexport const ResizeBilinearGrad = 'ResizeBilinearGrad';\nexport const Relu6 = 'Relu6';\nexport const Reverse = 'Reverse';\nexport const Round = 'Round';\nexport const Rsqrt = 'Rsqrt';\nexport const ScatterNd = 'ScatterNd';\nexport const Select = 'Select';\nexport const Selu = 'Selu';\nexport const Slice = 'Slice';\nexport const Sin = 'Sin';\nexport const Sinh = 'Sinh';\nexport const Sign = 'Sign';\nexport const Sigmoid = 'Sigmoid';\nexport const Softplus = 'Softplus';\nexport const Sqrt = 'Sqrt';\nexport const Sum = 'Sum';\nexport const SpaceToBatchND = 'SpaceToBatchND';\nexport const SplitV = 'SplitV';\nexport const Softmax = 'Softmax';\nexport const SparseFillEmptyRows = 'SparseFillEmptyRows';\nexport const SparseReshape = 'SparseReshape';\nexport const SparseToDense = 'SparseToDense';\nexport const SquaredDifference = 'SquaredDifference';\nexport const Square = 'Square';\nexport const StridedSlice = 'StridedSlice';\nexport const Sub = 'Sub';\nexport const Tan = 'Tan';\nexport const Tanh = 'Tanh';\nexport const Tile = 'Tile';\nexport const TopK = 'TopK';\nexport const Transform = 'Transform';\nexport const Transpose = 'Transpose';\nexport const Unique = 'Unique';\nexport const Unpack = 'Unpack';\nexport const UnsortedSegmentSum = 'UnsortedSegmentSum';\nexport const ZerosLike = 'ZerosLike';\n/**\n * TensorFlow.js-only kernels\n */\nexport const Step = 'Step';\nexport const FromPixels = 'FromPixels';\nexport const RotateWithOffset = 'RotateWithOffset';\nexport const _FusedMatMul = '_FusedMatMul';\nexport const FusedConv2D = 'FusedConv2D';\nexport const FusedDepthwiseConv2D = 'FusedDepthwiseConv2D';\n//# sourceMappingURL=kernel_names.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { env } from './environment';\nimport { getGlobal } from './global_util';\nconst kernelRegistry = getGlobal('kernelRegistry', () => new Map());\nconst gradRegistry = getGlobal('gradRegistry', () => new Map());\n/**\n * Returns the kernel function (code) associated with the provided names.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n */\nexport function getKernel(kernelName, backendName) {\n const key = makeKey(kernelName, backendName);\n return kernelRegistry.get(key);\n}\n/**\n * Returns the registered gradient info associated with the provided kernel.\n * @param kernelName The official TF kernel name.\n */\nexport function getGradient(kernelName) {\n return gradRegistry.get(kernelName);\n}\nexport function getKernelsForBackend(backendName) {\n const it = kernelRegistry.entries();\n const result = [];\n while (true) {\n const { done, value } = it.next();\n if (done) {\n break;\n }\n const [key, config] = value;\n const [backend,] = key.split('_');\n if (backend === backendName) {\n result.push(config);\n }\n }\n return result;\n}\n/**\n * Registers the function (forward pass) for the kernel in a global registry.\n *\n * @param config A config object with the following properties:\n * - `kernelName` The official name of the kernel.\n * - `backendName` The official name of the backend.\n * - `kernelFunc` The function to run during the forward pass of the kernel.\n * - `setupFunc` Optional. Gets called once, after the backend initializes.\n * - `disposeFunc` Optional. Gets called once, right before the backend is\n * disposed.\n */\nexport function registerKernel(config) {\n const { kernelName, backendName } = config;\n const key = makeKey(kernelName, backendName);\n if (kernelRegistry.has(key)) {\n console.warn(`The kernel '${kernelName}' for backend ` +\n `'${backendName}' is already registered`);\n }\n kernelRegistry.set(key, config);\n}\n/**\n * Registers a gradient function for a given kernel in the global registry,\n * to be used during the back-propagation of that kernel.\n *\n * @param config An object with the following properties:\n * - `kernelName` The name of the kernel that the gradient function is for.\n * - `gradFunc` The function to run during back-propagation.\n */\nexport function registerGradient(config) {\n const { kernelName } = config;\n if (gradRegistry.has(kernelName)) {\n // TODO (yassogba) after 3.0 assess whether we need to keep this gated\n // to debug mode.\n if (env().getBool('DEBUG')) {\n console.warn(`Overriding the gradient for '${kernelName}'`);\n }\n }\n gradRegistry.set(kernelName, config);\n}\n/**\n * Removes the kernel function from the registry.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n *\n */\nexport function unregisterKernel(kernelName, backendName) {\n const key = makeKey(kernelName, backendName);\n if (!kernelRegistry.has(key)) {\n throw new Error(`The kernel '${kernelName}' for backend ` +\n `'${backendName}' is not registered`);\n }\n kernelRegistry.delete(key);\n}\n/** Removes the registered gradient from the global registry. */\nexport function unregisterGradient(kernelName) {\n if (!gradRegistry.has(kernelName)) {\n throw new Error(`The gradient '${kernelName}' for backend is not registered`);\n }\n gradRegistry.delete(kernelName);\n}\n/**\n * Finds kernels that have already been registered to a backend and re-registers\n * them for a new backend. Useful for registering custom backends.\n * @param registeredBackendName Already registered backend.\n * @param newBackendName New backend.\n */\nexport function copyRegisteredKernels(registeredBackendName, newBackendName) {\n const kernels = getKernelsForBackend(registeredBackendName);\n kernels.forEach(kernelConfig => {\n const newKernelConfig = Object.assign({}, kernelConfig, { backendName: newBackendName });\n registerKernel(newKernelConfig);\n });\n}\nfunction makeKey(kernelName, backendName) {\n return `${backendName}_${kernelName}`;\n}\n//# sourceMappingURL=kernel_registry.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { env } from './environment';\nimport * as base from './util_base';\nexport * from './util_base';\n/**\n * Create typed array for scalar value. Used for storing in `DataStorage`.\n */\nexport function createScalarValue(value, dtype) {\n if (dtype === 'string') {\n return encodeString(value);\n }\n return toTypedArray([value], dtype);\n}\nfunction noConversionNeeded(a, dtype) {\n return (a instanceof Float32Array && dtype === 'float32') ||\n (a instanceof Int32Array && dtype === 'int32') ||\n (a instanceof Uint8Array && dtype === 'bool');\n}\nexport function toTypedArray(a, dtype) {\n if (dtype === 'string') {\n throw new Error('Cannot convert a string[] to a TypedArray');\n }\n if (Array.isArray(a)) {\n a = base.flatten(a);\n }\n if (env().getBool('DEBUG')) {\n base.checkConversionForErrors(a, dtype);\n }\n if (noConversionNeeded(a, dtype)) {\n return a;\n }\n if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n return new Float32Array(a);\n }\n else if (dtype === 'int32') {\n return new Int32Array(a);\n }\n else if (dtype === 'bool') {\n const bool = new Uint8Array(a.length);\n for (let i = 0; i < bool.length; ++i) {\n if (Math.round(a[i]) !== 0) {\n bool[i] = 1;\n }\n }\n return bool;\n }\n else {\n throw new Error(`Unknown data type ${dtype}`);\n }\n}\n/**\n * Returns the current high-resolution time in milliseconds relative to an\n * arbitrary time in the past. It works across different platforms (node.js,\n * browsers).\n *\n * ```js\n * console.log(tf.util.now());\n * ```\n *\n * @doc {heading: 'Util', namespace: 'util'}\n */\nexport function now() {\n return env().platform.now();\n}\n/**\n * Returns a platform-specific implementation of\n * [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n *\n * If `fetch` is defined on the global object (`window`, `process`, etc.),\n * `tf.util.fetch` returns that function.\n *\n * If not, `tf.util.fetch` returns a platform-specific solution.\n *\n * ```js\n * const resource = await tf.util.fetch('https://unpkg.com/@tensorflow/tfjs');\n * // handle response\n * ```\n *\n * @doc {heading: 'Util'}\n */\nexport function fetch(path, requestInits) {\n return env().platform.fetch(path, requestInits);\n}\n/**\n * Encodes the provided string into bytes using the provided encoding scheme.\n *\n * @param s The string to encode.\n * @param encoding The encoding scheme. Defaults to utf-8.\n *\n * @doc {heading: 'Util'}\n */\nexport function encodeString(s, encoding = 'utf-8') {\n encoding = encoding || 'utf-8';\n return env().platform.encode(s, encoding);\n}\n/**\n * Decodes the provided bytes into a string using the provided encoding scheme.\n * @param bytes The bytes to decode.\n *\n * @param encoding The encoding scheme. Defaults to utf-8.\n *\n * @doc {heading: 'Util'}\n */\nexport function decodeString(bytes, encoding = 'utf-8') {\n encoding = encoding || 'utf-8';\n return env().platform.decode(bytes, encoding);\n}\n//# sourceMappingURL=util.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { env } from './environment';\nimport * as util from './util';\nexport class Profiler {\n constructor(backendTimer, logger) {\n this.backendTimer = backendTimer;\n this.logger = logger;\n if (logger == null) {\n this.logger = new Logger();\n }\n }\n profileKernel(kernelName, inputs, f) {\n let outputs;\n const holdResultWrapperFn = () => {\n outputs = f();\n };\n let timer;\n const start = util.now();\n if (this.backendTimer.timerAvailable()) {\n timer = this.backendTimer.time(holdResultWrapperFn);\n }\n else {\n holdResultWrapperFn();\n for (const output of outputs) {\n output.dataSync();\n }\n timer = Promise.resolve({ kernelMs: util.now() - start });\n }\n if (env().getBool('CHECK_COMPUTATION_FOR_ERRORS')) {\n for (let i = 0; i < outputs.length; i++) {\n const output = outputs[i];\n // Dangling promise here because we don't want to propagate up\n // asynchronicity.\n output.data().then(tensorVals => {\n checkComputationForErrors(tensorVals, output.dtype, kernelName);\n });\n }\n }\n const kernelProfile = {\n kernelName,\n outputs,\n inputs,\n timeMs: timer.then(timing => timing.kernelMs),\n extraInfo: timer.then(timing => timing.getExtraProfileInfo != null ?\n timing.getExtraProfileInfo() :\n '')\n };\n return kernelProfile;\n }\n logKernelProfile(kernelProfile) {\n const { kernelName, outputs, timeMs, inputs, extraInfo } = kernelProfile;\n outputs.forEach(result => {\n Promise.all([result.data(), timeMs, extraInfo]).then(valueContainer => {\n this.logger.logKernelProfile(kernelName, result, valueContainer[0], valueContainer[1], inputs, valueContainer[2]);\n });\n });\n }\n}\nexport function checkComputationForErrors(vals, dtype, kernelName) {\n if (dtype !== 'float32') {\n // Only floating point computations will generate NaN values\n return false;\n }\n for (let i = 0; i < vals.length; i++) {\n const num = vals[i];\n if (isNaN(num) || !isFinite(num)) {\n // Throwing custom exception so behavior is testable.\n console.warn(`Found ${num} in the result of '${kernelName}'`);\n return true;\n }\n }\n return false;\n}\nexport class Logger {\n logKernelProfile(name, result, vals, timeMs, inputs, extraInfo) {\n const time = typeof timeMs === 'number' ? util.rightPad(`${timeMs}ms`, 9) :\n timeMs['error'];\n const paddedName = util.rightPad(name, 25);\n const rank = result.rank;\n const size = result.size;\n const shape = util.rightPad(result.shape.toString(), 14);\n let inputShapesDescription = '';\n for (const name in inputs) {\n const input = inputs[name];\n if (input != null) {\n // The input might be a non-tensor (e.g HTMLImageElement), in which case\n // we claim the output shape as input shape.\n const inputShape = input.shape || result.shape;\n const inputRank = inputShape.length;\n inputShapesDescription +=\n `${name}: ${inputRank}D ${inputRank > 0 ? inputShape : ''} `;\n }\n }\n console.log(`%c${paddedName}\\t%c${time}\\t%c${rank}D ${shape}\\t%c${size}\\t%c${inputShapesDescription}\\t%c${extraInfo}`, 'font-weight:bold', 'color:red', 'color:blue', 'color: orange', 'color: green', 'color: steelblue');\n }\n}\n//# sourceMappingURL=profiler.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { computeStrides, isString, rightPad, sizeFromShape } from './util';\n// Maximum number of values before we decide to show ellipsis.\nconst FORMAT_LIMIT_NUM_VALS = 20;\n// Number of first and last values to show when displaying a, b,...,y, z.\nconst FORMAT_NUM_FIRST_LAST_VALS = 3;\n// Number of significant digits to show.\nconst FORMAT_NUM_SIG_DIGITS = 7;\nexport function tensorToString(vals, shape, dtype, verbose) {\n const strides = computeStrides(shape);\n const padPerCol = computeMaxSizePerColumn(vals, shape, dtype, strides);\n const rank = shape.length;\n const valsLines = subTensorToString(vals, shape, dtype, strides, padPerCol);\n const lines = ['Tensor'];\n if (verbose) {\n lines.push(` dtype: ${dtype}`);\n lines.push(` rank: ${rank}`);\n lines.push(` shape: [${shape}]`);\n lines.push(` values:`);\n }\n lines.push(valsLines.map(l => ' ' + l).join('\\n'));\n return lines.join('\\n');\n}\nfunction computeMaxSizePerColumn(vals, shape, dtype, strides) {\n const n = sizeFromShape(shape);\n const numCols = strides[strides.length - 1];\n const padPerCol = new Array(numCols).fill(0);\n const rank = shape.length;\n const valuesOrTuples = dtype === 'complex64' ? createComplexTuples(vals) : vals;\n if (rank > 1) {\n for (let row = 0; row < n / numCols; row++) {\n const offset = row * numCols;\n for (let j = 0; j < numCols; j++) {\n padPerCol[j] = Math.max(padPerCol[j], valToString(valuesOrTuples[offset + j], 0, dtype).length);\n }\n }\n }\n return padPerCol;\n}\nfunction valToString(val, pad, dtype) {\n let valStr;\n if (Array.isArray(val)) {\n valStr = `${parseFloat(val[0].toFixed(FORMAT_NUM_SIG_DIGITS))} + ` +\n `${parseFloat(val[1].toFixed(FORMAT_NUM_SIG_DIGITS))}j`;\n }\n else if (isString(val)) {\n valStr = `'${val}'`;\n }\n else if (dtype === 'bool') {\n valStr = boolNumToString(val);\n }\n else {\n valStr = parseFloat(val.toFixed(FORMAT_NUM_SIG_DIGITS)).toString();\n }\n return rightPad(valStr, pad);\n}\nfunction boolNumToString(v) {\n return v === 0 ? 'false' : 'true';\n}\nfunction subTensorToString(vals, shape, dtype, strides, padPerCol, isLast = true) {\n const storagePerElement = dtype === 'complex64' ? 2 : 1;\n const size = shape[0];\n const rank = shape.length;\n if (rank === 0) {\n if (dtype === 'complex64') {\n const complexTuple = createComplexTuples(vals);\n return [valToString(complexTuple[0], 0, dtype)];\n }\n if (dtype === 'bool') {\n return [boolNumToString(vals[0])];\n }\n return [vals[0].toString()];\n }\n if (rank === 1) {\n if (size > FORMAT_LIMIT_NUM_VALS) {\n const firstValsSize = FORMAT_NUM_FIRST_LAST_VALS * storagePerElement;\n let firstVals = Array.from(vals.slice(0, firstValsSize));\n let lastVals = Array.from(vals.slice((size - FORMAT_NUM_FIRST_LAST_VALS) * storagePerElement, size * storagePerElement));\n if (dtype === 'complex64') {\n firstVals = createComplexTuples(firstVals);\n lastVals = createComplexTuples(lastVals);\n }\n return [\n '[' +\n firstVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n .join(', ') +\n ', ..., ' +\n lastVals\n .map((x, i) => valToString(x, padPerCol[size - FORMAT_NUM_FIRST_LAST_VALS + i], dtype))\n .join(', ') +\n ']'\n ];\n }\n const displayVals = dtype === 'complex64' ? createComplexTuples(vals) :\n Array.from(vals);\n return [\n '[' +\n displayVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n .join(', ') +\n ']'\n ];\n }\n // The array is rank 2 or more.\n const subshape = shape.slice(1);\n const substrides = strides.slice(1);\n const stride = strides[0] * storagePerElement;\n const lines = [];\n if (size > FORMAT_LIMIT_NUM_VALS) {\n for (let i = 0; i < FORMAT_NUM_FIRST_LAST_VALS; i++) {\n const start = i * stride;\n const end = start + stride;\n lines.push(...subTensorToString(vals.slice(start, end), subshape, dtype, substrides, padPerCol, false /* isLast */));\n }\n lines.push('...');\n for (let i = size - FORMAT_NUM_FIRST_LAST_VALS; i < size; i++) {\n const start = i * stride;\n const end = start + stride;\n lines.push(...subTensorToString(vals.slice(start, end), subshape, dtype, substrides, padPerCol, i === size - 1 /* isLast */));\n }\n }\n else {\n for (let i = 0; i < size; i++) {\n const start = i * stride;\n const end = start + stride;\n lines.push(...subTensorToString(vals.slice(start, end), subshape, dtype, substrides, padPerCol, i === size - 1 /* isLast */));\n }\n }\n const sep = rank === 2 ? ',' : '';\n lines[0] = '[' + lines[0] + sep;\n for (let i = 1; i < lines.length - 1; i++) {\n lines[i] = ' ' + lines[i] + sep;\n }\n let newLineSep = ',\\n';\n for (let i = 2; i < rank; i++) {\n newLineSep += '\\n';\n }\n lines[lines.length - 1] =\n ' ' + lines[lines.length - 1] + ']' + (isLast ? '' : newLineSep);\n return lines;\n}\nfunction createComplexTuples(vals) {\n const complexTuples = [];\n for (let i = 0; i < vals.length; i += 2) {\n complexTuples.push([vals[i], vals[i + 1]]);\n }\n return complexTuples;\n}\n//# sourceMappingURL=tensor_format.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { getGlobal } from './global_util';\nimport { tensorToString } from './tensor_format';\nimport * as util from './util';\nimport { computeStrides, toNestedArray } from './util';\n/**\n * A mutable object, similar to `tf.Tensor`, that allows users to set values\n * at locations before converting to an immutable `tf.Tensor`.\n *\n * See `tf.buffer` for creating a tensor buffer.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\nexport class TensorBuffer {\n constructor(shape, dtype, values) {\n this.dtype = dtype;\n this.shape = shape.slice();\n this.size = util.sizeFromShape(shape);\n if (values != null) {\n const n = values.length;\n util.assert(n === this.size, () => `Length of values '${n}' does not match the size ` +\n `inferred by the shape '${this.size}'.`);\n }\n if (dtype === 'complex64') {\n throw new Error(`complex64 dtype TensorBuffers are not supported. Please create ` +\n `a TensorBuffer for the real and imaginary parts separately and ` +\n `call tf.complex(real, imag).`);\n }\n this.values = values || util.getArrayFromDType(dtype, this.size);\n this.strides = computeStrides(shape);\n }\n /**\n * Sets a value in the buffer at a given location.\n *\n * @param value The value to set.\n * @param locs The location indices.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\n set(value, ...locs) {\n if (locs.length === 0) {\n locs = [0];\n }\n util.assert(locs.length === this.rank, () => `The number of provided coordinates (${locs.length}) must ` +\n `match the rank (${this.rank})`);\n const index = this.locToIndex(locs);\n this.values[index] = value;\n }\n /**\n * Returns the value in the buffer at the provided location.\n *\n * @param locs The location indices.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\n get(...locs) {\n if (locs.length === 0) {\n locs = [0];\n }\n let i = 0;\n for (const loc of locs) {\n if (loc < 0 || loc >= this.shape[i]) {\n const msg = `Requested out of range element at ${locs}. ` +\n ` Buffer shape=${this.shape}`;\n throw new Error(msg);\n }\n i++;\n }\n let index = locs[locs.length - 1];\n for (let i = 0; i < locs.length - 1; ++i) {\n index += this.strides[i] * locs[i];\n }\n return this.values[index];\n }\n locToIndex(locs) {\n if (this.rank === 0) {\n return 0;\n }\n else if (this.rank === 1) {\n return locs[0];\n }\n let index = locs[locs.length - 1];\n for (let i = 0; i < locs.length - 1; ++i) {\n index += this.strides[i] * locs[i];\n }\n return index;\n }\n indexToLoc(index) {\n if (this.rank === 0) {\n return [];\n }\n else if (this.rank === 1) {\n return [index];\n }\n const locs = new Array(this.shape.length);\n for (let i = 0; i < locs.length - 1; ++i) {\n locs[i] = Math.floor(index / this.strides[i]);\n index -= locs[i] * this.strides[i];\n }\n locs[locs.length - 1] = index;\n return locs;\n }\n get rank() {\n return this.shape.length;\n }\n /**\n * Creates an immutable `tf.Tensor` object from the buffer.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\n toTensor() {\n return trackerFn().makeTensor(this.values, this.shape, this.dtype);\n }\n}\n// For tracking tensor creation and disposal.\nlet trackerFn = null;\n// Used by chaining methods to call into ops.\nlet opHandler = null;\n// Used to warn about deprecated methods.\nlet deprecationWarningFn = null;\n// This here so that we can use this method on dev branches and keep the\n// functionality at master.\n// tslint:disable-next-line:no-unused-expression\n[deprecationWarningFn];\n/**\n * An external consumer can register itself as the tensor tracker. This way\n * the Tensor class can notify the tracker for every tensor created and\n * disposed.\n */\nexport function setTensorTracker(fn) {\n trackerFn = fn;\n}\n/**\n * An external consumer can register itself as the op handler. This way the\n * Tensor class can have chaining methods that call into ops via the op\n * handler.\n */\nexport function setOpHandler(handler) {\n opHandler = handler;\n}\n/**\n * Sets the deprecation warning function to be used by this file. This way the\n * Tensor class can be a leaf but still use the environment.\n */\nexport function setDeprecationWarningFn(fn) {\n deprecationWarningFn = fn;\n}\n/**\n * A `tf.Tensor` object represents an immutable, multidimensional array of\n * numbers that has a shape and a data type.\n *\n * For performance reasons, functions that create tensors do not necessarily\n * perform a copy of the data passed to them (e.g. if the data is passed as a\n * `Float32Array`), and changes to the data will change the tensor. This is not\n * a feature and is not supported. To avoid this behavior, use the tensor before\n * changing the input data or create a copy with `copy = tf.add(yourTensor, 0)`.\n *\n * See `tf.tensor` for details on how to create a `tf.Tensor`.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\nexport class Tensor {\n constructor(shape, dtype, dataId, id) {\n /** Whether this tensor has been globally kept. */\n this.kept = false;\n this.isDisposedInternal = false;\n this.shape = shape.slice();\n this.dtype = dtype || 'float32';\n this.size = util.sizeFromShape(shape);\n this.strides = computeStrides(shape);\n this.dataId = dataId;\n this.id = id;\n this.rankType = (this.rank < 5 ? this.rank.toString() : 'higher');\n }\n get rank() {\n return this.shape.length;\n }\n /**\n * Returns a promise of `tf.TensorBuffer` that holds the underlying data.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n async buffer() {\n const vals = await this.data();\n return opHandler.buffer(this.shape, this.dtype, vals);\n }\n /**\n * Returns a `tf.TensorBuffer` that holds the underlying data.\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n bufferSync() {\n return opHandler.buffer(this.shape, this.dtype, this.dataSync());\n }\n /**\n * Returns the tensor data as a nested array. The transfer of data is done\n * asynchronously.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n async array() {\n const vals = await this.data();\n return toNestedArray(this.shape, vals, this.dtype === 'complex64');\n }\n /**\n * Returns the tensor data as a nested array. The transfer of data is done\n * synchronously.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n arraySync() {\n return toNestedArray(this.shape, this.dataSync(), this.dtype === 'complex64');\n }\n /**\n * Asynchronously downloads the values from the `tf.Tensor`. Returns a\n * promise of `TypedArray` that resolves when the computation has finished.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n async data() {\n this.throwIfDisposed();\n const data = trackerFn().read(this.dataId);\n if (this.dtype === 'string') {\n const bytes = await data;\n try {\n return bytes.map(b => util.decodeString(b));\n }\n catch (_a) {\n throw new Error('Failed to decode the string bytes into utf-8. ' +\n 'To get the original bytes, call tensor.bytes().');\n }\n }\n return data;\n }\n /**\n * Synchronously downloads the values from the `tf.Tensor`. This blocks the\n * UI thread until the values are ready, which can cause performance issues.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n dataSync() {\n this.throwIfDisposed();\n const data = trackerFn().readSync(this.dataId);\n if (this.dtype === 'string') {\n try {\n return data.map(b => util.decodeString(b));\n }\n catch (_a) {\n throw new Error('Failed to decode the string bytes into utf-8. ' +\n 'To get the original bytes, call tensor.bytes().');\n }\n }\n return data;\n }\n /** Returns the underlying bytes of the tensor's data. */\n async bytes() {\n this.throwIfDisposed();\n const data = await trackerFn().read(this.dataId);\n if (this.dtype === 'string') {\n return data;\n }\n else {\n return new Uint8Array(data.buffer);\n }\n }\n /**\n * Disposes `tf.Tensor` from memory.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n dispose() {\n if (this.isDisposed) {\n return;\n }\n trackerFn().disposeTensor(this);\n this.isDisposedInternal = true;\n }\n get isDisposed() {\n return this.isDisposedInternal;\n }\n throwIfDisposed() {\n if (this.isDisposed) {\n throw new Error(`Tensor is disposed.`);\n }\n }\n /**\n * Prints the `tf.Tensor`. See `tf.print` for details.\n *\n * @param verbose Whether to print verbose information about the tensor,\n * including dtype and size.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n print(verbose = false) {\n return opHandler.print(this, verbose);\n }\n /**\n * Returns a copy of the tensor. See `tf.clone` for details.\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n clone() {\n this.throwIfDisposed();\n return opHandler.clone(this);\n }\n /**\n * Returns a human-readable description of the tensor. Useful for logging.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n toString(verbose = false) {\n const vals = this.dataSync();\n return tensorToString(vals, this.shape, this.dtype, verbose);\n }\n cast(dtype) {\n this.throwIfDisposed();\n return opHandler.cast(this, dtype);\n }\n variable(trainable = true, name, dtype) {\n this.throwIfDisposed();\n return trackerFn().makeVariable(this, trainable, name, dtype);\n }\n}\nObject.defineProperty(Tensor, Symbol.hasInstance, {\n value: (instance) => {\n // Implementation note: we should use properties of the object that will be\n // defined before the constructor body has finished executing (methods).\n // This is because when this code is transpiled by babel, babel will call\n // classCallCheck before the constructor body is run.\n // See https://github.com/tensorflow/tfjs/issues/3384 for backstory.\n return !!instance && instance.data != null && instance.dataSync != null &&\n instance.throwIfDisposed != null;\n }\n});\nexport function getGlobalTensorClass() {\n // Use getGlobal so that we can augment the Tensor class across package\n // boundaries becase the node resolution alg may result in different modules\n // being returned for this file depending on the path they are loaded from.\n return getGlobal('Tensor', () => {\n return Tensor;\n });\n}\n// Global side effect. Cache global reference to Tensor class\ngetGlobalTensorClass();\n/**\n * A mutable `tf.Tensor`, useful for persisting state, e.g. for training.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\nexport class Variable extends Tensor {\n constructor(initialValue, trainable, name, tensorId) {\n super(initialValue.shape, initialValue.dtype, initialValue.dataId, tensorId);\n this.trainable = trainable;\n this.name = name;\n }\n /**\n * Assign a new `tf.Tensor` to this variable. The new `tf.Tensor` must have\n * the same shape and dtype as the old `tf.Tensor`.\n *\n * @param newValue New tensor to be assigned to this variable.\n *\n * @doc {heading: 'Tensors', subheading: 'Classes'}\n */\n assign(newValue) {\n if (newValue.dtype !== this.dtype) {\n throw new Error(`dtype of the new value (${newValue.dtype}) and ` +\n `previous value (${this.dtype}) must match`);\n }\n if (!util.arraysEqual(newValue.shape, this.shape)) {\n throw new Error(`shape of the new value (${newValue.shape}) and ` +\n `previous value (${this.shape}) must match`);\n }\n trackerFn().disposeTensor(this);\n this.dataId = newValue.dataId;\n trackerFn().incRef(this, null /* backend */);\n }\n dispose() {\n trackerFn().disposeVariable(this);\n this.isDisposedInternal = true;\n }\n}\nObject.defineProperty(Variable, Symbol.hasInstance, {\n value: (instance) => {\n return instance instanceof Tensor && instance.assign != null &&\n instance.assign instanceof Function;\n }\n});\n//# sourceMappingURL=tensor.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nexport var Rank;\n(function (Rank) {\n Rank[\"R0\"] = \"R0\";\n Rank[\"R1\"] = \"R1\";\n Rank[\"R2\"] = \"R2\";\n Rank[\"R3\"] = \"R3\";\n Rank[\"R4\"] = \"R4\";\n Rank[\"R5\"] = \"R5\";\n Rank[\"R6\"] = \"R6\";\n})(Rank || (Rank = {}));\n// Looks for upcasting types. Used, for example, in operations with mixed dtype\n// inputs.\nvar UpcastInt32AndMap;\n(function (UpcastInt32AndMap) {\n UpcastInt32AndMap[\"float32\"] = \"float32\";\n UpcastInt32AndMap[\"int32\"] = \"int32\";\n UpcastInt32AndMap[\"bool\"] = \"int32\";\n UpcastInt32AndMap[\"complex64\"] = \"complex64\";\n})(UpcastInt32AndMap || (UpcastInt32AndMap = {}));\nvar UpcastBoolAndMap;\n(function (UpcastBoolAndMap) {\n UpcastBoolAndMap[\"float32\"] = \"float32\";\n UpcastBoolAndMap[\"int32\"] = \"int32\";\n UpcastBoolAndMap[\"bool\"] = \"bool\";\n UpcastBoolAndMap[\"complex64\"] = \"complex64\";\n})(UpcastBoolAndMap || (UpcastBoolAndMap = {}));\nvar UpcastFloat32AndMap;\n(function (UpcastFloat32AndMap) {\n UpcastFloat32AndMap[\"float32\"] = \"float32\";\n UpcastFloat32AndMap[\"int32\"] = \"float32\";\n UpcastFloat32AndMap[\"bool\"] = \"float32\";\n UpcastFloat32AndMap[\"complex64\"] = \"complex64\";\n})(UpcastFloat32AndMap || (UpcastFloat32AndMap = {}));\nvar UpcastComplex64AndMap;\n(function (UpcastComplex64AndMap) {\n UpcastComplex64AndMap[\"float32\"] = \"complex64\";\n UpcastComplex64AndMap[\"int32\"] = \"complex64\";\n UpcastComplex64AndMap[\"bool\"] = \"complex64\";\n UpcastComplex64AndMap[\"complex64\"] = \"complex64\";\n})(UpcastComplex64AndMap || (UpcastComplex64AndMap = {}));\nconst upcastTypeMap = {\n 'float32': UpcastFloat32AndMap,\n 'int32': UpcastInt32AndMap,\n 'bool': UpcastBoolAndMap,\n 'complex64': UpcastComplex64AndMap\n};\nexport function upcastType(typeA, typeB) {\n if (typeA === 'string' || typeB === 'string') {\n if (typeA === 'string' && typeB === 'string') {\n return 'string';\n }\n throw new Error(`Can not upcast ${typeA} with ${typeB}`);\n }\n return upcastTypeMap[typeA][typeB];\n}\n/** Returns the output type after summation. */\nexport function sumOutType(type) {\n return upcastType(type, 'int32');\n}\n//# sourceMappingURL=types.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { Tensor } from './tensor';\nimport { upcastType } from './types';\nimport { assert } from './util';\nexport function makeTypesMatch(a, b) {\n if (a.dtype === b.dtype) {\n return [a, b];\n }\n const dtype = upcastType(a.dtype, b.dtype);\n return [a.cast(dtype), b.cast(dtype)];\n}\nexport function assertTypesMatch(a, b) {\n assert(a.dtype === b.dtype, () => `The dtypes of the first(${a.dtype}) and` +\n ` second(${b.dtype}) input must match`);\n}\nexport function isTensorInList(tensor, tensorList) {\n return tensorList.some(x => x.id === tensor.id);\n}\n/**\n * Extracts any `Tensor`s found within the provided object.\n *\n * @param container an object that may be a `Tensor` or may directly contain\n * `Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. In general it\n * is safe to pass any object here, except that `Promise`s are not\n * supported.\n * @returns An array of `Tensors` found within the passed object. If the\n * argument is simply a `Tensor', a list containing that `Tensor` is\n * returned. If the object is not a `Tensor` or does not\n * contain `Tensors`, an empty list is returned.\n */\nexport function getTensorsInContainer(result) {\n const list = [];\n const seen = new Set();\n walkTensorContainer(result, list, seen);\n return list;\n}\nfunction walkTensorContainer(container, list, seen) {\n if (container == null) {\n return;\n }\n if (container instanceof Tensor) {\n list.push(container);\n return;\n }\n if (!isIterable(container)) {\n return;\n }\n // Iteration over keys works also for arrays.\n const iterable = container;\n for (const k in iterable) {\n const val = iterable[k];\n if (!seen.has(val)) {\n seen.add(val);\n walkTensorContainer(val, list, seen);\n }\n }\n}\n// tslint:disable-next-line:no-any\nfunction isIterable(obj) {\n return Array.isArray(obj) || typeof obj === 'object';\n}\n//# sourceMappingURL=tensor_util.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { KernelBackend } from './backends/backend';\nimport { Environment, setEnvironmentGlobal } from './environment';\nimport { getGlobalNamespace } from './global_util';\nimport { Add, Cast, Identity } from './kernel_names';\nimport { getGradient, getKernel, getKernelsForBackend } from './kernel_registry';\nimport { Profiler } from './profiler';\nimport { backpropagateGradients, getFilteredNodesXToY } from './tape';\nimport { setTensorTracker, Tensor, Variable } from './tensor';\nimport { getTensorsInContainer } from './tensor_util';\nimport * as util from './util';\nimport { bytesFromStringArray, makeOnesTypedArray, now, sizeFromShape } from './util';\nfunction isRegisteredKernelInvocation(kernelInvocation) {\n return kernelInvocation.kernelName != null;\n}\nclass EngineState {\n constructor() {\n // Public since optimizers will use it.\n this.registeredVariables = {};\n this.nextTapeNodeId = 0;\n this.numBytes = 0;\n this.numTensors = 0;\n this.numStringTensors = 0;\n this.numDataBuffers = 0;\n // Number of nested tf.grad() statements when computing higher-order\n // gradients. E.g. `1` for first-order gradients and `2` for second-order\n // gradients. Used to track if the tape should be removed after a backprop.\n this.gradientDepth = 0;\n // Number of nested kernel calls. When kernel depth is greater than 1, we turn\n // off the tape.\n this.kernelDepth = 0;\n this.scopeStack = [];\n /**\n * Keeps track of the number of data moves during a kernel execution. We\n * maintain a stack since kernels can call other kernels, recursively.\n */\n this.numDataMovesStack = [];\n this.nextScopeId = 0;\n this.tensorInfo = new WeakMap();\n this.profiling = false;\n this.activeProfile = {\n newBytes: 0,\n newTensors: 0,\n peakBytes: 0,\n kernels: [],\n result: null,\n get kernelNames() {\n return Array.from(new Set(this.kernels.map(k => k.name)));\n }\n };\n }\n dispose() {\n for (const variableName in this.registeredVariables) {\n this.registeredVariables[variableName].dispose();\n }\n }\n}\nexport class Engine {\n constructor(ENV) {\n this.ENV = ENV;\n this.registry = {};\n this.registryFactory = {};\n this.pendingBackendInitId = 0;\n this.state = new EngineState();\n }\n async ready() {\n if (this.pendingBackendInit != null) {\n return this.pendingBackendInit.then(() => { });\n }\n if (this.backendInstance != null) {\n return;\n }\n const sortedBackends = this.getSortedBackends();\n for (let i = 0; i < sortedBackends.length; i++) {\n const backendName = sortedBackends[i];\n const success = await this.initializeBackend(backendName).success;\n if (success) {\n await this.setBackend(backendName);\n return;\n }\n }\n throw new Error(`Could not initialize any backends, all backend initializations ` +\n `failed.`);\n }\n get backend() {\n if (this.pendingBackendInit != null) {\n throw new Error(`Backend '${this.backendName}' has not yet been initialized. Make ` +\n `sure to await tf.ready() or await tf.setBackend() before calling ` +\n `other methods`);\n }\n if (this.backendInstance == null) {\n const { name, asyncInit } = this.initializeBackendsAndReturnBest();\n if (asyncInit) {\n throw new Error(`The highest priority backend '${name}' has not yet been ` +\n `initialized. Make sure to await tf.ready() or ` +\n `await tf.setBackend() before calling other methods`);\n }\n this.setBackend(name);\n }\n return this.backendInstance;\n }\n backendNames() {\n return Object.keys(this.registryFactory);\n }\n findBackend(backendName) {\n if (!(backendName in this.registry)) {\n // If the backend hasn't been initialized but we have a registry entry for\n // it, initialize it and return it.\n if (backendName in this.registryFactory) {\n const { asyncInit } = this.initializeBackend(backendName);\n if (asyncInit) {\n // Backend is not ready yet.\n return null;\n }\n }\n else {\n return null;\n }\n }\n return this.registry[backendName];\n }\n findBackendFactory(backendName) {\n if (!(backendName in this.registryFactory)) {\n return null;\n }\n return this.registryFactory[backendName].factory;\n }\n registerBackend(backendName, factory, priority = 1) {\n if (backendName in this.registryFactory) {\n console.warn(`${backendName} backend was already registered. ` +\n `Reusing existing backend factory.`);\n return false;\n }\n this.registryFactory[backendName] = { factory, priority };\n return true;\n }\n async setBackend(backendName) {\n if (this.registryFactory[backendName] == null) {\n throw new Error(`Backend name '${backendName}' not found in registry`);\n }\n this.backendName = backendName;\n if (this.registry[backendName] == null) {\n this.backendInstance = null;\n const { success, asyncInit } = this.initializeBackend(backendName);\n const result = asyncInit ? await success : success;\n if (!result) {\n return false;\n }\n }\n this.backendInstance = this.registry[backendName];\n this.setupRegisteredKernels();\n // Reset the profiler.\n this.profiler = new Profiler(this.backendInstance);\n return true;\n }\n setupRegisteredKernels() {\n const kernels = getKernelsForBackend(this.backendName);\n kernels.forEach(kernel => {\n if (kernel.setupFunc != null) {\n kernel.setupFunc(this.backendInstance);\n }\n });\n }\n disposeRegisteredKernels(backendName) {\n const kernels = getKernelsForBackend(backendName);\n kernels.forEach(kernel => {\n if (kernel.disposeFunc != null) {\n kernel.disposeFunc(this.registry[backendName]);\n }\n });\n }\n /**\n * Initializes a backend by looking up the backend name in the factory\n * registry and calling the factory method. Returns a boolean representing\n * whether the initialization of the backend suceeded. Throws an error if\n * there is no backend in the factory registry.\n */\n initializeBackend(backendName) {\n const registryFactoryEntry = this.registryFactory[backendName];\n if (registryFactoryEntry == null) {\n throw new Error(`Cannot initialize backend ${backendName}, no registration found.`);\n }\n try {\n const backend = registryFactoryEntry.factory();\n /* Test if the factory returns a promise.\n Done in a more liberal way than\n previous 'Promise.resolve(backend)===backend'\n as we needed to account for custom Promise\n implementations (e.g. Angular) */\n if (backend && !(backend instanceof KernelBackend) &&\n typeof backend.then === 'function') {\n const promiseId = ++this.pendingBackendInitId;\n const success = backend\n .then(backendInstance => {\n // Outdated promise. Another backend was set in the meantime.\n if (promiseId < this.pendingBackendInitId) {\n return false;\n }\n this.registry[backendName] = backendInstance;\n this.pendingBackendInit = null;\n return true;\n })\n .catch(err => {\n // Outdated promise. Another backend was set in the meantime.\n if (promiseId < this.pendingBackendInitId) {\n return false;\n }\n this.pendingBackendInit = null;\n console.warn(`Initialization of backend ${backendName} failed`);\n console.warn(err.stack || err.message);\n return false;\n });\n this.pendingBackendInit = success;\n return { success, asyncInit: true };\n }\n else {\n this.registry[backendName] = backend;\n return { success: true, asyncInit: false };\n }\n }\n catch (err) {\n console.warn(`Initialization of backend ${backendName} failed`);\n console.warn(err.stack || err.message);\n return { success: false, asyncInit: false };\n }\n }\n removeBackend(backendName) {\n if (!(backendName in this.registryFactory)) {\n throw new Error(`${backendName} backend not found in registry`);\n }\n if (this.backendName === backendName && this.pendingBackendInit != null) {\n // There is a pending promise of the backend we want to remove. Make it\n // obsolete.\n this.pendingBackendInitId++;\n }\n if (backendName in this.registry) {\n this.disposeRegisteredKernels(backendName);\n this.registry[backendName].dispose();\n delete this.registry[backendName];\n }\n delete this.registryFactory[backendName];\n // Unset the backend if it is active.\n if (this.backendName === backendName) {\n this.pendingBackendInit = null;\n this.backendName = null;\n this.backendInstance = null;\n }\n }\n getSortedBackends() {\n if (Object.keys(this.registryFactory).length === 0) {\n throw new Error('No backend found in registry.');\n }\n return Object.keys(this.registryFactory).sort((a, b) => {\n // Highest priority comes first.\n return this.registryFactory[b].priority -\n this.registryFactory[a].priority;\n });\n }\n initializeBackendsAndReturnBest() {\n const sortedBackends = this.getSortedBackends();\n for (let i = 0; i < sortedBackends.length; i++) {\n const backendName = sortedBackends[i];\n const { success, asyncInit } = this.initializeBackend(backendName);\n if (asyncInit || success) {\n return { name: backendName, asyncInit };\n }\n }\n throw new Error(`Could not initialize any backends, all backend initializations ` +\n `failed.`);\n }\n moveData(backend, dataId) {\n const info = this.state.tensorInfo.get(dataId);\n const srcBackend = info.backend;\n const values = this.readSync(dataId);\n const refCount = srcBackend.refCount(dataId);\n // Delete the tensor from the old backend and move it to the new\n // backend.\n srcBackend.disposeData(dataId, true);\n info.backend = backend;\n backend.move(dataId, values, info.shape, info.dtype, refCount);\n if (this.shouldCheckForMemLeaks()) {\n // Track the number of moves during a kernel execution to correctly\n // detect memory leaks.\n this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1]++;\n }\n }\n tidy(nameOrFn, fn) {\n let name = null;\n if (fn == null) {\n // Called with only 1 argument.\n if (typeof nameOrFn !== 'function') {\n throw new Error('Please provide a function to tidy()');\n }\n fn = nameOrFn;\n }\n else {\n // Called with 2 arguments.\n if (typeof nameOrFn !== 'string' && !(nameOrFn instanceof String)) {\n throw new Error('When calling with two arguments, the first argument ' +\n 'to tidy() must be a string');\n }\n if (typeof fn !== 'function') {\n throw new Error('When calling with two arguments, the 2nd argument ' +\n 'to tidy() must be a function');\n }\n name = nameOrFn;\n // TODO(nsthorat,smilkov): Do operation logging and performance\n // profiling.\n }\n let result;\n return this.scopedRun(() => this.startScope(name), () => this.endScope(result), () => {\n result = fn();\n if (result instanceof Promise) {\n console.error('Cannot return a Promise inside of tidy.');\n }\n return result;\n });\n }\n scopedRun(start, end, f) {\n start();\n try {\n const res = f();\n end();\n return res;\n }\n catch (ex) {\n end();\n throw ex;\n }\n }\n nextTensorId() {\n return Engine.nextTensorId++;\n }\n nextVariableId() {\n return Engine.nextVariableId++;\n }\n /**\n * This method is called instead of the public-facing tensor.clone() when\n * saving a tensor for backwards pass. It makes sure to add the clone\n * operation to the tape regardless of being called inside a kernel\n * execution.\n */\n clone(x) {\n const y = ENGINE.runKernel(Identity, { x });\n const inputs = { x };\n const grad = (dy) => ({\n x: () => {\n const dtype = 'float32';\n const gradInputs = { x: dy };\n const attrs = { dtype };\n return ENGINE.runKernel(Cast, gradInputs, \n // tslint:disable-next-line: no-unnecessary-type-assertion\n attrs);\n }\n });\n const saved = [];\n this.addTapeNode(this.state.activeScope.name, inputs, [y], grad, saved, {});\n return y;\n }\n /**\n * Execute a kernel with the given name and return the output tensor.\n *\n * @param kernelName The name of the kernel to execute.\n * @param inputs A map of input names to tensors.\n * @param attrs A map of attribute names to their values. An attribute is a\n * primitive (non-tensor) input to the kernel.\n * @param inputsToSave A list of tensors, inputs to save for the backprop\n * computation.\n * @param outputsToSave A list of booleans, specifying which output to save\n * for the backprop computation. These are booleans since the output\n * tensors are not visible to the user.\n */\n runKernel(kernelName, inputs, attrs) {\n const hasKernel = getKernel(kernelName, this.backendName) != null;\n if (!hasKernel) {\n throw new Error(`Kernel '${kernelName}' not registered for backend '${this.backendName}'`);\n }\n return this.runKernelFunc({ kernelName, inputs, attrs });\n }\n shouldCheckForMemLeaks() {\n return this.ENV.getBool('IS_TEST');\n }\n checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos) {\n const numDataIdsAfter = this.backend.numDataIds();\n // Count the number of data ids associated with the result of the kernel.\n let numOutputDataIds = 0;\n outInfos.forEach(info => {\n // Complex numbers allocate 3 data ids, one for 'real', one for\n // 'imaginary', and one for the container that holds the former two.\n numOutputDataIds += (info.dtype === 'complex64' ? 3 : 1);\n });\n // Account for the number of moves during kernel execution. A \"data move\"\n // can happen in the middle of a kernel execution, placing a new (key,value)\n // pair in the data storage. Since data moves have net zero effect (we\n // always remove the data from the old backend), we have to cancel them out\n // when detecting memory leaks.\n const numMoves = this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1];\n const dataIdsLeaked = numDataIdsAfter - numDataIdsBefore - numOutputDataIds - numMoves;\n if (dataIdsLeaked > 0) {\n throw new Error(`Backend '${this.backendName}' has an internal memory leak ` +\n `(${dataIdsLeaked} data ids) after running '${kernelName}'`);\n }\n }\n /**\n * Internal helper method to execute a kernel Func\n *\n * Use `runKernel` to execute kernels from outside of engine.\n */\n runKernelFunc(kernelParams) {\n let outputs;\n let saved = [];\n const isTapeOn = this.isTapeOn();\n const startingBytecount = this.state.numBytes;\n const startingNumTensors = this.state.numTensors;\n if (this.shouldCheckForMemLeaks()) {\n this.state.numDataMovesStack.push(0);\n }\n let kernelFunc;\n if (this.backendName == null) {\n // backend has not been initialized yet (backend initialization is lazy\n // can be deferred until an op/ kernel is run).\n // The below getter has side effects that will try to initialize the\n // backend and set properties like this.backendName\n // tslint:disable-next-line: no-unused-expression\n this.backend;\n }\n let out;\n const kernelOrScopeName = isRegisteredKernelInvocation(kernelParams) ?\n kernelParams.kernelName :\n this.state.activeScope != null ? this.state.activeScope.name : '';\n // Create the kernelFunc from either a registered kernel OR passed in\n // forward/backward functions (used by custom grad). In this context a\n // kernelFunc wraps a kernel implementation with some bookkeeping.\n if (isRegisteredKernelInvocation(kernelParams)) {\n const { kernelName, inputs, attrs } = kernelParams;\n if (this.backendName == null) {\n // backend has not been initialized yet (backend initialization is lazy\n // can be deferred until an op/ kernel is run).\n // The below getter has side effects that will try to initialize the\n // backend and set properties like this.backendName\n // tslint:disable-next-line: no-unused-expression\n this.backend;\n }\n const kernel = getKernel(kernelName, this.backendName);\n util.assert(kernel != null, () => `Cannot find registered kernel '${kernelName}' for backend '${this.backendName}'`);\n kernelFunc = () => {\n const numDataIdsBefore = this.backend.numDataIds();\n out = kernel.kernelFunc({ inputs, attrs, backend: this.backend });\n const outInfos = Array.isArray(out) ? out : [out];\n if (this.shouldCheckForMemLeaks()) {\n this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos);\n }\n const outTensors = outInfos.map((outInfo) => {\n // todo (yassogba) remove this option (Tensor) when node backend\n // methods have been modularized and they all return tensorInfo.\n // TensorInfos do not have a rank attribute.\n if (outInfo.rank != null) {\n return outInfo;\n }\n const { dataId, shape, dtype } = outInfo;\n return this.makeTensorFromDataId(dataId, shape, dtype);\n });\n // Save any required inputs and outputs.\n // Do not save unless we are recording to the tape. Otherwise it would\n // cause a mem leak since there would be no backprop for these tensors\n // (which would otherwise dispose them).\n if (isTapeOn) {\n const tensorsToSave = this.getTensorsForGradient(kernelName, inputs, outTensors);\n saved = this.saveTensorsForBackwardMode(tensorsToSave);\n }\n return outTensors;\n };\n }\n else {\n const { forwardFunc } = kernelParams;\n // Running a customGrad op.\n const saveFunc = (tensors) => {\n // Do not save unless we are recording to the tape. Otherwise it would\n // cause a mem leak since we would never run backprop, which disposes\n // the kept tensors.\n if (!isTapeOn) {\n return;\n }\n saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n };\n kernelFunc = () => {\n const numDataIdsBefore = this.backend.numDataIds();\n out = this.tidy(() => forwardFunc(this.backend, saveFunc));\n const outs = (Array.isArray(out) ? out : [out]);\n if (this.shouldCheckForMemLeaks()) {\n // Scope name is used to print a more helpful error message if needed.\n this.checkKernelForMemLeak(kernelOrScopeName, numDataIdsBefore, outs);\n }\n return outs;\n };\n }\n //\n // Run the kernelFunc. Optionally profiling it.\n //\n const { inputs, attrs } = kernelParams;\n const backwardsFunc = isRegisteredKernelInvocation(kernelParams) ?\n null :\n kernelParams.backwardsFunc;\n let kernelProfile;\n this.scopedRun(\n // Stop recording to a tape when running a kernel.\n () => this.state.kernelDepth++, () => this.state.kernelDepth--, () => {\n if (!this.ENV.getBool('DEBUG') && !this.state.profiling) {\n outputs = kernelFunc();\n }\n else {\n kernelProfile = this.profiler.profileKernel(kernelOrScopeName, inputs, () => kernelFunc());\n if (this.ENV.getBool('DEBUG')) {\n this.profiler.logKernelProfile(kernelProfile);\n }\n outputs = kernelProfile.outputs;\n }\n });\n if (isTapeOn) {\n this.addTapeNode(kernelOrScopeName, inputs, outputs, backwardsFunc, saved, attrs);\n }\n if (this.state.profiling) {\n this.state.activeProfile.kernels.push({\n name: kernelOrScopeName,\n bytesAdded: this.state.numBytes - startingBytecount,\n totalBytesSnapshot: this.state.numBytes,\n tensorsAdded: this.state.numTensors - startingNumTensors,\n totalTensorsSnapshot: this.state.numTensors,\n inputShapes: Object.keys(inputs).map(key => inputs[key] != null ? inputs[key].shape : null),\n outputShapes: outputs.map(item => item.shape),\n kernelTimeMs: kernelProfile.timeMs,\n extraInfo: kernelProfile.extraInfo\n });\n }\n return (Array.isArray(out) ? outputs : outputs[0]);\n }\n /**\n * Saves tensors used in forward mode for use in backward mode.\n *\n * @param tensors the list of tensors to save.\n */\n saveTensorsForBackwardMode(tensors) {\n const saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n return saved;\n }\n /**\n * Returns a list of tensors to save for a given gradient calculation.\n *\n * @param kernelName name of kernel to look up gradient for.\n * @param inputs a map of input tensors.\n * @param outputs an array of output tensors from forward mode of kernel.\n */\n getTensorsForGradient(kernelName, inputs, outputs) {\n const gradConfig = getGradient(kernelName);\n if (gradConfig != null) {\n const inputsToSave = gradConfig.inputsToSave || [];\n const outputsToSave = gradConfig.outputsToSave || [];\n // If saveAllInputs is true, all inputs will be saved. Otherwise, inputs\n // specified in inputsToSave will be saved.\n let inputTensorsToSave;\n if (gradConfig.saveAllInputs) {\n util.assert(Array.isArray(inputs), () => 'saveAllInputs is true, expected inputs to be an array.');\n inputTensorsToSave = Object.keys(inputs).map((key) => inputs[key]);\n }\n else {\n inputTensorsToSave = inputsToSave.map((inputName) => inputs[inputName]);\n }\n const outputTensorsToSave = outputs.filter((_, i) => outputsToSave[i]);\n return inputTensorsToSave.concat(outputTensorsToSave);\n }\n // We return an empty list rather than throw an error because the kernel we\n // are looking up may not actually be relevant to backproping through the\n // overall function\n //\n // See 'does not error if irrelevant (pruned) ops are missing grads' test\n // in gradients_test.ts for an example.\n return [];\n }\n /**\n * Internal method used by public APIs for tensor creation. Makes a new\n * tensor with the provided shape, dtype and values. It always\n * creates a new data id and writes the values to the underlying backend.\n */\n makeTensor(values, shape, dtype, backend) {\n if (values == null) {\n throw new Error('Values passed to engine.makeTensor() are null');\n }\n dtype = dtype || 'float32';\n backend = backend || this.backend;\n let backendVals = values;\n if (dtype === 'string' && util.isString(values[0])) {\n backendVals = values.map(d => util.encodeString(d));\n }\n const dataId = backend.write(backendVals, shape, dtype);\n const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n this.trackTensor(t, backend);\n // Count bytes for string tensors.\n if (dtype === 'string') {\n const info = this.state.tensorInfo.get(dataId);\n const newBytes = bytesFromStringArray(backendVals);\n this.state.numBytes += newBytes - info.bytes;\n info.bytes = newBytes;\n }\n return t;\n }\n /**\n * Internal method used by backends. Makes a new tensor\n * that is a wrapper around an existing data id. It doesn't create\n * a new data id, only increments the ref count used in memory tracking.\n */\n makeTensorFromDataId(dataId, shape, dtype, backend) {\n dtype = dtype || 'float32';\n const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n this.trackTensor(t, backend);\n return t;\n }\n makeVariable(initialValue, trainable = true, name, dtype) {\n name = name || this.nextVariableId().toString();\n if (dtype != null && dtype !== initialValue.dtype) {\n initialValue = initialValue.cast(dtype);\n }\n const v = new Variable(initialValue, trainable, name, this.nextTensorId());\n if (this.state.registeredVariables[v.name] != null) {\n throw new Error(`Variable with name ${v.name} was already registered`);\n }\n this.state.registeredVariables[v.name] = v;\n this.incRef(v, this.backend);\n return v;\n }\n trackTensor(a, backend) {\n this.state.numTensors++;\n if (a.dtype === 'string') {\n this.state.numStringTensors++;\n }\n // Bytes for complex numbers are counted by their components. Bytes for\n // string tensors are counted when writing values.\n let bytes = 0;\n if (a.dtype !== 'complex64' && a.dtype !== 'string') {\n bytes = a.size * util.bytesPerElement(a.dtype);\n }\n this.state.numBytes += bytes;\n if (!this.state.tensorInfo.has(a.dataId)) {\n this.state.numDataBuffers++;\n this.state.tensorInfo.set(a.dataId, {\n backend: backend || this.backend,\n dtype: a.dtype,\n shape: a.shape,\n bytes\n });\n }\n if (!(a instanceof Variable)) {\n this.track(a);\n }\n }\n // Track the tensor by dataId and increase the refCount for the dataId in the\n // backend.\n // TODO(pyu10055): This is currently used by makeVariable method, to increase\n // refCount on the backend for the dataId. It can potentially be replaced with\n // Identity op indead of calling backend directly.\n incRef(a, backend) {\n this.trackTensor(a, backend);\n this.backend.incRef(a.dataId);\n }\n removeDataId(dataId, backend) {\n if (this.state.tensorInfo.has(dataId) &&\n this.state.tensorInfo.get(dataId).backend === backend) {\n this.state.tensorInfo.delete(dataId);\n this.state.numDataBuffers--;\n }\n }\n disposeTensor(a) {\n if (!this.state.tensorInfo.has(a.dataId)) {\n return;\n }\n const info = this.state.tensorInfo.get(a.dataId);\n this.state.numTensors--;\n if (a.dtype === 'string') {\n this.state.numStringTensors--;\n this.state.numBytes -= info.bytes;\n }\n // Don't count bytes for complex numbers as they are counted by their\n // components.\n if (a.dtype !== 'complex64' && a.dtype !== 'string') {\n const bytes = a.size * util.bytesPerElement(a.dtype);\n this.state.numBytes -= bytes;\n }\n // Remove the reference to dataId if backend dispose the data successfully\n if (info.backend.disposeData(a.dataId)) {\n this.removeDataId(a.dataId, info.backend);\n }\n // TODO(nsthorat): Construct an error and save the stack trace for\n // debugging when in debug mode. Creating a stack trace is too expensive\n // to do unconditionally.\n }\n disposeVariables() {\n for (const varName in this.state.registeredVariables) {\n const v = this.state.registeredVariables[varName];\n this.disposeVariable(v);\n }\n }\n disposeVariable(v) {\n this.disposeTensor(v);\n if (this.state.registeredVariables[v.name] != null) {\n delete this.state.registeredVariables[v.name];\n }\n }\n memory() {\n const info = this.backend.memory();\n info.numTensors = this.state.numTensors;\n info.numDataBuffers = this.state.numDataBuffers;\n info.numBytes = this.state.numBytes;\n if (this.state.numStringTensors > 0) {\n info.unreliable = true;\n if (info.reasons == null) {\n info.reasons = [];\n }\n info.reasons.push('Memory usage by string tensors is approximate ' +\n '(2 bytes per character)');\n }\n return info;\n }\n async profile(query) {\n this.state.profiling = true;\n const startBytes = this.state.numBytes;\n const startNumTensors = this.state.numTensors;\n this.state.activeProfile.kernels = [];\n this.state.activeProfile.result = await query();\n this.state.profiling = false;\n this.state.activeProfile.peakBytes = Math.max(...this.state.activeProfile.kernels.map(d => d.totalBytesSnapshot));\n this.state.activeProfile.newBytes = this.state.numBytes - startBytes;\n this.state.activeProfile.newTensors =\n this.state.numTensors - startNumTensors;\n for (const kernel of this.state.activeProfile.kernels) {\n kernel.kernelTimeMs = await kernel.kernelTimeMs;\n kernel.extraInfo = await kernel.extraInfo;\n }\n return this.state.activeProfile;\n }\n isTapeOn() {\n return this.state.gradientDepth > 0 && this.state.kernelDepth === 0;\n }\n addTapeNode(kernelName, inputs, outputs, gradientsFunc, saved, attrs) {\n const tapeNode = { id: this.state.nextTapeNodeId++, kernelName, inputs, outputs, saved };\n const gradConfig = getGradient(kernelName);\n if (gradConfig != null) {\n gradientsFunc = gradConfig.gradFunc;\n }\n if (gradientsFunc != null) {\n tapeNode.gradient = (dys) => {\n // TODO(smilkov): To optimize back-prop, pass dys that are not used in\n // the backprop graph to the user as null instead of zeros\n dys = dys.map((dy, i) => {\n if (dy == null) {\n const output = outputs[i];\n const vals = util.makeZerosTypedArray(output.size, output.dtype);\n return this.makeTensor(vals, output.shape, output.dtype);\n }\n return dy;\n });\n // Grad functions of ops with single outputs expect a dy, while ops\n // with multiple outputs expect dys (array of dy).\n return gradientsFunc(dys.length > 1 ? dys : dys[0], saved, attrs);\n };\n }\n this.state.activeTape.push(tapeNode);\n }\n keep(result) {\n result.kept = true;\n return result;\n }\n startTape() {\n if (this.state.gradientDepth === 0) {\n this.state.activeTape = [];\n }\n this.state.gradientDepth++;\n }\n endTape() {\n this.state.gradientDepth--;\n }\n /**\n * Start a scope. Use this with endScope() to achieve the same functionality\n * as scope() without the need for a function closure.\n */\n startScope(name) {\n const scopeInfo = {\n track: [],\n name: 'unnamed scope',\n id: this.state.nextScopeId++\n };\n if (name) {\n scopeInfo.name = name;\n }\n this.state.scopeStack.push(scopeInfo);\n this.state.activeScope = scopeInfo;\n }\n /**\n * End a scope. Use this with startScope() to achieve the same functionality\n * as scope() without the need for a function closure.\n */\n endScope(result) {\n const tensorsToTrackInParent = getTensorsInContainer(result);\n const tensorsToTrackInParentSet = new Set(tensorsToTrackInParent.map(t => t.id));\n // Dispose the arrays tracked in this scope.\n for (let i = 0; i < this.state.activeScope.track.length; i++) {\n const tensor = this.state.activeScope.track[i];\n if (!tensor.kept && !tensorsToTrackInParentSet.has(tensor.id)) {\n tensor.dispose();\n }\n }\n const oldScope = this.state.scopeStack.pop();\n this.state.activeScope = this.state.scopeStack.length === 0 ?\n null :\n this.state.scopeStack[this.state.scopeStack.length - 1];\n // Track the current result in the parent scope.\n tensorsToTrackInParent.forEach(tensor => {\n // Only track the tensor if was allocated in the inner scope and is not\n // globally kept.\n if (!tensor.kept && tensor.scopeId === oldScope.id) {\n this.track(tensor);\n }\n });\n }\n /**\n * Returns gradients of `f` with respect to each of the `xs`. The gradients\n * returned are of the same length as `xs`, but some might be null if `f`\n * was not a function of that `x`. It also takes optional dy to multiply the\n * gradient, which defaults to `1`.\n */\n gradients(f, xs, dy, allowNoGradients = false) {\n util.assert(xs.length > 0, () => 'gradients() received an empty list of xs.');\n if (dy != null && dy.dtype !== 'float32') {\n throw new Error(`dy must have 'float32' dtype, but has '${dy.dtype}'`);\n }\n const y = this.scopedRun(() => this.startTape(), () => this.endTape(), () => this.tidy('forward', f));\n util.assert(y instanceof Tensor, () => 'The result y returned by f() must be a tensor.');\n // Filter out the nodes that don't connect x => y.\n const filteredTape = getFilteredNodesXToY(this.state.activeTape, xs, y);\n if (!allowNoGradients && filteredTape.length === 0 && xs.length > 0) {\n throw new Error('Cannot compute gradient of y=f(x) with respect to x. Make sure ' +\n 'that the f you passed encloses all operations that lead from x ' +\n 'to y.');\n }\n return this.tidy('backward', () => {\n const accumulatedGradientMap = {};\n accumulatedGradientMap[y.id] = (dy == null) ? ones(y.shape) : dy;\n // Backprop gradients through the filtered nodes.\n backpropagateGradients(accumulatedGradientMap, filteredTape, \n // Pass the tidy function to avoid circular dep with `tape.ts`.\n f => this.tidy(f), \n // Pass an add function to avoide a circular dep with `tape.ts`.\n add);\n const grads = xs.map(x => accumulatedGradientMap[x.id]);\n if (this.state.gradientDepth === 0) {\n // This means that we are not computing higher-order gradients\n // and can clean up the tape.\n this.state.activeTape.forEach(node => {\n for (const tensor of node.saved) {\n tensor.dispose();\n }\n });\n this.state.activeTape = null;\n }\n return { value: y, grads };\n });\n }\n customGrad(f) {\n util.assert(util.isFunction(f), () => 'The f passed in customGrad(f) must be a function.');\n return (...inputs) => {\n util.assert(inputs.every(t => t instanceof Tensor), () => 'The args passed in customGrad(f)(x1, x2,...) must all be ' +\n 'tensors');\n let res;\n const inputMap = {};\n inputs.forEach((input, i) => {\n inputMap[i] = input;\n });\n const forwardFunc = (_, save) => {\n res = f(...[...inputs, save]);\n util.assert(res.value instanceof Tensor, () => 'The function f passed in customGrad(f) must return an ' +\n 'object where `obj.value` is a tensor');\n util.assert(util.isFunction(res.gradFunc), () => 'The function f passed in customGrad(f) must return an ' +\n 'object where `obj.gradFunc` is a function.');\n return res.value;\n };\n const backwardsFunc = (dy, saved) => {\n const gradRes = res.gradFunc(dy, saved);\n const grads = Array.isArray(gradRes) ? gradRes : [gradRes];\n util.assert(grads.length === inputs.length, () => 'The function f passed in customGrad(f) must return an ' +\n 'object where `obj.gradFunc` is a function that returns ' +\n 'the same number of tensors as inputs passed to f(...).');\n util.assert(grads.every(t => t instanceof Tensor), () => 'The function f passed in customGrad(f) must return an ' +\n 'object where `obj.gradFunc` is a function that returns ' +\n 'a list of only tensors.');\n const gradMap = {};\n grads.forEach((grad, i) => {\n gradMap[i] = () => grad;\n });\n return gradMap;\n };\n return this.runKernelFunc({\n forwardFunc,\n backwardsFunc,\n inputs: inputMap,\n });\n };\n }\n readSync(dataId) {\n // Route the read to the correct backend.\n const info = this.state.tensorInfo.get(dataId);\n return info.backend.readSync(dataId);\n }\n read(dataId) {\n // Route the read to the correct backend.\n const info = this.state.tensorInfo.get(dataId);\n return info.backend.read(dataId);\n }\n async time(query) {\n const start = now();\n const timingInfo = await this.backend.time(query);\n timingInfo.wallMs = now() - start;\n return timingInfo;\n }\n /**\n * Tracks a Tensor in the current scope to be automatically cleaned up\n * when the current scope ends, and returns the value.\n *\n * @param result The Tensor to track in the current scope.\n */\n track(result) {\n if (this.state.activeScope != null) {\n result.scopeId = this.state.activeScope.id;\n this.state.activeScope.track.push(result);\n }\n return result;\n }\n get registeredVariables() {\n return this.state.registeredVariables;\n }\n /**\n * Resets the engine state. Removes all backends but does not remove\n * registered backend factories.\n */\n reset() {\n // Make any pending promise obsolete.\n this.pendingBackendInitId++;\n this.state.dispose();\n this.ENV.reset();\n this.state = new EngineState();\n for (const backendName in this.registry) {\n this.disposeRegisteredKernels(backendName);\n this.registry[backendName].dispose();\n delete this.registry[backendName];\n }\n this.backendName = null;\n this.backendInstance = null;\n this.pendingBackendInit = null;\n }\n}\nEngine.nextTensorId = 0;\nEngine.nextVariableId = 0;\nfunction ones(shape) {\n const values = makeOnesTypedArray(sizeFromShape(shape), 'float32');\n return ENGINE.makeTensor(values, shape, 'float32');\n}\nexport function getOrMakeEngine() {\n const ns = getGlobalNamespace();\n if (ns._tfengine == null) {\n const environment = new Environment(ns);\n ns._tfengine = new Engine(environment);\n }\n setEnvironmentGlobal(ns._tfengine.ENV);\n // Tell the current tensor interface that the global engine is responsible\n // for tracking.\n setTensorTracker(() => ns._tfengine);\n return ns._tfengine;\n}\nexport const ENGINE = getOrMakeEngine();\n/**\n * A implementation of the add op for use within engine and tape.\n *\n * This allows us to avoid a circular dependency between add.ts and engine.\n * It is exported to be available in tape tests.\n */\nexport function add(a, b) {\n // We duplicate Add here to avoid a circular dependency with add.ts.\n const inputs = { a, b };\n return ENGINE.runKernel(Add, inputs);\n}\n//# sourceMappingURL=engine.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport * as util from './util';\n/**\n * Computes a list of TapeNodes that connect x to y, filtering everything else\n * out and preserving the order of the original tape elements.\n *\n * @param tape The tape elements to filter.\n * @param xs The input Tensors.\n * @param y The output Tensor.\n */\nexport function getFilteredNodesXToY(tape, xs, y) {\n // Forward pass to compute all the nodes and Tensors that are transitively a\n // function of x.\n const tensorsFromX = {};\n const nodesFromX = {};\n for (let i = 0; i < xs.length; i++) {\n tensorsFromX[xs[i].id] = true;\n }\n for (let i = 0; i < tape.length; i++) {\n const node = tape[i];\n const nodeInputs = node.inputs;\n for (const inputName in nodeInputs) {\n const input = nodeInputs[inputName];\n let anyInputFromX = false;\n for (let j = 0; j < xs.length; j++) {\n if (tensorsFromX[input.id]) {\n node.outputs.forEach(output => tensorsFromX[output.id] = true);\n anyInputFromX = true;\n nodesFromX[node.id] = true;\n break;\n }\n }\n if (anyInputFromX) {\n break;\n }\n }\n }\n // Backward pass to find all of the nodes and Tensors that lead to y.\n const tensorsLeadToY = {};\n tensorsLeadToY[y.id] = true;\n const nodesToY = {};\n for (let i = tape.length - 1; i >= 0; i--) {\n const node = tape[i];\n const nodeInputs = node.inputs;\n // If any of the outputs lead to y, mark all of the inputs as leading to y.\n for (let j = 0; j < node.outputs.length; j++) {\n if (tensorsLeadToY[node.outputs[j].id]) {\n for (const inputName in nodeInputs) {\n tensorsLeadToY[nodeInputs[inputName].id] = true;\n nodesToY[node.id] = true;\n }\n break;\n }\n }\n }\n // Return the paths that come from x and lead to y.\n const filteredTape = [];\n for (let i = 0; i < tape.length; i++) {\n const node = tape[i];\n if (nodesFromX[node.id] && nodesToY[node.id]) {\n // Prune the inputs from the node that aren't a function of x.\n const prunedInputs = {};\n for (const inputName in node.inputs) {\n const nodeInput = node.inputs[inputName];\n if (tensorsFromX[nodeInput.id]) {\n prunedInputs[inputName] = nodeInput;\n }\n }\n // Copy the node and overwrite inputsAndArgs to the pruned version.\n const prunedNode = Object.assign({}, node);\n prunedNode.inputs = prunedInputs;\n prunedNode.outputs = node.outputs;\n filteredTape.push(prunedNode);\n }\n }\n return filteredTape;\n}\n/**\n * Backpropagate gradients through the filtered TapeNodes.\n *\n * @param tensorAccumulatedGradientMap A map of Tensor to its gradient. This map\n * is mutated by this method.\n * @param filteredTape The filtered TapeNodes to backprop through.\n */\nexport function backpropagateGradients(tensorAccumulatedGradientMap, filteredTape, tidy, add) {\n // Walk the tape backward and keep a map of Tensor to its gradient.\n for (let i = filteredTape.length - 1; i >= 0; i--) {\n const node = filteredTape[i];\n const dys = [];\n node.outputs.forEach(o => {\n const gradTensor = tensorAccumulatedGradientMap[o.id];\n if (gradTensor != null) {\n dys.push(gradTensor);\n }\n else {\n // This particular output is not in the back-propagation subgraph, so it\n // does not affect the final output, thus we put null for its dy.\n dys.push(null);\n }\n });\n if (node.gradient == null) {\n throw new Error(`Cannot compute gradient: gradient function not found ` +\n `for ${node.kernelName}.`);\n }\n // Backprop dy through this node and accumulate gradients over the inputs.\n const inputGradients = node.gradient(dys);\n for (const inputName in node.inputs) {\n if (!(inputName in inputGradients)) {\n throw new Error(`Cannot backprop through input ${inputName}. ` +\n `Available gradients found: ${Object.keys(inputGradients)}.`);\n }\n // Call the gradient function.\n const dx = tidy(() => inputGradients[inputName]());\n if (dx.dtype !== 'float32') {\n throw new Error(`Error in gradient for op ${node.kernelName}. The gradient of input ` +\n `${inputName} must have 'float32' dtype, but has '${dx.dtype}'`);\n }\n const x = node.inputs[inputName];\n if (!util.arraysEqual(dx.shape, x.shape)) {\n throw new Error(`Error in gradient for op ${node.kernelName}. The gradient of input ` +\n `'${inputName}' has shape '${dx.shape}', which does not match ` +\n `the shape of the input '${x.shape}'`);\n }\n if (tensorAccumulatedGradientMap[x.id] == null) {\n tensorAccumulatedGradientMap[x.id] = dx;\n }\n else {\n const curGradient = tensorAccumulatedGradientMap[x.id];\n tensorAccumulatedGradientMap[x.id] = add(curGradient, dx);\n curGradient.dispose();\n }\n }\n }\n}\n//# sourceMappingURL=tape.js.map","/**\n * @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// tslint:disable-next-line:no-any\nfunction _isNavigatorDefined() {\n return typeof navigator !== 'undefined' && navigator != null;\n}\nexport function isMobile(nav) {\n if (nav || _isNavigatorDefined()) {\n if (!nav) {\n nav = navigator;\n }\n if (nav.product === 'ReactNative') {\n return true;\n }\n // tslint:disable-next-line:no-any\n const a = nav.userAgent || nav.vendor || window.opera;\n // tslint:disable-next-line:max-line-length\n return /(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i\n .test(a) ||\n // tslint:disable-next-line:max-line-length\n /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i\n .test(a.substr(0, 4));\n }\n return false;\n}\nexport function isBrowser() {\n return (typeof window !== 'undefined' && window.document != null) ||\n //@ts-ignore\n (typeof WorkerGlobalScope !== 'undefined');\n}\n//# sourceMappingURL=device_util.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport './engine';\nimport * as device_util from './device_util';\nimport { env } from './environment';\nconst ENV = env();\n/**\n * This file contains environment-related flag registrations.\n */\n/** Whether to enable debug mode. */\nENV.registerFlag('DEBUG', () => false, debugValue => {\n if (debugValue) {\n console.warn('Debugging mode is ON. The output of every math call will ' +\n 'be downloaded to CPU and checked for NaNs. ' +\n 'This significantly impacts performance.');\n }\n});\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag('IS_BROWSER', () => device_util.isBrowser());\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag('IS_NODE', () => (typeof process !== 'undefined') &&\n (typeof process.versions !== 'undefined') &&\n (typeof process.versions.node !== 'undefined'));\n/** Whether this browser is Chrome. */\nENV.registerFlag('IS_CHROME', () => typeof navigator !== 'undefined' && navigator != null &&\n navigator.userAgent != null && /Chrome/.test(navigator.userAgent) &&\n /Google Inc/.test(navigator.vendor));\n/**\n * True when the environment is \"production\" where we disable safety checks\n * to gain performance.\n */\nENV.registerFlag('PROD', () => false);\n/**\n * Whether to do sanity checks when inferring a shape from user-provided\n * values, used when creating a new tensor.\n */\nENV.registerFlag('TENSORLIKE_CHECK_SHAPE_CONSISTENCY', () => ENV.getBool('DEBUG'));\n/** Whether deprecation warnings are enabled. */\nENV.registerFlag('DEPRECATION_WARNINGS_ENABLED', () => true);\n/** True if running unit tests. */\nENV.registerFlag('IS_TEST', () => false);\n/** Whether to check computation result for errors. */\nENV.registerFlag('CHECK_COMPUTATION_FOR_ERRORS', () => true);\n/** Whether the backend needs to wrap input to imageBitmap. */\nENV.registerFlag('WRAP_TO_IMAGEBITMAP', () => false);\n//# sourceMappingURL=flags.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from './engine';\nimport { env } from './environment';\nimport { Tensor } from './tensor';\nimport { assert, flatten, inferDtype, isTypedArray, toTypedArray } from './util';\nexport function inferShape(val, dtype) {\n let firstElem = val;\n if (isTypedArray(val)) {\n return dtype === 'string' ? [] : [val.length];\n }\n if (!Array.isArray(val)) {\n return []; // Scalar.\n }\n const shape = [];\n while (Array.isArray(firstElem) ||\n isTypedArray(firstElem) && dtype !== 'string') {\n shape.push(firstElem.length);\n firstElem = firstElem[0];\n }\n if (Array.isArray(val) &&\n env().getBool('TENSORLIKE_CHECK_SHAPE_CONSISTENCY')) {\n deepAssertShapeConsistency(val, shape, []);\n }\n return shape;\n}\nfunction deepAssertShapeConsistency(val, shape, indices) {\n indices = indices || [];\n if (!(Array.isArray(val)) && !isTypedArray(val)) {\n assert(shape.length === 0, () => `Element arr[${indices.join('][')}] is a primitive, ` +\n `but should be an array/TypedArray of ${shape[0]} elements`);\n return;\n }\n assert(shape.length > 0, () => `Element arr[${indices.join('][')}] should be a primitive, ` +\n `but is an array of ${val.length} elements`);\n assert(val.length === shape[0], () => `Element arr[${indices.join('][')}] should have ${shape[0]} ` +\n `elements, but has ${val.length} elements`);\n const subShape = shape.slice(1);\n for (let i = 0; i < val.length; ++i) {\n deepAssertShapeConsistency(val[i], subShape, indices.concat(i));\n }\n}\nfunction assertDtype(expectedDtype, actualDType, argName, functionName) {\n if (expectedDtype === 'string_or_numeric') {\n return;\n }\n if (expectedDtype == null) {\n throw new Error(`Expected dtype cannot be null.`);\n }\n if (expectedDtype !== 'numeric' && expectedDtype !== actualDType ||\n expectedDtype === 'numeric' && actualDType === 'string') {\n throw new Error(`Argument '${argName}' passed to '${functionName}' must ` +\n `be ${expectedDtype} tensor, but got ${actualDType} tensor`);\n }\n}\nexport function convertToTensor(x, argName, functionName, parseAsDtype = 'numeric') {\n if (x instanceof Tensor) {\n assertDtype(parseAsDtype, x.dtype, argName, functionName);\n return x;\n }\n let inferredDtype = inferDtype(x);\n // If the user expects a bool/int/float, use that info to update the\n // inferredDtype when it is not a string.\n if (inferredDtype !== 'string' &&\n ['bool', 'int32', 'float32'].indexOf(parseAsDtype) >= 0) {\n inferredDtype = parseAsDtype;\n }\n assertDtype(parseAsDtype, inferredDtype, argName, functionName);\n if ((x == null) ||\n (!isTypedArray(x) && !Array.isArray(x) && typeof x !== 'number' &&\n typeof x !== 'boolean' && typeof x !== 'string')) {\n const type = x == null ? 'null' : x.constructor.name;\n throw new Error(`Argument '${argName}' passed to '${functionName}' must be a ` +\n `Tensor or TensorLike, but got '${type}'`);\n }\n const inferredShape = inferShape(x, inferredDtype);\n if (!isTypedArray(x) && !Array.isArray(x)) {\n x = [x];\n }\n const skipTypedArray = true;\n const values = inferredDtype !== 'string' ?\n toTypedArray(x, inferredDtype) :\n flatten(x, [], skipTypedArray);\n return ENGINE.makeTensor(values, inferredShape, inferredDtype);\n}\nexport function convertToTensorArray(arg, argName, functionName, parseAsDtype = 'numeric') {\n if (!Array.isArray(arg)) {\n throw new Error(`Argument ${argName} passed to ${functionName} must be a ` +\n '`Tensor[]` or `TensorLike[]`');\n }\n const tensors = arg;\n return tensors.map((t, i) => convertToTensor(t, `${argName}[${i}]`, functionName, parseAsDtype));\n}\n//# sourceMappingURL=tensor_util_env.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { isPromise } from '../util';\nexport const OP_SCOPE_SUFFIX = '__op';\n/**\n * Used for wrapping functions that perform math operations on\n * Tensors. The function will be wrapped in a named scope that cleans all\n * memory usage after the function is done.\n */\nexport function op(f) {\n const keys = Object.keys(f);\n if (keys.length !== 1) {\n throw new Error(`Please provide an object with a single key ` +\n `(operation name) mapping to a function. Got an object with ` +\n `${keys.length} keys.`);\n }\n let opName = keys[0];\n const fn = f[opName];\n // Strip the underscore from the end of the function name.\n if (opName.endsWith('_')) {\n opName = opName.substring(0, opName.length - 1);\n }\n // add an __op suffix to distinguish ops from kernels in tf.profile\n opName = opName + OP_SCOPE_SUFFIX;\n // tslint:disable-next-line:no-any\n const f2 = (...args) => {\n ENGINE.startScope(opName);\n try {\n const result = fn(...args);\n if (isPromise(result)) {\n console.error('Cannot return a Promise inside of tidy.');\n }\n ENGINE.endScope(result);\n return result;\n }\n catch (ex) {\n ENGINE.endScope(null);\n throw ex;\n }\n };\n Object.defineProperty(f2, 'name', { value: opName, configurable: true });\n // tslint:disable-next-line:no-any\n return f2;\n}\n//# sourceMappingURL=operation.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { Complex } from '../kernel_names';\nimport { convertToTensor } from '../tensor_util_env';\nimport * as util from '../util';\nimport { op } from './operation';\n/**\n * Converts two real numbers to a complex number.\n *\n * Given a tensor `real` representing the real part of a complex number, and a\n * tensor `imag` representing the imaginary part of a complex number, this\n * operation returns complex numbers elementwise of the form [r0, i0, r1, i1],\n * where r represents the real part and i represents the imag part.\n *\n * The input tensors real and imag must have the same shape.\n *\n * ```js\n * const real = tf.tensor1d([2.25, 3.25]);\n * const imag = tf.tensor1d([4.75, 5.75]);\n * const complex = tf.complex(real, imag);\n *\n * complex.print();\n * ```\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nfunction complex_(real, imag) {\n const $real = convertToTensor(real, 'real', 'complex');\n const $imag = convertToTensor(imag, 'imag', 'complex');\n util.assertShapesMatch($real.shape, $imag.shape, `real and imag shapes, ${$real.shape} and ${$imag.shape}, ` +\n `must match in call to tf.complex().`);\n const inputs = { real: $real, imag: $imag };\n return ENGINE.runKernel(Complex, inputs);\n}\nexport const complex = op({ complex_ });\n//# sourceMappingURL=complex.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { assert, assertNonNegativeIntegerDimensions, flatten, inferDtype, isTypedArray, sizeFromShape, toTypedArray } from '../util';\n/** This is shared code across all tensor creation methods. */\nexport function makeTensor(values, shape, inferredShape, dtype) {\n if (dtype == null) {\n dtype = inferDtype(values);\n }\n if (dtype === 'complex64') {\n throw new Error(`Cannot construct a complex64 tensor directly. ` +\n `Please use tf.complex(real, imag).`);\n }\n if (!isTypedArray(values) && !Array.isArray(values) &&\n typeof values !== 'number' && typeof values !== 'boolean' &&\n typeof values !== 'string') {\n throw new Error('values passed to tensor(values) must be a number/boolean/string or ' +\n 'an array of numbers/booleans/strings, or a TypedArray');\n }\n if (shape != null) {\n assertNonNegativeIntegerDimensions(shape);\n const providedSize = sizeFromShape(shape);\n const inferredSize = sizeFromShape(inferredShape);\n assert(providedSize === inferredSize, () => `Based on the provided shape, [${shape}], the tensor should have ` +\n `${providedSize} values but has ${inferredSize}`);\n for (let i = 0; i < inferredShape.length; ++i) {\n const inferred = inferredShape[i];\n const flatDimsDontMatch = i === inferredShape.length - 1 ?\n inferred !== sizeFromShape(shape.slice(i)) :\n true;\n assert(inferredShape[i] === shape[i] || !flatDimsDontMatch, () => `Error creating a new Tensor. Inferred shape ` +\n `(${inferredShape}) does not match the provided ` +\n `shape (${shape}). `);\n }\n }\n if (!isTypedArray(values) && !Array.isArray(values)) {\n values = [values];\n }\n shape = shape || inferredShape;\n values = dtype !== 'string' ?\n toTypedArray(values, dtype) :\n flatten(values, [], true);\n return ENGINE.makeTensor(values, shape, dtype);\n}\n//# sourceMappingURL=tensor_ops_util.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { inferShape } from '../tensor_util_env';\nimport { makeTensor } from './tensor_ops_util';\n/**\n * Creates a `tf.Tensor` with the provided values, shape and dtype.\n *\n * ```js\n * // Pass an array of values to create a vector.\n * tf.tensor([1, 2, 3, 4]).print();\n * ```\n *\n * ```js\n * // Pass a nested array of values to make a matrix or a higher\n * // dimensional tensor.\n * tf.tensor([[1, 2], [3, 4]]).print();\n * ```\n *\n * ```js\n * // Pass a flat array and specify a shape yourself.\n * tf.tensor([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n * or a flat array, or a `TypedArray`. If the values are strings,\n * they will be encoded as utf-8 and kept as `Uint8Array[]`.\n * @param shape The shape of the tensor. Optional. If not provided,\n * it is inferred from `values`.\n * @param dtype The data type.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nexport function tensor(values, shape, dtype) {\n const inferredShape = inferShape(values, dtype);\n return makeTensor(values, shape, inferredShape, dtype);\n}\n//# sourceMappingURL=tensor.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/* Type definitions for exporting and importing of models. */\n/**\n * A map from Tensor dtype to number of bytes per element of the Tensor.\n */\nexport const DTYPE_VALUE_SIZE_MAP = {\n 'float32': 4,\n 'float16': 2,\n 'int32': 4,\n 'uint16': 2,\n 'uint8': 1,\n 'bool': 1,\n 'complex64': 8\n};\n//# sourceMappingURL=types.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { complex } from '../ops/complex';\nimport { tensor } from '../ops/tensor';\nimport { sizeFromShape } from '../util';\nimport { DTYPE_VALUE_SIZE_MAP } from './types';\n/** Number of bytes reserved for the length of the string. (32bit integer). */\nconst NUM_BYTES_STRING_LENGTH = 4;\n/**\n * Encode a map from names to weight values as an ArrayBuffer, along with an\n * `Array` of `WeightsManifestEntry` as specification of the encoded weights.\n *\n * This function does not perform sharding.\n *\n * This function is the reverse of `decodeWeights`.\n *\n * @param tensors A map (\"dict\") from names to tensors.\n * @param group Group to which the weights belong (optional).\n * @returns A `Promise` of\n * - A flat `ArrayBuffer` with all the binary values of the `Tensor`s\n * concatenated.\n * - An `Array` of `WeightManifestEntry`s, carrying information including\n * tensor names, `dtype`s and shapes.\n * @throws Error: on unsupported tensor `dtype`.\n */\nexport async function encodeWeights(tensors, group) {\n // TODO(adarob, cais): Support quantization.\n const specs = [];\n const dataPromises = [];\n const names = Array.isArray(tensors) ?\n tensors.map(tensor => tensor.name) :\n Object.keys(tensors);\n for (let i = 0; i < names.length; ++i) {\n const name = names[i];\n const t = Array.isArray(tensors) ? tensors[i].tensor : tensors[name];\n if (t.dtype !== 'float32' && t.dtype !== 'int32' && t.dtype !== 'bool' &&\n t.dtype !== 'string' && t.dtype !== 'complex64') {\n throw new Error(`Unsupported dtype in weight '${name}': ${t.dtype}`);\n }\n const spec = { name, shape: t.shape, dtype: t.dtype };\n if (t.dtype === 'string') {\n const utf8bytes = new Promise(async (resolve) => {\n const vals = await t.bytes();\n const totalNumBytes = vals.reduce((p, c) => p + c.length, 0) +\n NUM_BYTES_STRING_LENGTH * vals.length;\n const bytes = new Uint8Array(totalNumBytes);\n let offset = 0;\n for (let i = 0; i < vals.length; i++) {\n const val = vals[i];\n const bytesOfLength = new Uint8Array(new Uint32Array([val.length]).buffer);\n bytes.set(bytesOfLength, offset);\n offset += NUM_BYTES_STRING_LENGTH;\n bytes.set(val, offset);\n offset += val.length;\n }\n resolve(bytes);\n });\n dataPromises.push(utf8bytes);\n }\n else {\n dataPromises.push(t.data());\n }\n if (group != null) {\n spec.group = group;\n }\n specs.push(spec);\n }\n const tensorValues = await Promise.all(dataPromises);\n return { data: concatenateTypedArrays(tensorValues), specs };\n}\n/**\n * Decode flat ArrayBuffer as weights.\n *\n * This function does not handle sharding.\n *\n * This function is the reverse of `encodeWeights`.\n *\n * @param buffer A flat ArrayBuffer carrying the binary values of the tensors\n * concatenated in the order specified in `specs`.\n * @param specs Specifications of the names, dtypes and shapes of the tensors\n * whose value are encoded by `buffer`.\n * @return A map from tensor name to tensor value, with the names corresponding\n * to names in `specs`.\n * @throws Error, if any of the tensors has unsupported dtype.\n */\nexport function decodeWeights(buffer, specs) {\n // TODO(adarob, cais): Support quantization.\n const out = {};\n let float16Decode;\n let offset = 0;\n for (const spec of specs) {\n const name = spec.name;\n const dtype = spec.dtype;\n const shape = spec.shape;\n const size = sizeFromShape(shape);\n let values;\n if ('quantization' in spec) {\n const quantization = spec.quantization;\n if (quantization.dtype === 'uint8' || quantization.dtype === 'uint16') {\n if (!('min' in quantization && 'scale' in quantization)) {\n throw new Error(`Weight ${spec.name} with quantization ${quantization.dtype} ` +\n `doesn't have corresponding metadata min and scale.`);\n }\n }\n else if (quantization.dtype === 'float16') {\n if (dtype !== 'float32') {\n throw new Error(`Weight ${spec.name} is quantized with ${quantization.dtype} ` +\n `which only supports weights of type float32 not ${dtype}.`);\n }\n }\n else {\n throw new Error(`Weight ${spec.name} has unknown ` +\n `quantization dtype ${quantization.dtype}. ` +\n `Supported quantization dtypes are: ` +\n `'uint8', 'uint16', and 'float16'.`);\n }\n const quantizationSizeFactor = DTYPE_VALUE_SIZE_MAP[quantization.dtype];\n const byteBuffer = buffer.slice(offset, offset + size * quantizationSizeFactor);\n const quantizedArray = (quantization.dtype === 'uint8') ?\n new Uint8Array(byteBuffer) :\n new Uint16Array(byteBuffer);\n if (dtype === 'float32') {\n if (quantization.dtype === 'uint8' || quantization.dtype === 'uint16') {\n values = new Float32Array(quantizedArray.length);\n for (let i = 0; i < quantizedArray.length; i++) {\n const v = quantizedArray[i];\n values[i] = v * quantization.scale + quantization.min;\n }\n }\n else if (quantization.dtype === 'float16') {\n if (float16Decode === undefined) {\n float16Decode = getFloat16Decoder();\n }\n values = float16Decode(quantizedArray);\n }\n else {\n throw new Error(`Unsupported quantization type ${quantization.dtype} ` +\n `for weight type float32.`);\n }\n }\n else if (dtype === 'int32') {\n if (quantization.dtype !== 'uint8' && quantization.dtype !== 'uint16') {\n throw new Error(`Unsupported quantization type ${quantization.dtype} ` +\n `for weight type int32.`);\n }\n values = new Int32Array(quantizedArray.length);\n for (let i = 0; i < quantizedArray.length; i++) {\n const v = quantizedArray[i];\n values[i] = Math.round(v * quantization.scale + quantization.min);\n }\n }\n else {\n throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n }\n offset += size * quantizationSizeFactor;\n }\n else if (dtype === 'string') {\n const size = sizeFromShape(spec.shape);\n values = [];\n for (let i = 0; i < size; i++) {\n const byteLength = new Uint32Array(buffer.slice(offset, offset + NUM_BYTES_STRING_LENGTH))[0];\n offset += NUM_BYTES_STRING_LENGTH;\n const bytes = new Uint8Array(buffer.slice(offset, offset + byteLength));\n values.push(bytes);\n offset += byteLength;\n }\n }\n else {\n const dtypeFactor = DTYPE_VALUE_SIZE_MAP[dtype];\n const byteBuffer = buffer.slice(offset, offset + size * dtypeFactor);\n if (dtype === 'float32') {\n values = new Float32Array(byteBuffer);\n }\n else if (dtype === 'int32') {\n values = new Int32Array(byteBuffer);\n }\n else if (dtype === 'bool') {\n values = new Uint8Array(byteBuffer);\n }\n else if (dtype === 'complex64') {\n values = new Float32Array(byteBuffer);\n const real = new Float32Array(values.length / 2);\n const image = new Float32Array(values.length / 2);\n for (let i = 0; i < real.length; i++) {\n real[i] = values[i * 2];\n image[i] = values[i * 2 + 1];\n }\n const realTensor = tensor(real, shape, 'float32');\n const imageTensor = tensor(image, shape, 'float32');\n out[name] = complex(realTensor, imageTensor);\n realTensor.dispose();\n imageTensor.dispose();\n }\n else {\n throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n }\n offset += size * dtypeFactor;\n }\n if (dtype !== 'complex64') {\n out[name] = tensor(values, shape, dtype);\n }\n }\n return out;\n}\n/**\n * Concatenate TypedArrays into an ArrayBuffer.\n */\nexport function concatenateTypedArrays(xs) {\n // TODO(adarob, cais): Support quantization.\n if (xs === null) {\n throw new Error(`Invalid input value: ${JSON.stringify(xs)}`);\n }\n let totalByteLength = 0;\n // `normalizedXs` is here for this reason: a `TypedArray`'s `buffer'\n // can have a different byte length from that of the `TypedArray` itself,\n // for example, when the `TypedArray` is created from an offset in an\n // `ArrayBuffer`. `normliazedXs` holds `TypedArray`s whose `buffer`s match\n // the `TypedArray` in byte length. If an element of `xs` does not show\n // this property, a new `TypedArray` that satisfy this property will be\n // constructed and pushed into `normalizedXs`.\n const normalizedXs = [];\n xs.forEach((x) => {\n totalByteLength += x.byteLength;\n // tslint:disable:no-any\n normalizedXs.push(x.byteLength === x.buffer.byteLength ? x :\n new x.constructor(x));\n if (!(x instanceof Float32Array || x instanceof Int32Array ||\n x instanceof Uint8Array)) {\n throw new Error(`Unsupported TypedArray subtype: ${x.constructor.name}`);\n }\n // tslint:enable:no-any\n });\n const y = new Uint8Array(totalByteLength);\n let offset = 0;\n normalizedXs.forEach((x) => {\n y.set(new Uint8Array(x.buffer), offset);\n offset += x.byteLength;\n });\n return y.buffer;\n}\n// Use Buffer on Node.js instead of Blob/atob/btoa\nconst useNodeBuffer = typeof Buffer !== 'undefined' &&\n (typeof Blob === 'undefined' || typeof atob === 'undefined' ||\n typeof btoa === 'undefined');\n/**\n * Calculate the byte length of a JavaScript string.\n *\n * Note that a JavaScript string can contain wide characters, therefore the\n * length of the string is not necessarily equal to the byte length.\n *\n * @param str Input string.\n * @returns Byte length.\n */\nexport function stringByteLength(str) {\n if (useNodeBuffer) {\n return Buffer.byteLength(str);\n }\n return new Blob([str]).size;\n}\n/**\n * Encode an ArrayBuffer as a base64 encoded string.\n *\n * @param buffer `ArrayBuffer` to be converted.\n * @returns A string that base64-encodes `buffer`.\n */\nexport function arrayBufferToBase64String(buffer) {\n if (useNodeBuffer) {\n return Buffer.from(buffer).toString('base64');\n }\n const buf = new Uint8Array(buffer);\n let s = '';\n for (let i = 0, l = buf.length; i < l; i++) {\n s += String.fromCharCode(buf[i]);\n }\n return btoa(s);\n}\n/**\n * Decode a base64 string as an ArrayBuffer.\n *\n * @param str Base64 string.\n * @returns Decoded `ArrayBuffer`.\n */\nexport function base64StringToArrayBuffer(str) {\n if (useNodeBuffer) {\n const buf = Buffer.from(str, 'base64');\n return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength);\n }\n const s = atob(str);\n const buffer = new Uint8Array(s.length);\n for (let i = 0; i < s.length; ++i) {\n buffer.set([s.charCodeAt(i)], i);\n }\n return buffer.buffer;\n}\n/**\n * Concatenate a number of ArrayBuffers into one.\n *\n * @param buffers A number of array buffers to concatenate.\n * @returns Result of concatenating `buffers` in order.\n */\nexport function concatenateArrayBuffers(buffers) {\n if (buffers.length === 1) {\n return buffers[0];\n }\n let totalByteLength = 0;\n buffers.forEach((buffer) => {\n totalByteLength += buffer.byteLength;\n });\n const temp = new Uint8Array(totalByteLength);\n let offset = 0;\n buffers.forEach((buffer) => {\n temp.set(new Uint8Array(buffer), offset);\n offset += buffer.byteLength;\n });\n return temp.buffer;\n}\n/**\n * Get the basename of a path.\n *\n * Behaves in a way analogous to Linux's basename command.\n *\n * @param path\n */\nexport function basename(path) {\n const SEPARATOR = '/';\n path = path.trim();\n while (path.endsWith(SEPARATOR)) {\n path = path.slice(0, path.length - 1);\n }\n const items = path.split(SEPARATOR);\n return items[items.length - 1];\n}\n/**\n * Populate ModelArtifactsInfo fields for a model with JSON topology.\n * @param modelArtifacts\n * @returns A ModelArtifactsInfo object.\n */\nexport function getModelArtifactsInfoForJSON(modelArtifacts) {\n if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n throw new Error('Expected JSON model topology, received ArrayBuffer.');\n }\n return {\n dateSaved: new Date(),\n modelTopologyType: 'JSON',\n modelTopologyBytes: modelArtifacts.modelTopology == null ?\n 0 :\n stringByteLength(JSON.stringify(modelArtifacts.modelTopology)),\n weightSpecsBytes: modelArtifacts.weightSpecs == null ?\n 0 :\n stringByteLength(JSON.stringify(modelArtifacts.weightSpecs)),\n weightDataBytes: modelArtifacts.weightData == null ?\n 0 :\n modelArtifacts.weightData.byteLength,\n };\n}\n/**\n * Computes mantisa table for casting Float16 to Float32\n * See http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n *\n * @returns Uint32Array, 2048 mantissa lookup values.\n */\nfunction computeFloat16MantisaTable() {\n const convertMantissa = (i) => {\n let m = i << 13;\n let e = 0;\n while ((m & 0x00800000) === 0) {\n e -= 0x00800000;\n m <<= 1;\n }\n m &= ~0x00800000;\n e += 0x38800000;\n return m | e;\n };\n const mantisaTable = new Uint32Array(2048);\n mantisaTable[0] = 0;\n for (let i = 1; i < 1024; i++) {\n mantisaTable[i] = convertMantissa(i);\n }\n for (let i = 1024; i < 2048; i++) {\n mantisaTable[i] = 0x38000000 + ((i - 1024) << 13);\n }\n return mantisaTable;\n}\n/**\n * Computes exponent table for casting Float16 to Float32\n * See http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n *\n * @returns Uint32Array, 64 exponent lookup values.\n */\nfunction computeFloat16ExponentTable() {\n const exponentTable = new Uint32Array(64);\n exponentTable[0] = 0;\n exponentTable[31] = 0x47800000;\n exponentTable[32] = 0x80000000;\n exponentTable[63] = 0xc7800000;\n for (let i = 1; i < 31; i++) {\n exponentTable[i] = i << 23;\n }\n for (let i = 33; i < 63; i++) {\n exponentTable[i] = 0x80000000 + ((i - 32) << 23);\n }\n return exponentTable;\n}\n/**\n * Computes offset table for casting Float16 to Float32\n * See http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n *\n * @returns Uint32Array, 6d offset values.\n */\nfunction computeFloat16OffsetTable() {\n const offsetTable = new Uint32Array(64);\n for (let i = 0; i < 64; i++) {\n offsetTable[i] = 1024;\n }\n offsetTable[0] = offsetTable[32] = 0;\n return offsetTable;\n}\n/**\n * Retrieve a Float16 decoder which will decode a ByteArray of Float16 values\n * to a Float32Array.\n *\n * @returns Function (buffer: Uint16Array) => Float32Array which decodes\n * the Uint16Array of Float16 bytes to a Float32Array.\n */\nexport function getFloat16Decoder() {\n // Algorithm is based off of\n // http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n // Cache lookup tables\n const mantisaTable = computeFloat16MantisaTable();\n const exponentTable = computeFloat16ExponentTable();\n const offsetTable = computeFloat16OffsetTable();\n return (quantizedArray) => {\n const buffer = new ArrayBuffer(4 * quantizedArray.length);\n const bufferUint32View = new Uint32Array(buffer);\n for (let index = 0; index < quantizedArray.length; index++) {\n const float16Bits = quantizedArray[index];\n const float32Bits = mantisaTable[offsetTable[float16Bits >> 10] + (float16Bits & 0x3ff)] +\n exponentTable[float16Bits >> 10];\n bufferUint32View[index] = float32Bits;\n }\n return new Float32Array(buffer);\n };\n}\n//# sourceMappingURL=io_utils.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nexport class IORouterRegistry {\n constructor() {\n this.saveRouters = [];\n this.loadRouters = [];\n }\n static getInstance() {\n if (IORouterRegistry.instance == null) {\n IORouterRegistry.instance = new IORouterRegistry();\n }\n return IORouterRegistry.instance;\n }\n /**\n * Register a save-handler router.\n *\n * @param saveRouter A function that maps a URL-like string onto an instance\n * of `IOHandler` with the `save` method defined or `null`.\n */\n static registerSaveRouter(saveRouter) {\n IORouterRegistry.getInstance().saveRouters.push(saveRouter);\n }\n /**\n * Register a load-handler router.\n *\n * @param loadRouter A function that maps a URL-like string onto an instance\n * of `IOHandler` with the `load` method defined or `null`.\n */\n static registerLoadRouter(loadRouter) {\n IORouterRegistry.getInstance().loadRouters.push(loadRouter);\n }\n /**\n * Look up IOHandler for saving, given a URL-like string.\n *\n * @param url\n * @returns If only one match is found, an instance of IOHandler with the\n * `save` method defined. If no match is found, `null`.\n * @throws Error, if more than one match is found.\n */\n static getSaveHandlers(url) {\n return IORouterRegistry.getHandlers(url, 'save');\n }\n /**\n * Look up IOHandler for loading, given a URL-like string.\n *\n * @param url\n * @param loadOptions Optional, custom load options.\n * @returns All valid handlers for `url`, given the currently registered\n * handler routers.\n */\n static getLoadHandlers(url, loadOptions) {\n return IORouterRegistry.getHandlers(url, 'load', loadOptions);\n }\n static getHandlers(url, handlerType, loadOptions) {\n const validHandlers = [];\n const routers = handlerType === 'load' ?\n IORouterRegistry.getInstance().loadRouters :\n IORouterRegistry.getInstance().saveRouters;\n routers.forEach(router => {\n const handler = router(url, loadOptions);\n if (handler !== null) {\n validHandlers.push(handler);\n }\n });\n return validHandlers;\n }\n}\nexport const registerSaveRouter = (loudRouter) => IORouterRegistry.registerSaveRouter(loudRouter);\nexport const registerLoadRouter = (loudRouter) => IORouterRegistry.registerLoadRouter(loudRouter);\nexport const getSaveHandlers = (url) => IORouterRegistry.getSaveHandlers(url);\nexport const getLoadHandlers = (url, loadOptions) => IORouterRegistry.getLoadHandlers(url, loadOptions);\n//# sourceMappingURL=router_registry.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport '../flags';\nimport { env } from '../environment';\nimport { getModelArtifactsInfoForJSON } from './io_utils';\nimport { IORouterRegistry } from './router_registry';\nconst DATABASE_NAME = 'tensorflowjs';\nconst DATABASE_VERSION = 1;\n// Model data and ModelArtifactsInfo (metadata) are stored in two separate\n// stores for efficient access of the list of stored models and their metadata.\n// 1. The object store for model data: topology, weights and weight manifests.\nconst MODEL_STORE_NAME = 'models_store';\n// 2. The object store for ModelArtifactsInfo, including meta-information such\n// as the type of topology (JSON vs binary), byte size of the topology, byte\n// size of the weights, etc.\nconst INFO_STORE_NAME = 'model_info_store';\n/**\n * Delete the entire database for tensorflow.js, including the models store.\n */\nexport async function deleteDatabase() {\n const idbFactory = getIndexedDBFactory();\n return new Promise((resolve, reject) => {\n const deleteRequest = idbFactory.deleteDatabase(DATABASE_NAME);\n deleteRequest.onsuccess = () => resolve();\n deleteRequest.onerror = error => reject(error);\n });\n}\nfunction getIndexedDBFactory() {\n if (!env().getBool('IS_BROWSER')) {\n // TODO(cais): Add more info about what IOHandler subtypes are available.\n // Maybe point to a doc page on the web and/or automatically determine\n // the available IOHandlers and print them in the error message.\n throw new Error('Failed to obtain IndexedDB factory because the current environment' +\n 'is not a web browser.');\n }\n // tslint:disable-next-line:no-any\n const theWindow = typeof window === 'undefined' ? self : window;\n const factory = theWindow.indexedDB || theWindow.mozIndexedDB ||\n theWindow.webkitIndexedDB || theWindow.msIndexedDB ||\n theWindow.shimIndexedDB;\n if (factory == null) {\n throw new Error('The current browser does not appear to support IndexedDB.');\n }\n return factory;\n}\nfunction setUpDatabase(openRequest) {\n const db = openRequest.result;\n db.createObjectStore(MODEL_STORE_NAME, { keyPath: 'modelPath' });\n db.createObjectStore(INFO_STORE_NAME, { keyPath: 'modelPath' });\n}\n/**\n * IOHandler subclass: Browser IndexedDB.\n *\n * See the doc string of `browserIndexedDB` for more details.\n */\nexport class BrowserIndexedDB {\n constructor(modelPath) {\n this.indexedDB = getIndexedDBFactory();\n if (modelPath == null || !modelPath) {\n throw new Error('For IndexedDB, modelPath must not be null, undefined or empty.');\n }\n this.modelPath = modelPath;\n }\n async save(modelArtifacts) {\n // TODO(cais): Support saving GraphDef models.\n if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n throw new Error('BrowserLocalStorage.save() does not support saving model topology ' +\n 'in binary formats yet.');\n }\n return this.databaseAction(this.modelPath, modelArtifacts);\n }\n async load() {\n return this.databaseAction(this.modelPath);\n }\n /**\n * Perform database action to put model artifacts into or read model artifacts\n * from IndexedDB object store.\n *\n * Whether the action is put or get depends on whether `modelArtifacts` is\n * specified. If it is specified, the action will be put; otherwise the action\n * will be get.\n *\n * @param modelPath A unique string path for the model.\n * @param modelArtifacts If specified, it will be the model artifacts to be\n * stored in IndexedDB.\n * @returns A `Promise` of `SaveResult`, if the action is put, or a `Promise`\n * of `ModelArtifacts`, if the action is get.\n */\n databaseAction(modelPath, modelArtifacts) {\n return new Promise((resolve, reject) => {\n const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n openRequest.onsuccess = () => {\n const db = openRequest.result;\n if (modelArtifacts == null) {\n // Read model out from object store.\n const modelTx = db.transaction(MODEL_STORE_NAME, 'readonly');\n const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n const getRequest = modelStore.get(this.modelPath);\n getRequest.onsuccess = () => {\n if (getRequest.result == null) {\n db.close();\n return reject(new Error(`Cannot find model with path '${this.modelPath}' ` +\n `in IndexedDB.`));\n }\n else {\n resolve(getRequest.result.modelArtifacts);\n }\n };\n getRequest.onerror = error => {\n db.close();\n return reject(getRequest.error);\n };\n modelTx.oncomplete = () => db.close();\n }\n else {\n // Put model into object store.\n const modelArtifactsInfo = getModelArtifactsInfoForJSON(modelArtifacts);\n // First, put ModelArtifactsInfo into info store.\n const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n let infoStore = infoTx.objectStore(INFO_STORE_NAME);\n const putInfoRequest = infoStore.put({ modelPath: this.modelPath, modelArtifactsInfo });\n let modelTx;\n putInfoRequest.onsuccess = () => {\n // Second, put model data into model store.\n modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n const putModelRequest = modelStore.put({\n modelPath: this.modelPath,\n modelArtifacts,\n modelArtifactsInfo\n });\n putModelRequest.onsuccess = () => resolve({ modelArtifactsInfo });\n putModelRequest.onerror = error => {\n // If the put-model request fails, roll back the info entry as\n // well.\n infoStore = infoTx.objectStore(INFO_STORE_NAME);\n const deleteInfoRequest = infoStore.delete(this.modelPath);\n deleteInfoRequest.onsuccess = () => {\n db.close();\n return reject(putModelRequest.error);\n };\n deleteInfoRequest.onerror = error => {\n db.close();\n return reject(putModelRequest.error);\n };\n };\n };\n putInfoRequest.onerror = error => {\n db.close();\n return reject(putInfoRequest.error);\n };\n infoTx.oncomplete = () => {\n if (modelTx == null) {\n db.close();\n }\n else {\n modelTx.oncomplete = () => db.close();\n }\n };\n }\n };\n openRequest.onerror = error => reject(openRequest.error);\n });\n }\n}\nBrowserIndexedDB.URL_SCHEME = 'indexeddb://';\nexport const indexedDBRouter = (url) => {\n if (!env().getBool('IS_BROWSER')) {\n return null;\n }\n else {\n if (!Array.isArray(url) && url.startsWith(BrowserIndexedDB.URL_SCHEME)) {\n return browserIndexedDB(url.slice(BrowserIndexedDB.URL_SCHEME.length));\n }\n else {\n return null;\n }\n }\n};\nIORouterRegistry.registerSaveRouter(indexedDBRouter);\nIORouterRegistry.registerLoadRouter(indexedDBRouter);\n/**\n * Creates a browser IndexedDB IOHandler for saving and loading models.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n * tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save('indexeddb://MyModel'));\n * console.log(saveResult);\n * ```\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n * non-empty string.\n * @returns An instance of `BrowserIndexedDB` (sublcass of `IOHandler`),\n * which can be used with, e.g., `tf.Model.save`.\n */\nexport function browserIndexedDB(modelPath) {\n return new BrowserIndexedDB(modelPath);\n}\nfunction maybeStripScheme(key) {\n return key.startsWith(BrowserIndexedDB.URL_SCHEME) ?\n key.slice(BrowserIndexedDB.URL_SCHEME.length) :\n key;\n}\nexport class BrowserIndexedDBManager {\n constructor() {\n this.indexedDB = getIndexedDBFactory();\n }\n async listModels() {\n return new Promise((resolve, reject) => {\n const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n openRequest.onsuccess = () => {\n const db = openRequest.result;\n const tx = db.transaction(INFO_STORE_NAME, 'readonly');\n const store = tx.objectStore(INFO_STORE_NAME);\n // tslint:disable:max-line-length\n // Need to cast `store` as `any` here because TypeScript's DOM\n // library does not have the `getAll()` method even though the\n // method is supported in the latest version of most mainstream\n // browsers:\n // https://developer.mozilla.org/en-US/docs/Web/API/IDBObjectStore/getAll\n // tslint:enable:max-line-length\n // tslint:disable-next-line:no-any\n const getAllInfoRequest = store.getAll();\n getAllInfoRequest.onsuccess = () => {\n const out = {};\n for (const item of getAllInfoRequest.result) {\n out[item.modelPath] = item.modelArtifactsInfo;\n }\n resolve(out);\n };\n getAllInfoRequest.onerror = error => {\n db.close();\n return reject(getAllInfoRequest.error);\n };\n tx.oncomplete = () => db.close();\n };\n openRequest.onerror = error => reject(openRequest.error);\n });\n }\n async removeModel(path) {\n path = maybeStripScheme(path);\n return new Promise((resolve, reject) => {\n const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n openRequest.onsuccess = () => {\n const db = openRequest.result;\n const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n const infoStore = infoTx.objectStore(INFO_STORE_NAME);\n const getInfoRequest = infoStore.get(path);\n let modelTx;\n getInfoRequest.onsuccess = () => {\n if (getInfoRequest.result == null) {\n db.close();\n return reject(new Error(`Cannot find model with path '${path}' ` +\n `in IndexedDB.`));\n }\n else {\n // First, delete the entry in the info store.\n const deleteInfoRequest = infoStore.delete(path);\n const deleteModelData = () => {\n // Second, delete the entry in the model store.\n modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n const deleteModelRequest = modelStore.delete(path);\n deleteModelRequest.onsuccess = () => resolve(getInfoRequest.result.modelArtifactsInfo);\n deleteModelRequest.onerror = error => reject(getInfoRequest.error);\n };\n // Proceed with deleting model data regardless of whether deletion\n // of info data succeeds or not.\n deleteInfoRequest.onsuccess = deleteModelData;\n deleteInfoRequest.onerror = error => {\n deleteModelData();\n db.close();\n return reject(getInfoRequest.error);\n };\n }\n };\n getInfoRequest.onerror = error => {\n db.close();\n return reject(getInfoRequest.error);\n };\n infoTx.oncomplete = () => {\n if (modelTx == null) {\n db.close();\n }\n else {\n modelTx.oncomplete = () => db.close();\n }\n };\n };\n openRequest.onerror = error => reject(openRequest.error);\n });\n }\n}\n//# sourceMappingURL=indexed_db.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport '../flags';\nimport { env } from '../environment';\nimport { assert } from '../util';\nimport { arrayBufferToBase64String, base64StringToArrayBuffer, getModelArtifactsInfoForJSON } from './io_utils';\nimport { IORouterRegistry } from './router_registry';\nconst PATH_SEPARATOR = '/';\nconst PATH_PREFIX = 'tensorflowjs_models';\nconst INFO_SUFFIX = 'info';\nconst MODEL_TOPOLOGY_SUFFIX = 'model_topology';\nconst WEIGHT_SPECS_SUFFIX = 'weight_specs';\nconst WEIGHT_DATA_SUFFIX = 'weight_data';\nconst MODEL_METADATA_SUFFIX = 'model_metadata';\n/**\n * Purge all tensorflow.js-saved model artifacts from local storage.\n *\n * @returns Paths of the models purged.\n */\nexport function purgeLocalStorageArtifacts() {\n if (!env().getBool('IS_BROWSER') || typeof window === 'undefined' ||\n typeof window.localStorage === 'undefined') {\n throw new Error('purgeLocalStorageModels() cannot proceed because local storage is ' +\n 'unavailable in the current environment.');\n }\n const LS = window.localStorage;\n const purgedModelPaths = [];\n for (let i = 0; i < LS.length; ++i) {\n const key = LS.key(i);\n const prefix = PATH_PREFIX + PATH_SEPARATOR;\n if (key.startsWith(prefix) && key.length > prefix.length) {\n LS.removeItem(key);\n const modelName = getModelPathFromKey(key);\n if (purgedModelPaths.indexOf(modelName) === -1) {\n purgedModelPaths.push(modelName);\n }\n }\n }\n return purgedModelPaths;\n}\nfunction getModelKeys(path) {\n return {\n info: [PATH_PREFIX, path, INFO_SUFFIX].join(PATH_SEPARATOR),\n topology: [PATH_PREFIX, path, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),\n weightSpecs: [PATH_PREFIX, path, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),\n weightData: [PATH_PREFIX, path, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR),\n modelMetadata: [PATH_PREFIX, path, MODEL_METADATA_SUFFIX].join(PATH_SEPARATOR)\n };\n}\n/**\n * Get model path from a local-storage key.\n *\n * E.g., 'tensorflowjs_models/my/model/1/info' --> 'my/model/1'\n *\n * @param key\n */\nfunction getModelPathFromKey(key) {\n const items = key.split(PATH_SEPARATOR);\n if (items.length < 3) {\n throw new Error(`Invalid key format: ${key}`);\n }\n return items.slice(1, items.length - 1).join(PATH_SEPARATOR);\n}\nfunction maybeStripScheme(key) {\n return key.startsWith(BrowserLocalStorage.URL_SCHEME) ?\n key.slice(BrowserLocalStorage.URL_SCHEME.length) :\n key;\n}\n/**\n * IOHandler subclass: Browser Local Storage.\n *\n * See the doc string to `browserLocalStorage` for more details.\n */\nexport class BrowserLocalStorage {\n constructor(modelPath) {\n if (!env().getBool('IS_BROWSER') || typeof window === 'undefined' ||\n typeof window.localStorage === 'undefined') {\n // TODO(cais): Add more info about what IOHandler subtypes are\n // available.\n // Maybe point to a doc page on the web and/or automatically determine\n // the available IOHandlers and print them in the error message.\n throw new Error('The current environment does not support local storage.');\n }\n this.LS = window.localStorage;\n if (modelPath == null || !modelPath) {\n throw new Error('For local storage, modelPath must not be null, undefined or empty.');\n }\n this.modelPath = modelPath;\n this.keys = getModelKeys(this.modelPath);\n }\n /**\n * Save model artifacts to browser local storage.\n *\n * See the documentation to `browserLocalStorage` for details on the saved\n * artifacts.\n *\n * @param modelArtifacts The model artifacts to be stored.\n * @returns An instance of SaveResult.\n */\n async save(modelArtifacts) {\n if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n throw new Error('BrowserLocalStorage.save() does not support saving model topology ' +\n 'in binary formats yet.');\n }\n else {\n const topology = JSON.stringify(modelArtifacts.modelTopology);\n const weightSpecs = JSON.stringify(modelArtifacts.weightSpecs);\n const modelArtifactsInfo = getModelArtifactsInfoForJSON(modelArtifacts);\n try {\n this.LS.setItem(this.keys.info, JSON.stringify(modelArtifactsInfo));\n this.LS.setItem(this.keys.topology, topology);\n this.LS.setItem(this.keys.weightSpecs, weightSpecs);\n this.LS.setItem(this.keys.weightData, arrayBufferToBase64String(modelArtifacts.weightData));\n const result = {\n format: modelArtifacts.format,\n generatedBy: modelArtifacts.generatedBy,\n convertedBy: modelArtifacts.convertedBy\n };\n if (modelArtifacts.signature != null) {\n result.signature = modelArtifacts.signature;\n }\n if (modelArtifacts.userDefinedMetadata != null) {\n result.userDefinedMetadata = modelArtifacts.userDefinedMetadata;\n }\n if (modelArtifacts.modelInitializer != null) {\n result.modelInitializer = modelArtifacts.modelInitializer;\n }\n this.LS.setItem(this.keys.modelMetadata, JSON.stringify(result));\n return { modelArtifactsInfo };\n }\n catch (err) {\n // If saving failed, clean up all items saved so far.\n this.LS.removeItem(this.keys.info);\n this.LS.removeItem(this.keys.topology);\n this.LS.removeItem(this.keys.weightSpecs);\n this.LS.removeItem(this.keys.weightData);\n this.LS.removeItem(this.keys.modelMetadata);\n throw new Error(`Failed to save model '${this.modelPath}' to local storage: ` +\n `size quota being exceeded is a possible cause of this failure: ` +\n `modelTopologyBytes=${modelArtifactsInfo.modelTopologyBytes}, ` +\n `weightSpecsBytes=${modelArtifactsInfo.weightSpecsBytes}, ` +\n `weightDataBytes=${modelArtifactsInfo.weightDataBytes}.`);\n }\n }\n }\n /**\n * Load a model from local storage.\n *\n * See the documentation to `browserLocalStorage` for details on the saved\n * artifacts.\n *\n * @returns The loaded model (if loading succeeds).\n */\n async load() {\n const info = JSON.parse(this.LS.getItem(this.keys.info));\n if (info == null) {\n throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);\n }\n if (info.modelTopologyType !== 'JSON') {\n throw new Error('BrowserLocalStorage does not support loading non-JSON model ' +\n 'topology yet.');\n }\n const out = {};\n // Load topology.\n const topology = JSON.parse(this.LS.getItem(this.keys.topology));\n if (topology == null) {\n throw new Error(`In local storage, the topology of model '${this.modelPath}' ` +\n `is missing.`);\n }\n out.modelTopology = topology;\n // Load weight specs.\n const weightSpecs = JSON.parse(this.LS.getItem(this.keys.weightSpecs));\n if (weightSpecs == null) {\n throw new Error(`In local storage, the weight specs of model '${this.modelPath}' ` +\n `are missing.`);\n }\n out.weightSpecs = weightSpecs;\n // Load meta-data fields.\n const metadataString = this.LS.getItem(this.keys.modelMetadata);\n if (metadataString != null) {\n const metadata = JSON.parse(metadataString);\n out.format = metadata['format'];\n out.generatedBy = metadata['generatedBy'];\n out.convertedBy = metadata['convertedBy'];\n if (metadata['signature'] != null) {\n out.signature = metadata['signature'];\n }\n if (metadata['userDefinedMetadata'] != null) {\n out.userDefinedMetadata = metadata['userDefinedMetadata'];\n }\n if (metadata['modelInitializer'] != null) {\n out.modelInitializer = metadata['modelInitializer'];\n }\n }\n // Load weight data.\n const weightDataBase64 = this.LS.getItem(this.keys.weightData);\n if (weightDataBase64 == null) {\n throw new Error(`In local storage, the binary weight values of model ` +\n `'${this.modelPath}' are missing.`);\n }\n out.weightData = base64StringToArrayBuffer(weightDataBase64);\n return out;\n }\n}\nBrowserLocalStorage.URL_SCHEME = 'localstorage://';\nexport const localStorageRouter = (url) => {\n if (!env().getBool('IS_BROWSER')) {\n return null;\n }\n else {\n if (!Array.isArray(url) && url.startsWith(BrowserLocalStorage.URL_SCHEME)) {\n return browserLocalStorage(url.slice(BrowserLocalStorage.URL_SCHEME.length));\n }\n else {\n return null;\n }\n }\n};\nIORouterRegistry.registerSaveRouter(localStorageRouter);\nIORouterRegistry.registerLoadRouter(localStorageRouter);\n/**\n * Factory function for local storage IOHandler.\n *\n * This `IOHandler` supports both `save` and `load`.\n *\n * For each model's saved artifacts, four items are saved to local storage.\n * - `${PATH_SEPARATOR}/${modelPath}/info`: Contains meta-info about the\n * model, such as date saved, type of the topology, size in bytes, etc.\n * - `${PATH_SEPARATOR}/${modelPath}/topology`: Model topology. For Keras-\n * style models, this is a stringized JSON.\n * - `${PATH_SEPARATOR}/${modelPath}/weight_specs`: Weight specs of the\n * model, can be used to decode the saved binary weight values (see\n * item below).\n * - `${PATH_SEPARATOR}/${modelPath}/weight_data`: Concatenated binary\n * weight values, stored as a base64-encoded string.\n *\n * Saving may throw an `Error` if the total size of the artifacts exceed the\n * browser-specific quota.\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n * non-empty string.\n * @returns An instance of `IOHandler`, which can be used with, e.g.,\n * `tf.Model.save`.\n */\nexport function browserLocalStorage(modelPath) {\n return new BrowserLocalStorage(modelPath);\n}\nexport class BrowserLocalStorageManager {\n constructor() {\n assert(env().getBool('IS_BROWSER'), () => 'Current environment is not a web browser');\n assert(typeof window === 'undefined' ||\n typeof window.localStorage !== 'undefined', () => 'Current browser does not appear to support localStorage');\n this.LS = window.localStorage;\n }\n async listModels() {\n const out = {};\n const prefix = PATH_PREFIX + PATH_SEPARATOR;\n const suffix = PATH_SEPARATOR + INFO_SUFFIX;\n for (let i = 0; i < this.LS.length; ++i) {\n const key = this.LS.key(i);\n if (key.startsWith(prefix) && key.endsWith(suffix)) {\n const modelPath = getModelPathFromKey(key);\n out[modelPath] = JSON.parse(this.LS.getItem(key));\n }\n }\n return out;\n }\n async removeModel(path) {\n path = maybeStripScheme(path);\n const keys = getModelKeys(path);\n if (this.LS.getItem(keys.info) == null) {\n throw new Error(`Cannot find model at path '${path}'`);\n }\n const info = JSON.parse(this.LS.getItem(keys.info));\n this.LS.removeItem(keys.info);\n this.LS.removeItem(keys.topology);\n this.LS.removeItem(keys.weightSpecs);\n this.LS.removeItem(keys.weightData);\n return info;\n }\n}\n//# sourceMappingURL=local_storage.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * Classes and functions for model management across multiple storage mediums.\n *\n * Supported client actions:\n * - Listing models on all registered storage mediums.\n * - Remove model by URL from any registered storage mediums, by using URL\n * string.\n * - Moving or copying model from one path to another in the same medium or from\n * one medium to another, by using URL strings.\n */\nimport { assert } from '../util';\nimport { IORouterRegistry } from './router_registry';\nconst URL_SCHEME_SUFFIX = '://';\nexport class ModelStoreManagerRegistry {\n constructor() {\n this.managers = {};\n }\n static getInstance() {\n if (ModelStoreManagerRegistry.instance == null) {\n ModelStoreManagerRegistry.instance = new ModelStoreManagerRegistry();\n }\n return ModelStoreManagerRegistry.instance;\n }\n /**\n * Register a save-handler router.\n *\n * @param saveRouter A function that maps a URL-like string onto an instance\n * of `IOHandler` with the `save` method defined or `null`.\n */\n static registerManager(scheme, manager) {\n assert(scheme != null, () => 'scheme must not be undefined or null.');\n if (scheme.endsWith(URL_SCHEME_SUFFIX)) {\n scheme = scheme.slice(0, scheme.indexOf(URL_SCHEME_SUFFIX));\n }\n assert(scheme.length > 0, () => 'scheme must not be an empty string.');\n const registry = ModelStoreManagerRegistry.getInstance();\n assert(registry.managers[scheme] == null, () => `A model store manager is already registered for scheme '${scheme}'.`);\n registry.managers[scheme] = manager;\n }\n static getManager(scheme) {\n const manager = this.getInstance().managers[scheme];\n if (manager == null) {\n throw new Error(`Cannot find model manager for scheme '${scheme}'`);\n }\n return manager;\n }\n static getSchemes() {\n return Object.keys(this.getInstance().managers);\n }\n}\n/**\n * Helper method for parsing a URL string into a scheme and a path.\n *\n * @param url E.g., 'localstorage://my-model'\n * @returns A dictionary with two fields: scheme and path.\n * Scheme: e.g., 'localstorage' in the example above.\n * Path: e.g., 'my-model' in the example above.\n */\nfunction parseURL(url) {\n if (url.indexOf(URL_SCHEME_SUFFIX) === -1) {\n throw new Error(`The url string provided does not contain a scheme. ` +\n `Supported schemes are: ` +\n `${ModelStoreManagerRegistry.getSchemes().join(',')}`);\n }\n return {\n scheme: url.split(URL_SCHEME_SUFFIX)[0],\n path: url.split(URL_SCHEME_SUFFIX)[1],\n };\n}\nasync function cloneModelInternal(sourceURL, destURL, deleteSource = false) {\n assert(sourceURL !== destURL, () => `Old path and new path are the same: '${sourceURL}'`);\n const loadHandlers = IORouterRegistry.getLoadHandlers(sourceURL);\n assert(loadHandlers.length > 0, () => `Copying failed because no load handler is found for source URL ${sourceURL}.`);\n assert(loadHandlers.length < 2, () => `Copying failed because more than one (${loadHandlers.length}) ` +\n `load handlers for source URL ${sourceURL}.`);\n const loadHandler = loadHandlers[0];\n const saveHandlers = IORouterRegistry.getSaveHandlers(destURL);\n assert(saveHandlers.length > 0, () => `Copying failed because no save handler is found for destination ` +\n `URL ${destURL}.`);\n assert(saveHandlers.length < 2, () => `Copying failed because more than one (${loadHandlers.length}) ` +\n `save handlers for destination URL ${destURL}.`);\n const saveHandler = saveHandlers[0];\n const sourceScheme = parseURL(sourceURL).scheme;\n const sourcePath = parseURL(sourceURL).path;\n const sameMedium = sourceScheme === parseURL(sourceURL).scheme;\n const modelArtifacts = await loadHandler.load();\n // If moving within the same storage medium, remove the old model as soon as\n // the loading is done. Without doing this, it is possible that the combined\n // size of the two models will cause the cloning to fail.\n if (deleteSource && sameMedium) {\n await ModelStoreManagerRegistry.getManager(sourceScheme)\n .removeModel(sourcePath);\n }\n const saveResult = await saveHandler.save(modelArtifacts);\n // If moving between mediums, the deletion is done after the save succeeds.\n // This guards against the case in which saving to the destination medium\n // fails.\n if (deleteSource && !sameMedium) {\n await ModelStoreManagerRegistry.getManager(sourceScheme)\n .removeModel(sourcePath);\n }\n return saveResult.modelArtifactsInfo;\n}\n/**\n * List all models stored in registered storage mediums.\n *\n * For a web browser environment, the registered mediums are Local Storage and\n * IndexedDB.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n * {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @returns A `Promise` of a dictionary mapping URLs of existing models to\n * their model artifacts info. URLs include medium-specific schemes, e.g.,\n * 'indexeddb://my/model/1'. Model artifacts info include type of the\n * model's topology, byte sizes of the topology, weights, etc.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Management',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nasync function listModels() {\n const schemes = ModelStoreManagerRegistry.getSchemes();\n const out = {};\n for (const scheme of schemes) {\n const schemeOut = await ModelStoreManagerRegistry.getManager(scheme).listModels();\n for (const path in schemeOut) {\n const url = scheme + URL_SCHEME_SUFFIX + path;\n out[url] = schemeOut[path];\n }\n }\n return out;\n}\n/**\n * Remove a model specified by URL from a reigstered storage medium.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n * {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @param url A URL to a stored model, with a scheme prefix, e.g.,\n * 'localstorage://my-model-1', 'indexeddb://my/model/2'.\n * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n * is successful).\n * @throws Error if deletion fails, e.g., if no model exists at `path`.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Management',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nasync function removeModel(url) {\n const schemeAndPath = parseURL(url);\n const manager = ModelStoreManagerRegistry.getManager(schemeAndPath.scheme);\n return manager.removeModel(schemeAndPath.path);\n}\n/**\n * Copy a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Copying within a storage medium, e.g.,\n * `tf.io.copyModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Copying between two storage mediums, e.g.,\n * `tf.io.copyModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n * {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Copy the model, from Local Storage to IndexedDB.\n * await tf.io.copyModel(\n * 'localstorage://demo/management/model1',\n * 'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove both models.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of copying.\n * @param destURL Destination URL of copying.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n * is successful).\n * @throws Error if copying fails, e.g., if no model exists at `sourceURL`, or\n * if `oldPath` and `newPath` are identical.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Management',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nasync function copyModel(sourceURL, destURL) {\n const deleteSource = false;\n return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n/**\n * Move a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Moving within a storage medium, e.g.,\n * `tf.io.moveModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Moving between two storage mediums, e.g.,\n * `tf.io.moveModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n * {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Move the model, from Local Storage to IndexedDB.\n * await tf.io.moveModel(\n * 'localstorage://demo/management/model1',\n * 'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove the moved model.\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of moving.\n * @param destURL Destination URL of moving.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n * is successful).\n * @throws Error if moving fails, e.g., if no model exists at `sourceURL`, or\n * if `oldPath` and `newPath` are identical.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Management',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nasync function moveModel(sourceURL, destURL) {\n const deleteSource = true;\n return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\nexport { moveModel, copyModel, removeModel, listModels };\n//# sourceMappingURL=model_management.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport '../flags';\nimport { env } from '../environment';\nimport { BrowserIndexedDB, BrowserIndexedDBManager } from '../io/indexed_db';\nimport { BrowserLocalStorage, BrowserLocalStorageManager } from '../io/local_storage';\nimport { ModelStoreManagerRegistry } from '../io/model_management';\nexport class PlatformBrowser {\n fetch(path, init) {\n return fetch(path, init);\n }\n now() {\n return performance.now();\n }\n encode(text, encoding) {\n if (encoding !== 'utf-8' && encoding !== 'utf8') {\n throw new Error(`Browser's encoder only supports utf-8, but got ${encoding}`);\n }\n if (this.textEncoder == null) {\n this.textEncoder = new TextEncoder();\n }\n return this.textEncoder.encode(text);\n }\n decode(bytes, encoding) {\n return new TextDecoder(encoding).decode(bytes);\n }\n}\nif (env().get('IS_BROWSER')) {\n env().setPlatform('browser', new PlatformBrowser());\n // Register LocalStorage IOHandler\n try {\n ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME, new BrowserLocalStorageManager());\n }\n catch (err) {\n }\n // Register IndexedDB IOHandler\n try {\n ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME, new BrowserIndexedDBManager());\n }\n catch (err) {\n }\n}\n//# sourceMappingURL=platform_browser.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { env } from '../environment';\n// We are wrapping this within an object so it can be stubbed by Jasmine.\nexport const getNodeFetch = {\n // tslint:disable-next-line:no-require-imports\n importFetch: () => require('node-fetch')\n};\nlet systemFetch;\n// These getters and setters are for testing so we don't export a mutable\n// variable.\nexport function resetSystemFetch() {\n systemFetch = null;\n}\nexport function setSystemFetch(fetchFn) {\n systemFetch = fetchFn;\n}\nexport function getSystemFetch() {\n return systemFetch;\n}\nexport class PlatformNode {\n constructor() {\n // tslint:disable-next-line:no-require-imports\n this.util = require('util');\n // According to the spec, the built-in encoder can do only UTF-8 encoding.\n // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n this.textEncoder = new this.util.TextEncoder();\n }\n fetch(path, requestInits) {\n if (env().global.fetch != null) {\n return env().global.fetch(path, requestInits);\n }\n if (systemFetch == null) {\n systemFetch = getNodeFetch.importFetch();\n }\n return systemFetch(path, requestInits);\n }\n now() {\n const time = process.hrtime();\n return time[0] * 1000 + time[1] / 1000000;\n }\n encode(text, encoding) {\n if (encoding !== 'utf-8' && encoding !== 'utf8') {\n throw new Error(`Node built-in encoder only supports utf-8, but got ${encoding}`);\n }\n return this.textEncoder.encode(text);\n }\n decode(bytes, encoding) {\n if (bytes.length === 0) {\n return '';\n }\n return new this.util.TextDecoder(encoding).decode(bytes);\n }\n}\nif (env().get('IS_NODE')) {\n env().setPlatform('node', new PlatformNode());\n}\n//# sourceMappingURL=platform_node.js.map","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { TensorBuffer } from '../tensor';\nimport * as util from '../util';\n/**\n * Creates an empty `tf.TensorBuffer` with the specified `shape` and `dtype`.\n *\n * The values are stored in CPU as `TypedArray`. Fill the buffer using\n * `buffer.set()`, or by modifying directly `buffer.values`.\n *\n * When done, call `buffer.toTensor()` to get an immutable `tf.Tensor` with\n * those values.\n *\n * ```js\n * // Create a buffer and set values at particular indices.\n * const buffer = tf.buffer([2, 2]);\n * buffer.set(3, 0, 0);\n * buffer.set(5, 1, 0);\n *\n * // Convert the buffer back to a tensor.\n * buffer.toTensor().print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The dtype of the buffer. Defaults to 'float32'.\n * @param values The values of the buffer as `TypedArray`. Defaults to\n * zeros.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nexport function buffer(shape, dtype = 'float32', values) {\n dtype = dtype || 'float32';\n util.assertNonNegativeIntegerDimensions(shape);\n return new TensorBuffer(shape, dtype, values);\n}\n//# sourceMappingURL=buffer.js.map","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { Cast } from '../kernel_names';\nimport { convertToTensor } from '../tensor_util_env';\nimport * as util from '../util';\nimport { op } from './operation';\n/**\n * Casts a `tf.Tensor` to a new dtype.\n *\n * ```js\n * const x = tf.tensor1d([1.5, 2.5, 3]);\n * tf.cast(x, 'int32').print();\n * ```\n * @param x The input tensor to be casted.\n * @param dtype The dtype to cast the input tensor to.\n *\n * @doc {heading: 'Tensors', subheading: 'Transformations'}\n */\nfunction cast_(x, dtype) {\n const $x = convertToTensor(x, 'x', 'cast');\n // Sanity checks.\n if (!util.isValidDtype(dtype)) {\n throw new Error(`Failed to cast to unknown dtype ${dtype}`);\n }\n if (dtype === 'string' && $x.dtype !== 'string' ||\n dtype !== 'string' && $x.dtype === 'string') {\n throw new Error('Only strings can be casted to strings');\n }\n const inputs = { x: $x };\n const attrs = { dtype };\n return ENGINE.runKernel(Cast, inputs, attrs);\n}\nexport const cast = op({ cast_ });\n//# sourceMappingURL=cast.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { Identity } from '../kernel_names';\nimport { convertToTensor } from '../tensor_util_env';\nimport { op } from './operation';\n/**\n * Creates a new tensor with the same values and shape as the specified\n * tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n *\n * x.clone().print();\n * ```\n *\n * @param x The tensor to clone.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nfunction clone_(x) {\n const $x = convertToTensor(x, 'x', 'clone', 'string_or_numeric');\n const inputs = { x: $x };\n // Note this op is called tf.identity in python. Hence the kernel name used\n // here.\n return ENGINE.runKernel(Identity, inputs);\n}\nexport const clone = op({ clone_ });\n//# sourceMappingURL=clone.js.map","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * Prints information about the `tf.Tensor` including its data.\n *\n * ```js\n * const verbose = true;\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print(verbose);\n * ```\n * @param x The tensor to be printed.\n * @param verbose Whether to print verbose information about the ` Tensor`,\n * including dtype and size.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nexport function print(x, verbose = false) {\n console.log(x.toString(verbose));\n}\n//# sourceMappingURL=print.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * IOHandlers related to files, such as browser-triggered file downloads,\n * user-selected files in browser.\n */\nimport '../flags';\nimport { env } from '../environment';\nimport { basename, concatenateArrayBuffers, getModelArtifactsInfoForJSON } from './io_utils';\nimport { IORouterRegistry } from './router_registry';\nconst DEFAULT_FILE_NAME_PREFIX = 'model';\nconst DEFAULT_JSON_EXTENSION_NAME = '.json';\nconst DEFAULT_WEIGHT_DATA_EXTENSION_NAME = '.weights.bin';\nfunction defer(f) {\n return new Promise(resolve => setTimeout(resolve)).then(f);\n}\nexport class BrowserDownloads {\n constructor(fileNamePrefix) {\n if (!env().getBool('IS_BROWSER')) {\n // TODO(cais): Provide info on what IOHandlers are available under the\n // current environment.\n throw new Error('browserDownloads() cannot proceed because the current environment ' +\n 'is not a browser.');\n }\n if (fileNamePrefix.startsWith(BrowserDownloads.URL_SCHEME)) {\n fileNamePrefix = fileNamePrefix.slice(BrowserDownloads.URL_SCHEME.length);\n }\n if (fileNamePrefix == null || fileNamePrefix.length === 0) {\n fileNamePrefix = DEFAULT_FILE_NAME_PREFIX;\n }\n this.modelTopologyFileName = fileNamePrefix + DEFAULT_JSON_EXTENSION_NAME;\n this.weightDataFileName =\n fileNamePrefix + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;\n }\n async save(modelArtifacts) {\n if (typeof (document) === 'undefined') {\n throw new Error('Browser downloads are not supported in ' +\n 'this environment since `document` is not present');\n }\n const weightsURL = window.URL.createObjectURL(new Blob([modelArtifacts.weightData], { type: 'application/octet-stream' }));\n if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n throw new Error('BrowserDownloads.save() does not support saving model topology ' +\n 'in binary formats yet.');\n }\n else {\n const weightsManifest = [{\n paths: ['./' + this.weightDataFileName],\n weights: modelArtifacts.weightSpecs\n }];\n const modelTopologyAndWeightManifest = {\n modelTopology: modelArtifacts.modelTopology,\n format: modelArtifacts.format,\n generatedBy: modelArtifacts.generatedBy,\n convertedBy: modelArtifacts.convertedBy,\n weightsManifest\n };\n if (modelArtifacts.signature != null) {\n modelTopologyAndWeightManifest.signature = modelArtifacts.signature;\n }\n if (modelArtifacts.userDefinedMetadata != null) {\n modelTopologyAndWeightManifest.userDefinedMetadata =\n modelArtifacts.userDefinedMetadata;\n }\n if (modelArtifacts.modelInitializer != null) {\n modelTopologyAndWeightManifest.modelInitializer =\n modelArtifacts.modelInitializer;\n }\n const modelTopologyAndWeightManifestURL = window.URL.createObjectURL(new Blob([JSON.stringify(modelTopologyAndWeightManifest)], { type: 'application/json' }));\n // If anchor elements are not provided, create them without attaching them\n // to parents, so that the downloaded file names can be controlled.\n const jsonAnchor = this.jsonAnchor == null ? document.createElement('a') :\n this.jsonAnchor;\n jsonAnchor.download = this.modelTopologyFileName;\n jsonAnchor.href = modelTopologyAndWeightManifestURL;\n // Trigger downloads by evoking a click event on the download anchors.\n // When multiple downloads are started synchronously, Firefox will only\n // save the last one.\n await defer(() => jsonAnchor.dispatchEvent(new MouseEvent('click')));\n if (modelArtifacts.weightData != null) {\n const weightDataAnchor = this.weightDataAnchor == null ?\n document.createElement('a') :\n this.weightDataAnchor;\n weightDataAnchor.download = this.weightDataFileName;\n weightDataAnchor.href = weightsURL;\n await defer(() => weightDataAnchor.dispatchEvent(new MouseEvent('click')));\n }\n return { modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts) };\n }\n }\n}\nBrowserDownloads.URL_SCHEME = 'downloads://';\nclass BrowserFiles {\n constructor(files) {\n if (files == null || files.length < 1) {\n throw new Error(`When calling browserFiles, at least 1 file is required, ` +\n `but received ${files}`);\n }\n this.files = files;\n }\n async load() {\n const jsonFile = this.files[0];\n const weightFiles = this.files.slice(1);\n return new Promise((resolve, reject) => {\n const jsonReader = new FileReader();\n jsonReader.onload = (event) => {\n // tslint:disable-next-line:no-any\n const modelJSON = JSON.parse(event.target.result);\n const modelTopology = modelJSON.modelTopology;\n if (modelTopology == null) {\n reject(new Error(`modelTopology field is missing from file ${jsonFile.name}`));\n return;\n }\n if (weightFiles.length === 0) {\n resolve({ modelTopology });\n }\n const weightsManifest = modelJSON.weightsManifest;\n if (weightsManifest == null) {\n reject(new Error(`weightManifest field is missing from file ${jsonFile.name}`));\n return;\n }\n let pathToFile;\n try {\n pathToFile =\n this.checkManifestAndWeightFiles(weightsManifest, weightFiles);\n }\n catch (err) {\n reject(err);\n return;\n }\n const weightSpecs = [];\n const paths = [];\n const perFileBuffers = [];\n weightsManifest.forEach(weightsGroup => {\n weightsGroup.paths.forEach(path => {\n paths.push(path);\n perFileBuffers.push(null);\n });\n weightSpecs.push(...weightsGroup.weights);\n });\n weightsManifest.forEach(weightsGroup => {\n weightsGroup.paths.forEach(path => {\n const weightFileReader = new FileReader();\n weightFileReader.onload = (event) => {\n // tslint:disable-next-line:no-any\n const weightData = event.target.result;\n const index = paths.indexOf(path);\n perFileBuffers[index] = weightData;\n if (perFileBuffers.indexOf(null) === -1) {\n const result = {\n modelTopology,\n weightSpecs,\n weightData: concatenateArrayBuffers(perFileBuffers),\n format: modelJSON.format,\n generatedBy: modelJSON.generatedBy,\n convertedBy: modelJSON.convertedBy\n };\n if (modelJSON.signature != null) {\n result.signature = modelJSON.signature;\n }\n if (modelJSON.userDefinedMetadata != null) {\n result.userDefinedMetadata = modelJSON.userDefinedMetadata;\n }\n if (modelJSON.modelInitializer != null) {\n result.modelInitializer = modelJSON.modelInitializer;\n }\n resolve(result);\n }\n };\n weightFileReader.onerror = error => reject(`Failed to weights data from file of path '${path}'.`);\n weightFileReader.readAsArrayBuffer(pathToFile[path]);\n });\n });\n };\n jsonReader.onerror = error => reject(`Failed to read model topology and weights manifest JSON ` +\n `from file '${jsonFile.name}'. BrowserFiles supports loading ` +\n `Keras-style tf.Model artifacts only.`);\n jsonReader.readAsText(jsonFile);\n });\n }\n /**\n * Check the compatibility between weights manifest and weight files.\n */\n checkManifestAndWeightFiles(manifest, files) {\n const basenames = [];\n const fileNames = files.map(file => basename(file.name));\n const pathToFile = {};\n for (const group of manifest) {\n group.paths.forEach(path => {\n const pathBasename = basename(path);\n if (basenames.indexOf(pathBasename) !== -1) {\n throw new Error(`Duplicate file basename found in weights manifest: ` +\n `'${pathBasename}'`);\n }\n basenames.push(pathBasename);\n if (fileNames.indexOf(pathBasename) === -1) {\n throw new Error(`Weight file with basename '${pathBasename}' is not provided.`);\n }\n else {\n pathToFile[path] = files[fileNames.indexOf(pathBasename)];\n }\n });\n }\n if (basenames.length !== files.length) {\n throw new Error(`Mismatch in the number of files in weights manifest ` +\n `(${basenames.length}) and the number of weight files provided ` +\n `(${files.length}).`);\n }\n return pathToFile;\n }\n}\nexport const browserDownloadsRouter = (url) => {\n if (!env().getBool('IS_BROWSER')) {\n return null;\n }\n else {\n if (!Array.isArray(url) && url.startsWith(BrowserDownloads.URL_SCHEME)) {\n return browserDownloads(url.slice(BrowserDownloads.URL_SCHEME.length));\n }\n else {\n return null;\n }\n }\n};\nIORouterRegistry.registerSaveRouter(browserDownloadsRouter);\n/**\n * Creates an IOHandler that triggers file downloads from the browser.\n *\n * The returned `IOHandler` instance can be used as model exporting methods such\n * as `tf.Model.save` and supports only saving.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n * {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * const saveResult = await model.save('downloads://mymodel');\n * // This will trigger downloading of two files:\n * // 'mymodel.json' and 'mymodel.weights.bin'.\n * console.log(saveResult);\n * ```\n *\n * @param fileNamePrefix Prefix name of the files to be downloaded. For use with\n * `tf.Model`, `fileNamePrefix` should follow either of the following two\n * formats:\n * 1. `null` or `undefined`, in which case the default file\n * names will be used:\n * - 'model.json' for the JSON file containing the model topology and\n * weights manifest.\n * - 'model.weights.bin' for the binary file containing the binary weight\n * values.\n * 2. A single string or an Array of a single string, as the file name prefix.\n * For example, if `'foo'` is provided, the downloaded JSON\n * file and binary weights file will be named 'foo.json' and\n * 'foo.weights.bin', respectively.\n * @param config Additional configuration for triggering downloads.\n * @returns An instance of `BrowserDownloads` `IOHandler`.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Loading',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nexport function browserDownloads(fileNamePrefix = 'model') {\n return new BrowserDownloads(fileNamePrefix);\n}\n/**\n * Creates an IOHandler that loads model artifacts from user-selected files.\n *\n * This method can be used for loading from files such as user-selected files\n * in the browser.\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * // Note: This code snippet won't run properly without the actual file input\n * // elements in the HTML DOM.\n *\n * // Suppose there are two HTML file input (``)\n * // elements.\n * const uploadJSONInput = document.getElementById('upload-json');\n * const uploadWeightsInput = document.getElementById('upload-weights');\n * const model = await tf.loadLayersModel(tf.io.browserFiles(\n * [uploadJSONInput.files[0], uploadWeightsInput.files[0]]));\n * ```\n *\n * @param files `File`s to load from. Currently, this function supports only\n * loading from files that contain Keras-style models (i.e., `tf.Model`s), for\n * which an `Array` of `File`s is expected (in that order):\n * - A JSON file containing the model topology and weight manifest.\n * - Optionally, One or more binary files containing the binary weights.\n * These files must have names that match the paths in the `weightsManifest`\n * contained by the aforementioned JSON file, or errors will be thrown\n * during loading. These weights files have the same format as the ones\n * generated by `tensorflowjs_converter` that comes with the `tensorflowjs`\n * Python PIP package. If no weights files are provided, only the model\n * topology will be loaded from the JSON file above.\n * @returns An instance of `Files` `IOHandler`.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Loading',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nexport function browserFiles(files) {\n return new BrowserFiles(files);\n}\n//# sourceMappingURL=browser_files.js.map","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// Required side effectful code for tfjs-core\n// Set up Engine and ENV\nimport { getOrMakeEngine } from './engine';\ngetOrMakeEngine();\n// Register backend-agnostic flags.\nimport './flags';\n// Register platforms\nimport './platforms/platform_browser';\nimport './platforms/platform_node';\n// Set up OpHandler\nimport { buffer } from './ops/buffer';\nimport { cast } from './ops/cast';\nimport { clone } from './ops/clone';\nimport { print } from './ops/print';\nimport { setOpHandler } from './tensor';\nconst opHandler = {\n buffer,\n cast,\n clone,\n print\n};\nsetOpHandler(opHandler);\n//# sourceMappingURL=base_side_effects.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { assert } from '../util';\n/**\n * Monitor Promise.all progress, fire onProgress callback function.\n *\n * @param promises Promise list going to be monitored\n * @param onProgress Callback function. Fired when a promise resolved.\n * @param startFraction Optional fraction start. Default to 0.\n * @param endFraction Optional fraction end. Default to 1.\n */\nexport function monitorPromisesProgress(promises, onProgress, startFraction, endFraction) {\n checkPromises(promises);\n startFraction = startFraction == null ? 0 : startFraction;\n endFraction = endFraction == null ? 1 : endFraction;\n checkFraction(startFraction, endFraction);\n let resolvedPromise = 0;\n const registerMonitor = (promise) => {\n promise.then(value => {\n const fraction = startFraction +\n ++resolvedPromise / promises.length * (endFraction - startFraction);\n // pass fraction as parameter to callback function.\n onProgress(fraction);\n return value;\n });\n return promise;\n };\n function checkPromises(promises) {\n assert(promises != null && Array.isArray(promises) && promises.length > 0, () => 'promises must be a none empty array');\n }\n function checkFraction(startFraction, endFraction) {\n assert(startFraction >= 0 && startFraction <= 1, () => `Progress fraction must be in range [0, 1], but ` +\n `got startFraction ${startFraction}`);\n assert(endFraction >= 0 && endFraction <= 1, () => `Progress fraction must be in range [0, 1], but ` +\n `got endFraction ${endFraction}`);\n assert(endFraction >= startFraction, () => `startFraction must be no more than endFraction, but ` +\n `got startFraction ${startFraction} and endFraction ` +\n `${endFraction}`);\n }\n return Promise.all(promises.map(registerMonitor));\n}\n//# sourceMappingURL=progress.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { env } from '../environment';\nimport * as util from '../util';\nimport { decodeWeights } from './io_utils';\nimport { monitorPromisesProgress } from './progress';\nimport { DTYPE_VALUE_SIZE_MAP } from './types';\n/**\n * Reads binary weights data from a number of URLs.\n *\n * @param fetchURLs URLs to send the HTTP requests at, using `fetch` calls.\n * @param requestOptions RequestInit (options) for the HTTP requests.\n * @param fetchFunc Optional overriding value for the `window.fetch` function.\n * @param onProgress Optional, progress callback function, fired periodically\n * before the load is completed.\n * @returns A `Promise` of an Array of `ArrayBuffer`. The Array has the same\n * length as `fetchURLs`.\n */\nexport async function loadWeightsAsArrayBuffer(fetchURLs, loadOptions) {\n if (loadOptions == null) {\n loadOptions = {};\n }\n const fetchFunc = loadOptions.fetchFunc == null ? env().platform.fetch :\n loadOptions.fetchFunc;\n // Create the requests for all of the weights in parallel.\n const requests = fetchURLs.map(fetchURL => fetchFunc(fetchURL, loadOptions.requestInit, { isBinary: true }));\n const fetchStartFraction = 0;\n const fetchEndFraction = 0.5;\n const responses = loadOptions.onProgress == null ?\n await Promise.all(requests) :\n await monitorPromisesProgress(requests, loadOptions.onProgress, fetchStartFraction, fetchEndFraction);\n const bufferPromises = responses.map(response => response.arrayBuffer());\n const bufferStartFraction = 0.5;\n const bufferEndFraction = 1;\n const buffers = loadOptions.onProgress == null ?\n await Promise.all(bufferPromises) :\n await monitorPromisesProgress(bufferPromises, loadOptions.onProgress, bufferStartFraction, bufferEndFraction);\n return buffers;\n}\n/**\n * Reads a weights manifest JSON configuration, fetches the weights and\n * returns them as `Tensor`s.\n *\n * @param manifest The weights manifest JSON.\n * @param filePathPrefix The path prefix for filenames given in the manifest.\n * Defaults to the empty string.\n * @param weightNames The names of the weights to be fetched.\n */\nexport async function loadWeights(manifest, filePathPrefix = '', weightNames, requestInit) {\n // TODO(nsthorat): Groups are currently fetched atomically. If you need a\n // single weight from a group, the whole group will be fetched. At a future\n // date, we should support fetching only the individual shards within a\n // group that are needed to reconstruct the requested weight.\n // TODO(cais): Use `decodeWeights` for implementation.\n const fetchWeights = (fetchUrls) => loadWeightsAsArrayBuffer(fetchUrls, { requestInit });\n const loadWeights = weightsLoaderFactory(fetchWeights);\n return loadWeights(manifest, filePathPrefix, weightNames);\n}\n/**\n * Creates a function, which reads a weights manifest JSON configuration,\n * fetches the weight files using the specified function and returns them as\n * `Tensor`s.\n *\n * ```js\n * // example for creating a nodejs weight loader, which reads the weight files\n * // from disk using fs.readFileSync\n *\n * import * as fs from 'fs'\n *\n * const fetchWeightsFromDisk = (filePaths: string[]) =>\n * filePaths.map(filePath => fs.readFileSync(filePath).buffer)\n *\n * const loadWeights = tf.io.weightsLoaderFactory(fetchWeightsFromDisk)\n *\n * const manifest = JSON.parse(\n * fs.readFileSync('./my_model-weights_manifest').toString()\n * )\n * const weightMap = await loadWeights(manifest, './')\n * ```\n * @param fetchWeightsFunction The function used for fetching the weight files.\n * @returns Weight loading function.\n */\nexport function weightsLoaderFactory(fetchWeightsFunction) {\n return async (manifest, filePathPrefix = '', weightNames) => {\n // Collect all the groups, weights, and their relative offsets to be\n // fetched.\n const groupIndicesToFetchMap = manifest.map(() => false);\n const groupWeightsToFetch = {};\n const weightsFound = weightNames != null ? weightNames.map(() => false) : [];\n const allManifestWeightNames = [];\n manifest.forEach((manifestGroupConfig, groupIndex) => {\n let groupOffset = 0;\n manifestGroupConfig.weights.forEach(weightsEntry => {\n const rawDtype = ('quantization' in weightsEntry) ?\n weightsEntry.quantization.dtype :\n weightsEntry.dtype;\n const weightsBytes = DTYPE_VALUE_SIZE_MAP[rawDtype] *\n util.sizeFromShape(weightsEntry.shape);\n const enqueueWeightsForFetchingFn = () => {\n groupIndicesToFetchMap[groupIndex] = true;\n if (groupWeightsToFetch[groupIndex] == null) {\n groupWeightsToFetch[groupIndex] = [];\n }\n groupWeightsToFetch[groupIndex].push({\n manifestEntry: weightsEntry,\n groupOffset,\n sizeBytes: weightsBytes\n });\n };\n if (weightNames != null) {\n weightNames.forEach((weightName, weightIndex) => {\n if (weightName === weightsEntry.name) {\n enqueueWeightsForFetchingFn();\n weightsFound[weightIndex] = true;\n }\n });\n }\n else {\n enqueueWeightsForFetchingFn();\n }\n allManifestWeightNames.push(weightsEntry.name);\n groupOffset += weightsBytes;\n });\n });\n if (!weightsFound.every(found => found)) {\n const weightsNotFound = weightNames.filter((_, i) => !weightsFound[i]);\n throw new Error(`Could not find weights in manifest with names: ` +\n `${weightsNotFound.join(', ')}. \\n` +\n `Manifest JSON has weights with names: ` +\n `${allManifestWeightNames.join(', ')}.`);\n }\n // Convert the one-hot boolean groupId => shouldFetch map to a list of group\n // IDs.\n const groupIndicesToFetch = groupIndicesToFetchMap.reduce((accumulator, shouldFetch, i) => {\n if (shouldFetch) {\n accumulator.push(i);\n }\n return accumulator;\n }, []);\n const fetchUrls = [];\n groupIndicesToFetch.forEach(i => {\n manifest[i].paths.forEach(filepath => {\n const fetchUrl = filePathPrefix +\n (!filePathPrefix.endsWith('/') ? '/' : '') + filepath;\n fetchUrls.push(fetchUrl);\n });\n });\n const buffers = await fetchWeightsFunction(fetchUrls);\n const weightsTensorMap = {};\n let bufferIndexOffset = 0;\n groupIndicesToFetch.forEach(i => {\n const numBuffers = manifest[i].paths.length;\n let groupBytes = 0;\n for (let i = 0; i < numBuffers; i++) {\n groupBytes += buffers[bufferIndexOffset + i].byteLength;\n }\n // Create a buffer for the whole group.\n const groupBuffer = new ArrayBuffer(groupBytes);\n const groupByteBuffer = new Uint8Array(groupBuffer);\n let groupBufferOffset = 0;\n for (let i = 0; i < numBuffers; i++) {\n const buffer = new Uint8Array(buffers[bufferIndexOffset + i]);\n groupByteBuffer.set(buffer, groupBufferOffset);\n groupBufferOffset += buffer.byteLength;\n }\n const weightsEntries = groupWeightsToFetch[i];\n weightsEntries.forEach(weightsEntry => {\n const byteBuffer = groupBuffer.slice(weightsEntry.groupOffset, weightsEntry.groupOffset + weightsEntry.sizeBytes);\n const nameToTensorMap = decodeWeights(byteBuffer, [weightsEntry.manifestEntry]);\n for (const name in nameToTensorMap) {\n weightsTensorMap[name] = nameToTensorMap[name];\n }\n });\n bufferIndexOffset += numBuffers;\n });\n return weightsTensorMap;\n };\n}\n//# sourceMappingURL=weights_loader.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * IOHandler implementations based on HTTP requests in the web browser.\n *\n * Uses [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n */\nimport { env } from '../environment';\nimport { assert } from '../util';\nimport { concatenateArrayBuffers, getModelArtifactsInfoForJSON } from './io_utils';\nimport { IORouterRegistry } from './router_registry';\nimport { loadWeightsAsArrayBuffer } from './weights_loader';\nconst OCTET_STREAM_MIME_TYPE = 'application/octet-stream';\nconst JSON_TYPE = 'application/json';\nexport class HTTPRequest {\n constructor(path, loadOptions) {\n this.DEFAULT_METHOD = 'POST';\n if (loadOptions == null) {\n loadOptions = {};\n }\n this.weightPathPrefix = loadOptions.weightPathPrefix;\n this.onProgress = loadOptions.onProgress;\n this.weightUrlConverter = loadOptions.weightUrlConverter;\n if (loadOptions.fetchFunc != null) {\n assert(typeof loadOptions.fetchFunc === 'function', () => 'Must pass a function that matches the signature of ' +\n '`fetch` (see ' +\n 'https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)');\n this.fetch = loadOptions.fetchFunc;\n }\n else {\n this.fetch = env().platform.fetch;\n }\n assert(path != null && path.length > 0, () => 'URL path for http must not be null, undefined or ' +\n 'empty.');\n if (Array.isArray(path)) {\n assert(path.length === 2, () => 'URL paths for http must have a length of 2, ' +\n `(actual length is ${path.length}).`);\n }\n this.path = path;\n if (loadOptions.requestInit != null &&\n loadOptions.requestInit.body != null) {\n throw new Error('requestInit is expected to have no pre-existing body, but has one.');\n }\n this.requestInit = loadOptions.requestInit || {};\n }\n async save(modelArtifacts) {\n if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n throw new Error('BrowserHTTPRequest.save() does not support saving model topology ' +\n 'in binary formats yet.');\n }\n const init = Object.assign({ method: this.DEFAULT_METHOD }, this.requestInit);\n init.body = new FormData();\n const weightsManifest = [{\n paths: ['./model.weights.bin'],\n weights: modelArtifacts.weightSpecs,\n }];\n const modelTopologyAndWeightManifest = {\n modelTopology: modelArtifacts.modelTopology,\n format: modelArtifacts.format,\n generatedBy: modelArtifacts.generatedBy,\n convertedBy: modelArtifacts.convertedBy,\n weightsManifest\n };\n if (modelArtifacts.signature != null) {\n modelTopologyAndWeightManifest.signature = modelArtifacts.signature;\n }\n if (modelArtifacts.userDefinedMetadata != null) {\n modelTopologyAndWeightManifest.userDefinedMetadata =\n modelArtifacts.userDefinedMetadata;\n }\n if (modelArtifacts.modelInitializer != null) {\n modelTopologyAndWeightManifest.modelInitializer =\n modelArtifacts.modelInitializer;\n }\n init.body.append('model.json', new Blob([JSON.stringify(modelTopologyAndWeightManifest)], { type: JSON_TYPE }), 'model.json');\n if (modelArtifacts.weightData != null) {\n init.body.append('model.weights.bin', new Blob([modelArtifacts.weightData], { type: OCTET_STREAM_MIME_TYPE }), 'model.weights.bin');\n }\n const response = await this.fetch(this.path, init);\n if (response.ok) {\n return {\n modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts),\n responses: [response],\n };\n }\n else {\n throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ` +\n `${response.status}.`);\n }\n }\n /**\n * Load model artifacts via HTTP request(s).\n *\n * See the documentation to `tf.io.http` for details on the saved\n * artifacts.\n *\n * @returns The loaded model artifacts (if loading succeeds).\n */\n async load() {\n const modelConfigRequest = await this.fetch(this.path, this.requestInit);\n if (!modelConfigRequest.ok) {\n throw new Error(`Request to ${this.path} failed with status code ` +\n `${modelConfigRequest.status}. Please verify this URL points to ` +\n `the model JSON of the model to load.`);\n }\n let modelConfig;\n try {\n modelConfig = await modelConfigRequest.json();\n }\n catch (e) {\n let message = `Failed to parse model JSON of response from ${this.path}.`;\n // TODO(nsthorat): Remove this after some time when we're comfortable that\n // .pb files are mostly gone.\n if (this.path.endsWith('.pb')) {\n message += ' Your path contains a .pb file extension. ' +\n 'Support for .pb models have been removed in TensorFlow.js 1.0 ' +\n 'in favor of .json models. You can re-convert your Python ' +\n 'TensorFlow model using the TensorFlow.js 1.0 conversion scripts ' +\n 'or you can convert your.pb models with the \\'pb2json\\'' +\n 'NPM script in the tensorflow/tfjs-converter repository.';\n }\n else {\n message += ' Please make sure the server is serving valid ' +\n 'JSON for this request.';\n }\n throw new Error(message);\n }\n const modelTopology = modelConfig.modelTopology;\n const weightsManifest = modelConfig.weightsManifest;\n const generatedBy = modelConfig.generatedBy;\n const convertedBy = modelConfig.convertedBy;\n const format = modelConfig.format;\n const signature = modelConfig.signature;\n const userDefinedMetadata = modelConfig.userDefinedMetadata;\n // We do not allow both modelTopology and weightsManifest to be missing.\n if (modelTopology == null && weightsManifest == null) {\n throw new Error(`The JSON from HTTP path ${this.path} contains neither model ` +\n `topology or manifest for weights.`);\n }\n let weightSpecs;\n let weightData;\n if (weightsManifest != null) {\n const results = await this.loadWeights(weightsManifest);\n [weightSpecs, weightData] = results;\n }\n const artifacts = {\n modelTopology,\n weightSpecs,\n weightData,\n generatedBy,\n convertedBy,\n format\n };\n if (signature != null) {\n artifacts.signature = signature;\n }\n if (userDefinedMetadata != null) {\n artifacts.userDefinedMetadata = userDefinedMetadata;\n }\n const initializer = modelConfig.modelInitializer;\n if (initializer) {\n artifacts.modelInitializer = initializer;\n }\n return artifacts;\n }\n async loadWeights(weightsManifest) {\n const weightPath = Array.isArray(this.path) ? this.path[1] : this.path;\n const [prefix, suffix] = parseUrl(weightPath);\n const pathPrefix = this.weightPathPrefix || prefix;\n const weightSpecs = [];\n for (const entry of weightsManifest) {\n weightSpecs.push(...entry.weights);\n }\n const fetchURLs = [];\n const urlPromises = [];\n for (const weightsGroup of weightsManifest) {\n for (const path of weightsGroup.paths) {\n if (this.weightUrlConverter != null) {\n urlPromises.push(this.weightUrlConverter(path));\n }\n else {\n fetchURLs.push(pathPrefix + path + suffix);\n }\n }\n }\n if (this.weightUrlConverter) {\n fetchURLs.push(...await Promise.all(urlPromises));\n }\n const buffers = await loadWeightsAsArrayBuffer(fetchURLs, {\n requestInit: this.requestInit,\n fetchFunc: this.fetch,\n onProgress: this.onProgress\n });\n return [weightSpecs, concatenateArrayBuffers(buffers)];\n }\n}\nHTTPRequest.URL_SCHEME_REGEX = /^https?:\\/\\//;\n/**\n * Extract the prefix and suffix of the url, where the prefix is the path before\n * the last file, and suffix is the search params after the last file.\n * ```\n * const url = 'http://tfhub.dev/model/1/tensorflowjs_model.pb?tfjs-format=file'\n * [prefix, suffix] = parseUrl(url)\n * // prefix = 'http://tfhub.dev/model/1/'\n * // suffix = '?tfjs-format=file'\n * ```\n * @param url the model url to be parsed.\n */\nexport function parseUrl(url) {\n const lastSlash = url.lastIndexOf('/');\n const lastSearchParam = url.lastIndexOf('?');\n const prefix = url.substring(0, lastSlash);\n const suffix = lastSearchParam > lastSlash ? url.substring(lastSearchParam) : '';\n return [prefix + '/', suffix];\n}\nexport function isHTTPScheme(url) {\n return url.match(HTTPRequest.URL_SCHEME_REGEX) != null;\n}\nexport const httpRouter = (url, loadOptions) => {\n if (typeof fetch === 'undefined' &&\n (loadOptions == null || loadOptions.fetchFunc == null)) {\n // `http` uses `fetch` or `node-fetch`, if one wants to use it in\n // an environment that is not the browser or node they have to setup a\n // global fetch polyfill.\n return null;\n }\n else {\n let isHTTP = true;\n if (Array.isArray(url)) {\n isHTTP = url.every(urlItem => isHTTPScheme(urlItem));\n }\n else {\n isHTTP = isHTTPScheme(url);\n }\n if (isHTTP) {\n return http(url, loadOptions);\n }\n }\n return null;\n};\nIORouterRegistry.registerSaveRouter(httpRouter);\nIORouterRegistry.registerLoadRouter(httpRouter);\n/**\n * Creates an IOHandler subtype that sends model artifacts to HTTP server.\n *\n * An HTTP request of the `multipart/form-data` mime type will be sent to the\n * `path` URL. The form data includes artifacts that represent the topology\n * and/or weights of the model. In the case of Keras-style `tf.Model`, two\n * blobs (files) exist in form-data:\n * - A JSON file consisting of `modelTopology` and `weightsManifest`.\n * - A binary weights file consisting of the concatenated weight values.\n * These files are in the same format as the one generated by\n * [tfjs_converter](https://js.tensorflow.org/tutorials/import-keras.html).\n *\n * The following code snippet exemplifies the client-side code that uses this\n * function:\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n * tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save(tf.io.http(\n * 'http://model-server:5000/upload', {requestInit: {method: 'PUT'}}));\n * console.log(saveResult);\n * ```\n *\n * If the default `POST` method is to be used, without any custom parameters\n * such as headers, you can simply pass an HTTP or HTTPS URL to `model.save`:\n *\n * ```js\n * const saveResult = await model.save('http://model-server:5000/upload');\n * ```\n *\n * The following GitHub Gist\n * https://gist.github.com/dsmilkov/1b6046fd6132d7408d5257b0976f7864\n * implements a server based on [flask](https://github.com/pallets/flask) that\n * can receive the request. Upon receiving the model artifacts via the requst,\n * this particular server reconsistutes instances of [Keras\n * Models](https://keras.io/models/model/) in memory.\n *\n *\n * @param path A URL path to the model.\n * Can be an absolute HTTP path (e.g.,\n * 'http://localhost:8000/model-upload)') or a relative path (e.g.,\n * './model-upload').\n * @param requestInit Request configurations to be used when sending\n * HTTP request to server using `fetch`. It can contain fields such as\n * `method`, `credentials`, `headers`, `mode`, etc. See\n * https://developer.mozilla.org/en-US/docs/Web/API/Request/Request\n * for more information. `requestInit` must not have a body, because the\n * body will be set by TensorFlow.js. File blobs representing the model\n * topology (filename: 'model.json') and the weights of the model (filename:\n * 'model.weights.bin') will be appended to the body. If `requestInit` has a\n * `body`, an Error will be thrown.\n * @param loadOptions Optional configuration for the loading. It includes the\n * following fields:\n * - weightPathPrefix Optional, this specifies the path prefix for weight\n * files, by default this is calculated from the path param.\n * - fetchFunc Optional, custom `fetch` function. E.g., in Node.js,\n * the `fetch` from node-fetch can be used here.\n * - onProgress Optional, progress callback function, fired periodically\n * before the load is completed.\n * @returns An instance of `IOHandler`.\n *\n * @doc {\n * heading: 'Models',\n * subheading: 'Loading',\n * namespace: 'io',\n * ignoreCI: true\n * }\n */\nexport function http(path, loadOptions) {\n return new HTTPRequest(path, loadOptions);\n}\n/**\n * Deprecated. Use `tf.io.http`.\n * @param path\n * @param loadOptions\n */\nexport function browserHTTPRequest(path, loadOptions) {\n return http(path, loadOptions);\n}\n//# sourceMappingURL=http.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nclass PassthroughLoader {\n constructor(modelArtifacts) {\n this.modelArtifacts = modelArtifacts;\n }\n async load() {\n return this.modelArtifacts;\n }\n}\nclass PassthroughSaver {\n constructor(saveHandler) {\n this.saveHandler = saveHandler;\n }\n async save(modelArtifacts) {\n return this.saveHandler(modelArtifacts);\n }\n}\n/**\n * Creates an IOHandler that loads model artifacts from memory.\n *\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * const model = await tf.loadLayersModel(tf.io.fromMemory(\n * modelTopology, weightSpecs, weightData));\n * ```\n *\n * @param modelArtifacts a object containing model topology (i.e., parsed from\n * the JSON format).\n * @param weightSpecs An array of `WeightsManifestEntry` objects describing the\n * names, shapes, types, and quantization of the weight data.\n * @param weightData A single `ArrayBuffer` containing the weight data,\n * concatenated in the order described by the weightSpecs.\n * @param trainingConfig Model training configuration. Optional.\n *\n * @returns A passthrough `IOHandler` that simply loads the provided data.\n */\nexport function fromMemory(modelArtifacts, weightSpecs, weightData, trainingConfig) {\n if (arguments.length === 1) {\n const isModelArtifacts = modelArtifacts.modelTopology != null ||\n modelArtifacts.weightSpecs != null;\n if (isModelArtifacts) {\n return new PassthroughLoader(modelArtifacts);\n }\n else {\n // Legacy support: with only modelTopology.\n // TODO(cais): Remove this deprecated API.\n console.warn('Please call tf.io.fromMemory() with only one argument. ' +\n 'The argument should be of type ModelArtifacts. ' +\n 'The multi-argument signature of tf.io.fromMemory() has been ' +\n 'deprecated and will be removed in a future release.');\n return new PassthroughLoader({ modelTopology: modelArtifacts });\n }\n }\n else {\n // Legacy support.\n // TODO(cais): Remove this deprecated API.\n console.warn('Please call tf.io.fromMemory() with only one argument. ' +\n 'The argument should be of type ModelArtifacts. ' +\n 'The multi-argument signature of tf.io.fromMemory() has been ' +\n 'deprecated and will be removed in a future release.');\n return new PassthroughLoader({\n modelTopology: modelArtifacts,\n weightSpecs,\n weightData,\n trainingConfig\n });\n }\n}\n/**\n * Creates an IOHandler that passes saved model artifacts to a callback.\n *\n * ```js\n * function handleSave(artifacts) {\n * // ... do something with the artifacts ...\n * return {modelArtifactsInfo: {...}, ...};\n * }\n *\n * const saveResult = model.save(tf.io.withSaveHandler(handleSave));\n * ```\n *\n * @param saveHandler A function that accepts a `ModelArtifacts` and returns a\n * `SaveResult`.\n */\nexport function withSaveHandler(saveHandler) {\n return new PassthroughSaver(saveHandler);\n}\n//# sourceMappingURL=passthrough.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { BatchMatMul } from '../kernel_names';\nimport { makeTypesMatch } from '../tensor_util';\nimport { convertToTensor } from '../tensor_util_env';\nimport { op } from './operation';\n/**\n * Computes the dot product of two matrices, A * B. These must be matrices.\n *\n * ```js\n * const a = tf.tensor2d([1, 2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.matMul(b).print(); // or tf.matMul(a, b)\n * ```\n * @param a First matrix in dot product operation.\n * @param b Second matrix in dot product operation.\n * @param transposeA If true, `a` is transposed before multiplication.\n * @param transposeB If true, `b` is transposed before multiplication.\n *\n * @doc {heading: 'Operations', subheading: 'Matrices'}\n */\nfunction matMul_(a, b, transposeA = false, transposeB = false) {\n let $a = convertToTensor(a, 'a', 'matMul');\n let $b = convertToTensor(b, 'b', 'matMul');\n [$a, $b] = makeTypesMatch($a, $b);\n const inputs = { a: $a, b: $b };\n const attrs = { transposeA, transposeB };\n return ENGINE.runKernel(BatchMatMul, inputs, attrs);\n}\nexport const matMul = op({ matMul_ });\n//# sourceMappingURL=mat_mul.js.map","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { OneHot } from '../kernel_names';\nimport { convertToTensor } from '../tensor_util_env';\nimport { op } from './operation';\n/**\n * Creates a one-hot `tf.Tensor`. The locations represented by `indices` take\n * value `onValue` (defaults to 1), while all other locations take value\n * `offValue` (defaults to 0). If `indices` is rank `R`, the output has rank\n * `R+1` with the last axis of size `depth`.\n *\n * ```js\n * tf.oneHot(tf.tensor1d([0, 1], 'int32'), 3).print();\n * ```\n *\n * @param indices `tf.Tensor` of indices with dtype `int32`.\n * @param depth The depth of the one hot dimension.\n * @param onValue A number used to fill in the output when the index matches\n * the location.\n * @param offValue A number used to fill in the output when the index does\n * not match the location.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nfunction oneHot_(indices, depth, onValue = 1, offValue = 0) {\n if (depth < 2) {\n throw new Error(`Error in oneHot: depth must be >=2, but it is ${depth}`);\n }\n const $indices = convertToTensor(indices, 'indices', 'oneHot', 'int32');\n const inputs = { indices: $indices };\n const attrs = { depth, onValue, offValue };\n return ENGINE.runKernel(OneHot, inputs, attrs);\n}\nexport const oneHot = op({ oneHot_ });\n//# sourceMappingURL=one_hot.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { Transpose } from '../kernel_names';\nimport { convertToTensor } from '../tensor_util_env';\nimport * as util from '../util';\nimport { op } from './operation';\n/**\n * Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`.\n *\n * The returned `tf.Tensor`'s dimension `i` will correspond to the input\n * dimension `perm[i]`. If `perm` is not given, it is set to `[n-1...0]`,\n * where `n` is the rank of the input `tf.Tensor`. Hence by default, this\n * operation performs a regular matrix transpose on 2-D input `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n *\n * a.transpose().print(); // or tf.transpose(a)\n * ```\n *\n * @param x The tensor to transpose.\n * @param perm The permutation of the dimensions of a.\n *\n * @doc {heading: 'Operations', subheading: 'Matrices'}\n */\nfunction transpose_(x, perm) {\n const $x = convertToTensor(x, 'x', 'transpose');\n if (perm == null) {\n perm = $x.shape.map((s, i) => i).reverse();\n }\n util.assert($x.rank === perm.length, () => `Error in transpose: rank of input ${$x.rank} ` +\n `must match length of perm ${perm}.`);\n perm.forEach(axis => {\n util.assert(axis >= 0 && axis < $x.rank, () => `All entries in 'perm' must be between 0 and ${$x.rank - 1}` +\n ` but got ${perm}`);\n });\n if ($x.rank <= 1) {\n return $x.clone();\n }\n const inputs = { x: $x };\n const attrs = { perm };\n return ENGINE.runKernel(Transpose, inputs, attrs);\n}\nexport const transpose = op({ transpose_ });\n//# sourceMappingURL=transpose.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { convertToTensor } from '../tensor_util_env';\nimport * as util from '../util';\nimport { cast } from './cast';\nimport { matMul } from './mat_mul';\nimport { oneHot } from './one_hot';\nimport { op } from './operation';\nimport { transpose } from './transpose';\n/**\n * Computes the confusion matrix from true labels and predicted labels.\n *\n * ```js\n * const labels = tf.tensor1d([0, 1, 2, 1, 0], 'int32');\n * const predictions = tf.tensor1d([0, 2, 2, 1, 0], 'int32');\n * const numClasses = 3;\n * const out = tf.math.confusionMatrix(labels, predictions, numClasses);\n * out.print();\n * // Expected output matrix:\n * // [[2, 0, 0],\n * // [0, 1, 1],\n * // [0, 0, 1]]\n * ```\n *\n * @param labels The target labels, assumed to be 0-based integers\n * for the classes. The shape is `[numExamples]`, where\n * `numExamples` is the number of examples included.\n * @param predictions The predicted classes, assumed to be\n * 0-based integers for the classes. Must have the same shape as `labels`.\n * @param numClasses Number of all classes, as an integer.\n * Its value must be larger than the largest element in `labels` and\n * `predictions`.\n * @returns The confusion matrix as a int32-type 2D tensor. The value at\n * row `r` and column `c` is the number of times examples of actual class\n * `r` were predicted as class `c`.\n *\n * @doc {heading: 'Operations', subheading: 'Evaluation'}\n */\nexport function confusionMatrix_(labels, predictions, numClasses) {\n const $labels = convertToTensor(labels, 'labels', 'confusionMatrix');\n const $predictions = convertToTensor(predictions, 'predictions', 'confusionMatrix');\n util.assert(numClasses == null || numClasses > 0 && Number.isInteger(numClasses), () => `If provided, numClasses must be a positive integer, ` +\n `but got ${numClasses}`);\n util.assert($labels.rank === 1, () => `Expected the rank of labels to be 1, but got ${$labels.rank}`);\n util.assert($predictions.rank === 1, () => `Expected the rank of predictions to be 1, ` +\n `but got ${$predictions.rank}`);\n util.assert($labels.shape[0] === $predictions.shape[0], () => `Mismatch in the number of examples: ` +\n `${$labels.shape[0]} vs. ${$predictions.shape[0]}. ` +\n `Labels and predictions should have the same number of elements.`);\n util.assert(numClasses > 0 && Number.isInteger(numClasses), () => `numClasses is required to be a positive integer, but got ` +\n `${numClasses}`);\n // TODO(cais): In the future, if oneHot supports tensors inputs for\n // `numClasses`, `confusionMatrix` can make `numClasses` optional.\n const oneHotLabels = oneHot(cast($labels, 'int32'), numClasses);\n const oneHotPredictions = oneHot(cast($predictions, 'int32'), numClasses);\n const oneHotLabelsT = transpose(oneHotLabels);\n const product = matMul(oneHotLabelsT, oneHotPredictions);\n return cast(product, 'int32');\n}\nexport const confusionMatrix = op({ confusionMatrix_ });\n//# sourceMappingURL=confusion_matrix.js.map","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { inferShape } from '../tensor_util_env';\nimport { assertNonNull } from '../util';\nimport { makeTensor } from './tensor_ops_util';\n/**\n * Creates rank-3 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor3d` as it makes the code more readable.\n *\n * ```js\n * // Pass a nested array.\n * tf.tensor3d([[[1], [2]], [[3], [4]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor3d([1, 2, 3, 4], [2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n * or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided, it is inferred from\n * `values`.\n * @param dtype The data type.\n *\n * @doc {heading: 'Tensors', subheading: 'Creation'}\n */\nexport function tensor3d(values, shape, dtype) {\n assertNonNull(values);\n if (shape != null && shape.length !== 3) {\n throw new Error('tensor3d() requires shape to have three numbers');\n }\n const inferredShape = inferShape(values, dtype);\n if (inferredShape.length !== 3 && inferredShape.length !== 1) {\n throw new Error('tensor3d() requires values to be number[][][] or flat/TypedArray');\n }\n if (inferredShape.length === 1 && shape == null) {\n throw new Error('tensor3d() requires shape to be provided when `values` ' +\n 'are a flat array');\n }\n return makeTensor(values, shape, inferredShape, dtype);\n}\n//# sourceMappingURL=tensor3d.js.map","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport { ENGINE } from '../engine';\nimport { env } from '../environment';\nimport { FromPixels } from '../kernel_names';\nimport { getKernel } from '../kernel_registry';\nimport { Tensor } from '../tensor';\nimport { convertToTensor } from '../tensor_util_env';\nimport { cast } from './cast';\nimport { op } from './operation';\nimport { tensor3d } from './tensor3d';\nlet fromPixels2DContext;\n/**\n * Creates a `tf.Tensor` from an image.\n *\n * ```js\n * const image = new ImageData(1, 1);\n * image.data[0] = 100;\n * image.data[1] = 150;\n * image.data[2] = 200;\n * image.data[3] = 255;\n *\n * tf.browser.fromPixels(image).print();\n * ```\n *\n * @param pixels The input image to construct the tensor from. The\n * supported image types are all 4-channel. You can also pass in an image\n * object with following attributes:\n * `{data: Uint8Array; width: number; height: number}`\n * @param numChannels The number of channels of the output tensor. A\n * numChannels value less than 4 allows you to ignore channels. Defaults to\n * 3 (ignores alpha channel of input image).\n *\n * @returns A Tensor3D with the shape `[height, width, numChannels]`.\n *\n * @doc {heading: 'Browser', namespace: 'browser', ignoreCI: true}\n */\nfunction fromPixels_(pixels, numChannels = 3) {\n // Sanity checks.\n if (numChannels > 4) {\n throw new Error('Cannot construct Tensor with more than 4 channels from pixels.');\n }\n if (pixels == null) {\n throw new Error('pixels passed to tf.browser.fromPixels() can not be null');\n }\n let isPixelData = false;\n let isImageData = false;\n let isVideo = false;\n let isImage = false;\n let isCanvasLike = false;\n let isImageBitmap = false;\n if (pixels.data instanceof Uint8Array) {\n isPixelData = true;\n }\n else if (typeof (ImageData) !== 'undefined' && pixels instanceof ImageData) {\n isImageData = true;\n }\n else if (typeof (HTMLVideoElement) !== 'undefined' &&\n pixels instanceof HTMLVideoElement) {\n isVideo = true;\n }\n else if (typeof (HTMLImageElement) !== 'undefined' &&\n pixels instanceof HTMLImageElement) {\n isImage = true;\n // tslint:disable-next-line: no-any\n }\n else if (pixels.getContext != null) {\n isCanvasLike = true;\n }\n else if (typeof (ImageBitmap) !== 'undefined' && pixels instanceof ImageBitmap) {\n isImageBitmap = true;\n }\n else {\n throw new Error('pixels passed to tf.browser.fromPixels() must be either an ' +\n `HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData ` +\n `in browser, or OffscreenCanvas, ImageData in webworker` +\n ` or {data: Uint32Array, width: number, height: number}, ` +\n `but was ${pixels.constructor.name}`);\n }\n if (isVideo) {\n const HAVE_CURRENT_DATA_READY_STATE = 2;\n if (isVideo &&\n pixels.readyState <\n HAVE_CURRENT_DATA_READY_STATE) {\n throw new Error('The video element has not loaded data yet. Please wait for ' +\n '`loadeddata` event on the ': break;\n\t\t\tcase '': pass = false; break;\n\t\t\tdefault:\n\t\t\t\tif(y[0].charCodeAt(1) !== 47 && !pass) throw new Error('Unrecognized rich format ' + y[0]);\n\t\t}\n\t}\n\treturn font;\n}\n\nvar parse_rs = (function() {\n\tvar tregex = matchtag(\"t\"), rpregex = matchtag(\"rPr\");\n\t/* 18.4.4 r CT_RElt */\n\tfunction parse_r(r) {\n\t\t/* 18.4.12 t ST_Xstring */\n\t\tvar t = r.match(tregex)/*, cp = 65001*/;\n\t\tif(!t) return {t:\"s\", v:\"\"};\n\n\t\tvar o = ({t:'s', v:unescapexml(t[1])});\n\t\tvar rpr = r.match(rpregex);\n\t\tif(rpr) o.s = parse_rpr(rpr[1]);\n\t\treturn o;\n\t}\n\tvar rregex = /<(?:\\w+:)?r>/g, rend = /<\\/(?:\\w+:)?r>/;\n\treturn function parse_rs(rs) {\n\t\treturn rs.replace(rregex,\"\").split(rend).map(parse_r).filter(function(r) { return r.v; });\n\t};\n})();\n\n\n/* Parse a list of tags */\nvar rs_to_html = (function parse_rs_factory() {\n\tvar nlregex = /(\\r\\n|\\n)/g;\n\tfunction parse_rpr2(font, intro, outro) {\n\t\tvar style = [];\n\n\t\tif(font.u) style.push(\"text-decoration: underline;\");\n\t\tif(font.uval) style.push(\"text-underline-style:\" + font.uval + \";\");\n\t\tif(font.sz) style.push(\"font-size:\" + font.sz + \"pt;\");\n\t\tif(font.outline) style.push(\"text-effect: outline;\");\n\t\tif(font.shadow) style.push(\"text-shadow: auto;\");\n\t\tintro.push('');\n\n\t\tif(font.b) { intro.push(\"\"); outro.push(\"\"); }\n\t\tif(font.i) { intro.push(\"\"); outro.push(\"\"); }\n\t\tif(font.strike) { intro.push(\"\"); outro.push(\"\"); }\n\n\t\tvar align = font.valign || \"\";\n\t\tif(align == \"superscript\" || align == \"super\") align = \"sup\";\n\t\telse if(align == \"subscript\") align = \"sub\";\n\t\tif(align != \"\") { intro.push(\"<\" + align + \">\"); outro.push(\"\"); }\n\n\t\toutro.push(\"\");\n\t\treturn font;\n\t}\n\n\t/* 18.4.4 r CT_RElt */\n\tfunction r_to_html(r) {\n\t\tvar terms = [[],r.v,[]];\n\t\tif(!r.v) return \"\";\n\n\t\tif(r.s) parse_rpr2(r.s, terms[0], terms[2]);\n\n\t\treturn terms[0].join(\"\") + terms[1].replace(nlregex,'
') + terms[2].join(\"\");\n\t}\n\n\treturn function parse_rs(rs) {\n\t\treturn rs.map(r_to_html).join(\"\");\n\t};\n})();\n\n/* 18.4.8 si CT_Rst */\nvar sitregex = /<(?:\\w+:)?t[^>]*>([^<]*)<\\/(?:\\w+:)?t>/g, sirregex = /<(?:\\w+:)?r>/;\nvar sirphregex = /<(?:\\w+:)?rPh.*?>([\\s\\S]*?)<\\/(?:\\w+:)?rPh>/g;\nfunction parse_si(x, opts) {\n\tvar html = opts ? opts.cellHTML : true;\n\tvar z = {};\n\tif(!x) return { t: \"\" };\n\t//var y;\n\t/* 18.4.12 t ST_Xstring (Plaintext String) */\n\t// TODO: is whitespace actually valid here?\n\tif(x.match(/^\\s*<(?:\\w+:)?t[^>]*>/)) {\n\t\tz.t = unescapexml(utf8read(x.slice(x.indexOf(\">\")+1).split(/<\\/(?:\\w+:)?t>/)[0]||\"\"));\n\t\tz.r = utf8read(x);\n\t\tif(html) z.h = escapehtml(z.t);\n\t}\n\t/* 18.4.4 r CT_RElt (Rich Text Run) */\n\telse if((/*y = */x.match(sirregex))) {\n\t\tz.r = utf8read(x);\n\t\tz.t = unescapexml(utf8read((x.replace(sirphregex, '').match(sitregex)||[]).join(\"\").replace(tagregex,\"\")));\n\t\tif(html) z.h = rs_to_html(parse_rs(z.r));\n\t}\n\t/* 18.4.3 phoneticPr CT_PhoneticPr (TODO: needed for Asian support) */\n\t/* 18.4.6 rPh CT_PhoneticRun (TODO: needed for Asian support) */\n\treturn z;\n}\n\n/* 18.4 Shared String Table */\nvar sstr0 = /<(?:\\w+:)?sst([^>]*)>([\\s\\S]*)<\\/(?:\\w+:)?sst>/;\nvar sstr1 = /<(?:\\w+:)?(?:si|sstItem)>/g;\nvar sstr2 = /<\\/(?:\\w+:)?(?:si|sstItem)>/;\nfunction parse_sst_xml(data, opts) {\n\tvar s = ([]), ss = \"\";\n\tif(!data) return s;\n\t/* 18.4.9 sst CT_Sst */\n\tvar sst = data.match(sstr0);\n\tif(sst) {\n\t\tss = sst[2].replace(sstr1,\"\").split(sstr2);\n\t\tfor(var i = 0; i != ss.length; ++i) {\n\t\t\tvar o = parse_si(ss[i].trim(), opts);\n\t\t\tif(o != null) s[s.length] = o;\n\t\t}\n\t\tsst = parsexmltag(sst[1]); s.Count = sst.count; s.Unique = sst.uniqueCount;\n\t}\n\treturn s;\n}\n\nRELS.SST = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/sharedStrings\";\nvar straywsregex = /^\\s|\\s$|[\\t\\n\\r]/;\nfunction write_sst_xml(sst, opts) {\n\tif(!opts.bookSST) return \"\";\n\tvar o = [XML_HEADER];\n\to[o.length] = (writextag('sst', null, {\n\t\txmlns: XMLNS.main[0],\n\t\tcount: sst.Count,\n\t\tuniqueCount: sst.Unique\n\t}));\n\tfor(var i = 0; i != sst.length; ++i) { if(sst[i] == null) continue;\n\t\tvar s = sst[i];\n\t\tvar sitag = \"\";\n\t\tif(s.r) sitag += s.r;\n\t\telse {\n\t\t\tsitag += \"\" + escapexml(s.t) + \"\";\n\t\t}\n\t\tsitag += \"\";\n\t\to[o.length] = (sitag);\n\t}\n\tif(o.length>2){ o[o.length] = (''); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.221 BrtBeginSst */\nfunction parse_BrtBeginSst(data) {\n\treturn [data.read_shift(4), data.read_shift(4)];\n}\n\n/* [MS-XLSB] 2.1.7.45 Shared Strings */\nfunction parse_sst_bin(data, opts) {\n\tvar s = ([]);\n\tvar pass = false;\n\trecordhopper(data, function hopper_sst(val, R_n, RT) {\n\t\tswitch(RT) {\n\t\t\tcase 0x009F: /* 'BrtBeginSst' */\n\t\t\t\ts.Count = val[0]; s.Unique = val[1]; break;\n\t\t\tcase 0x0013: /* 'BrtSSTItem' */\n\t\t\t\ts.push(val); break;\n\t\t\tcase 0x00A0: /* 'BrtEndSst' */\n\t\t\t\treturn true;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\n\t\t\tdefault:\n\t\t\t\tif(R_n.indexOf(\"Begin\") > 0){/* empty */}\n\t\t\t\telse if(R_n.indexOf(\"End\") > 0){/* empty */}\n\t\t\t\tif(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t});\n\treturn s;\n}\n\nfunction write_BrtBeginSst(sst, o) {\n\tif(!o) o = new_buf(8);\n\to.write_shift(4, sst.Count);\n\to.write_shift(4, sst.Unique);\n\treturn o;\n}\n\nvar write_BrtSSTItem = write_RichStr;\n\nfunction write_sst_bin(sst) {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginSst\", write_BrtBeginSst(sst));\n\tfor(var i = 0; i < sst.length; ++i) write_record(ba, \"BrtSSTItem\", write_BrtSSTItem(sst[i]));\n\t/* FRTSST */\n\twrite_record(ba, \"BrtEndSst\");\n\treturn ba.end();\n}\nfunction _JS2ANSI(str) {\n\tif(typeof cptable !== 'undefined') return cptable.utils.encode(current_ansi, str);\n\tvar o = [], oo = str.split(\"\");\n\tfor(var i = 0; i < oo.length; ++i) o[i] = oo[i].charCodeAt(0);\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.4 Version */\nfunction parse_CRYPTOVersion(blob, length) {\n\tvar o = {};\n\to.Major = blob.read_shift(2);\n\to.Minor = blob.read_shift(2);\nif(length >= 4) blob.l += length - 4;\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.5 DataSpaceVersionInfo */\nfunction parse_DataSpaceVersionInfo(blob) {\n\tvar o = {};\n\to.id = blob.read_shift(0, 'lpp4');\n\to.R = parse_CRYPTOVersion(blob, 4);\n\to.U = parse_CRYPTOVersion(blob, 4);\n\to.W = parse_CRYPTOVersion(blob, 4);\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.6.1 DataSpaceMapEntry Structure */\nfunction parse_DataSpaceMapEntry(blob) {\n\tvar len = blob.read_shift(4);\n\tvar end = blob.l + len - 4;\n\tvar o = {};\n\tvar cnt = blob.read_shift(4);\n\tvar comps = [];\n\t/* [MS-OFFCRYPTO] 2.1.6.2 DataSpaceReferenceComponent Structure */\n\twhile(cnt-- > 0) comps.push({ t: blob.read_shift(4), v: blob.read_shift(0, 'lpp4') });\n\to.name = blob.read_shift(0, 'lpp4');\n\to.comps = comps;\n\tif(blob.l != end) throw new Error(\"Bad DataSpaceMapEntry: \" + blob.l + \" != \" + end);\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.6 DataSpaceMap */\nfunction parse_DataSpaceMap(blob) {\n\tvar o = [];\n\tblob.l += 4; // must be 0x8\n\tvar cnt = blob.read_shift(4);\n\twhile(cnt-- > 0) o.push(parse_DataSpaceMapEntry(blob));\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.7 DataSpaceDefinition */\nfunction parse_DataSpaceDefinition(blob) {\n\tvar o = [];\n\tblob.l += 4; // must be 0x8\n\tvar cnt = blob.read_shift(4);\n\twhile(cnt-- > 0) o.push(blob.read_shift(0, 'lpp4'));\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.1.8 DataSpaceDefinition */\nfunction parse_TransformInfoHeader(blob) {\n\tvar o = {};\n\t/*var len = */blob.read_shift(4);\n\tblob.l += 4; // must be 0x1\n\to.id = blob.read_shift(0, 'lpp4');\n\to.name = blob.read_shift(0, 'lpp4');\n\to.R = parse_CRYPTOVersion(blob, 4);\n\to.U = parse_CRYPTOVersion(blob, 4);\n\to.W = parse_CRYPTOVersion(blob, 4);\n\treturn o;\n}\n\nfunction parse_Primary(blob) {\n\t/* [MS-OFFCRYPTO] 2.2.6 IRMDSTransformInfo */\n\tvar hdr = parse_TransformInfoHeader(blob);\n\t/* [MS-OFFCRYPTO] 2.1.9 EncryptionTransformInfo */\n\thdr.ename = blob.read_shift(0, '8lpp4');\n\thdr.blksz = blob.read_shift(4);\n\thdr.cmode = blob.read_shift(4);\n\tif(blob.read_shift(4) != 0x04) throw new Error(\"Bad !Primary record\");\n\treturn hdr;\n}\n\n/* [MS-OFFCRYPTO] 2.3.2 Encryption Header */\nfunction parse_EncryptionHeader(blob, length) {\n\tvar tgt = blob.l + length;\n\tvar o = {};\n\to.Flags = (blob.read_shift(4) & 0x3F);\n\tblob.l += 4;\n\to.AlgID = blob.read_shift(4);\n\tvar valid = false;\n\tswitch(o.AlgID) {\n\t\tcase 0x660E: case 0x660F: case 0x6610: valid = (o.Flags == 0x24); break;\n\t\tcase 0x6801: valid = (o.Flags == 0x04); break;\n\t\tcase 0: valid = (o.Flags == 0x10 || o.Flags == 0x04 || o.Flags == 0x24); break;\n\t\tdefault: throw 'Unrecognized encryption algorithm: ' + o.AlgID;\n\t}\n\tif(!valid) throw new Error(\"Encryption Flags/AlgID mismatch\");\n\to.AlgIDHash = blob.read_shift(4);\n\to.KeySize = blob.read_shift(4);\n\to.ProviderType = blob.read_shift(4);\n\tblob.l += 8;\n\to.CSPName = blob.read_shift((tgt-blob.l)>>1, 'utf16le');\n\tblob.l = tgt;\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.3.3 Encryption Verifier */\nfunction parse_EncryptionVerifier(blob, length) {\n\tvar o = {}, tgt = blob.l + length;\n\tblob.l += 4; // SaltSize must be 0x10\n\to.Salt = blob.slice(blob.l, blob.l+16); blob.l += 16;\n\to.Verifier = blob.slice(blob.l, blob.l+16); blob.l += 16;\n\t/*var sz = */blob.read_shift(4);\n\to.VerifierHash = blob.slice(blob.l, tgt); blob.l = tgt;\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.3.4.* EncryptionInfo Stream */\nfunction parse_EncryptionInfo(blob) {\n\tvar vers = parse_CRYPTOVersion(blob);\n\tswitch(vers.Minor) {\n\t\tcase 0x02: return [vers.Minor, parse_EncInfoStd(blob, vers)];\n\t\tcase 0x03: return [vers.Minor, parse_EncInfoExt(blob, vers)];\n\t\tcase 0x04: return [vers.Minor, parse_EncInfoAgl(blob, vers)];\n\t}\n\tthrow new Error(\"ECMA-376 Encrypted file unrecognized Version: \" + vers.Minor);\n}\n\n/* [MS-OFFCRYPTO] 2.3.4.5 EncryptionInfo Stream (Standard Encryption) */\nfunction parse_EncInfoStd(blob) {\n\tvar flags = blob.read_shift(4);\n\tif((flags & 0x3F) != 0x24) throw new Error(\"EncryptionInfo mismatch\");\n\tvar sz = blob.read_shift(4);\n\t//var tgt = blob.l + sz;\n\tvar hdr = parse_EncryptionHeader(blob, sz);\n\tvar verifier = parse_EncryptionVerifier(blob, blob.length - blob.l);\n\treturn { t:\"Std\", h:hdr, v:verifier };\n}\n/* [MS-OFFCRYPTO] 2.3.4.6 EncryptionInfo Stream (Extensible Encryption) */\nfunction parse_EncInfoExt() { throw new Error(\"File is password-protected: ECMA-376 Extensible\"); }\n/* [MS-OFFCRYPTO] 2.3.4.10 EncryptionInfo Stream (Agile Encryption) */\nfunction parse_EncInfoAgl(blob) {\n\tvar KeyData = [\"saltSize\",\"blockSize\",\"keyBits\",\"hashSize\",\"cipherAlgorithm\",\"cipherChaining\",\"hashAlgorithm\",\"saltValue\"];\n\tblob.l+=4;\n\tvar xml = blob.read_shift(blob.length - blob.l, 'utf8');\n\tvar o = {};\n\txml.replace(tagregex, function xml_agile(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': break;\n\t\t\tcase '': case '': break;\n\n\t\t\tcase '': break;\n\t\t\tcase ' 4 || vers.Major < 2) throw new Error('unrecognized major version code: ' + vers.Major);\n\to.Flags = blob.read_shift(4); length -= 4;\n\tvar sz = blob.read_shift(4); length -= 4;\n\to.EncryptionHeader = parse_EncryptionHeader(blob, sz); length -= sz;\n\to.EncryptionVerifier = parse_EncryptionVerifier(blob, length);\n\treturn o;\n}\n/* [MS-OFFCRYPTO] 2.3.6.1 RC4 Encryption Header */\nfunction parse_RC4Header(blob) {\n\tvar o = {};\n\tvar vers = o.EncryptionVersionInfo = parse_CRYPTOVersion(blob, 4);\n\tif(vers.Major != 1 || vers.Minor != 1) throw 'unrecognized version code ' + vers.Major + ' : ' + vers.Minor;\n\to.Salt = blob.read_shift(16);\n\to.EncryptedVerifier = blob.read_shift(16);\n\to.EncryptedVerifierHash = blob.read_shift(16);\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.3.7.1 Binary Document Password Verifier Derivation */\nfunction crypto_CreatePasswordVerifier_Method1(Password) {\n\tvar Verifier = 0x0000, PasswordArray;\n\tvar PasswordDecoded = _JS2ANSI(Password);\n\tvar len = PasswordDecoded.length + 1, i, PasswordByte;\n\tvar Intermediate1, Intermediate2, Intermediate3;\n\tPasswordArray = new_raw_buf(len);\n\tPasswordArray[0] = PasswordDecoded.length;\n\tfor(i = 1; i != len; ++i) PasswordArray[i] = PasswordDecoded[i-1];\n\tfor(i = len-1; i >= 0; --i) {\n\t\tPasswordByte = PasswordArray[i];\n\t\tIntermediate1 = ((Verifier & 0x4000) === 0x0000) ? 0 : 1;\n\t\tIntermediate2 = (Verifier << 1) & 0x7FFF;\n\t\tIntermediate3 = Intermediate1 | Intermediate2;\n\t\tVerifier = Intermediate3 ^ PasswordByte;\n\t}\n\treturn Verifier ^ 0xCE4B;\n}\n\n/* [MS-OFFCRYPTO] 2.3.7.2 Binary Document XOR Array Initialization */\nvar crypto_CreateXorArray_Method1 = (function() {\n\tvar PadArray = [0xBB, 0xFF, 0xFF, 0xBA, 0xFF, 0xFF, 0xB9, 0x80, 0x00, 0xBE, 0x0F, 0x00, 0xBF, 0x0F, 0x00];\n\tvar InitialCode = [0xE1F0, 0x1D0F, 0xCC9C, 0x84C0, 0x110C, 0x0E10, 0xF1CE, 0x313E, 0x1872, 0xE139, 0xD40F, 0x84F9, 0x280C, 0xA96A, 0x4EC3];\n\tvar XorMatrix = [0xAEFC, 0x4DD9, 0x9BB2, 0x2745, 0x4E8A, 0x9D14, 0x2A09, 0x7B61, 0xF6C2, 0xFDA5, 0xEB6B, 0xC6F7, 0x9DCF, 0x2BBF, 0x4563, 0x8AC6, 0x05AD, 0x0B5A, 0x16B4, 0x2D68, 0x5AD0, 0x0375, 0x06EA, 0x0DD4, 0x1BA8, 0x3750, 0x6EA0, 0xDD40, 0xD849, 0xA0B3, 0x5147, 0xA28E, 0x553D, 0xAA7A, 0x44D5, 0x6F45, 0xDE8A, 0xAD35, 0x4A4B, 0x9496, 0x390D, 0x721A, 0xEB23, 0xC667, 0x9CEF, 0x29FF, 0x53FE, 0xA7FC, 0x5FD9, 0x47D3, 0x8FA6, 0x0F6D, 0x1EDA, 0x3DB4, 0x7B68, 0xF6D0, 0xB861, 0x60E3, 0xC1C6, 0x93AD, 0x377B, 0x6EF6, 0xDDEC, 0x45A0, 0x8B40, 0x06A1, 0x0D42, 0x1A84, 0x3508, 0x6A10, 0xAA51, 0x4483, 0x8906, 0x022D, 0x045A, 0x08B4, 0x1168, 0x76B4, 0xED68, 0xCAF1, 0x85C3, 0x1BA7, 0x374E, 0x6E9C, 0x3730, 0x6E60, 0xDCC0, 0xA9A1, 0x4363, 0x86C6, 0x1DAD, 0x3331, 0x6662, 0xCCC4, 0x89A9, 0x0373, 0x06E6, 0x0DCC, 0x1021, 0x2042, 0x4084, 0x8108, 0x1231, 0x2462, 0x48C4];\n\tvar Ror = function(Byte) { return ((Byte/2) | (Byte*128)) & 0xFF; };\n\tvar XorRor = function(byte1, byte2) { return Ror(byte1 ^ byte2); };\n\tvar CreateXorKey_Method1 = function(Password) {\n\t\tvar XorKey = InitialCode[Password.length - 1];\n\t\tvar CurrentElement = 0x68;\n\t\tfor(var i = Password.length-1; i >= 0; --i) {\n\t\t\tvar Char = Password[i];\n\t\t\tfor(var j = 0; j != 7; ++j) {\n\t\t\t\tif(Char & 0x40) XorKey ^= XorMatrix[CurrentElement];\n\t\t\t\tChar *= 2; --CurrentElement;\n\t\t\t}\n\t\t}\n\t\treturn XorKey;\n\t};\n\treturn function(password) {\n\t\tvar Password = _JS2ANSI(password);\n\t\tvar XorKey = CreateXorKey_Method1(Password);\n\t\tvar Index = Password.length;\n\t\tvar ObfuscationArray = new_raw_buf(16);\n\t\tfor(var i = 0; i != 16; ++i) ObfuscationArray[i] = 0x00;\n\t\tvar Temp, PasswordLastChar, PadIndex;\n\t\tif((Index & 1) === 1) {\n\t\t\tTemp = XorKey >> 8;\n\t\t\tObfuscationArray[Index] = XorRor(PadArray[0], Temp);\n\t\t\t--Index;\n\t\t\tTemp = XorKey & 0xFF;\n\t\t\tPasswordLastChar = Password[Password.length - 1];\n\t\t\tObfuscationArray[Index] = XorRor(PasswordLastChar, Temp);\n\t\t}\n\t\twhile(Index > 0) {\n\t\t\t--Index;\n\t\t\tTemp = XorKey >> 8;\n\t\t\tObfuscationArray[Index] = XorRor(Password[Index], Temp);\n\t\t\t--Index;\n\t\t\tTemp = XorKey & 0xFF;\n\t\t\tObfuscationArray[Index] = XorRor(Password[Index], Temp);\n\t\t}\n\t\tIndex = 15;\n\t\tPadIndex = 15 - Password.length;\n\t\twhile(PadIndex > 0) {\n\t\t\tTemp = XorKey >> 8;\n\t\t\tObfuscationArray[Index] = XorRor(PadArray[PadIndex], Temp);\n\t\t\t--Index;\n\t\t\t--PadIndex;\n\t\t\tTemp = XorKey & 0xFF;\n\t\t\tObfuscationArray[Index] = XorRor(Password[Index], Temp);\n\t\t\t--Index;\n\t\t\t--PadIndex;\n\t\t}\n\t\treturn ObfuscationArray;\n\t};\n})();\n\n/* [MS-OFFCRYPTO] 2.3.7.3 Binary Document XOR Data Transformation Method 1 */\nvar crypto_DecryptData_Method1 = function(password, Data, XorArrayIndex, XorArray, O) {\n\t/* If XorArray is set, use it; if O is not set, make changes in-place */\n\tif(!O) O = Data;\n\tif(!XorArray) XorArray = crypto_CreateXorArray_Method1(password);\n\tvar Index, Value;\n\tfor(Index = 0; Index != Data.length; ++Index) {\n\t\tValue = Data[Index];\n\t\tValue ^= XorArray[XorArrayIndex];\n\t\tValue = ((Value>>5) | (Value<<3)) & 0xFF;\n\t\tO[Index] = Value;\n\t\t++XorArrayIndex;\n\t}\n\treturn [O, XorArrayIndex, XorArray];\n};\n\nvar crypto_MakeXorDecryptor = function(password) {\n\tvar XorArrayIndex = 0, XorArray = crypto_CreateXorArray_Method1(password);\n\treturn function(Data) {\n\t\tvar O = crypto_DecryptData_Method1(\"\", Data, XorArrayIndex, XorArray);\n\t\tXorArrayIndex = O[1];\n\t\treturn O[0];\n\t};\n};\n\n/* 2.5.343 */\nfunction parse_XORObfuscation(blob, length, opts, out) {\n\tvar o = ({ key: parseuint16(blob), verificationBytes: parseuint16(blob) });\n\tif(opts.password) o.verifier = crypto_CreatePasswordVerifier_Method1(opts.password);\n\tout.valid = o.verificationBytes === o.verifier;\n\tif(out.valid) out.insitu = crypto_MakeXorDecryptor(opts.password);\n\treturn o;\n}\n\n/* 2.4.117 */\nfunction parse_FilePassHeader(blob, length, oo) {\n\tvar o = oo || {}; o.Info = blob.read_shift(2); blob.l -= 2;\n\tif(o.Info === 1) o.Data = parse_RC4Header(blob, length);\n\telse o.Data = parse_RC4CryptoHeader(blob, length);\n\treturn o;\n}\nfunction parse_FilePass(blob, length, opts) {\n\tvar o = ({ Type: opts.biff >= 8 ? blob.read_shift(2) : 0 }); /* wEncryptionType */\n\tif(o.Type) parse_FilePassHeader(blob, length-2, o);\n\telse parse_XORObfuscation(blob, opts.biff >= 8 ? length : length - 2, opts, o);\n\treturn o;\n}\n\n\nvar RTF = (function() {\n\tfunction rtf_to_sheet(d, opts) {\n\t\tswitch(opts.type) {\n\t\t\tcase 'base64': return rtf_to_sheet_str(Base64.decode(d), opts);\n\t\t\tcase 'binary': return rtf_to_sheet_str(d, opts);\n\t\t\tcase 'buffer': return rtf_to_sheet_str(d.toString('binary'), opts);\n\t\t\tcase 'array': return rtf_to_sheet_str(cc2str(d), opts);\n\t\t}\n\t\tthrow new Error(\"Unrecognized type \" + opts.type);\n\t}\n\n\tfunction rtf_to_sheet_str(str, opts) {\n\t\tvar o = opts || {};\n\t\tvar ws = o.dense ? ([]) : ({});\n\t\tvar range = ({s: {c:0, r:0}, e: {c:0, r:0}});\n\n\t\t// TODO: parse\n\t\tif(!str.match(/\\\\trowd/)) throw new Error(\"RTF missing table\");\n\n\t\tws['!ref'] = encode_range(range);\n\t\treturn ws;\n\t}\n\n\tfunction rtf_to_workbook(d, opts) { return sheet_to_workbook(rtf_to_sheet(d, opts), opts); }\n\n\t/* TODO: this is a stub */\n\tfunction sheet_to_rtf(ws) {\n\t\tvar o = [\"{\\\\rtf1\\\\ansi\"];\n\t\tvar r = safe_decode_range(ws['!ref']), cell;\n\t\tvar dense = Array.isArray(ws);\n\t\tfor(var R = r.s.r; R <= r.e.r; ++R) {\n\t\t\to.push(\"\\\\trowd\\\\trautofit1\");\n\t\t\tfor(var C = r.s.c; C <= r.e.c; ++C) o.push(\"\\\\cellx\" + (C+1));\n\t\t\to.push(\"\\\\pard\\\\intbl\");\n\t\t\tfor(C = r.s.c; C <= r.e.c; ++C) {\n\t\t\t\tvar coord = encode_cell({r:R,c:C});\n\t\t\t\tcell = dense ? (ws[R]||[])[C]: ws[coord];\n\t\t\t\tif(!cell || cell.v == null && (!cell.f || cell.F)) continue;\n\t\t\t\to.push(\" \" + (cell.w || (format_cell(cell), cell.w)));\n\t\t\t\to.push(\"\\\\cell\");\n\t\t\t}\n\t\t\to.push(\"\\\\pard\\\\intbl\\\\row\");\n\t\t}\n\t\treturn o.join(\"\") + \"}\";\n\t}\n\n\treturn {\n\t\tto_workbook: rtf_to_workbook,\n\t\tto_sheet: rtf_to_sheet,\n\t\tfrom_sheet: sheet_to_rtf\n\t};\n})();\nfunction hex2RGB(h) {\n\tvar o = h.slice(h[0]===\"#\"?1:0).slice(0,6);\n\treturn [parseInt(o.slice(0,2),16),parseInt(o.slice(2,4),16),parseInt(o.slice(4,6),16)];\n}\nfunction rgb2Hex(rgb) {\n\tfor(var i=0,o=1; i!=3; ++i) o = o*256 + (rgb[i]>255?255:rgb[i]<0?0:rgb[i]);\n\treturn o.toString(16).toUpperCase().slice(1);\n}\n\nfunction rgb2HSL(rgb) {\n\tvar R = rgb[0]/255, G = rgb[1]/255, B=rgb[2]/255;\n\tvar M = Math.max(R, G, B), m = Math.min(R, G, B), C = M - m;\n\tif(C === 0) return [0, 0, R];\n\n\tvar H6 = 0, S = 0, L2 = (M + m);\n\tS = C / (L2 > 1 ? 2 - L2 : L2);\n\tswitch(M){\n\t\tcase R: H6 = ((G - B) / C + 6)%6; break;\n\t\tcase G: H6 = ((B - R) / C + 2); break;\n\t\tcase B: H6 = ((R - G) / C + 4); break;\n\t}\n\treturn [H6 / 6, S, L2 / 2];\n}\n\nfunction hsl2RGB(hsl){\n\tvar H = hsl[0], S = hsl[1], L = hsl[2];\n\tvar C = S * 2 * (L < 0.5 ? L : 1 - L), m = L - C/2;\n\tvar rgb = [m,m,m], h6 = 6*H;\n\n\tvar X;\n\tif(S !== 0) switch(h6|0) {\n\t\tcase 0: case 6: X = C * h6; rgb[0] += C; rgb[1] += X; break;\n\t\tcase 1: X = C * (2 - h6); rgb[0] += X; rgb[1] += C; break;\n\t\tcase 2: X = C * (h6 - 2); rgb[1] += C; rgb[2] += X; break;\n\t\tcase 3: X = C * (4 - h6); rgb[1] += X; rgb[2] += C; break;\n\t\tcase 4: X = C * (h6 - 4); rgb[2] += C; rgb[0] += X; break;\n\t\tcase 5: X = C * (6 - h6); rgb[2] += X; rgb[0] += C; break;\n\t}\n\tfor(var i = 0; i != 3; ++i) rgb[i] = Math.round(rgb[i]*255);\n\treturn rgb;\n}\n\n/* 18.8.3 bgColor tint algorithm */\nfunction rgb_tint(hex, tint) {\n\tif(tint === 0) return hex;\n\tvar hsl = rgb2HSL(hex2RGB(hex));\n\tif (tint < 0) hsl[2] = hsl[2] * (1 + tint);\n\telse hsl[2] = 1 - (1 - hsl[2]) * (1 - tint);\n\treturn rgb2Hex(hsl2RGB(hsl));\n}\n\n/* 18.3.1.13 width calculations */\n/* [MS-OI29500] 2.1.595 Column Width & Formatting */\nvar DEF_MDW = 6, MAX_MDW = 15, MIN_MDW = 1, MDW = DEF_MDW;\nfunction width2px(width) { return Math.floor(( width + (Math.round(128/MDW))/256 )* MDW ); }\nfunction px2char(px) { return (Math.floor((px - 5)/MDW * 100 + 0.5))/100; }\nfunction char2width(chr) { return (Math.round((chr * MDW + 5)/MDW*256))/256; }\n//function px2char_(px) { return (((px - 5)/MDW * 100 + 0.5))/100; }\n//function char2width_(chr) { return (((chr * MDW + 5)/MDW*256))/256; }\nfunction cycle_width(collw) { return char2width(px2char(width2px(collw))); }\n/* XLSX/XLSB/XLS specify width in units of MDW */\nfunction find_mdw_colw(collw) {\n\tvar delta = Math.abs(collw - cycle_width(collw)), _MDW = MDW;\n\tif(delta > 0.005) for(MDW=MIN_MDW; MDW 0.5) guess--;\n\t\tif(Math.abs(guess) < delta) { delta = Math.abs(guess); _MDW = MDW; }\n\t}\n\tMDW = _MDW;\n}*/\n\nfunction process_col(coll) {\n\tif(coll.width) {\n\t\tcoll.wpx = width2px(coll.width);\n\t\tcoll.wch = px2char(coll.wpx);\n\t\tcoll.MDW = MDW;\n\t} else if(coll.wpx) {\n\t\tcoll.wch = px2char(coll.wpx);\n\t\tcoll.width = char2width(coll.wch);\n\t\tcoll.MDW = MDW;\n\t} else if(typeof coll.wch == 'number') {\n\t\tcoll.width = char2width(coll.wch);\n\t\tcoll.wpx = width2px(coll.width);\n\t\tcoll.MDW = MDW;\n\t}\n\tif(coll.customWidth) delete coll.customWidth;\n}\n\nvar DEF_PPI = 96, PPI = DEF_PPI;\nfunction px2pt(px) { return px * 96 / PPI; }\nfunction pt2px(pt) { return pt * PPI / 96; }\n\n/* [MS-EXSPXML3] 2.4.54 ST_enmPattern */\nvar XLMLPatternTypeMap = {\n\t\"None\": \"none\",\n\t\"Solid\": \"solid\",\n\t\"Gray50\": \"mediumGray\",\n\t\"Gray75\": \"darkGray\",\n\t\"Gray25\": \"lightGray\",\n\t\"HorzStripe\": \"darkHorizontal\",\n\t\"VertStripe\": \"darkVertical\",\n\t\"ReverseDiagStripe\": \"darkDown\",\n\t\"DiagStripe\": \"darkUp\",\n\t\"DiagCross\": \"darkGrid\",\n\t\"ThickDiagCross\": \"darkTrellis\",\n\t\"ThinHorzStripe\": \"lightHorizontal\",\n\t\"ThinVertStripe\": \"lightVertical\",\n\t\"ThinReverseDiagStripe\": \"lightDown\",\n\t\"ThinHorzCross\": \"lightGrid\"\n};\n\n/* 18.8.5 borders CT_Borders */\nfunction parse_borders(t, styles, themes, opts) {\n\tstyles.Borders = [];\n\tvar border = {};\n\tvar pass = false;\n\t(t[0].match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.4 border CT_Border */\n\t\t\tcase '': case '':\n\t\t\t\tborder = {};\n\t\t\t\tif(y.diagonalUp) border.diagonalUp = parsexmlbool(y.diagonalUp);\n\t\t\t\tif(y.diagonalDown) border.diagonalDown = parsexmlbool(y.diagonalDown);\n\t\t\t\tstyles.Borders.push(border);\n\t\t\t\tbreak;\n\t\t\tcase '': break;\n\n\t\t\t/* note: not in spec, appears to be CT_BorderPr */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* note: not in spec, appears to be CT_BorderPr */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.43 top CT_BorderPr */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.6 bottom CT_BorderPr */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.13 diagonal CT_BorderPr */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.25 horizontal CT_BorderPr */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.44 vertical CT_BorderPr */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.37 start CT_BorderPr */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.16 end CT_BorderPr */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.? color CT_Color */\n\t\t\tcase '':\n\t\t\t\tbreak;\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.2.10 extLst CT_ExtensionList ? */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': pass = false; break;\n\t\t\tdefault: if(opts && opts.WTF) {\n\t\t\t\tif(!pass) throw new Error('unrecognized ' + y[0] + ' in borders');\n\t\t\t}\n\t\t}\n\t});\n}\n\n/* 18.8.21 fills CT_Fills */\nfunction parse_fills(t, styles, themes, opts) {\n\tstyles.Fills = [];\n\tvar fill = {};\n\tvar pass = false;\n\t(t[0].match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.20 fill CT_Fill */\n\t\t\tcase '': case '':\n\t\t\t\tfill = {}; styles.Fills.push(fill); break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.24 gradientFill CT_GradientFill */\n\t\t\tcase '': break;\n\t\t\tcase '': styles.Fills.push(fill); fill = {}; break;\n\n\t\t\t/* 18.8.32 patternFill CT_PatternFill */\n\t\t\tcase '':\n\t\t\t\tif(y.patternType) fill.patternType = y.patternType;\n\t\t\t\tbreak;\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.3 bgColor CT_Color */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.19 fgColor CT_Color */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.38 stop CT_GradientStop */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.? color CT_Color */\n\t\t\tcase '': break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.10 extLst CT_ExtensionList ? */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': pass = false; break;\n\t\t\tdefault: if(opts && opts.WTF) {\n\t\t\t\tif(!pass) throw new Error('unrecognized ' + y[0] + ' in fills');\n\t\t\t}\n\t\t}\n\t});\n}\n\n/* 18.8.23 fonts CT_Fonts */\nfunction parse_fonts(t, styles, themes, opts) {\n\tstyles.Fonts = [];\n\tvar font = {};\n\tvar pass = false;\n\t(t[0].match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.22 font CT_Font */\n\t\t\tcase '': break;\n\t\t\tcase '': case '':\n\t\t\t\tstyles.Fonts.push(font);\n\t\t\t\tfont = {};\n\t\t\t\tbreak;\n\n\t\t\t/* 18.8.29 name CT_FontName */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.2 b CT_BooleanProperty */\n\t\t\tcase '': font.bold = 1; break;\n\n\t\t\t/* 18.8.26 i CT_BooleanProperty */\n\t\t\tcase '': font.italic = 1; break;\n\n\t\t\t/* 18.4.13 u CT_UnderlineProperty */\n\t\t\tcase '': font.underline = 1; break;\n\n\t\t\t/* 18.4.10 strike CT_BooleanProperty */\n\t\t\tcase '': font.strike = 1; break;\n\n\t\t\t/* 18.4.2 outline CT_BooleanProperty */\n\t\t\tcase '': font.outline = 1; break;\n\n\t\t\t/* 18.8.36 shadow CT_BooleanProperty */\n\t\t\tcase '': font.shadow = 1; break;\n\n\t\t\t/* 18.8.12 condense CT_BooleanProperty */\n\t\t\tcase '': font.condense = 1; break;\n\n\t\t\t/* 18.8.17 extend CT_BooleanProperty */\n\t\t\tcase '': font.extend = 1; break;\n\n\t\t\t/* 18.4.11 sz CT_FontSize */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.4.14 vertAlign CT_VerticalAlignFontProperty */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.18 family CT_FontFamily */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.8.35 scheme CT_FontScheme */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.4.1 charset CT_IntProperty */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* note: sometimes mc:AlternateContent appears bare */\n\t\t\tcase '': pass = false; break;\n\n\t\t\t/* 18.2.10 extLst CT_ExtensionList ? */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': pass = false; break;\n\t\t\tdefault: if(opts && opts.WTF) {\n\t\t\t\tif(!pass) throw new Error('unrecognized ' + y[0] + ' in fonts');\n\t\t\t}\n\t\t}\n\t});\n}\n\n/* 18.8.31 numFmts CT_NumFmts */\nfunction parse_numFmts(t, styles, opts) {\n\tstyles.NumberFmt = [];\n\tvar k/*Array*/ = (keys(SSF._table));\n\tfor(var i=0; i < k.length; ++i) styles.NumberFmt[k[i]] = SSF._table[k[i]];\n\tvar m = t[0].match(tagregex);\n\tif(!m) return;\n\tfor(i=0; i < m.length; ++i) {\n\t\tvar y = parsexmltag(m[i]);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': case '': case '': break;\n\t\t\tcase '0) {\n\t\t\t\t\tif(j > 0x188) {\n\t\t\t\t\t\tfor(j = 0x188; j > 0x3c; --j) if(styles.NumberFmt[j] == null) break;\n\t\t\t\t\t\tstyles.NumberFmt[j] = f;\n\t\t\t\t\t}\n\t\t\t\t\tSSF.load(f,j);\n\t\t\t\t}\n\t\t\t} break;\n\t\t\tcase '': break;\n\t\t\tdefault: if(opts.WTF) throw new Error('unrecognized ' + y[0] + ' in numFmts');\n\t\t}\n\t}\n}\n\nfunction write_numFmts(NF) {\n\tvar o = [\"\"];\n\t[[5,8],[23,26],[41,44],[/*63*/50,/*66],[164,*/392]].forEach(function(r) {\n\t\tfor(var i = r[0]; i <= r[1]; ++i) if(NF[i] != null) o[o.length] = (writextag('numFmt',null,{numFmtId:i,formatCode:escapexml(NF[i])}));\n\t});\n\tif(o.length === 1) return \"\";\n\to[o.length] = (\"\");\n\to[0] = writextag('numFmts', null, { count:o.length-2 }).replace(\"/>\", \">\");\n\treturn o.join(\"\");\n}\n\n/* 18.8.10 cellXfs CT_CellXfs */\nvar cellXF_uint = [ \"numFmtId\", \"fillId\", \"fontId\", \"borderId\", \"xfId\" ];\nvar cellXF_bool = [ \"applyAlignment\", \"applyBorder\", \"applyFill\", \"applyFont\", \"applyNumberFormat\", \"applyProtection\", \"pivotButton\", \"quotePrefix\" ];\nfunction parse_cellXfs(t, styles, opts) {\n\tstyles.CellXf = [];\n\tvar xf;\n\tvar pass = false;\n\t(t[0].match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x), i = 0;\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': case '': case '': break;\n\n\t\t\t/* 18.8.45 xf CT_Xf */\n\t\t\tcase '':\n\t\t\t\txf = y;\n\t\t\t\tdelete xf[0];\n\t\t\t\tfor(i = 0; i < cellXF_uint.length; ++i) if(xf[cellXF_uint[i]])\n\t\t\t\t\txf[cellXF_uint[i]] = parseInt(xf[cellXF_uint[i]], 10);\n\t\t\t\tfor(i = 0; i < cellXF_bool.length; ++i) if(xf[cellXF_bool[i]])\n\t\t\t\t\txf[cellXF_bool[i]] = parsexmlbool(xf[cellXF_bool[i]]);\n\t\t\t\tif(xf.numFmtId > 0x188) {\n\t\t\t\t\tfor(i = 0x188; i > 0x3c; --i) if(styles.NumberFmt[xf.numFmtId] == styles.NumberFmt[i]) { xf.numFmtId = i; break; }\n\t\t\t\t}\n\t\t\t\tstyles.CellXf.push(xf); break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.1 alignment CT_CellAlignment */\n\t\t\tcase '':\n\t\t\t\tvar alignment = {};\n\t\t\t\tif(y.vertical) alignment.vertical = y.vertical;\n\t\t\t\tif(y.horizontal) alignment.horizontal = y.horizontal;\n\t\t\t\tif(y.textRotation != null) alignment.textRotation = y.textRotation;\n\t\t\t\tif(y.indent) alignment.indent = y.indent;\n\t\t\t\tif(y.wrapText) alignment.wrapText = parsexmlbool(y.wrapText);\n\t\t\t\txf.alignment = alignment;\n\t\t\t\tbreak;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.8.33 protection CT_CellProtection */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* note: sometimes mc:AlternateContent appears bare */\n\t\t\tcase '': pass = false; break;\n\n\t\t\t/* 18.2.10 extLst CT_ExtensionList ? */\n\t\t\tcase '': case '': break;\n\t\t\tcase '': pass = false; break;\n\t\t\tdefault: if(opts && opts.WTF) {\n\t\t\t\tif(!pass) throw new Error('unrecognized ' + y[0] + ' in cellXfs');\n\t\t\t}\n\t\t}\n\t});\n}\n\nfunction write_cellXfs(cellXfs) {\n\tvar o = [];\n\to[o.length] = (writextag('cellXfs',null));\n\tcellXfs.forEach(function(c) {\n\t\to[o.length] = (writextag('xf', null, c));\n\t});\n\to[o.length] = (\"\");\n\tif(o.length === 2) return \"\";\n\to[0] = writextag('cellXfs',null, {count:o.length-2}).replace(\"/>\",\">\");\n\treturn o.join(\"\");\n}\n\n/* 18.8 Styles CT_Stylesheet*/\nvar parse_sty_xml= (function make_pstyx() {\nvar numFmtRegex = /<(?:\\w+:)?numFmts([^>]*)>[\\S\\s]*?<\\/(?:\\w+:)?numFmts>/;\nvar cellXfRegex = /<(?:\\w+:)?cellXfs([^>]*)>[\\S\\s]*?<\\/(?:\\w+:)?cellXfs>/;\nvar fillsRegex = /<(?:\\w+:)?fills([^>]*)>[\\S\\s]*?<\\/(?:\\w+:)?fills>/;\nvar fontsRegex = /<(?:\\w+:)?fonts([^>]*)>[\\S\\s]*?<\\/(?:\\w+:)?fonts>/;\nvar bordersRegex = /<(?:\\w+:)?borders([^>]*)>[\\S\\s]*?<\\/(?:\\w+:)?borders>/;\n\nreturn function parse_sty_xml(data, themes, opts) {\n\tvar styles = {};\n\tif(!data) return styles;\n\tdata = data.replace(//mg,\"\").replace(//gm,\"\");\n\t/* 18.8.39 styleSheet CT_Stylesheet */\n\tvar t;\n\n\t/* 18.8.31 numFmts CT_NumFmts ? */\n\tif((t=data.match(numFmtRegex))) parse_numFmts(t, styles, opts);\n\n\t/* 18.8.23 fonts CT_Fonts ? */\n\tif((t=data.match(fontsRegex))) parse_fonts(t, styles, themes, opts);\n\n\t/* 18.8.21 fills CT_Fills ? */\n\tif((t=data.match(fillsRegex))) parse_fills(t, styles, themes, opts);\n\n\t/* 18.8.5 borders CT_Borders ? */\n\tif((t=data.match(bordersRegex))) parse_borders(t, styles, themes, opts);\n\n\t/* 18.8.9 cellStyleXfs CT_CellStyleXfs ? */\n\t/* 18.8.8 cellStyles CT_CellStyles ? */\n\n\t/* 18.8.10 cellXfs CT_CellXfs ? */\n\tif((t=data.match(cellXfRegex))) parse_cellXfs(t, styles, opts);\n\n\t/* 18.8.15 dxfs CT_Dxfs ? */\n\t/* 18.8.42 tableStyles CT_TableStyles ? */\n\t/* 18.8.11 colors CT_Colors ? */\n\t/* 18.2.10 extLst CT_ExtensionList ? */\n\n\treturn styles;\n};\n})();\n\nvar STYLES_XML_ROOT = writextag('styleSheet', null, {\n\t'xmlns': XMLNS.main[0],\n\t'xmlns:vt': XMLNS.vt\n});\n\nRELS.STY = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/styles\";\n\nfunction write_sty_xml(wb, opts) {\n\tvar o = [XML_HEADER, STYLES_XML_ROOT], w;\n\tif(wb.SSF && (w = write_numFmts(wb.SSF)) != null) o[o.length] = w;\n\to[o.length] = ('');\n\to[o.length] = ('');\n\to[o.length] = ('');\n\to[o.length] = ('');\n\tif((w = write_cellXfs(opts.cellXfs))) o[o.length] = (w);\n\to[o.length] = ('');\n\to[o.length] = ('');\n\to[o.length] = ('');\n\n\tif(o.length>2){ o[o.length] = (''); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.657 BrtFmt */\nfunction parse_BrtFmt(data, length) {\n\tvar numFmtId = data.read_shift(2);\n\tvar stFmtCode = parse_XLWideString(data,length-2);\n\treturn [numFmtId, stFmtCode];\n}\nfunction write_BrtFmt(i, f, o) {\n\tif(!o) o = new_buf(6 + 4 * f.length);\n\to.write_shift(2, i);\n\twrite_XLWideString(f, o);\n\tvar out = (o.length > o.l) ? o.slice(0, o.l) : o;\n\tif(o.l == null) o.l = o.length;\n\treturn out;\n}\n\n/* [MS-XLSB] 2.4.659 BrtFont TODO */\nfunction parse_BrtFont(data, length, opts) {\n\tvar out = ({});\n\n\tout.sz = data.read_shift(2) / 20;\n\n\tvar grbit = parse_FontFlags(data, 2, opts);\n\tif(grbit.fItalic) out.italic = 1;\n\tif(grbit.fCondense) out.condense = 1;\n\tif(grbit.fExtend) out.extend = 1;\n\tif(grbit.fShadow) out.shadow = 1;\n\tif(grbit.fOutline) out.outline = 1;\n\tif(grbit.fStrikeout) out.strike = 1;\n\n\tvar bls = data.read_shift(2);\n\tif(bls === 0x02BC) out.bold = 1;\n\n\tswitch(data.read_shift(2)) {\n\t\t/* case 0: out.vertAlign = \"baseline\"; break; */\n\t\tcase 1: out.vertAlign = \"superscript\"; break;\n\t\tcase 2: out.vertAlign = \"subscript\"; break;\n\t}\n\n\tvar underline = data.read_shift(1);\n\tif(underline != 0) out.underline = underline;\n\n\tvar family = data.read_shift(1);\n\tif(family > 0) out.family = family;\n\n\tvar bCharSet = data.read_shift(1);\n\tif(bCharSet > 0) out.charset = bCharSet;\n\n\tdata.l++;\n\tout.color = parse_BrtColor(data, 8);\n\n\tswitch(data.read_shift(1)) {\n\t\t/* case 0: out.scheme = \"none\": break; */\n\t\tcase 1: out.scheme = \"major\"; break;\n\t\tcase 2: out.scheme = \"minor\"; break;\n\t}\n\n\tout.name = parse_XLWideString(data, length - 21);\n\n\treturn out;\n}\nfunction write_BrtFont(font, o) {\n\tif(!o) o = new_buf(25+4*32);\n\to.write_shift(2, font.sz * 20);\n\twrite_FontFlags(font, o);\n\to.write_shift(2, font.bold ? 0x02BC : 0x0190);\n\tvar sss = 0;\n\tif(font.vertAlign == \"superscript\") sss = 1;\n\telse if(font.vertAlign == \"subscript\") sss = 2;\n\to.write_shift(2, sss);\n\to.write_shift(1, font.underline || 0);\n\to.write_shift(1, font.family || 0);\n\to.write_shift(1, font.charset || 0);\n\to.write_shift(1, 0);\n\twrite_BrtColor(font.color, o);\n\tvar scheme = 0;\n\tif(font.scheme == \"major\") scheme = 1;\n\tif(font.scheme == \"minor\") scheme = 2;\n\to.write_shift(1, scheme);\n\twrite_XLWideString(font.name, o);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.650 BrtFill */\nvar XLSBFillPTNames = [\n\t\"none\",\n\t\"solid\",\n\t\"mediumGray\",\n\t\"darkGray\",\n\t\"lightGray\",\n\t\"darkHorizontal\",\n\t\"darkVertical\",\n\t\"darkDown\",\n\t\"darkUp\",\n\t\"darkGrid\",\n\t\"darkTrellis\",\n\t\"lightHorizontal\",\n\t\"lightVertical\",\n\t\"lightDown\",\n\t\"lightUp\",\n\t\"lightGrid\",\n\t\"lightTrellis\",\n\t\"gray125\",\n\t\"gray0625\"\n];\nvar rev_XLSBFillPTNames = (evert(XLSBFillPTNames));\n/* TODO: gradient fill representation */\nvar parse_BrtFill = parsenoop;\nfunction write_BrtFill(fill, o) {\n\tif(!o) o = new_buf(4*3 + 8*7 + 16*1);\n\tvar fls = rev_XLSBFillPTNames[fill.patternType];\n\tif(fls == null) fls = 0x28;\n\to.write_shift(4, fls);\n\tvar j = 0;\n\tif(fls != 0x28) {\n\t\t/* TODO: custom FG Color */\n\t\twrite_BrtColor({auto:1}, o);\n\t\t/* TODO: custom BG Color */\n\t\twrite_BrtColor({auto:1}, o);\n\n\t\tfor(; j < 12; ++j) o.write_shift(4, 0);\n\t} else {\n\t\tfor(; j < 4; ++j) o.write_shift(4, 0);\n\n\t\tfor(; j < 12; ++j) o.write_shift(4, 0); /* TODO */\n\t\t/* iGradientType */\n\t\t/* xnumDegree */\n\t\t/* xnumFillToLeft */\n\t\t/* xnumFillToRight */\n\t\t/* xnumFillToTop */\n\t\t/* xnumFillToBottom */\n\t\t/* cNumStop */\n\t\t/* xfillGradientStop */\n\t}\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.824 BrtXF */\nfunction parse_BrtXF(data, length) {\n\tvar tgt = data.l + length;\n\tvar ixfeParent = data.read_shift(2);\n\tvar ifmt = data.read_shift(2);\n\tdata.l = tgt;\n\treturn {ixfe:ixfeParent, numFmtId:ifmt };\n}\nfunction write_BrtXF(data, ixfeP, o) {\n\tif(!o) o = new_buf(16);\n\to.write_shift(2, ixfeP||0);\n\to.write_shift(2, data.numFmtId||0);\n\to.write_shift(2, 0); /* iFont */\n\to.write_shift(2, 0); /* iFill */\n\to.write_shift(2, 0); /* ixBorder */\n\to.write_shift(1, 0); /* trot */\n\to.write_shift(1, 0); /* indent */\n\tvar flow = 0;\n\to.write_shift(1, flow); /* flags */\n\to.write_shift(1, 0); /* flags */\n\to.write_shift(1, 0); /* xfGrbitAtr */\n\to.write_shift(1, 0);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.5.4 Blxf TODO */\nfunction write_Blxf(data, o) {\n\tif(!o) o = new_buf(10);\n\to.write_shift(1, 0); /* dg */\n\to.write_shift(1, 0);\n\to.write_shift(4, 0); /* color */\n\to.write_shift(4, 0); /* color */\n\treturn o;\n}\n/* [MS-XLSB] 2.4.302 BrtBorder TODO */\nvar parse_BrtBorder = parsenoop;\nfunction write_BrtBorder(border, o) {\n\tif(!o) o = new_buf(51);\n\to.write_shift(1, 0); /* diagonal */\n\twrite_Blxf(null, o); /* top */\n\twrite_Blxf(null, o); /* bottom */\n\twrite_Blxf(null, o); /* left */\n\twrite_Blxf(null, o); /* right */\n\twrite_Blxf(null, o); /* diag */\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.763 BrtStyle TODO */\nfunction write_BrtStyle(style, o) {\n\tif(!o) o = new_buf(12+4*10);\n\to.write_shift(4, style.xfId);\n\to.write_shift(2, 1);\n\to.write_shift(1, +style.builtinId);\n\to.write_shift(1, 0); /* iLevel */\n\twrite_XLNullableWideString(style.name || \"\", o);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.272 BrtBeginTableStyles */\nfunction write_BrtBeginTableStyles(cnt, defTableStyle, defPivotStyle) {\n\tvar o = new_buf(4+256*2*4);\n\to.write_shift(4, cnt);\n\twrite_XLNullableWideString(defTableStyle, o);\n\twrite_XLNullableWideString(defPivotStyle, o);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.1.7.50 Styles */\nfunction parse_sty_bin(data, themes, opts) {\n\tvar styles = {};\n\tstyles.NumberFmt = ([]);\n\tfor(var y in SSF._table) styles.NumberFmt[y] = SSF._table[y];\n\n\tstyles.CellXf = [];\n\tstyles.Fonts = [];\n\tvar state = [];\n\tvar pass = false;\n\trecordhopper(data, function hopper_sty(val, R_n, RT) {\n\t\tswitch(RT) {\n\t\t\tcase 0x002C: /* 'BrtFmt' */\n\t\t\t\tstyles.NumberFmt[val[0]] = val[1]; SSF.load(val[1], val[0]);\n\t\t\t\tbreak;\n\t\t\tcase 0x002B: /* 'BrtFont' */\n\t\t\t\tstyles.Fonts.push(val);\n\t\t\t\tif(val.color.theme != null && themes && themes.themeElements && themes.themeElements.clrScheme) {\n\t\t\t\t\tval.color.rgb = rgb_tint(themes.themeElements.clrScheme[val.color.theme].rgb, val.color.tint || 0);\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase 0x0401: /* 'BrtKnownFonts' */ break;\n\t\t\tcase 0x002D: /* 'BrtFill' */\n\t\t\t\tbreak;\n\t\t\tcase 0x002E: /* 'BrtBorder' */\n\t\t\t\tbreak;\n\t\t\tcase 0x002F: /* 'BrtXF' */\n\t\t\t\tif(state[state.length - 1] == \"BrtBeginCellXFs\") {\n\t\t\t\t\tstyles.CellXf.push(val);\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase 0x0030: /* 'BrtStyle' */\n\t\t\tcase 0x01FB: /* 'BrtDXF' */\n\t\t\tcase 0x023C: /* 'BrtMRUColor' */\n\t\t\tcase 0x01DB: /* 'BrtIndexedColor': */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0493: /* 'BrtDXF14' */\n\t\t\tcase 0x0836: /* 'BrtDXF15' */\n\t\t\tcase 0x046A: /* 'BrtSlicerStyleElement' */\n\t\t\tcase 0x0200: /* 'BrtTableStyleElement' */\n\t\t\tcase 0x082F: /* 'BrtTimelineStyleElement' */\n\t\t\tcase 0x0C00: /* 'BrtUid' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\t\t\tcase 0x0025: /* 'BrtACBegin' */\n\t\t\t\tstate.push(R_n); pass = true; break;\n\t\t\tcase 0x0026: /* 'BrtACEnd' */\n\t\t\t\tstate.pop(); pass = false; break;\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0) state.push(R_n);\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0) state.pop();\n\t\t\t\telse if(!pass || (opts.WTF && state[state.length-1] != \"BrtACBegin\")) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t});\n\treturn styles;\n}\n\nfunction write_FMTS_bin(ba, NF) {\n\tif(!NF) return;\n\tvar cnt = 0;\n\t[[5,8],[23,26],[41,44],[/*63*/50,/*66],[164,*/392]].forEach(function(r) {\nfor(var i = r[0]; i <= r[1]; ++i) if(NF[i] != null) ++cnt;\n\t});\n\n\tif(cnt == 0) return;\n\twrite_record(ba, \"BrtBeginFmts\", write_UInt32LE(cnt));\n\t[[5,8],[23,26],[41,44],[/*63*/50,/*66],[164,*/392]].forEach(function(r) {\nfor(var i = r[0]; i <= r[1]; ++i) if(NF[i] != null) write_record(ba, \"BrtFmt\", write_BrtFmt(i, NF[i]));\n\t});\n\twrite_record(ba, \"BrtEndFmts\");\n}\n\nfunction write_FONTS_bin(ba) {\n\tvar cnt = 1;\n\n\tif(cnt == 0) return;\n\twrite_record(ba, \"BrtBeginFonts\", write_UInt32LE(cnt));\n\twrite_record(ba, \"BrtFont\", write_BrtFont({\n\t\tsz:12,\n\t\tcolor: {theme:1},\n\t\tname: \"Calibri\",\n\t\tfamily: 2,\n\t\tscheme: \"minor\"\n\t}));\n\t/* 1*65491BrtFont [ACFONTS] */\n\twrite_record(ba, \"BrtEndFonts\");\n}\n\nfunction write_FILLS_bin(ba) {\n\tvar cnt = 2;\n\n\tif(cnt == 0) return;\n\twrite_record(ba, \"BrtBeginFills\", write_UInt32LE(cnt));\n\twrite_record(ba, \"BrtFill\", write_BrtFill({patternType:\"none\"}));\n\twrite_record(ba, \"BrtFill\", write_BrtFill({patternType:\"gray125\"}));\n\t/* 1*65431BrtFill */\n\twrite_record(ba, \"BrtEndFills\");\n}\n\nfunction write_BORDERS_bin(ba) {\n\tvar cnt = 1;\n\n\tif(cnt == 0) return;\n\twrite_record(ba, \"BrtBeginBorders\", write_UInt32LE(cnt));\n\twrite_record(ba, \"BrtBorder\", write_BrtBorder({}));\n\t/* 1*65430BrtBorder */\n\twrite_record(ba, \"BrtEndBorders\");\n}\n\nfunction write_CELLSTYLEXFS_bin(ba) {\n\tvar cnt = 1;\n\twrite_record(ba, \"BrtBeginCellStyleXFs\", write_UInt32LE(cnt));\n\twrite_record(ba, \"BrtXF\", write_BrtXF({\n\t\tnumFmtId: 0,\n\t\tfontId: 0,\n\t\tfillId: 0,\n\t\tborderId: 0\n\t}, 0xFFFF));\n\t/* 1*65430(BrtXF *FRT) */\n\twrite_record(ba, \"BrtEndCellStyleXFs\");\n}\n\nfunction write_CELLXFS_bin(ba, data) {\n\twrite_record(ba, \"BrtBeginCellXFs\", write_UInt32LE(data.length));\n\tdata.forEach(function(c) { write_record(ba, \"BrtXF\", write_BrtXF(c,0)); });\n\t/* 1*65430(BrtXF *FRT) */\n\twrite_record(ba, \"BrtEndCellXFs\");\n}\n\nfunction write_STYLES_bin(ba) {\n\tvar cnt = 1;\n\n\twrite_record(ba, \"BrtBeginStyles\", write_UInt32LE(cnt));\n\twrite_record(ba, \"BrtStyle\", write_BrtStyle({\n\t\txfId:0,\n\t\tbuiltinId:0,\n\t\tname:\"Normal\"\n\t}));\n\t/* 1*65430(BrtStyle *FRT) */\n\twrite_record(ba, \"BrtEndStyles\");\n}\n\nfunction write_DXFS_bin(ba) {\n\tvar cnt = 0;\n\n\twrite_record(ba, \"BrtBeginDXFs\", write_UInt32LE(cnt));\n\t/* *2147483647(BrtDXF *FRT) */\n\twrite_record(ba, \"BrtEndDXFs\");\n}\n\nfunction write_TABLESTYLES_bin(ba) {\n\tvar cnt = 0;\n\n\twrite_record(ba, \"BrtBeginTableStyles\", write_BrtBeginTableStyles(cnt, \"TableStyleMedium9\", \"PivotStyleMedium4\"));\n\t/* *TABLESTYLE */\n\twrite_record(ba, \"BrtEndTableStyles\");\n}\n\nfunction write_COLORPALETTE_bin() {\n\treturn;\n\t/* BrtBeginColorPalette [INDEXEDCOLORS] [MRUCOLORS] BrtEndColorPalette */\n}\n\n/* [MS-XLSB] 2.1.7.50 Styles */\nfunction write_sty_bin(wb, opts) {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginStyleSheet\");\n\twrite_FMTS_bin(ba, wb.SSF);\n\twrite_FONTS_bin(ba, wb);\n\twrite_FILLS_bin(ba, wb);\n\twrite_BORDERS_bin(ba, wb);\n\twrite_CELLSTYLEXFS_bin(ba, wb);\n\twrite_CELLXFS_bin(ba, opts.cellXfs);\n\twrite_STYLES_bin(ba, wb);\n\twrite_DXFS_bin(ba, wb);\n\twrite_TABLESTYLES_bin(ba, wb);\n\twrite_COLORPALETTE_bin(ba, wb);\n\t/* FRTSTYLESHEET*/\n\twrite_record(ba, \"BrtEndStyleSheet\");\n\treturn ba.end();\n}\nRELS.THEME = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/theme\";\n\n/* Even though theme layout is dk1 lt1 dk2 lt2, true order is lt1 dk1 lt2 dk2 */\nvar XLSXThemeClrScheme = [\n\t'', '', '', '',\n\t'', '', '',\n\t'', '', '',\n\t'', ''\n];\n/* 20.1.6.2 clrScheme CT_ColorScheme */\nfunction parse_clrScheme(t, themes, opts) {\n\tthemes.themeElements.clrScheme = [];\n\tvar color = {};\n\t(t[0].match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(y[0]) {\n\t\t\t/* 20.1.6.2 clrScheme (Color Scheme) CT_ColorScheme */\n\t\t\tcase '': break;\n\n\t\t\t/* 20.1.2.3.32 srgbClr CT_SRgbColor */\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\tcase '': case '':\n\t\t\t\tif (y[0].charAt(1) === '/') {\n\t\t\t\t\tthemes.themeElements.clrScheme[XLSXThemeClrScheme.indexOf(y[0])] = color;\n\t\t\t\t\tcolor = {};\n\t\t\t\t} else {\n\t\t\t\t\tcolor.name = y[0].slice(3, y[0].length - 1);\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tdefault: if(opts && opts.WTF) throw new Error('Unrecognized ' + y[0] + ' in clrScheme');\n\t\t}\n\t});\n}\n\n/* 20.1.4.1.18 fontScheme CT_FontScheme */\nfunction parse_fontScheme() { }\n\n/* 20.1.4.1.15 fmtScheme CT_StyleMatrix */\nfunction parse_fmtScheme() { }\n\nvar clrsregex = /]*)>[\\s\\S]*<\\/a:clrScheme>/;\nvar fntsregex = /]*)>[\\s\\S]*<\\/a:fontScheme>/;\nvar fmtsregex = /]*)>[\\s\\S]*<\\/a:fmtScheme>/;\n\n/* 20.1.6.10 themeElements CT_BaseStyles */\nfunction parse_themeElements(data, themes, opts) {\n\tthemes.themeElements = {};\n\n\tvar t;\n\n\t[\n\t\t/* clrScheme CT_ColorScheme */\n\t\t['clrScheme', clrsregex, parse_clrScheme],\n\t\t/* fontScheme CT_FontScheme */\n\t\t['fontScheme', fntsregex, parse_fontScheme],\n\t\t/* fmtScheme CT_StyleMatrix */\n\t\t['fmtScheme', fmtsregex, parse_fmtScheme]\n\t].forEach(function(m) {\n\t\tif(!(t=data.match(m[1]))) throw new Error(m[0] + ' not found in themeElements');\n\t\tm[2](t, themes, opts);\n\t});\n}\n\nvar themeltregex = /]*)>[\\s\\S]*<\\/a:themeElements>/;\n\n/* 14.2.7 Theme Part */\nfunction parse_theme_xml(data, opts) {\n\t/* 20.1.6.9 theme CT_OfficeStyleSheet */\n\tif(!data || data.length === 0) return parse_theme_xml(write_theme());\n\n\tvar t;\n\tvar themes = {};\n\n\t/* themeElements CT_BaseStyles */\n\tif(!(t=data.match(themeltregex))) throw new Error('themeElements not found in theme');\n\tparse_themeElements(t[0], themes, opts);\n\tthemes.raw = data;\n\treturn themes;\n}\n\nfunction write_theme(Themes, opts) {\n\tif(opts && opts.themeXLSX) return opts.themeXLSX;\n\tif(Themes && typeof Themes.raw == \"string\") return Themes.raw;\n\tvar o = [XML_HEADER];\n\to[o.length] = '';\n\to[o.length] = '';\n\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = 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'';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\to[o.length] = '';\n\treturn o.join(\"\");\n}\n/* [MS-XLS] 2.4.326 TODO: payload is a zip file */\nfunction parse_Theme(blob, length, opts) {\n\tvar end = blob.l + length;\n\tvar dwThemeVersion = blob.read_shift(4);\n\tif(dwThemeVersion === 124226) return;\n\tif(!opts.cellStyles || !jszip) { blob.l = end; return; }\n\tvar data = blob.slice(blob.l);\n\tblob.l = end;\n\tvar zip; try { zip = new jszip(data); } catch(e) { return; }\n\tvar themeXML = getzipstr(zip, \"theme/theme/theme1.xml\", true);\n\tif(!themeXML) return;\n\treturn parse_theme_xml(themeXML, opts);\n}\n\n/* 2.5.49 */\nfunction parse_ColorTheme(blob) { return blob.read_shift(4); }\n\n/* 2.5.155 */\nfunction parse_FullColorExt(blob) {\n\tvar o = {};\n\to.xclrType = blob.read_shift(2);\n\to.nTintShade = blob.read_shift(2);\n\tswitch(o.xclrType) {\n\t\tcase 0: blob.l += 4; break;\n\t\tcase 1: o.xclrValue = parse_IcvXF(blob, 4); break;\n\t\tcase 2: o.xclrValue = parse_LongRGBA(blob, 4); break;\n\t\tcase 3: o.xclrValue = parse_ColorTheme(blob, 4); break;\n\t\tcase 4: blob.l += 4; break;\n\t}\n\tblob.l += 8;\n\treturn o;\n}\n\n/* 2.5.164 TODO: read 7 bits*/\nfunction parse_IcvXF(blob, length) {\n\treturn parsenoop(blob, length);\n}\n\n/* 2.5.280 */\nfunction parse_XFExtGradient(blob, length) {\n\treturn parsenoop(blob, length);\n}\n\n/* [MS-XLS] 2.5.108 */\nfunction parse_ExtProp(blob) {\n\tvar extType = blob.read_shift(2);\n\tvar cb = blob.read_shift(2) - 4;\n\tvar o = [extType];\n\tswitch(extType) {\n\t\tcase 0x04: case 0x05: case 0x07: case 0x08:\n\t\tcase 0x09: case 0x0A: case 0x0B: case 0x0D:\n\t\t\to[1] = parse_FullColorExt(blob, cb); break;\n\t\tcase 0x06: o[1] = parse_XFExtGradient(blob, cb); break;\n\t\tcase 0x0E: case 0x0F: o[1] = blob.read_shift(cb === 1 ? 1 : 2); break;\n\t\tdefault: throw new Error(\"Unrecognized ExtProp type: \" + extType + \" \" + cb);\n\t}\n\treturn o;\n}\n\n/* 2.4.355 */\nfunction parse_XFExt(blob, length) {\n\tvar end = blob.l + length;\n\tblob.l += 2;\n\tvar ixfe = blob.read_shift(2);\n\tblob.l += 2;\n\tvar cexts = blob.read_shift(2);\n\tvar ext = [];\n\twhile(cexts-- > 0) ext.push(parse_ExtProp(blob, end-blob.l));\n\treturn {ixfe:ixfe, ext:ext};\n}\n\n/* xf is an XF, see parse_XFExt for xfext */\nfunction update_xfext(xf, xfext) {\n\txfext.forEach(function(xfe) {\n\t\tswitch(xfe[0]) { /* 2.5.108 extPropData */\n\t\t\tcase 0x04: break; /* foreground color */\n\t\t\tcase 0x05: break; /* background color */\n\t\t\tcase 0x06: break; /* gradient fill */\n\t\t\tcase 0x07: break; /* top cell border color */\n\t\t\tcase 0x08: break; /* bottom cell border color */\n\t\t\tcase 0x09: break; /* left cell border color */\n\t\t\tcase 0x0a: break; /* right cell border color */\n\t\t\tcase 0x0b: break; /* diagonal cell border color */\n\t\t\tcase 0x0d: /* text color */\n\t\t\t\tbreak;\n\t\t\tcase 0x0e: break; /* font scheme */\n\t\t\tcase 0x0f: break; /* indentation level */\n\t\t}\n\t});\n}\n\n/* 18.6 Calculation Chain */\nfunction parse_cc_xml(data) {\n\tvar d = [];\n\tif(!data) return d;\n\tvar i = 1;\n\t(data.match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(y[0]) {\n\t\t\tcase '': case '': break;\n\t\t\t/* 18.6.1 c CT_CalcCell 1 */\n\t\t\tcase ' 0){/* empty */}\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0){/* empty */}\n\t\t\t\telse if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t});\n\treturn out;\n}\n\n//function write_cc_bin(data, opts) { }\n/* 18.14 Supplementary Workbook Data */\nfunction parse_xlink_xml() {\n\t//var opts = _opts || {};\n\t//if(opts.WTF) throw \"XLSX External Link\";\n}\n\n/* [MS-XLSB] 2.1.7.25 External Link */\nfunction parse_xlink_bin(data, rel, name, _opts) {\n\tif(!data) return data;\n\tvar opts = _opts || {};\n\n\tvar pass = false, end = false;\n\n\trecordhopper(data, function xlink_parse(val, R_n, RT) {\n\t\tif(end) return;\n\t\tswitch(RT) {\n\t\t\tcase 0x0167: /* 'BrtSupTabs' */\n\t\t\tcase 0x016B: /* 'BrtExternTableStart' */\n\t\t\tcase 0x016C: /* 'BrtExternTableEnd' */\n\t\t\tcase 0x016E: /* 'BrtExternRowHdr' */\n\t\t\tcase 0x016F: /* 'BrtExternCellBlank' */\n\t\t\tcase 0x0170: /* 'BrtExternCellReal' */\n\t\t\tcase 0x0171: /* 'BrtExternCellBool' */\n\t\t\tcase 0x0172: /* 'BrtExternCellError' */\n\t\t\tcase 0x0173: /* 'BrtExternCellString' */\n\t\t\tcase 0x01D8: /* 'BrtExternValueMeta' */\n\t\t\tcase 0x0241: /* 'BrtSupNameStart' */\n\t\t\tcase 0x0242: /* 'BrtSupNameValueStart' */\n\t\t\tcase 0x0243: /* 'BrtSupNameValueEnd' */\n\t\t\tcase 0x0244: /* 'BrtSupNameNum' */\n\t\t\tcase 0x0245: /* 'BrtSupNameErr' */\n\t\t\tcase 0x0246: /* 'BrtSupNameSt' */\n\t\t\tcase 0x0247: /* 'BrtSupNameNil' */\n\t\t\tcase 0x0248: /* 'BrtSupNameBool' */\n\t\t\tcase 0x0249: /* 'BrtSupNameFmla' */\n\t\t\tcase 0x024A: /* 'BrtSupNameBits' */\n\t\t\tcase 0x024B: /* 'BrtSupNameEnd' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0){/* empty */}\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0){/* empty */}\n\t\t\t\telse if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT.toString(16) + \" \" + R_n);\n\t\t}\n\t}, opts);\n}\n/* 20.5 DrawingML - SpreadsheetML Drawing */\nRELS.IMG = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/image\";\nRELS.DRAW = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/drawing\";\n\n/* 20.5.2.35 wsDr CT_Drawing */\nfunction parse_drawing(data, rels) {\n\tif(!data) return \"??\";\n\t/*\n\t Chartsheet Drawing:\n\t - 20.5.2.35 wsDr CT_Drawing\n\t - 20.5.2.1 absoluteAnchor CT_AbsoluteAnchor\n\t - 20.5.2.16 graphicFrame CT_GraphicalObjectFrame\n\t - 20.1.2.2.16 graphic CT_GraphicalObject\n\t - 20.1.2.2.17 graphicData CT_GraphicalObjectData\n - chart reference\n\t the actual type is based on the URI of the graphicData\n\t\tTODO: handle embedded charts and other types of graphics\n\t*/\n\tvar id = (data.match(/]*r:id=\"([^\"]*)\"/)||[\"\",\"\"])[1];\n\n\treturn rels['!id'][id].Target;\n}\n\n/* L.5.5.2 SpreadsheetML Comments + VML Schema */\nvar _shapeid = 1024;\nfunction write_comments_vml(rId, comments) {\n\tvar csize = [21600, 21600];\n\t/* L.5.2.1.2 Path Attribute */\n\tvar bbox = [\"m0,0l0\",csize[1],csize[0],csize[1],csize[0],\"0xe\"].join(\",\");\n\tvar o = [\n\t\twritextag(\"xml\", null, { 'xmlns:v': XLMLNS.v, 'xmlns:o': XLMLNS.o, 'xmlns:x': XLMLNS.x, 'xmlns:mv': XLMLNS.mv }).replace(/\\/>/,\">\"),\n\t\twritextag(\"o:shapelayout\", writextag(\"o:idmap\", null, {'v:ext':\"edit\", 'data':rId}), {'v:ext':\"edit\"}),\n\t\twritextag(\"v:shapetype\", [\n\t\t\twritextag(\"v:stroke\", null, {joinstyle:\"miter\"}),\n\t\t\twritextag(\"v:path\", null, {gradientshapeok:\"t\", 'o:connecttype':\"rect\"})\n\t\t].join(\"\"), {id:\"_x0000_t202\", 'o:spt':202, coordsize:csize.join(\",\"),path:bbox})\n\t];\n\twhile(_shapeid < rId * 1000) _shapeid += 1000;\n\n\tcomments.forEach(function(x) {\n\tvar c = decode_cell(x[0]);\n\tvar fillopts = {'color2':\"#BEFF82\", 'type':\"gradient\"};\n\tif(fillopts.type == \"gradient\") fillopts.angle = \"-180\";\n\tvar fillparm = fillopts.type == \"gradient\" ? writextag(\"o:fill\", null, {type:\"gradientUnscaled\", 'v:ext':\"view\"}) : null;\n\tvar fillxml = writextag('v:fill', fillparm, fillopts);\n\n\tvar shadata = ({on:\"t\", 'obscured':\"t\"});\n\t++_shapeid;\n\n\to = o.concat([\n\t'',\n\t\tfillxml,\n\t\twritextag(\"v:shadow\", null, shadata),\n\t\twritextag(\"v:path\", null, {'o:connecttype':\"none\"}),\n\t\t'
',\n\t\t'',\n\t\t\t'',\n\t\t\t'',\n\t\t\t/* Part 4 19.4.2.3 Anchor (Anchor) */\n\t\t\twritetag('x:Anchor', [c.c+1, 0, c.r+1, 0, c.c+3, 20, c.r+5, 20].join(\",\")),\n\t\t\twritetag('x:AutoFill', \"False\"),\n\t\t\twritetag('x:Row', String(c.r)),\n\t\t\twritetag('x:Column', String(c.c)),\n\t\t\tx[1].hidden ? '' : '',\n\t\t'',\n\t''\n\t]); });\n\to.push('');\n\treturn o.join(\"\");\n}\nRELS.CMNT = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/comments\";\n\nfunction sheet_insert_comments(sheet, comments) {\n\tvar dense = Array.isArray(sheet);\n\tvar cell;\n\tcomments.forEach(function(comment) {\n\t\tvar r = decode_cell(comment.ref);\n\t\tif(dense) {\n\t\t\tif(!sheet[r.r]) sheet[r.r] = [];\n\t\t\tcell = sheet[r.r][r.c];\n\t\t} else cell = sheet[comment.ref];\n\t\tif (!cell) {\n\t\t\tcell = ({t:\"z\"});\n\t\t\tif(dense) sheet[r.r][r.c] = cell;\n\t\t\telse sheet[comment.ref] = cell;\n\t\t\tvar range = safe_decode_range(sheet[\"!ref\"]||\"BDWGO1000001:A1\");\n\t\t\tif(range.s.r > r.r) range.s.r = r.r;\n\t\t\tif(range.e.r < r.r) range.e.r = r.r;\n\t\t\tif(range.s.c > r.c) range.s.c = r.c;\n\t\t\tif(range.e.c < r.c) range.e.c = r.c;\n\t\t\tvar encoded = encode_range(range);\n\t\t\tif (encoded !== sheet[\"!ref\"]) sheet[\"!ref\"] = encoded;\n\t\t}\n\n\t\tif (!cell.c) cell.c = [];\n\t\tvar o = ({a: comment.author, t: comment.t, r: comment.r});\n\t\tif(comment.h) o.h = comment.h;\n\t\tcell.c.push(o);\n\t});\n}\n\n/* 18.7 Comments */\nfunction parse_comments_xml(data, opts) {\n\t/* 18.7.6 CT_Comments */\n\tif(data.match(/<(?:\\w+:)?comments *\\/>/)) return [];\n\tvar authors = [];\n\tvar commentList = [];\n\tvar authtag = data.match(/<(?:\\w+:)?authors>([\\s\\S]*)<\\/(?:\\w+:)?authors>/);\n\tif(authtag && authtag[1]) authtag[1].split(/<\\/\\w*:?author>/).forEach(function(x) {\n\t\tif(x === \"\" || x.trim() === \"\") return;\n\t\tvar a = x.match(/<(?:\\w+:)?author[^>]*>(.*)/);\n\t\tif(a) authors.push(a[1]);\n\t});\n\tvar cmnttag = data.match(/<(?:\\w+:)?commentList>([\\s\\S]*)<\\/(?:\\w+:)?commentList>/);\n\tif(cmnttag && cmnttag[1]) cmnttag[1].split(/<\\/\\w*:?comment>/).forEach(function(x) {\n\t\tif(x === \"\" || x.trim() === \"\") return;\n\t\tvar cm = x.match(/<(?:\\w+:)?comment[^>]*>/);\n\t\tif(!cm) return;\n\t\tvar y = parsexmltag(cm[0]);\n\t\tvar comment = ({ author: y.authorId && authors[y.authorId] || \"sheetjsghost\", ref: y.ref, guid: y.guid });\n\t\tvar cell = decode_cell(y.ref);\n\t\tif(opts.sheetRows && opts.sheetRows <= cell.r) return;\n\t\tvar textMatch = x.match(/<(?:\\w+:)?text>([\\s\\S]*)<\\/(?:\\w+:)?text>/);\n\t\tvar rt = !!textMatch && !!textMatch[1] && parse_si(textMatch[1]) || {r:\"\",t:\"\",h:\"\"};\n\t\tcomment.r = rt.r;\n\t\tif(rt.r == \"\") rt.t = rt.h = \"\";\n\t\tcomment.t = rt.t.replace(/\\r\\n/g,\"\\n\").replace(/\\r/g,\"\\n\");\n\t\tif(opts.cellHTML) comment.h = rt.h;\n\t\tcommentList.push(comment);\n\t});\n\treturn commentList;\n}\n\nvar CMNT_XML_ROOT = writextag('comments', null, { 'xmlns': XMLNS.main[0] });\nfunction write_comments_xml(data) {\n\tvar o = [XML_HEADER, CMNT_XML_ROOT];\n\n\tvar iauthor = [];\n\to.push(\"\");\n\tdata.forEach(function(x) { x[1].forEach(function(w) { var a = escapexml(w.a);\n\t\tif(iauthor.indexOf(a) > -1) return;\n\t\tiauthor.push(a);\n\t\to.push(\"\" + a + \"\");\n\t}); });\n\to.push(\"\");\n\to.push(\"\");\n\tdata.forEach(function(d) {\n\t\td[1].forEach(function(c) {\n\t\t\t/* 18.7.3 CT_Comment */\n\t\t\to.push('');\n\t\t\to.push(writetag(\"t\", c.t == null ? \"\" : escapexml(c.t)));\n\t\t\to.push('');\n\t\t});\n\t});\n\to.push(\"\");\n\tif(o.length>2) { o[o.length] = (''); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.28 BrtBeginComment */\nfunction parse_BrtBeginComment(data) {\n\tvar out = {};\n\tout.iauthor = data.read_shift(4);\n\tvar rfx = parse_UncheckedRfX(data, 16);\n\tout.rfx = rfx.s;\n\tout.ref = encode_cell(rfx.s);\n\tdata.l += 16; /*var guid = parse_GUID(data); */\n\treturn out;\n}\nfunction write_BrtBeginComment(data, o) {\n\tif(o == null) o = new_buf(36);\n\to.write_shift(4, data[1].iauthor);\n\twrite_UncheckedRfX((data[0]), o);\n\to.write_shift(4, 0);\n\to.write_shift(4, 0);\n\to.write_shift(4, 0);\n\to.write_shift(4, 0);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.327 BrtCommentAuthor */\nvar parse_BrtCommentAuthor = parse_XLWideString;\nfunction write_BrtCommentAuthor(data) { return write_XLWideString(data.slice(0, 54)); }\n\n/* [MS-XLSB] 2.1.7.8 Comments */\nfunction parse_comments_bin(data, opts) {\n\tvar out = [];\n\tvar authors = [];\n\tvar c = {};\n\tvar pass = false;\n\trecordhopper(data, function hopper_cmnt(val, R_n, RT) {\n\t\tswitch(RT) {\n\t\t\tcase 0x0278: /* 'BrtCommentAuthor' */\n\t\t\t\tauthors.push(val); break;\n\t\t\tcase 0x027B: /* 'BrtBeginComment' */\n\t\t\t\tc = val; break;\n\t\t\tcase 0x027D: /* 'BrtCommentText' */\n\t\t\t\tc.t = val.t; c.h = val.h; c.r = val.r; break;\n\t\t\tcase 0x027C: /* 'BrtEndComment' */\n\t\t\t\tc.author = authors[c.iauthor];\n\t\t\t\tdelete (c).iauthor;\n\t\t\t\tif(opts.sheetRows && c.rfx && opts.sheetRows <= c.rfx.r) break;\n\t\t\t\tif(!c.t) c.t = \"\";\n\t\t\t\tdelete c.rfx; out.push(c); break;\n\n\t\t\tcase 0x0C00: /* 'BrtUid' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\t\t\tcase 0x0025: /* 'BrtACBegin' */ break;\n\t\t\tcase 0x0026: /* 'BrtACEnd' */ break;\n\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0){/* empty */}\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0){/* empty */}\n\t\t\t\telse if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t});\n\treturn out;\n}\n\nfunction write_comments_bin(data) {\n\tvar ba = buf_array();\n\tvar iauthor = [];\n\twrite_record(ba, \"BrtBeginComments\");\n\n\twrite_record(ba, \"BrtBeginCommentAuthors\");\n\tdata.forEach(function(comment) {\n\t\tcomment[1].forEach(function(c) {\n\t\t\tif(iauthor.indexOf(c.a) > -1) return;\n\t\t\tiauthor.push(c.a.slice(0,54));\n\t\t\twrite_record(ba, \"BrtCommentAuthor\", write_BrtCommentAuthor(c.a));\n\t\t});\n\t});\n\twrite_record(ba, \"BrtEndCommentAuthors\");\n\n\twrite_record(ba, \"BrtBeginCommentList\");\n\tdata.forEach(function(comment) {\n\t\tcomment[1].forEach(function(c) {\n\t\t\tc.iauthor = iauthor.indexOf(c.a);\n\t\t\tvar range = {s:decode_cell(comment[0]),e:decode_cell(comment[0])};\n\t\t\twrite_record(ba, \"BrtBeginComment\", write_BrtBeginComment([range, c]));\n\t\t\tif(c.t && c.t.length > 0) write_record(ba, \"BrtCommentText\", write_BrtCommentText(c));\n\t\t\twrite_record(ba, \"BrtEndComment\");\n\t\t\tdelete c.iauthor;\n\t\t});\n\t});\n\twrite_record(ba, \"BrtEndCommentList\");\n\n\twrite_record(ba, \"BrtEndComments\");\n\treturn ba.end();\n}\nvar CT_VBA = \"application/vnd.ms-office.vbaProject\";\nfunction make_vba_xls(cfb) {\n\tvar newcfb = CFB.utils.cfb_new({root:\"R\"});\n\tcfb.FullPaths.forEach(function(p, i) {\n\t\tif(p.slice(-1) === \"/\" || !p.match(/_VBA_PROJECT_CUR/)) return;\n\t\tvar newpath = p.replace(/^[^\\/]*/,\"R\").replace(/\\/_VBA_PROJECT_CUR\\u0000*/, \"\");\n\t\tCFB.utils.cfb_add(newcfb, newpath, cfb.FileIndex[i].content);\n\t});\n\treturn CFB.write(newcfb);\n}\n\nfunction fill_vba_xls(cfb, vba) {\n\tvba.FullPaths.forEach(function(p, i) {\n\t\tif(i == 0) return;\n\t\tvar newpath = p.replace(/[^\\/]*[\\/]/, \"/_VBA_PROJECT_CUR/\");\n\t\tif(newpath.slice(-1) !== \"/\") CFB.utils.cfb_add(cfb, newpath, vba.FileIndex[i].content);\n\t});\n}\n\nvar VBAFMTS = [ \"xlsb\", \"xlsm\", \"xlam\", \"biff8\", \"xla\" ];\n\nRELS.DS = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/dialogsheet\";\nRELS.MS = \"http://schemas.microsoft.com/office/2006/relationships/xlMacrosheet\";\n\n/* macro and dialog sheet stubs */\nfunction parse_ds_bin() { return {'!type':'dialog'}; }\nfunction parse_ds_xml() { return {'!type':'dialog'}; }\nfunction parse_ms_bin() { return {'!type':'macro'}; }\nfunction parse_ms_xml() { return {'!type':'macro'}; }\n/* TODO: it will be useful to parse the function str */\nvar rc_to_a1 = (function(){\n\tvar rcregex = /(^|[^A-Za-z_])R(\\[?-?\\d+\\]|[1-9]\\d*|)C(\\[?-?\\d+\\]|[1-9]\\d*|)(?![A-Za-z0-9_])/g;\n\tvar rcbase = ({r:0,c:0});\n\tfunction rcfunc($$,$1,$2,$3) {\n\t\tvar cRel = false, rRel = false;\n\n\t\tif($2.length == 0) rRel = true;\n\t\telse if($2.charAt(0) == \"[\") { rRel = true; $2 = $2.slice(1, -1); }\n\n\t\tif($3.length == 0) cRel = true;\n\t\telse if($3.charAt(0) == \"[\") { cRel = true; $3 = $3.slice(1, -1); }\n\n\t\tvar R = $2.length>0?parseInt($2,10)|0:0, C = $3.length>0?parseInt($3,10)|0:0;\n\n\t\tif(cRel) C += rcbase.c; else --C;\n\t\tif(rRel) R += rcbase.r; else --R;\n\t\treturn $1 + (cRel ? \"\" : \"$\") + encode_col(C) + (rRel ? \"\" : \"$\") + encode_row(R);\n\t}\n\treturn function rc_to_a1(fstr, base) {\n\t\trcbase = base;\n\t\treturn fstr.replace(rcregex, rcfunc);\n\t};\n})();\n\nvar crefregex = /(^|[^._A-Z0-9])([$]?)([A-Z]{1,2}|[A-W][A-Z]{2}|X[A-E][A-Z]|XF[A-D])([$]?)(10[0-3]\\d{4}|104[0-7]\\d{3}|1048[0-4]\\d{2}|10485[0-6]\\d|104857[0-6]|[1-9]\\d{0,5})(?![_.\\(A-Za-z0-9])/g;\nvar a1_to_rc =(function(){\n\treturn function a1_to_rc(fstr, base) {\n\t\treturn fstr.replace(crefregex, function($0, $1, $2, $3, $4, $5) {\n\t\t\tvar c = decode_col($3) - ($2 ? 0 : base.c);\n\t\t\tvar r = decode_row($5) - ($4 ? 0 : base.r);\n\t\t\tvar R = (r == 0 ? \"\" : !$4 ? \"[\" + r + \"]\" : (r+1));\n\t\t\tvar C = (c == 0 ? \"\" : !$2 ? \"[\" + c + \"]\" : (c+1));\n\t\t\treturn $1 + \"R\" + R + \"C\" + C;\n\t\t});\n\t};\n})();\n\n/* no defined name can collide with a valid cell address A1:XFD1048576 ... except LOG10! */\nfunction shift_formula_str(f, delta) {\n\treturn f.replace(crefregex, function($0, $1, $2, $3, $4, $5) {\n\t\treturn $1+($2==\"$\" ? $2+$3 : encode_col(decode_col($3)+delta.c))+($4==\"$\" ? $4+$5 : encode_row(decode_row($5) + delta.r));\n\t});\n}\n\nfunction shift_formula_xlsx(f, range, cell) {\n\tvar r = decode_range(range), s = r.s, c = decode_cell(cell);\n\tvar delta = {r:c.r - s.r, c:c.c - s.c};\n\treturn shift_formula_str(f, delta);\n}\n\n/* TODO: parse formula */\nfunction fuzzyfmla(f) {\n\tif(f.length == 1) return false;\n\treturn true;\n}\n\nfunction _xlfn(f) {\n\treturn f.replace(/_xlfn\\./g,\"\");\n}\nfunction parseread1(blob) { blob.l+=1; return; }\n\n/* [MS-XLS] 2.5.51 */\nfunction parse_ColRelU(blob, length) {\n\tvar c = blob.read_shift(length == 1 ? 1 : 2);\n\treturn [c & 0x3FFF, (c >> 14) & 1, (c >> 15) & 1];\n}\n\n/* [MS-XLS] 2.5.198.105 ; [MS-XLSB] 2.5.97.89 */\nfunction parse_RgceArea(blob, length, opts) {\n\tvar w = 2;\n\tif(opts) {\n\t\tif(opts.biff >= 2 && opts.biff <= 5) return parse_RgceArea_BIFF2(blob, length, opts);\n\t\telse if(opts.biff == 12) w = 4;\n\t}\n\tvar r=blob.read_shift(w), R=blob.read_shift(w);\n\tvar c=parse_ColRelU(blob, 2);\n\tvar C=parse_ColRelU(blob, 2);\n\treturn { s:{r:r, c:c[0], cRel:c[1], rRel:c[2]}, e:{r:R, c:C[0], cRel:C[1], rRel:C[2]} };\n}\n/* BIFF 2-5 encodes flags in the row field */\nfunction parse_RgceArea_BIFF2(blob) {\n\tvar r=parse_ColRelU(blob, 2), R=parse_ColRelU(blob, 2);\n\tvar c=blob.read_shift(1);\n\tvar C=blob.read_shift(1);\n\treturn { s:{r:r[0], c:c, cRel:r[1], rRel:r[2]}, e:{r:R[0], c:C, cRel:R[1], rRel:R[2]} };\n}\n\n/* [MS-XLS] 2.5.198.105 ; [MS-XLSB] 2.5.97.90 */\nfunction parse_RgceAreaRel(blob, length, opts) {\n\tif(opts.biff < 8) return parse_RgceArea_BIFF2(blob, length, opts);\n\tvar r=blob.read_shift(opts.biff == 12 ? 4 : 2), R=blob.read_shift(opts.biff == 12 ? 4 : 2);\n\tvar c=parse_ColRelU(blob, 2);\n\tvar C=parse_ColRelU(blob, 2);\n\treturn { s:{r:r, c:c[0], cRel:c[1], rRel:c[2]}, e:{r:R, c:C[0], cRel:C[1], rRel:C[2]} };\n}\n\n/* [MS-XLS] 2.5.198.109 ; [MS-XLSB] 2.5.97.91 */\nfunction parse_RgceLoc(blob, length, opts) {\n\tif(opts && opts.biff >= 2 && opts.biff <= 5) return parse_RgceLoc_BIFF2(blob, length, opts);\n\tvar r = blob.read_shift(opts && opts.biff == 12 ? 4 : 2);\n\tvar c = parse_ColRelU(blob, 2);\n\treturn {r:r, c:c[0], cRel:c[1], rRel:c[2]};\n}\nfunction parse_RgceLoc_BIFF2(blob) {\n\tvar r = parse_ColRelU(blob, 2);\n\tvar c = blob.read_shift(1);\n\treturn {r:r[0], c:c, cRel:r[1], rRel:r[2]};\n}\n\n/* [MS-XLS] 2.5.198.107, 2.5.47 */\nfunction parse_RgceElfLoc(blob) {\n\tvar r = blob.read_shift(2);\n\tvar c = blob.read_shift(2);\n\treturn {r:r, c:c & 0xFF, fQuoted:!!(c & 0x4000), cRel:c>>15, rRel:c>>15 };\n}\n\n/* [MS-XLS] 2.5.198.111 ; [MS-XLSB] 2.5.97.92 TODO */\nfunction parse_RgceLocRel(blob, length, opts) {\n\tvar biff = opts && opts.biff ? opts.biff : 8;\n\tif(biff >= 2 && biff <= 5) return parse_RgceLocRel_BIFF2(blob, length, opts);\n\tvar r = blob.read_shift(biff >= 12 ? 4 : 2);\n\tvar cl = blob.read_shift(2);\n\tvar cRel = (cl & 0x4000) >> 14, rRel = (cl & 0x8000) >> 15;\n\tcl &= 0x3FFF;\n\tif(rRel == 1) while(r > 0x7FFFF) r -= 0x100000;\n\tif(cRel == 1) while(cl > 0x1FFF) cl = cl - 0x4000;\n\treturn {r:r,c:cl,cRel:cRel,rRel:rRel};\n}\nfunction parse_RgceLocRel_BIFF2(blob) {\n\tvar rl = blob.read_shift(2);\n\tvar c = blob.read_shift(1);\n\tvar rRel = (rl & 0x8000) >> 15, cRel = (rl & 0x4000) >> 14;\n\trl &= 0x3FFF;\n\tif(rRel == 1 && rl >= 0x2000) rl = rl - 0x4000;\n\tif(cRel == 1 && c >= 0x80) c = c - 0x100;\n\treturn {r:rl,c:c,cRel:cRel,rRel:rRel};\n}\n\n/* [MS-XLS] 2.5.198.27 ; [MS-XLSB] 2.5.97.18 */\nfunction parse_PtgArea(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar area = parse_RgceArea(blob, opts.biff >= 2 && opts.biff <= 5 ? 6 : 8, opts);\n\treturn [type, area];\n}\n\n/* [MS-XLS] 2.5.198.28 ; [MS-XLSB] 2.5.97.19 */\nfunction parse_PtgArea3d(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar ixti = blob.read_shift(2, 'i');\n\tvar w = 8;\n\tif(opts) switch(opts.biff) {\n\t\tcase 5: blob.l += 12; w = 6; break;\n\t\tcase 12: w = 12; break;\n\t}\n\tvar area = parse_RgceArea(blob, w, opts);\n\treturn [type, ixti, area];\n}\n\n/* [MS-XLS] 2.5.198.29 ; [MS-XLSB] 2.5.97.20 */\nfunction parse_PtgAreaErr(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tblob.l += opts && (opts.biff > 8) ? 12 : (opts.biff < 8 ? 6 : 8);\n\treturn [type];\n}\n/* [MS-XLS] 2.5.198.30 ; [MS-XLSB] 2.5.97.21 */\nfunction parse_PtgAreaErr3d(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar ixti = blob.read_shift(2);\n\tvar w = 8;\n\tif(opts) switch(opts.biff) {\n\t\tcase 5: blob.l += 12; w = 6; break;\n\t\tcase 12: w = 12; break;\n\t}\n\tblob.l += w;\n\treturn [type, ixti];\n}\n\n/* [MS-XLS] 2.5.198.31 ; [MS-XLSB] 2.5.97.22 */\nfunction parse_PtgAreaN(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar area = parse_RgceAreaRel(blob, length - 1, opts);\n\treturn [type, area];\n}\n\n/* [MS-XLS] 2.5.198.32 ; [MS-XLSB] 2.5.97.23 */\nfunction parse_PtgArray(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tblob.l += opts.biff == 2 ? 6 : opts.biff == 12 ? 14 : 7;\n\treturn [type];\n}\n\n/* [MS-XLS] 2.5.198.33 ; [MS-XLSB] 2.5.97.24 */\nfunction parse_PtgAttrBaxcel(blob) {\n\tvar bitSemi = blob[blob.l+1] & 0x01; /* 1 = volatile */\n\tvar bitBaxcel = 1;\n\tblob.l += 4;\n\treturn [bitSemi, bitBaxcel];\n}\n\n/* [MS-XLS] 2.5.198.34 ; [MS-XLSB] 2.5.97.25 */\nfunction parse_PtgAttrChoose(blob, length, opts) {\n\tblob.l +=2;\n\tvar offset = blob.read_shift(opts && opts.biff == 2 ? 1 : 2);\n\tvar o = [];\n\t/* offset is 1 less than the number of elements */\n\tfor(var i = 0; i <= offset; ++i) o.push(blob.read_shift(opts && opts.biff == 2 ? 1 : 2));\n\treturn o;\n}\n\n/* [MS-XLS] 2.5.198.35 ; [MS-XLSB] 2.5.97.26 */\nfunction parse_PtgAttrGoto(blob, length, opts) {\n\tvar bitGoto = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += 2;\n\treturn [bitGoto, blob.read_shift(opts && opts.biff == 2 ? 1 : 2)];\n}\n\n/* [MS-XLS] 2.5.198.36 ; [MS-XLSB] 2.5.97.27 */\nfunction parse_PtgAttrIf(blob, length, opts) {\n\tvar bitIf = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += 2;\n\treturn [bitIf, blob.read_shift(opts && opts.biff == 2 ? 1 : 2)];\n}\n\n/* [MS-XLSB] 2.5.97.28 */\nfunction parse_PtgAttrIfError(blob) {\n\tvar bitIf = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += 2;\n\treturn [bitIf, blob.read_shift(2)];\n}\n\n/* [MS-XLS] 2.5.198.37 ; [MS-XLSB] 2.5.97.29 */\nfunction parse_PtgAttrSemi(blob, length, opts) {\n\tvar bitSemi = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += opts && opts.biff == 2 ? 3 : 4;\n\treturn [bitSemi];\n}\n\n/* [MS-XLS] 2.5.198.40 ; [MS-XLSB] 2.5.97.32 */\nfunction parse_PtgAttrSpaceType(blob) {\n\tvar type = blob.read_shift(1), cch = blob.read_shift(1);\n\treturn [type, cch];\n}\n\n/* [MS-XLS] 2.5.198.38 ; [MS-XLSB] 2.5.97.30 */\nfunction parse_PtgAttrSpace(blob) {\n\tblob.read_shift(2);\n\treturn parse_PtgAttrSpaceType(blob, 2);\n}\n\n/* [MS-XLS] 2.5.198.39 ; [MS-XLSB] 2.5.97.31 */\nfunction parse_PtgAttrSpaceSemi(blob) {\n\tblob.read_shift(2);\n\treturn parse_PtgAttrSpaceType(blob, 2);\n}\n\n/* [MS-XLS] 2.5.198.84 ; [MS-XLSB] 2.5.97.68 TODO */\nfunction parse_PtgRef(blob, length, opts) {\n\t//var ptg = blob[blob.l] & 0x1F;\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar loc = parse_RgceLoc(blob, 0, opts);\n\treturn [type, loc];\n}\n\n/* [MS-XLS] 2.5.198.88 ; [MS-XLSB] 2.5.97.72 TODO */\nfunction parse_PtgRefN(blob, length, opts) {\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar loc = parse_RgceLocRel(blob, 0, opts);\n\treturn [type, loc];\n}\n\n/* [MS-XLS] 2.5.198.85 ; [MS-XLSB] 2.5.97.69 TODO */\nfunction parse_PtgRef3d(blob, length, opts) {\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar ixti = blob.read_shift(2); // XtiIndex\n\tif(opts && opts.biff == 5) blob.l += 12;\n\tvar loc = parse_RgceLoc(blob, 0, opts); // TODO: or RgceLocRel\n\treturn [type, ixti, loc];\n}\n\n\n/* [MS-XLS] 2.5.198.62 ; [MS-XLSB] 2.5.97.45 TODO */\nfunction parse_PtgFunc(blob, length, opts) {\n\t//var ptg = blob[blob.l] & 0x1F;\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar iftab = blob.read_shift(opts && opts.biff <= 3 ? 1 : 2);\n\treturn [FtabArgc[iftab], Ftab[iftab], type];\n}\n/* [MS-XLS] 2.5.198.63 ; [MS-XLSB] 2.5.97.46 TODO */\nfunction parse_PtgFuncVar(blob, length, opts) {\n\tvar type = blob[blob.l++];\n\tvar cparams = blob.read_shift(1), tab = opts && opts.biff <= 3 ? [(type == 0x58 ? -1 : 0), blob.read_shift(1)]: parsetab(blob);\n\treturn [cparams, (tab[0] === 0 ? Ftab : Cetab)[tab[1]]];\n}\n\nfunction parsetab(blob) {\n\treturn [blob[blob.l+1]>>7, blob.read_shift(2) & 0x7FFF];\n}\n\n/* [MS-XLS] 2.5.198.41 ; [MS-XLSB] 2.5.97.33 */\nfunction parse_PtgAttrSum(blob, length, opts) {\n\tblob.l += opts && opts.biff == 2 ? 3 : 4; return;\n}\n\n/* [MS-XLS] 2.5.198.58 ; [MS-XLSB] 2.5.97.40 */\nfunction parse_PtgExp(blob, length, opts) {\n\tblob.l++;\n\tif(opts && opts.biff == 12) return [blob.read_shift(4, 'i'), 0];\n\tvar row = blob.read_shift(2);\n\tvar col = blob.read_shift(opts && opts.biff == 2 ? 1 : 2);\n\treturn [row, col];\n}\n\n/* [MS-XLS] 2.5.198.57 ; [MS-XLSB] 2.5.97.39 */\nfunction parse_PtgErr(blob) { blob.l++; return BErr[blob.read_shift(1)]; }\n\n/* [MS-XLS] 2.5.198.66 ; [MS-XLSB] 2.5.97.49 */\nfunction parse_PtgInt(blob) { blob.l++; return blob.read_shift(2); }\n\n/* [MS-XLS] 2.5.198.42 ; [MS-XLSB] 2.5.97.34 */\nfunction parse_PtgBool(blob) { blob.l++; return blob.read_shift(1)!==0;}\n\n/* [MS-XLS] 2.5.198.79 ; [MS-XLSB] 2.5.97.63 */\nfunction parse_PtgNum(blob) { blob.l++; return parse_Xnum(blob, 8); }\n\n/* [MS-XLS] 2.5.198.89 ; [MS-XLSB] 2.5.97.74 */\nfunction parse_PtgStr(blob, length, opts) { blob.l++; return parse_ShortXLUnicodeString(blob, length-1, opts); }\n\n/* [MS-XLS] 2.5.192.112 + 2.5.192.11{3,4,5,6,7} */\n/* [MS-XLSB] 2.5.97.93 + 2.5.97.9{4,5,6,7} */\nfunction parse_SerAr(blob, biff) {\n\tvar val = [blob.read_shift(1)];\n\tif(biff == 12) switch(val[0]) {\n\t\tcase 0x02: val[0] = 0x04; break; /* SerBool */\n\t\tcase 0x04: val[0] = 0x10; break; /* SerErr */\n\t\tcase 0x00: val[0] = 0x01; break; /* SerNum */\n\t\tcase 0x01: val[0] = 0x02; break; /* SerStr */\n\t}\n\tswitch(val[0]) {\n\t\tcase 0x04: /* SerBool -- boolean */\n\t\t\tval[1] = parsebool(blob, 1) ? 'TRUE' : 'FALSE';\n\t\t\tif(biff != 12) blob.l += 7; break;\n\t\tcase 0x25: /* appears to be an alias */\n\t\tcase 0x10: /* SerErr -- error */\n\t\t\tval[1] = BErr[blob[blob.l]];\n\t\t\tblob.l += ((biff == 12) ? 4 : 8); break;\n\t\tcase 0x00: /* SerNil -- honestly, I'm not sure how to reproduce this */\n\t\t\tblob.l += 8; break;\n\t\tcase 0x01: /* SerNum -- Xnum */\n\t\t\tval[1] = parse_Xnum(blob, 8); break;\n\t\tcase 0x02: /* SerStr -- XLUnicodeString (<256 chars) */\n\t\t\tval[1] = parse_XLUnicodeString2(blob, 0, {biff:biff > 0 && biff < 8 ? 2 : biff}); break;\n\t\tdefault: throw new Error(\"Bad SerAr: \" + val[0]); /* Unreachable */\n\t}\n\treturn val;\n}\n\n/* [MS-XLS] 2.5.198.61 ; [MS-XLSB] 2.5.97.44 */\nfunction parse_PtgExtraMem(blob, cce, opts) {\n\tvar count = blob.read_shift((opts.biff == 12) ? 4 : 2);\n\tvar out = [];\n\tfor(var i = 0; i != count; ++i) out.push(((opts.biff == 12) ? parse_UncheckedRfX : parse_Ref8U)(blob, 8));\n\treturn out;\n}\n\n/* [MS-XLS] 2.5.198.59 ; [MS-XLSB] 2.5.97.41 */\nfunction parse_PtgExtraArray(blob, length, opts) {\n\tvar rows = 0, cols = 0;\n\tif(opts.biff == 12) {\n\t\trows = blob.read_shift(4); // DRw\n\t\tcols = blob.read_shift(4); // DCol\n\t} else {\n\t\tcols = 1 + blob.read_shift(1); //DColByteU\n\t\trows = 1 + blob.read_shift(2); //DRw\n\t}\n\tif(opts.biff >= 2 && opts.biff < 8) { --rows; if(--cols == 0) cols = 0x100; }\n\t// $FlowIgnore\n\tfor(var i = 0, o = []; i != rows && (o[i] = []); ++i)\n\t\tfor(var j = 0; j != cols; ++j) o[i][j] = parse_SerAr(blob, opts.biff);\n\treturn o;\n}\n\n/* [MS-XLS] 2.5.198.76 ; [MS-XLSB] 2.5.97.60 */\nfunction parse_PtgName(blob, length, opts) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar w = (!opts || (opts.biff >= 8)) ? 4 : 2;\n\tvar nameindex = blob.read_shift(w);\n\tswitch(opts.biff) {\n\t\tcase 2: blob.l += 5; break;\n\t\tcase 3: case 4: blob.l += 8; break;\n\t\tcase 5: blob.l += 12; break;\n\t}\n\treturn [type, 0, nameindex];\n}\n\n/* [MS-XLS] 2.5.198.77 ; [MS-XLSB] 2.5.97.61 */\nfunction parse_PtgNameX(blob, length, opts) {\n\tif(opts.biff == 5) return parse_PtgNameX_BIFF5(blob, length, opts);\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar ixti = blob.read_shift(2); // XtiIndex\n\tvar nameindex = blob.read_shift(4);\n\treturn [type, ixti, nameindex];\n}\nfunction parse_PtgNameX_BIFF5(blob) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar ixti = blob.read_shift(2, 'i'); // XtiIndex\n\tblob.l += 8;\n\tvar nameindex = blob.read_shift(2);\n\tblob.l += 12;\n\treturn [type, ixti, nameindex];\n}\n\n/* [MS-XLS] 2.5.198.70 ; [MS-XLSB] 2.5.97.54 */\nfunction parse_PtgMemArea(blob, length, opts) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tblob.l += (opts && opts.biff == 2 ? 3 : 4);\n\tvar cce = blob.read_shift(opts && opts.biff == 2 ? 1 : 2);\n\treturn [type, cce];\n}\n\n/* [MS-XLS] 2.5.198.72 ; [MS-XLSB] 2.5.97.56 */\nfunction parse_PtgMemFunc(blob, length, opts) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar cce = blob.read_shift(opts && opts.biff == 2 ? 1 : 2);\n\treturn [type, cce];\n}\n\n\n/* [MS-XLS] 2.5.198.86 ; [MS-XLSB] 2.5.97.69 */\nfunction parse_PtgRefErr(blob, length, opts) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tblob.l += 4;\n\tif(opts.biff < 8) blob.l--;\n\tif(opts.biff == 12) blob.l += 2;\n\treturn [type];\n}\n\n/* [MS-XLS] 2.5.198.87 ; [MS-XLSB] 2.5.97.71 */\nfunction parse_PtgRefErr3d(blob, length, opts) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar ixti = blob.read_shift(2);\n\tvar w = 4;\n\tif(opts) switch(opts.biff) {\n\t\tcase 5: w = 15; break;\n\t\tcase 12: w = 6; break;\n\t}\n\tblob.l += w;\n\treturn [type, ixti];\n}\n\n/* [MS-XLS] 2.5.198.71 ; [MS-XLSB] 2.5.97.55 */\nvar parse_PtgMemErr = parsenoop;\n/* [MS-XLS] 2.5.198.73 ; [MS-XLSB] 2.5.97.57 */\nvar parse_PtgMemNoMem = parsenoop;\n/* [MS-XLS] 2.5.198.92 */\nvar parse_PtgTbl = parsenoop;\n\nfunction parse_PtgElfLoc(blob, length, opts) {\n\tblob.l += 2;\n\treturn [parse_RgceElfLoc(blob, 4, opts)];\n}\nfunction parse_PtgElfNoop(blob) {\n\tblob.l += 6;\n\treturn [];\n}\n/* [MS-XLS] 2.5.198.46 */\nvar parse_PtgElfCol = parse_PtgElfLoc;\n/* [MS-XLS] 2.5.198.47 */\nvar parse_PtgElfColS = parse_PtgElfNoop;\n/* [MS-XLS] 2.5.198.48 */\nvar parse_PtgElfColSV = parse_PtgElfNoop;\n/* [MS-XLS] 2.5.198.49 */\nvar parse_PtgElfColV = parse_PtgElfLoc;\n/* [MS-XLS] 2.5.198.50 */\nfunction parse_PtgElfLel(blob) {\n\tblob.l += 2;\n\treturn [parseuint16(blob), blob.read_shift(2) & 0x01];\n}\n/* [MS-XLS] 2.5.198.51 */\nvar parse_PtgElfRadical = parse_PtgElfLoc;\n/* [MS-XLS] 2.5.198.52 */\nvar parse_PtgElfRadicalLel = parse_PtgElfLel;\n/* [MS-XLS] 2.5.198.53 */\nvar parse_PtgElfRadicalS = parse_PtgElfNoop;\n/* [MS-XLS] 2.5.198.54 */\nvar parse_PtgElfRw = parse_PtgElfLoc;\n/* [MS-XLS] 2.5.198.55 */\nvar parse_PtgElfRwV = parse_PtgElfLoc;\n\n/* [MS-XLSB] 2.5.97.52 TODO */\nvar PtgListRT = [\n\t\"Data\",\n\t\"All\",\n\t\"Headers\",\n\t\"??\",\n\t\"?Data2\",\n\t\"??\",\n\t\"?DataHeaders\",\n\t\"??\",\n\t\"Totals\",\n\t\"??\",\n\t\"??\",\n\t\"??\",\n\t\"?DataTotals\",\n\t\"??\",\n\t\"??\",\n\t\"??\",\n\t\"?Current\"\n];\nfunction parse_PtgList(blob) {\n\tblob.l += 2;\n\tvar ixti = blob.read_shift(2);\n\tvar flags = blob.read_shift(2);\n\tvar idx = blob.read_shift(4);\n\tvar c = blob.read_shift(2);\n\tvar C = blob.read_shift(2);\n\tvar rt = PtgListRT[(flags >> 2) & 0x1F];\n\treturn {ixti: ixti, coltype:(flags&0x3), rt:rt, idx:idx, c:c, C:C};\n}\n/* [MS-XLS] 2.5.198.91 ; [MS-XLSB] 2.5.97.76 */\nfunction parse_PtgSxName(blob) {\n\tblob.l += 2;\n\treturn [blob.read_shift(4)];\n}\n\n/* [XLS] old spec */\nfunction parse_PtgSheet(blob, length, opts) {\n\tblob.l += 5;\n\tblob.l += 2;\n\tblob.l += (opts.biff == 2 ? 1 : 4);\n\treturn [\"PTGSHEET\"];\n}\nfunction parse_PtgEndSheet(blob, length, opts) {\n\tblob.l += (opts.biff == 2 ? 4 : 5);\n\treturn [\"PTGENDSHEET\"];\n}\nfunction parse_PtgMemAreaN(blob) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar cce = blob.read_shift(2);\n\treturn [type, cce];\n}\nfunction parse_PtgMemNoMemN(blob) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar cce = blob.read_shift(2);\n\treturn [type, cce];\n}\nfunction parse_PtgAttrNoop(blob) {\n\tblob.l += 4;\n\treturn [0, 0];\n}\n\n/* [MS-XLS] 2.5.198.25 ; [MS-XLSB] 2.5.97.16 */\nvar PtgTypes = {\n0x01: { n:'PtgExp', f:parse_PtgExp },\n0x02: { n:'PtgTbl', f:parse_PtgTbl },\n0x03: { n:'PtgAdd', f:parseread1 },\n0x04: { n:'PtgSub', f:parseread1 },\n0x05: { n:'PtgMul', f:parseread1 },\n0x06: { n:'PtgDiv', f:parseread1 },\n0x07: { n:'PtgPower', f:parseread1 },\n0x08: { n:'PtgConcat', f:parseread1 },\n0x09: { n:'PtgLt', f:parseread1 },\n0x0A: { n:'PtgLe', f:parseread1 },\n0x0B: { n:'PtgEq', f:parseread1 },\n0x0C: { n:'PtgGe', f:parseread1 },\n0x0D: { n:'PtgGt', f:parseread1 },\n0x0E: { n:'PtgNe', f:parseread1 },\n0x0F: { n:'PtgIsect', f:parseread1 },\n0x10: { n:'PtgUnion', f:parseread1 },\n0x11: { n:'PtgRange', f:parseread1 },\n0x12: { n:'PtgUplus', f:parseread1 },\n0x13: { n:'PtgUminus', f:parseread1 },\n0x14: { n:'PtgPercent', f:parseread1 },\n0x15: { n:'PtgParen', f:parseread1 },\n0x16: { n:'PtgMissArg', f:parseread1 },\n0x17: { n:'PtgStr', f:parse_PtgStr },\n0x1A: { n:'PtgSheet', f:parse_PtgSheet },\n0x1B: { n:'PtgEndSheet', f:parse_PtgEndSheet },\n0x1C: { n:'PtgErr', f:parse_PtgErr },\n0x1D: { n:'PtgBool', f:parse_PtgBool },\n0x1E: { n:'PtgInt', f:parse_PtgInt },\n0x1F: { n:'PtgNum', f:parse_PtgNum },\n0x20: { n:'PtgArray', f:parse_PtgArray },\n0x21: { n:'PtgFunc', f:parse_PtgFunc },\n0x22: { n:'PtgFuncVar', f:parse_PtgFuncVar },\n0x23: { n:'PtgName', f:parse_PtgName },\n0x24: { n:'PtgRef', f:parse_PtgRef },\n0x25: { n:'PtgArea', f:parse_PtgArea },\n0x26: { n:'PtgMemArea', f:parse_PtgMemArea },\n0x27: { n:'PtgMemErr', f:parse_PtgMemErr },\n0x28: { n:'PtgMemNoMem', f:parse_PtgMemNoMem },\n0x29: { n:'PtgMemFunc', f:parse_PtgMemFunc },\n0x2A: { n:'PtgRefErr', f:parse_PtgRefErr },\n0x2B: { n:'PtgAreaErr', f:parse_PtgAreaErr },\n0x2C: { n:'PtgRefN', f:parse_PtgRefN },\n0x2D: { n:'PtgAreaN', f:parse_PtgAreaN },\n0x2E: { n:'PtgMemAreaN', f:parse_PtgMemAreaN },\n0x2F: { n:'PtgMemNoMemN', f:parse_PtgMemNoMemN },\n0x39: { n:'PtgNameX', f:parse_PtgNameX },\n0x3A: { n:'PtgRef3d', f:parse_PtgRef3d },\n0x3B: { n:'PtgArea3d', f:parse_PtgArea3d },\n0x3C: { n:'PtgRefErr3d', f:parse_PtgRefErr3d },\n0x3D: { n:'PtgAreaErr3d', f:parse_PtgAreaErr3d },\n0xFF: {}\n};\n/* These are duplicated in the PtgTypes table */\nvar PtgDupes = {\n0x40: 0x20, 0x60: 0x20,\n0x41: 0x21, 0x61: 0x21,\n0x42: 0x22, 0x62: 0x22,\n0x43: 0x23, 0x63: 0x23,\n0x44: 0x24, 0x64: 0x24,\n0x45: 0x25, 0x65: 0x25,\n0x46: 0x26, 0x66: 0x26,\n0x47: 0x27, 0x67: 0x27,\n0x48: 0x28, 0x68: 0x28,\n0x49: 0x29, 0x69: 0x29,\n0x4A: 0x2A, 0x6A: 0x2A,\n0x4B: 0x2B, 0x6B: 0x2B,\n0x4C: 0x2C, 0x6C: 0x2C,\n0x4D: 0x2D, 0x6D: 0x2D,\n0x4E: 0x2E, 0x6E: 0x2E,\n0x4F: 0x2F, 0x6F: 0x2F,\n0x58: 0x22, 0x78: 0x22,\n0x59: 0x39, 0x79: 0x39,\n0x5A: 0x3A, 0x7A: 0x3A,\n0x5B: 0x3B, 0x7B: 0x3B,\n0x5C: 0x3C, 0x7C: 0x3C,\n0x5D: 0x3D, 0x7D: 0x3D\n};\n(function(){for(var y in PtgDupes) PtgTypes[y] = PtgTypes[PtgDupes[y]];})();\n\nvar Ptg18 = {\n0x01: { n:'PtgElfLel', f:parse_PtgElfLel },\n0x02: { n:'PtgElfRw', f:parse_PtgElfRw },\n0x03: { n:'PtgElfCol', f:parse_PtgElfCol },\n0x06: { n:'PtgElfRwV', f:parse_PtgElfRwV },\n0x07: { n:'PtgElfColV', f:parse_PtgElfColV },\n0x0A: { n:'PtgElfRadical', f:parse_PtgElfRadical },\n0x0B: { n:'PtgElfRadicalS', f:parse_PtgElfRadicalS },\n0x0D: { n:'PtgElfColS', f:parse_PtgElfColS },\n0x0F: { n:'PtgElfColSV', f:parse_PtgElfColSV },\n0x10: { n:'PtgElfRadicalLel', f:parse_PtgElfRadicalLel },\n0x19: { n:'PtgList', f:parse_PtgList },\n0x1D: { n:'PtgSxName', f:parse_PtgSxName },\n0xFF: {}\n};\nvar Ptg19 = {\n0x00: { n:'PtgAttrNoop', f:parse_PtgAttrNoop },\n0x01: { n:'PtgAttrSemi', f:parse_PtgAttrSemi },\n0x02: { n:'PtgAttrIf', f:parse_PtgAttrIf },\n0x04: { n:'PtgAttrChoose', f:parse_PtgAttrChoose },\n0x08: { n:'PtgAttrGoto', f:parse_PtgAttrGoto },\n0x10: { n:'PtgAttrSum', f:parse_PtgAttrSum },\n0x20: { n:'PtgAttrBaxcel', f:parse_PtgAttrBaxcel },\n0x40: { n:'PtgAttrSpace', f:parse_PtgAttrSpace },\n0x41: { n:'PtgAttrSpaceSemi', f:parse_PtgAttrSpaceSemi },\n0x80: { n:'PtgAttrIfError', f:parse_PtgAttrIfError },\n0xFF: {}\n};\nPtg19[0x21] = Ptg19[0x20];\n\n/* [MS-XLS] 2.5.198.103 ; [MS-XLSB] 2.5.97.87 */\nfunction parse_RgbExtra(blob, length, rgce, opts) {\n\tif(opts.biff < 8) return parsenoop(blob, length);\n\tvar target = blob.l + length;\n\tvar o = [];\n\tfor(var i = 0; i !== rgce.length; ++i) {\n\t\tswitch(rgce[i][0]) {\n\t\t\tcase 'PtgArray': /* PtgArray -> PtgExtraArray */\n\t\t\t\trgce[i][1] = parse_PtgExtraArray(blob, 0, opts);\n\t\t\t\to.push(rgce[i][1]);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgMemArea': /* PtgMemArea -> PtgExtraMem */\n\t\t\t\trgce[i][2] = parse_PtgExtraMem(blob, rgce[i][1], opts);\n\t\t\t\to.push(rgce[i][2]);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgExp': /* PtgExp -> PtgExtraCol */\n\t\t\t\tif(opts && opts.biff == 12) {\n\t\t\t\t\trgce[i][1][1] = blob.read_shift(4);\n\t\t\t\t\to.push(rgce[i][1]);\n\t\t\t\t} break;\n\t\t\tcase 'PtgList': /* TODO: PtgList -> PtgExtraList */\n\t\t\tcase 'PtgElfRadicalS': /* TODO: PtgElfRadicalS -> PtgExtraElf */\n\t\t\tcase 'PtgElfColS': /* TODO: PtgElfColS -> PtgExtraElf */\n\t\t\tcase 'PtgElfColSV': /* TODO: PtgElfColSV -> PtgExtraElf */\n\t\t\t\tthrow \"Unsupported \" + rgce[i][0];\n\t\t\tdefault: break;\n\t\t}\n\t}\n\tlength = target - blob.l;\n\t/* note: this is technically an error but Excel disregards */\n\t//if(target !== blob.l && blob.l !== target - length) throw new Error(target + \" != \" + blob.l);\n\tif(length !== 0) o.push(parsenoop(blob, length));\n\treturn o;\n}\n\n/* [MS-XLS] 2.5.198.104 ; [MS-XLSB] 2.5.97.88 */\nfunction parse_Rgce(blob, length, opts) {\n\tvar target = blob.l + length;\n\tvar R, id, ptgs = [];\n\twhile(target != blob.l) {\n\t\tlength = target - blob.l;\n\t\tid = blob[blob.l];\n\t\tR = PtgTypes[id];\n\t\tif(id === 0x18 || id === 0x19) R = (id === 0x18 ? Ptg18 : Ptg19)[blob[blob.l + 1]];\n\t\tif(!R || !R.f) { /*ptgs.push*/(parsenoop(blob, length)); }\n\t\telse { ptgs.push([R.n, R.f(blob, length, opts)]); }\n\t}\n\treturn ptgs;\n}\n\nfunction stringify_array(f) {\n\tvar o = [];\n\tfor(var i = 0; i < f.length; ++i) {\n\t\tvar x = f[i], r = [];\n\t\tfor(var j = 0; j < x.length; ++j) {\n\t\t\tvar y = x[j];\n\t\t\tif(y) switch(y[0]) {\n\t\t\t\t// TODO: handle embedded quotes\n\t\t\t\tcase 0x02:\nr.push('\"' + y[1].replace(/\"/g,'\"\"') + '\"'); break;\n\t\t\t\tdefault: r.push(y[1]);\n\t\t\t} else r.push(\"\");\n\t\t}\n\t\to.push(r.join(\",\"));\n\t}\n\treturn o.join(\";\");\n}\n\n/* [MS-XLS] 2.2.2 ; [MS-XLSB] 2.2.2 TODO */\nvar PtgBinOp = {\n\tPtgAdd: \"+\",\n\tPtgConcat: \"&\",\n\tPtgDiv: \"/\",\n\tPtgEq: \"=\",\n\tPtgGe: \">=\",\n\tPtgGt: \">\",\n\tPtgLe: \"<=\",\n\tPtgLt: \"<\",\n\tPtgMul: \"*\",\n\tPtgNe: \"<>\",\n\tPtgPower: \"^\",\n\tPtgSub: \"-\"\n};\n\n// List of invalid characters needs to be tested further\nvar quoteCharacters = new RegExp(/[^\\w\\u4E00-\\u9FFF\\u3040-\\u30FF]/);\nfunction formula_quote_sheet_name(sname, opts) {\n\tif(!sname && !(opts && opts.biff <= 5 && opts.biff >= 2)) throw new Error(\"empty sheet name\");\n\tif (quoteCharacters.test(sname)) return \"'\" + sname + \"'\";\n\treturn sname;\n}\nfunction get_ixti_raw(supbooks, ixti, opts) {\n\tif(!supbooks) return \"SH33TJSERR0\";\n\tif(opts.biff > 8 && (!supbooks.XTI || !supbooks.XTI[ixti])) return supbooks.SheetNames[ixti];\n\tif(!supbooks.XTI) return \"SH33TJSERR6\";\n\tvar XTI = supbooks.XTI[ixti];\n\tif(opts.biff < 8) {\n\t\tif(ixti > 10000) ixti-= 65536;\n\t\tif(ixti < 0) ixti = -ixti;\n\t\treturn ixti == 0 ? \"\" : supbooks.XTI[ixti - 1];\n\t}\n\tif(!XTI) return \"SH33TJSERR1\";\n\tvar o = \"\";\n\tif(opts.biff > 8) switch(supbooks[XTI[0]][0]) {\n\t\tcase 0x0165: /* 'BrtSupSelf' */\n\t\t\to = XTI[1] == -1 ? \"#REF\" : supbooks.SheetNames[XTI[1]];\n\t\t\treturn XTI[1] == XTI[2] ? o : o + \":\" + supbooks.SheetNames[XTI[2]];\n\t\tcase 0x0166: /* 'BrtSupSame' */\n\t\t\tif(opts.SID != null) return supbooks.SheetNames[opts.SID];\n\t\t\treturn \"SH33TJSSAME\" + supbooks[XTI[0]][0];\n\t\tcase 0x0163: /* 'BrtSupBookSrc' */\n\t\t\t/* falls through */\n\t\tdefault: return \"SH33TJSSRC\" + supbooks[XTI[0]][0];\n\t}\n\tswitch(supbooks[XTI[0]][0][0]) {\n\t\tcase 0x0401:\n\t\t\to = XTI[1] == -1 ? \"#REF\" : (supbooks.SheetNames[XTI[1]] || \"SH33TJSERR3\");\n\t\t\treturn XTI[1] == XTI[2] ? o : o + \":\" + supbooks.SheetNames[XTI[2]];\n\t\tcase 0x3A01: return supbooks[XTI[0]].slice(1).map(function(name) { return name.Name; }).join(\";;\"); //return \"SH33TJSERR8\";\n\t\tdefault:\n\t\t\tif(!supbooks[XTI[0]][0][3]) return \"SH33TJSERR2\";\n\t\t\to = XTI[1] == -1 ? \"#REF\" : (supbooks[XTI[0]][0][3][XTI[1]] || \"SH33TJSERR4\");\n\t\t\treturn XTI[1] == XTI[2] ? o : o + \":\" + supbooks[XTI[0]][0][3][XTI[2]];\n\t}\n}\nfunction get_ixti(supbooks, ixti, opts) {\n\treturn formula_quote_sheet_name(get_ixti_raw(supbooks, ixti, opts), opts);\n}\nfunction stringify_formula(formula/*Array*/, range, cell, supbooks, opts) {\n\tvar biff = (opts && opts.biff) || 8;\n\tvar _range = /*range != null ? range :*/ {s:{c:0, r:0},e:{c:0, r:0}};\n\tvar stack = [], e1, e2, c, ixti=0, nameidx=0, r, sname=\"\";\n\tif(!formula[0] || !formula[0][0]) return \"\";\n\tvar last_sp = -1, sp = \"\";\n\tfor(var ff = 0, fflen = formula[0].length; ff < fflen; ++ff) {\n\t\tvar f = formula[0][ff];\n\t\tswitch(f[0]) {\n\t\t\tcase 'PtgUminus': /* [MS-XLS] 2.5.198.93 */\n\t\t\t\tstack.push(\"-\" + stack.pop()); break;\n\t\t\tcase 'PtgUplus': /* [MS-XLS] 2.5.198.95 */\n\t\t\t\tstack.push(\"+\" + stack.pop()); break;\n\t\t\tcase 'PtgPercent': /* [MS-XLS] 2.5.198.81 */\n\t\t\t\tstack.push(stack.pop() + \"%\"); break;\n\n\t\t\tcase 'PtgAdd': /* [MS-XLS] 2.5.198.26 */\n\t\t\tcase 'PtgConcat': /* [MS-XLS] 2.5.198.43 */\n\t\t\tcase 'PtgDiv': /* [MS-XLS] 2.5.198.45 */\n\t\t\tcase 'PtgEq': /* [MS-XLS] 2.5.198.56 */\n\t\t\tcase 'PtgGe': /* [MS-XLS] 2.5.198.64 */\n\t\t\tcase 'PtgGt': /* [MS-XLS] 2.5.198.65 */\n\t\t\tcase 'PtgLe': /* [MS-XLS] 2.5.198.68 */\n\t\t\tcase 'PtgLt': /* [MS-XLS] 2.5.198.69 */\n\t\t\tcase 'PtgMul': /* [MS-XLS] 2.5.198.75 */\n\t\t\tcase 'PtgNe': /* [MS-XLS] 2.5.198.78 */\n\t\t\tcase 'PtgPower': /* [MS-XLS] 2.5.198.82 */\n\t\t\tcase 'PtgSub': /* [MS-XLS] 2.5.198.90 */\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tif(last_sp >= 0) {\n\t\t\t\t\tswitch(formula[0][last_sp][1][0]) {\n\t\t\t\t\t\tcase 0:\n\t\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\t\tsp = fill(\" \", formula[0][last_sp][1][1]); break;\n\t\t\t\t\t\tcase 1:\n\t\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\t\tsp = fill(\"\\r\", formula[0][last_sp][1][1]); break;\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tsp = \"\";\n\t\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\t\tif(opts.WTF) throw new Error(\"Unexpected PtgAttrSpaceType \" + formula[0][last_sp][1][0]);\n\t\t\t\t\t}\n\t\t\t\t\te2 = e2 + sp;\n\t\t\t\t\tlast_sp = -1;\n\t\t\t\t}\n\t\t\t\tstack.push(e2+PtgBinOp[f[0]]+e1);\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgIsect': /* [MS-XLS] 2.5.198.67 */\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\" \"+e1);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgUnion': /* [MS-XLS] 2.5.198.94 */\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\",\"+e1);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgRange': /* [MS-XLS] 2.5.198.83 */\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\":\"+e1);\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgAttrChoose': /* [MS-XLS] 2.5.198.34 */\n\t\t\t\tbreak;\n\t\t\tcase 'PtgAttrGoto': /* [MS-XLS] 2.5.198.35 */\n\t\t\t\tbreak;\n\t\t\tcase 'PtgAttrIf': /* [MS-XLS] 2.5.198.36 */\n\t\t\t\tbreak;\n\t\t\tcase 'PtgAttrIfError': /* [MS-XLSB] 2.5.97.28 */\n\t\t\t\tbreak;\n\n\n\t\t\tcase 'PtgRef': /* [MS-XLS] 2.5.198.84 */\nc = shift_cell_xls((f[1][1]), _range, opts);\n\t\t\t\tstack.push(encode_cell_xls(c, biff));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgRefN': /* [MS-XLS] 2.5.198.88 */\nc = cell ? shift_cell_xls((f[1][1]), cell, opts) : (f[1][1]);\n\t\t\t\tstack.push(encode_cell_xls(c, biff));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgRef3d': /* [MS-XLS] 2.5.198.85 */\nixti = f[1][1]; c = shift_cell_xls((f[1][2]), _range, opts);\n\t\t\t\tsname = get_ixti(supbooks, ixti, opts);\n\t\t\t\tvar w = sname; /* IE9 fails on defined names */ // eslint-disable-line no-unused-vars\n\t\t\t\tstack.push(sname + \"!\" + encode_cell_xls(c, biff));\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgFunc': /* [MS-XLS] 2.5.198.62 */\n\t\t\tcase 'PtgFuncVar': /* [MS-XLS] 2.5.198.63 */\n\t\t\t\t/* f[1] = [argc, func, type] */\n\t\t\t\tvar argc = (f[1][0]), func = (f[1][1]);\n\t\t\t\tif(!argc) argc = 0;\n\t\t\t\targc &= 0x7F;\n\t\t\t\tvar args = argc == 0 ? [] : stack.slice(-argc);\n\t\t\t\tstack.length -= argc;\n\t\t\t\tif(func === 'User') func = args.shift();\n\t\t\t\tstack.push(func + \"(\" + args.join(\",\") + \")\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgBool': /* [MS-XLS] 2.5.198.42 */\n\t\t\t\tstack.push(f[1] ? \"TRUE\" : \"FALSE\"); break;\n\t\t\tcase 'PtgInt': /* [MS-XLS] 2.5.198.66 */\n\t\t\t\tstack.push(f[1]); break;\n\t\t\tcase 'PtgNum': /* [MS-XLS] 2.5.198.79 TODO: precision? */\n\t\t\t\tstack.push(String(f[1])); break;\n\t\t\tcase 'PtgStr': /* [MS-XLS] 2.5.198.89 */\n\t\t\t\t// $FlowIgnore\n\t\t\t\tstack.push('\"' + f[1].replace(/\"/g, '\"\"') + '\"'); break;\n\t\t\tcase 'PtgErr': /* [MS-XLS] 2.5.198.57 */\n\t\t\t\tstack.push(f[1]); break;\n\t\t\tcase 'PtgAreaN': /* [MS-XLS] 2.5.198.31 TODO */\nr = shift_range_xls(f[1][1], cell ? {s:cell} : _range, opts);\n\t\t\t\tstack.push(encode_range_xls((r), opts));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgArea': /* [MS-XLS] 2.5.198.27 TODO: fixed points */\nr = shift_range_xls(f[1][1], _range, opts);\n\t\t\t\tstack.push(encode_range_xls((r), opts));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgArea3d': /* [MS-XLS] 2.5.198.28 TODO */\nixti = f[1][1]; r = f[1][2];\n\t\t\t\tsname = get_ixti(supbooks, ixti, opts);\n\t\t\t\tstack.push(sname + \"!\" + encode_range_xls((r), opts));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgAttrSum': /* [MS-XLS] 2.5.198.41 */\n\t\t\t\tstack.push(\"SUM(\" + stack.pop() + \")\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgAttrBaxcel': /* [MS-XLS] 2.5.198.33 */\n\t\t\tcase 'PtgAttrSemi': /* [MS-XLS] 2.5.198.37 */\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgName': /* [MS-XLS] 2.5.198.76 ; [MS-XLSB] 2.5.97.60 TODO: revisions */\n\t\t\t\t/* f[1] = type, 0, nameindex */\n\t\t\t\tnameidx = (f[1][2]);\n\t\t\t\tvar lbl = (supbooks.names||[])[nameidx-1] || (supbooks[0]||[])[nameidx];\n\t\t\t\tvar name = lbl ? lbl.Name : \"SH33TJSNAME\" + String(nameidx);\n\t\t\t\tif(name in XLSXFutureFunctions) name = XLSXFutureFunctions[name];\n\t\t\t\tstack.push(name);\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgNameX': /* [MS-XLS] 2.5.198.77 ; [MS-XLSB] 2.5.97.61 TODO: revisions */\n\t\t\t\t/* f[1] = type, ixti, nameindex */\n\t\t\t\tvar bookidx = (f[1][1]); nameidx = (f[1][2]); var externbook;\n\t\t\t\t/* TODO: Properly handle missing values -- this should be using get_ixti_raw primarily */\n\t\t\t\tif(opts.biff <= 5) {\n\t\t\t\t\tif(bookidx < 0) bookidx = -bookidx;\n\t\t\t\t\tif(supbooks[bookidx]) externbook = supbooks[bookidx][nameidx];\n\t\t\t\t} else {\n\t\t\t\t\tvar o = \"\";\n\t\t\t\t\tif(((supbooks[bookidx]||[])[0]||[])[0] == 0x3A01){/* empty */}\n\t\t\t\t\telse if(((supbooks[bookidx]||[])[0]||[])[0] == 0x0401){\n\t\t\t\t\t\tif(supbooks[bookidx][nameidx] && supbooks[bookidx][nameidx].itab > 0) {\n\t\t\t\t\t\t\to = supbooks.SheetNames[supbooks[bookidx][nameidx].itab-1] + \"!\";\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse o = supbooks.SheetNames[nameidx-1]+ \"!\";\n\t\t\t\t\tif(supbooks[bookidx] && supbooks[bookidx][nameidx]) o += supbooks[bookidx][nameidx].Name;\n\t\t\t\t\telse if(supbooks[0] && supbooks[0][nameidx]) o += supbooks[0][nameidx].Name;\n\t\t\t\t\telse {\n\t\t\t\t\t\tvar ixtidata = get_ixti_raw(supbooks, bookidx, opts).split(\";;\");\n\t\t\t\t\t\tif(ixtidata[nameidx - 1]) o = ixtidata[nameidx - 1]; // TODO: confirm this is correct\n\t\t\t\t\t\telse o += \"SH33TJSERRX\";\n\t\t\t\t\t}\n\t\t\t\t\tstack.push(o);\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(!externbook) externbook = {Name: \"SH33TJSERRY\"};\n\t\t\t\tstack.push(externbook.Name);\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgParen': /* [MS-XLS] 2.5.198.80 */\n\t\t\t\tvar lp = '(', rp = ')';\n\t\t\t\tif(last_sp >= 0) {\n\t\t\t\t\tsp = \"\";\n\t\t\t\t\tswitch(formula[0][last_sp][1][0]) {\n\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\tcase 2: lp = fill(\" \", formula[0][last_sp][1][1]) + lp; break;\n\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\tcase 3: lp = fill(\"\\r\", formula[0][last_sp][1][1]) + lp; break;\n\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\tcase 4: rp = fill(\" \", formula[0][last_sp][1][1]) + rp; break;\n\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\tcase 5: rp = fill(\"\\r\", formula[0][last_sp][1][1]) + rp; break;\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\t\t\tif(opts.WTF) throw new Error(\"Unexpected PtgAttrSpaceType \" + formula[0][last_sp][1][0]);\n\t\t\t\t\t}\n\t\t\t\t\tlast_sp = -1;\n\t\t\t\t}\n\t\t\t\tstack.push(lp + stack.pop() + rp); break;\n\n\t\t\tcase 'PtgRefErr': /* [MS-XLS] 2.5.198.86 */\n\t\t\t\tstack.push('#REF!'); break;\n\n\t\t\tcase 'PtgRefErr3d': /* [MS-XLS] 2.5.198.87 */\n\t\t\t\tstack.push('#REF!'); break;\n\n\t\t\tcase 'PtgExp': /* [MS-XLS] 2.5.198.58 TODO */\n\t\t\t\tc = {c:(f[1][1]),r:(f[1][0])};\n\t\t\t\tvar q = ({c: cell.c, r:cell.r});\n\t\t\t\tif(supbooks.sharedf[encode_cell(c)]) {\n\t\t\t\t\tvar parsedf = (supbooks.sharedf[encode_cell(c)]);\n\t\t\t\t\tstack.push(stringify_formula(parsedf, _range, q, supbooks, opts));\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tvar fnd = false;\n\t\t\t\t\tfor(e1=0;e1!=supbooks.arrayf.length; ++e1) {\n\t\t\t\t\t\t/* TODO: should be something like range_has */\n\t\t\t\t\t\te2 = supbooks.arrayf[e1];\n\t\t\t\t\t\tif(c.c < e2[0].s.c || c.c > e2[0].e.c) continue;\n\t\t\t\t\t\tif(c.r < e2[0].s.r || c.r > e2[0].e.r) continue;\n\t\t\t\t\t\tstack.push(stringify_formula(e2[1], _range, q, supbooks, opts));\n\t\t\t\t\t\tfnd = true;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t\tif(!fnd) stack.push(f[1]);\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgArray': /* [MS-XLS] 2.5.198.32 TODO */\n\t\t\t\tstack.push(\"{\" + stringify_array(f[1]) + \"}\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgMemArea': /* [MS-XLS] 2.5.198.70 TODO: confirm this is a non-display */\n\t\t\t\t//stack.push(\"(\" + f[2].map(encode_range).join(\",\") + \")\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgAttrSpace': /* [MS-XLS] 2.5.198.38 */\n\t\t\tcase 'PtgAttrSpaceSemi': /* [MS-XLS] 2.5.198.39 */\n\t\t\t\tlast_sp = ff;\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgTbl': /* [MS-XLS] 2.5.198.92 TODO */\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgMemErr': /* [MS-XLS] 2.5.198.71 */\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgMissArg': /* [MS-XLS] 2.5.198.74 */\n\t\t\t\tstack.push(\"\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgAreaErr': /* [MS-XLS] 2.5.198.29 */\n\t\t\t\tstack.push(\"#REF!\"); break;\n\n\t\t\tcase 'PtgAreaErr3d': /* [MS-XLS] 2.5.198.30 */\n\t\t\t\tstack.push(\"#REF!\"); break;\n\n\t\t\tcase 'PtgList': /* [MS-XLSB] 2.5.97.52 */\n\t\t\t\t// $FlowIgnore\n\t\t\t\tstack.push(\"Table\" + f[1].idx + \"[#\" + f[1].rt + \"]\");\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgMemAreaN':\n\t\t\tcase 'PtgMemNoMemN':\n\t\t\tcase 'PtgAttrNoop':\n\t\t\tcase 'PtgSheet':\n\t\t\tcase 'PtgEndSheet':\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgMemFunc': /* [MS-XLS] 2.5.198.72 TODO */\n\t\t\t\tbreak;\n\t\t\tcase 'PtgMemNoMem': /* [MS-XLS] 2.5.198.73 TODO */\n\t\t\t\tbreak;\n\n\t\t\tcase 'PtgElfCol': /* [MS-XLS] 2.5.198.46 */\n\t\t\tcase 'PtgElfColS': /* [MS-XLS] 2.5.198.47 */\n\t\t\tcase 'PtgElfColSV': /* [MS-XLS] 2.5.198.48 */\n\t\t\tcase 'PtgElfColV': /* [MS-XLS] 2.5.198.49 */\n\t\t\tcase 'PtgElfLel': /* [MS-XLS] 2.5.198.50 */\n\t\t\tcase 'PtgElfRadical': /* [MS-XLS] 2.5.198.51 */\n\t\t\tcase 'PtgElfRadicalLel': /* [MS-XLS] 2.5.198.52 */\n\t\t\tcase 'PtgElfRadicalS': /* [MS-XLS] 2.5.198.53 */\n\t\t\tcase 'PtgElfRw': /* [MS-XLS] 2.5.198.54 */\n\t\t\tcase 'PtgElfRwV': /* [MS-XLS] 2.5.198.55 */\n\t\t\t\tthrow new Error(\"Unsupported ELFs\");\n\n\t\t\tcase 'PtgSxName': /* [MS-XLS] 2.5.198.91 TODO -- find a test case */\n\t\t\t\tthrow new Error('Unrecognized Formula Token: ' + String(f));\n\t\t\tdefault: throw new Error('Unrecognized Formula Token: ' + String(f));\n\t\t}\n\t\tvar PtgNonDisp = ['PtgAttrSpace', 'PtgAttrSpaceSemi', 'PtgAttrGoto'];\n\t\tif(opts.biff != 3) if(last_sp >= 0 && PtgNonDisp.indexOf(formula[0][ff][0]) == -1) {\n\t\t\tf = formula[0][last_sp];\n\t\t\tvar _left = true;\n\t\t\tswitch(f[1][0]) {\n\t\t\t\t/* note: some bad XLSB files omit the PtgParen */\n\t\t\t\tcase 4: _left = false;\n\t\t\t\t/* falls through */\n\t\t\t\tcase 0:\n\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\tsp = fill(\" \", f[1][1]); break;\n\t\t\t\tcase 5: _left = false;\n\t\t\t\t/* falls through */\n\t\t\t\tcase 1:\n\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\tsp = fill(\"\\r\", f[1][1]); break;\n\t\t\t\tdefault:\n\t\t\t\t\tsp = \"\";\n\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\tif(opts.WTF) throw new Error(\"Unexpected PtgAttrSpaceType \" + f[1][0]);\n\t\t\t}\n\t\t\tstack.push((_left ? sp : \"\") + stack.pop() + (_left ? \"\" : sp));\n\t\t\tlast_sp = -1;\n\t\t}\n\t}\n\tif(stack.length > 1 && opts.WTF) throw new Error(\"bad formula stack\");\n\treturn stack[0];\n}\n\n/* [MS-XLS] 2.5.198.1 TODO */\nfunction parse_ArrayParsedFormula(blob, length, opts) {\n\tvar target = blob.l + length, len = opts.biff == 2 ? 1 : 2;\n\tvar rgcb, cce = blob.read_shift(len); // length of rgce\n\tif(cce == 0xFFFF) return [[],parsenoop(blob, length-2)];\n\tvar rgce = parse_Rgce(blob, cce, opts);\n\tif(length !== cce + len) rgcb = parse_RgbExtra(blob, length - cce - len, rgce, opts);\n\tblob.l = target;\n\treturn [rgce, rgcb];\n}\n\n/* [MS-XLS] 2.5.198.3 TODO */\nfunction parse_XLSCellParsedFormula(blob, length, opts) {\n\tvar target = blob.l + length, len = opts.biff == 2 ? 1 : 2;\n\tvar rgcb, cce = blob.read_shift(len); // length of rgce\n\tif(cce == 0xFFFF) return [[],parsenoop(blob, length-2)];\n\tvar rgce = parse_Rgce(blob, cce, opts);\n\tif(length !== cce + len) rgcb = parse_RgbExtra(blob, length - cce - len, rgce, opts);\n\tblob.l = target;\n\treturn [rgce, rgcb];\n}\n\n/* [MS-XLS] 2.5.198.21 */\nfunction parse_NameParsedFormula(blob, length, opts, cce) {\n\tvar target = blob.l + length;\n\tvar rgce = parse_Rgce(blob, cce, opts);\n\tvar rgcb;\n\tif(target !== blob.l) rgcb = parse_RgbExtra(blob, target - blob.l, rgce, opts);\n\treturn [rgce, rgcb];\n}\n\n/* [MS-XLS] 2.5.198.118 TODO */\nfunction parse_SharedParsedFormula(blob, length, opts) {\n\tvar target = blob.l + length;\n\tvar rgcb, cce = blob.read_shift(2); // length of rgce\n\tvar rgce = parse_Rgce(blob, cce, opts);\n\tif(cce == 0xFFFF) return [[],parsenoop(blob, length-2)];\n\tif(length !== cce + 2) rgcb = parse_RgbExtra(blob, target - cce - 2, rgce, opts);\n\treturn [rgce, rgcb];\n}\n\n/* [MS-XLS] 2.5.133 TODO: how to emit empty strings? */\nfunction parse_FormulaValue(blob) {\n\tvar b;\n\tif(__readUInt16LE(blob,blob.l + 6) !== 0xFFFF) return [parse_Xnum(blob),'n'];\n\tswitch(blob[blob.l]) {\n\t\tcase 0x00: blob.l += 8; return [\"String\", 's'];\n\t\tcase 0x01: b = blob[blob.l+2] === 0x1; blob.l += 8; return [b,'b'];\n\t\tcase 0x02: b = blob[blob.l+2]; blob.l += 8; return [b,'e'];\n\t\tcase 0x03: blob.l += 8; return [\"\",'s'];\n\t}\n\treturn [];\n}\nfunction write_FormulaValue(value) {\n\tif(value == null) {\n\t\t// Blank String Value\n\t\tvar o = new_buf(8);\n\t\to.write_shift(1, 0x03);\n\t\to.write_shift(1, 0);\n\t\to.write_shift(2, 0);\n\t\to.write_shift(2, 0);\n\t\to.write_shift(2, 0xFFFF);\n\t\treturn o;\n\t} else if(typeof value == \"number\") return write_Xnum(value);\n\treturn write_Xnum(0);\n}\n\n/* [MS-XLS] 2.4.127 TODO */\nfunction parse_Formula(blob, length, opts) {\n\tvar end = blob.l + length;\n\tvar cell = parse_XLSCell(blob, 6);\n\tif(opts.biff == 2) ++blob.l;\n\tvar val = parse_FormulaValue(blob,8);\n\tvar flags = blob.read_shift(1);\n\tif(opts.biff != 2) {\n\t\tblob.read_shift(1);\n\t\tif(opts.biff >= 5) {\n\t\t\t/*var chn = */blob.read_shift(4);\n\t\t}\n\t}\n\tvar cbf = parse_XLSCellParsedFormula(blob, end - blob.l, opts);\n\treturn {cell:cell, val:val[0], formula:cbf, shared: (flags >> 3) & 1, tt:val[1]};\n}\nfunction write_Formula(cell, R, C, opts, os) {\n\t// Cell\n\tvar o1 = write_XLSCell(R, C, os);\n\n\t// FormulaValue\n\tvar o2 = write_FormulaValue(cell.v);\n\n\t// flags + cache\n\tvar o3 = new_buf(6);\n\tvar flags = 0x01 | 0x20;\n\to3.write_shift(2, flags);\n\to3.write_shift(4, 0);\n\n\t// CellParsedFormula\n\tvar bf = new_buf(cell.bf.length);\n\tfor(var i = 0; i < cell.bf.length; ++i) bf[i] = cell.bf[i];\n\n\tvar out = bconcat([o1, o2, o3, bf]);\n\treturn out;\n}\n\n\n/* XLSB Parsed Formula records have the same shape */\nfunction parse_XLSBParsedFormula(data, length, opts) {\n\tvar cce = data.read_shift(4);\n\tvar rgce = parse_Rgce(data, cce, opts);\n\tvar cb = data.read_shift(4);\n\tvar rgcb = cb > 0 ? parse_RgbExtra(data, cb, rgce, opts) : null;\n\treturn [rgce, rgcb];\n}\n\n/* [MS-XLSB] 2.5.97.1 ArrayParsedFormula */\nvar parse_XLSBArrayParsedFormula = parse_XLSBParsedFormula;\n/* [MS-XLSB] 2.5.97.4 CellParsedFormula */\nvar parse_XLSBCellParsedFormula = parse_XLSBParsedFormula;\n/* [MS-XLSB] 2.5.97.8 DVParsedFormula */\n//var parse_XLSBDVParsedFormula = parse_XLSBParsedFormula;\n/* [MS-XLSB] 2.5.97.9 FRTParsedFormula */\n//var parse_XLSBFRTParsedFormula = parse_XLSBParsedFormula2;\n/* [MS-XLSB] 2.5.97.12 NameParsedFormula */\nvar parse_XLSBNameParsedFormula = parse_XLSBParsedFormula;\n/* [MS-XLSB] 2.5.97.98 SharedParsedFormula */\nvar parse_XLSBSharedParsedFormula = parse_XLSBParsedFormula;\n/* [MS-XLS] 2.5.198.4 */\nvar Cetab = {\n0x0000: 'BEEP',\n0x0001: 'OPEN',\n0x0002: 'OPEN.LINKS',\n0x0003: 'CLOSE.ALL',\n0x0004: 'SAVE',\n0x0005: 'SAVE.AS',\n0x0006: 'FILE.DELETE',\n0x0007: 'PAGE.SETUP',\n0x0008: 'PRINT',\n0x0009: 'PRINTER.SETUP',\n0x000A: 'QUIT',\n0x000B: 'NEW.WINDOW',\n0x000C: 'ARRANGE.ALL',\n0x000D: 'WINDOW.SIZE',\n0x000E: 'WINDOW.MOVE',\n0x000F: 'FULL',\n0x0010: 'CLOSE',\n0x0011: 'RUN',\n0x0016: 'SET.PRINT.AREA',\n0x0017: 'SET.PRINT.TITLES',\n0x0018: 'SET.PAGE.BREAK',\n0x0019: 'REMOVE.PAGE.BREAK',\n0x001A: 'FONT',\n0x001B: 'DISPLAY',\n0x001C: 'PROTECT.DOCUMENT',\n0x001D: 'PRECISION',\n0x001E: 'A1.R1C1',\n0x001F: 'CALCULATE.NOW',\n0x0020: 'CALCULATION',\n0x0022: 'DATA.FIND',\n0x0023: 'EXTRACT',\n0x0024: 'DATA.DELETE',\n0x0025: 'SET.DATABASE',\n0x0026: 'SET.CRITERIA',\n0x0027: 'SORT',\n0x0028: 'DATA.SERIES',\n0x0029: 'TABLE',\n0x002A: 'FORMAT.NUMBER',\n0x002B: 'ALIGNMENT',\n0x002C: 'STYLE',\n0x002D: 'BORDER',\n0x002E: 'CELL.PROTECTION',\n0x002F: 'COLUMN.WIDTH',\n0x0030: 'UNDO',\n0x0031: 'CUT',\n0x0032: 'COPY',\n0x0033: 'PASTE',\n0x0034: 'CLEAR',\n0x0035: 'PASTE.SPECIAL',\n0x0036: 'EDIT.DELETE',\n0x0037: 'INSERT',\n0x0038: 'FILL.RIGHT',\n0x0039: 'FILL.DOWN',\n0x003D: 'DEFINE.NAME',\n0x003E: 'CREATE.NAMES',\n0x003F: 'FORMULA.GOTO',\n0x0040: 'FORMULA.FIND',\n0x0041: 'SELECT.LAST.CELL',\n0x0042: 'SHOW.ACTIVE.CELL',\n0x0043: 'GALLERY.AREA',\n0x0044: 'GALLERY.BAR',\n0x0045: 'GALLERY.COLUMN',\n0x0046: 'GALLERY.LINE',\n0x0047: 'GALLERY.PIE',\n0x0048: 'GALLERY.SCATTER',\n0x0049: 'COMBINATION',\n0x004A: 'PREFERRED',\n0x004B: 'ADD.OVERLAY',\n0x004C: 'GRIDLINES',\n0x004D: 'SET.PREFERRED',\n0x004E: 'AXES',\n0x004F: 'LEGEND',\n0x0050: 'ATTACH.TEXT',\n0x0051: 'ADD.ARROW',\n0x0052: 'SELECT.CHART',\n0x0053: 'SELECT.PLOT.AREA',\n0x0054: 'PATTERNS',\n0x0055: 'MAIN.CHART',\n0x0056: 'OVERLAY',\n0x0057: 'SCALE',\n0x0058: 'FORMAT.LEGEND',\n0x0059: 'FORMAT.TEXT',\n0x005A: 'EDIT.REPEAT',\n0x005B: 'PARSE',\n0x005C: 'JUSTIFY',\n0x005D: 'HIDE',\n0x005E: 'UNHIDE',\n0x005F: 'WORKSPACE',\n0x0060: 'FORMULA',\n0x0061: 'FORMULA.FILL',\n0x0062: 'FORMULA.ARRAY',\n0x0063: 'DATA.FIND.NEXT',\n0x0064: 'DATA.FIND.PREV',\n0x0065: 'FORMULA.FIND.NEXT',\n0x0066: 'FORMULA.FIND.PREV',\n0x0067: 'ACTIVATE',\n0x0068: 'ACTIVATE.NEXT',\n0x0069: 'ACTIVATE.PREV',\n0x006A: 'UNLOCKED.NEXT',\n0x006B: 'UNLOCKED.PREV',\n0x006C: 'COPY.PICTURE',\n0x006D: 'SELECT',\n0x006E: 'DELETE.NAME',\n0x006F: 'DELETE.FORMAT',\n0x0070: 'VLINE',\n0x0071: 'HLINE',\n0x0072: 'VPAGE',\n0x0073: 'HPAGE',\n0x0074: 'VSCROLL',\n0x0075: 'HSCROLL',\n0x0076: 'ALERT',\n0x0077: 'NEW',\n0x0078: 'CANCEL.COPY',\n0x0079: 'SHOW.CLIPBOARD',\n0x007A: 'MESSAGE',\n0x007C: 'PASTE.LINK',\n0x007D: 'APP.ACTIVATE',\n0x007E: 'DELETE.ARROW',\n0x007F: 'ROW.HEIGHT',\n0x0080: 'FORMAT.MOVE',\n0x0081: 'FORMAT.SIZE',\n0x0082: 'FORMULA.REPLACE',\n0x0083: 'SEND.KEYS',\n0x0084: 'SELECT.SPECIAL',\n0x0085: 'APPLY.NAMES',\n0x0086: 'REPLACE.FONT',\n0x0087: 'FREEZE.PANES',\n0x0088: 'SHOW.INFO',\n0x0089: 'SPLIT',\n0x008A: 'ON.WINDOW',\n0x008B: 'ON.DATA',\n0x008C: 'DISABLE.INPUT',\n0x008E: 'OUTLINE',\n0x008F: 'LIST.NAMES',\n0x0090: 'FILE.CLOSE',\n0x0091: 'SAVE.WORKBOOK',\n0x0092: 'DATA.FORM',\n0x0093: 'COPY.CHART',\n0x0094: 'ON.TIME',\n0x0095: 'WAIT',\n0x0096: 'FORMAT.FONT',\n0x0097: 'FILL.UP',\n0x0098: 'FILL.LEFT',\n0x0099: 'DELETE.OVERLAY',\n0x009B: 'SHORT.MENUS',\n0x009F: 'SET.UPDATE.STATUS',\n0x00A1: 'COLOR.PALETTE',\n0x00A2: 'DELETE.STYLE',\n0x00A3: 'WINDOW.RESTORE',\n0x00A4: 'WINDOW.MAXIMIZE',\n0x00A6: 'CHANGE.LINK',\n0x00A7: 'CALCULATE.DOCUMENT',\n0x00A8: 'ON.KEY',\n0x00A9: 'APP.RESTORE',\n0x00AA: 'APP.MOVE',\n0x00AB: 'APP.SIZE',\n0x00AC: 'APP.MINIMIZE',\n0x00AD: 'APP.MAXIMIZE',\n0x00AE: 'BRING.TO.FRONT',\n0x00AF: 'SEND.TO.BACK',\n0x00B9: 'MAIN.CHART.TYPE',\n0x00BA: 'OVERLAY.CHART.TYPE',\n0x00BB: 'SELECT.END',\n0x00BC: 'OPEN.MAIL',\n0x00BD: 'SEND.MAIL',\n0x00BE: 'STANDARD.FONT',\n0x00BF: 'CONSOLIDATE',\n0x00C0: 'SORT.SPECIAL',\n0x00C1: 'GALLERY.3D.AREA',\n0x00C2: 'GALLERY.3D.COLUMN',\n0x00C3: 'GALLERY.3D.LINE',\n0x00C4: 'GALLERY.3D.PIE',\n0x00C5: 'VIEW.3D',\n0x00C6: 'GOAL.SEEK',\n0x00C7: 'WORKGROUP',\n0x00C8: 'FILL.GROUP',\n0x00C9: 'UPDATE.LINK',\n0x00CA: 'PROMOTE',\n0x00CB: 'DEMOTE',\n0x00CC: 'SHOW.DETAIL',\n0x00CE: 'UNGROUP',\n0x00CF: 'OBJECT.PROPERTIES',\n0x00D0: 'SAVE.NEW.OBJECT',\n0x00D1: 'SHARE',\n0x00D2: 'SHARE.NAME',\n0x00D3: 'DUPLICATE',\n0x00D4: 'APPLY.STYLE',\n0x00D5: 'ASSIGN.TO.OBJECT',\n0x00D6: 'OBJECT.PROTECTION',\n0x00D7: 'HIDE.OBJECT',\n0x00D8: 'SET.EXTRACT',\n0x00D9: 'CREATE.PUBLISHER',\n0x00DA: 'SUBSCRIBE.TO',\n0x00DB: 'ATTRIBUTES',\n0x00DC: 'SHOW.TOOLBAR',\n0x00DE: 'PRINT.PREVIEW',\n0x00DF: 'EDIT.COLOR',\n0x00E0: 'SHOW.LEVELS',\n0x00E1: 'FORMAT.MAIN',\n0x00E2: 'FORMAT.OVERLAY',\n0x00E3: 'ON.RECALC',\n0x00E4: 'EDIT.SERIES',\n0x00E5: 'DEFINE.STYLE',\n0x00F0: 'LINE.PRINT',\n0x00F3: 'ENTER.DATA',\n0x00F9: 'GALLERY.RADAR',\n0x00FA: 'MERGE.STYLES',\n0x00FB: 'EDITION.OPTIONS',\n0x00FC: 'PASTE.PICTURE',\n0x00FD: 'PASTE.PICTURE.LINK',\n0x00FE: 'SPELLING',\n0x0100: 'ZOOM',\n0x0103: 'INSERT.OBJECT',\n0x0104: 'WINDOW.MINIMIZE',\n0x0109: 'SOUND.NOTE',\n0x010A: 'SOUND.PLAY',\n0x010B: 'FORMAT.SHAPE',\n0x010C: 'EXTEND.POLYGON',\n0x010D: 'FORMAT.AUTO',\n0x0110: 'GALLERY.3D.BAR',\n0x0111: 'GALLERY.3D.SURFACE',\n0x0112: 'FILL.AUTO',\n0x0114: 'CUSTOMIZE.TOOLBAR',\n0x0115: 'ADD.TOOL',\n0x0116: 'EDIT.OBJECT',\n0x0117: 'ON.DOUBLECLICK',\n0x0118: 'ON.ENTRY',\n0x0119: 'WORKBOOK.ADD',\n0x011A: 'WORKBOOK.MOVE',\n0x011B: 'WORKBOOK.COPY',\n0x011C: 'WORKBOOK.OPTIONS',\n0x011D: 'SAVE.WORKSPACE',\n0x0120: 'CHART.WIZARD',\n0x0121: 'DELETE.TOOL',\n0x0122: 'MOVE.TOOL',\n0x0123: 'WORKBOOK.SELECT',\n0x0124: 'WORKBOOK.ACTIVATE',\n0x0125: 'ASSIGN.TO.TOOL',\n0x0127: 'COPY.TOOL',\n0x0128: 'RESET.TOOL',\n0x0129: 'CONSTRAIN.NUMERIC',\n0x012A: 'PASTE.TOOL',\n0x012E: 'WORKBOOK.NEW',\n0x0131: 'SCENARIO.CELLS',\n0x0132: 'SCENARIO.DELETE',\n0x0133: 'SCENARIO.ADD',\n0x0134: 'SCENARIO.EDIT',\n0x0135: 'SCENARIO.SHOW',\n0x0136: 'SCENARIO.SHOW.NEXT',\n0x0137: 'SCENARIO.SUMMARY',\n0x0138: 'PIVOT.TABLE.WIZARD',\n0x0139: 'PIVOT.FIELD.PROPERTIES',\n0x013A: 'PIVOT.FIELD',\n0x013B: 'PIVOT.ITEM',\n0x013C: 'PIVOT.ADD.FIELDS',\n0x013E: 'OPTIONS.CALCULATION',\n0x013F: 'OPTIONS.EDIT',\n0x0140: 'OPTIONS.VIEW',\n0x0141: 'ADDIN.MANAGER',\n0x0142: 'MENU.EDITOR',\n0x0143: 'ATTACH.TOOLBARS',\n0x0144: 'VBAActivate',\n0x0145: 'OPTIONS.CHART',\n0x0148: 'VBA.INSERT.FILE',\n0x014A: 'VBA.PROCEDURE.DEFINITION',\n0x0150: 'ROUTING.SLIP',\n0x0152: 'ROUTE.DOCUMENT',\n0x0153: 'MAIL.LOGON',\n0x0156: 'INSERT.PICTURE',\n0x0157: 'EDIT.TOOL',\n0x0158: 'GALLERY.DOUGHNUT',\n0x015E: 'CHART.TREND',\n0x0160: 'PIVOT.ITEM.PROPERTIES',\n0x0162: 'WORKBOOK.INSERT',\n0x0163: 'OPTIONS.TRANSITION',\n0x0164: 'OPTIONS.GENERAL',\n0x0172: 'FILTER.ADVANCED',\n0x0175: 'MAIL.ADD.MAILER',\n0x0176: 'MAIL.DELETE.MAILER',\n0x0177: 'MAIL.REPLY',\n0x0178: 'MAIL.REPLY.ALL',\n0x0179: 'MAIL.FORWARD',\n0x017A: 'MAIL.NEXT.LETTER',\n0x017B: 'DATA.LABEL',\n0x017C: 'INSERT.TITLE',\n0x017D: 'FONT.PROPERTIES',\n0x017E: 'MACRO.OPTIONS',\n0x017F: 'WORKBOOK.HIDE',\n0x0180: 'WORKBOOK.UNHIDE',\n0x0181: 'WORKBOOK.DELETE',\n0x0182: 'WORKBOOK.NAME',\n0x0184: 'GALLERY.CUSTOM',\n0x0186: 'ADD.CHART.AUTOFORMAT',\n0x0187: 'DELETE.CHART.AUTOFORMAT',\n0x0188: 'CHART.ADD.DATA',\n0x0189: 'AUTO.OUTLINE',\n0x018A: 'TAB.ORDER',\n0x018B: 'SHOW.DIALOG',\n0x018C: 'SELECT.ALL',\n0x018D: 'UNGROUP.SHEETS',\n0x018E: 'SUBTOTAL.CREATE',\n0x018F: 'SUBTOTAL.REMOVE',\n0x0190: 'RENAME.OBJECT',\n0x019C: 'WORKBOOK.SCROLL',\n0x019D: 'WORKBOOK.NEXT',\n0x019E: 'WORKBOOK.PREV',\n0x019F: 'WORKBOOK.TAB.SPLIT',\n0x01A0: 'FULL.SCREEN',\n0x01A1: 'WORKBOOK.PROTECT',\n0x01A4: 'SCROLLBAR.PROPERTIES',\n0x01A5: 'PIVOT.SHOW.PAGES',\n0x01A6: 'TEXT.TO.COLUMNS',\n0x01A7: 'FORMAT.CHARTTYPE',\n0x01A8: 'LINK.FORMAT',\n0x01A9: 'TRACER.DISPLAY',\n0x01AE: 'TRACER.NAVIGATE',\n0x01AF: 'TRACER.CLEAR',\n0x01B0: 'TRACER.ERROR',\n0x01B1: 'PIVOT.FIELD.GROUP',\n0x01B2: 'PIVOT.FIELD.UNGROUP',\n0x01B3: 'CHECKBOX.PROPERTIES',\n0x01B4: 'LABEL.PROPERTIES',\n0x01B5: 'LISTBOX.PROPERTIES',\n0x01B6: 'EDITBOX.PROPERTIES',\n0x01B7: 'PIVOT.REFRESH',\n0x01B8: 'LINK.COMBO',\n0x01B9: 'OPEN.TEXT',\n0x01BA: 'HIDE.DIALOG',\n0x01BB: 'SET.DIALOG.FOCUS',\n0x01BC: 'ENABLE.OBJECT',\n0x01BD: 'PUSHBUTTON.PROPERTIES',\n0x01BE: 'SET.DIALOG.DEFAULT',\n0x01BF: 'FILTER',\n0x01C0: 'FILTER.SHOW.ALL',\n0x01C1: 'CLEAR.OUTLINE',\n0x01C2: 'FUNCTION.WIZARD',\n0x01C3: 'ADD.LIST.ITEM',\n0x01C4: 'SET.LIST.ITEM',\n0x01C5: 'REMOVE.LIST.ITEM',\n0x01C6: 'SELECT.LIST.ITEM',\n0x01C7: 'SET.CONTROL.VALUE',\n0x01C8: 'SAVE.COPY.AS',\n0x01CA: 'OPTIONS.LISTS.ADD',\n0x01CB: 'OPTIONS.LISTS.DELETE',\n0x01CC: 'SERIES.AXES',\n0x01CD: 'SERIES.X',\n0x01CE: 'SERIES.Y',\n0x01CF: 'ERRORBAR.X',\n0x01D0: 'ERRORBAR.Y',\n0x01D1: 'FORMAT.CHART',\n0x01D2: 'SERIES.ORDER',\n0x01D3: 'MAIL.LOGOFF',\n0x01D4: 'CLEAR.ROUTING.SLIP',\n0x01D5: 'APP.ACTIVATE.MICROSOFT',\n0x01D6: 'MAIL.EDIT.MAILER',\n0x01D7: 'ON.SHEET',\n0x01D8: 'STANDARD.WIDTH',\n0x01D9: 'SCENARIO.MERGE',\n0x01DA: 'SUMMARY.INFO',\n0x01DB: 'FIND.FILE',\n0x01DC: 'ACTIVE.CELL.FONT',\n0x01DD: 'ENABLE.TIPWIZARD',\n0x01DE: 'VBA.MAKE.ADDIN',\n0x01E0: 'INSERTDATATABLE',\n0x01E1: 'WORKGROUP.OPTIONS',\n0x01E2: 'MAIL.SEND.MAILER',\n0x01E5: 'AUTOCORRECT',\n0x01E9: 'POST.DOCUMENT',\n0x01EB: 'PICKLIST',\n0x01ED: 'VIEW.SHOW',\n0x01EE: 'VIEW.DEFINE',\n0x01EF: 'VIEW.DELETE',\n0x01FD: 'SHEET.BACKGROUND',\n0x01FE: 'INSERT.MAP.OBJECT',\n0x01FF: 'OPTIONS.MENONO',\n0x0205: 'MSOCHECKS',\n0x0206: 'NORMAL',\n0x0207: 'LAYOUT',\n0x0208: 'RM.PRINT.AREA',\n0x0209: 'CLEAR.PRINT.AREA',\n0x020A: 'ADD.PRINT.AREA',\n0x020B: 'MOVE.BRK',\n0x0221: 'HIDECURR.NOTE',\n0x0222: 'HIDEALL.NOTES',\n0x0223: 'DELETE.NOTE',\n0x0224: 'TRAVERSE.NOTES',\n0x0225: 'ACTIVATE.NOTES',\n0x026C: 'PROTECT.REVISIONS',\n0x026D: 'UNPROTECT.REVISIONS',\n0x0287: 'OPTIONS.ME',\n0x028D: 'WEB.PUBLISH',\n0x029B: 'NEWWEBQUERY',\n0x02A1: 'PIVOT.TABLE.CHART',\n0x02F1: 'OPTIONS.SAVE',\n0x02F3: 'OPTIONS.SPELL',\n0x0328: 'HIDEALL.INKANNOTS'\n};\n\n/* [MS-XLS] 2.5.198.17 */\n/* [MS-XLSB] 2.5.97.10 */\nvar Ftab = {\n0x0000: 'COUNT',\n0x0001: 'IF',\n0x0002: 'ISNA',\n0x0003: 'ISERROR',\n0x0004: 'SUM',\n0x0005: 'AVERAGE',\n0x0006: 'MIN',\n0x0007: 'MAX',\n0x0008: 'ROW',\n0x0009: 'COLUMN',\n0x000A: 'NA',\n0x000B: 'NPV',\n0x000C: 'STDEV',\n0x000D: 'DOLLAR',\n0x000E: 'FIXED',\n0x000F: 'SIN',\n0x0010: 'COS',\n0x0011: 'TAN',\n0x0012: 'ATAN',\n0x0013: 'PI',\n0x0014: 'SQRT',\n0x0015: 'EXP',\n0x0016: 'LN',\n0x0017: 'LOG10',\n0x0018: 'ABS',\n0x0019: 'INT',\n0x001A: 'SIGN',\n0x001B: 'ROUND',\n0x001C: 'LOOKUP',\n0x001D: 'INDEX',\n0x001E: 'REPT',\n0x001F: 'MID',\n0x0020: 'LEN',\n0x0021: 'VALUE',\n0x0022: 'TRUE',\n0x0023: 'FALSE',\n0x0024: 'AND',\n0x0025: 'OR',\n0x0026: 'NOT',\n0x0027: 'MOD',\n0x0028: 'DCOUNT',\n0x0029: 'DSUM',\n0x002A: 'DAVERAGE',\n0x002B: 'DMIN',\n0x002C: 'DMAX',\n0x002D: 'DSTDEV',\n0x002E: 'VAR',\n0x002F: 'DVAR',\n0x0030: 'TEXT',\n0x0031: 'LINEST',\n0x0032: 'TREND',\n0x0033: 'LOGEST',\n0x0034: 'GROWTH',\n0x0035: 'GOTO',\n0x0036: 'HALT',\n0x0037: 'RETURN',\n0x0038: 'PV',\n0x0039: 'FV',\n0x003A: 'NPER',\n0x003B: 'PMT',\n0x003C: 'RATE',\n0x003D: 'MIRR',\n0x003E: 'IRR',\n0x003F: 'RAND',\n0x0040: 'MATCH',\n0x0041: 'DATE',\n0x0042: 'TIME',\n0x0043: 'DAY',\n0x0044: 'MONTH',\n0x0045: 'YEAR',\n0x0046: 'WEEKDAY',\n0x0047: 'HOUR',\n0x0048: 'MINUTE',\n0x0049: 'SECOND',\n0x004A: 'NOW',\n0x004B: 'AREAS',\n0x004C: 'ROWS',\n0x004D: 'COLUMNS',\n0x004E: 'OFFSET',\n0x004F: 'ABSREF',\n0x0050: 'RELREF',\n0x0051: 'ARGUMENT',\n0x0052: 'SEARCH',\n0x0053: 'TRANSPOSE',\n0x0054: 'ERROR',\n0x0055: 'STEP',\n0x0056: 'TYPE',\n0x0057: 'ECHO',\n0x0058: 'SET.NAME',\n0x0059: 'CALLER',\n0x005A: 'DEREF',\n0x005B: 'WINDOWS',\n0x005C: 'SERIES',\n0x005D: 'DOCUMENTS',\n0x005E: 'ACTIVE.CELL',\n0x005F: 'SELECTION',\n0x0060: 'RESULT',\n0x0061: 'ATAN2',\n0x0062: 'ASIN',\n0x0063: 'ACOS',\n0x0064: 'CHOOSE',\n0x0065: 'HLOOKUP',\n0x0066: 'VLOOKUP',\n0x0067: 'LINKS',\n0x0068: 'INPUT',\n0x0069: 'ISREF',\n0x006A: 'GET.FORMULA',\n0x006B: 'GET.NAME',\n0x006C: 'SET.VALUE',\n0x006D: 'LOG',\n0x006E: 'EXEC',\n0x006F: 'CHAR',\n0x0070: 'LOWER',\n0x0071: 'UPPER',\n0x0072: 'PROPER',\n0x0073: 'LEFT',\n0x0074: 'RIGHT',\n0x0075: 'EXACT',\n0x0076: 'TRIM',\n0x0077: 'REPLACE',\n0x0078: 'SUBSTITUTE',\n0x0079: 'CODE',\n0x007A: 'NAMES',\n0x007B: 'DIRECTORY',\n0x007C: 'FIND',\n0x007D: 'CELL',\n0x007E: 'ISERR',\n0x007F: 'ISTEXT',\n0x0080: 'ISNUMBER',\n0x0081: 'ISBLANK',\n0x0082: 'T',\n0x0083: 'N',\n0x0084: 'FOPEN',\n0x0085: 'FCLOSE',\n0x0086: 'FSIZE',\n0x0087: 'FREADLN',\n0x0088: 'FREAD',\n0x0089: 'FWRITELN',\n0x008A: 'FWRITE',\n0x008B: 'FPOS',\n0x008C: 'DATEVALUE',\n0x008D: 'TIMEVALUE',\n0x008E: 'SLN',\n0x008F: 'SYD',\n0x0090: 'DDB',\n0x0091: 'GET.DEF',\n0x0092: 'REFTEXT',\n0x0093: 'TEXTREF',\n0x0094: 'INDIRECT',\n0x0095: 'REGISTER',\n0x0096: 'CALL',\n0x0097: 'ADD.BAR',\n0x0098: 'ADD.MENU',\n0x0099: 'ADD.COMMAND',\n0x009A: 'ENABLE.COMMAND',\n0x009B: 'CHECK.COMMAND',\n0x009C: 'RENAME.COMMAND',\n0x009D: 'SHOW.BAR',\n0x009E: 'DELETE.MENU',\n0x009F: 'DELETE.COMMAND',\n0x00A0: 'GET.CHART.ITEM',\n0x00A1: 'DIALOG.BOX',\n0x00A2: 'CLEAN',\n0x00A3: 'MDETERM',\n0x00A4: 'MINVERSE',\n0x00A5: 'MMULT',\n0x00A6: 'FILES',\n0x00A7: 'IPMT',\n0x00A8: 'PPMT',\n0x00A9: 'COUNTA',\n0x00AA: 'CANCEL.KEY',\n0x00AB: 'FOR',\n0x00AC: 'WHILE',\n0x00AD: 'BREAK',\n0x00AE: 'NEXT',\n0x00AF: 'INITIATE',\n0x00B0: 'REQUEST',\n0x00B1: 'POKE',\n0x00B2: 'EXECUTE',\n0x00B3: 'TERMINATE',\n0x00B4: 'RESTART',\n0x00B5: 'HELP',\n0x00B6: 'GET.BAR',\n0x00B7: 'PRODUCT',\n0x00B8: 'FACT',\n0x00B9: 'GET.CELL',\n0x00BA: 'GET.WORKSPACE',\n0x00BB: 'GET.WINDOW',\n0x00BC: 'GET.DOCUMENT',\n0x00BD: 'DPRODUCT',\n0x00BE: 'ISNONTEXT',\n0x00BF: 'GET.NOTE',\n0x00C0: 'NOTE',\n0x00C1: 'STDEVP',\n0x00C2: 'VARP',\n0x00C3: 'DSTDEVP',\n0x00C4: 'DVARP',\n0x00C5: 'TRUNC',\n0x00C6: 'ISLOGICAL',\n0x00C7: 'DCOUNTA',\n0x00C8: 'DELETE.BAR',\n0x00C9: 'UNREGISTER',\n0x00CC: 'USDOLLAR',\n0x00CD: 'FINDB',\n0x00CE: 'SEARCHB',\n0x00CF: 'REPLACEB',\n0x00D0: 'LEFTB',\n0x00D1: 'RIGHTB',\n0x00D2: 'MIDB',\n0x00D3: 'LENB',\n0x00D4: 'ROUNDUP',\n0x00D5: 'ROUNDDOWN',\n0x00D6: 'ASC',\n0x00D7: 'DBCS',\n0x00D8: 'RANK',\n0x00DB: 'ADDRESS',\n0x00DC: 'DAYS360',\n0x00DD: 'TODAY',\n0x00DE: 'VDB',\n0x00DF: 'ELSE',\n0x00E0: 'ELSE.IF',\n0x00E1: 'END.IF',\n0x00E2: 'FOR.CELL',\n0x00E3: 'MEDIAN',\n0x00E4: 'SUMPRODUCT',\n0x00E5: 'SINH',\n0x00E6: 'COSH',\n0x00E7: 'TANH',\n0x00E8: 'ASINH',\n0x00E9: 'ACOSH',\n0x00EA: 'ATANH',\n0x00EB: 'DGET',\n0x00EC: 'CREATE.OBJECT',\n0x00ED: 'VOLATILE',\n0x00EE: 'LAST.ERROR',\n0x00EF: 'CUSTOM.UNDO',\n0x00F0: 'CUSTOM.REPEAT',\n0x00F1: 'FORMULA.CONVERT',\n0x00F2: 'GET.LINK.INFO',\n0x00F3: 'TEXT.BOX',\n0x00F4: 'INFO',\n0x00F5: 'GROUP',\n0x00F6: 'GET.OBJECT',\n0x00F7: 'DB',\n0x00F8: 'PAUSE',\n0x00FB: 'RESUME',\n0x00FC: 'FREQUENCY',\n0x00FD: 'ADD.TOOLBAR',\n0x00FE: 'DELETE.TOOLBAR',\n0x00FF: 'User',\n0x0100: 'RESET.TOOLBAR',\n0x0101: 'EVALUATE',\n0x0102: 'GET.TOOLBAR',\n0x0103: 'GET.TOOL',\n0x0104: 'SPELLING.CHECK',\n0x0105: 'ERROR.TYPE',\n0x0106: 'APP.TITLE',\n0x0107: 'WINDOW.TITLE',\n0x0108: 'SAVE.TOOLBAR',\n0x0109: 'ENABLE.TOOL',\n0x010A: 'PRESS.TOOL',\n0x010B: 'REGISTER.ID',\n0x010C: 'GET.WORKBOOK',\n0x010D: 'AVEDEV',\n0x010E: 'BETADIST',\n0x010F: 'GAMMALN',\n0x0110: 'BETAINV',\n0x0111: 'BINOMDIST',\n0x0112: 'CHIDIST',\n0x0113: 'CHIINV',\n0x0114: 'COMBIN',\n0x0115: 'CONFIDENCE',\n0x0116: 'CRITBINOM',\n0x0117: 'EVEN',\n0x0118: 'EXPONDIST',\n0x0119: 'FDIST',\n0x011A: 'FINV',\n0x011B: 'FISHER',\n0x011C: 'FISHERINV',\n0x011D: 'FLOOR',\n0x011E: 'GAMMADIST',\n0x011F: 'GAMMAINV',\n0x0120: 'CEILING',\n0x0121: 'HYPGEOMDIST',\n0x0122: 'LOGNORMDIST',\n0x0123: 'LOGINV',\n0x0124: 'NEGBINOMDIST',\n0x0125: 'NORMDIST',\n0x0126: 'NORMSDIST',\n0x0127: 'NORMINV',\n0x0128: 'NORMSINV',\n0x0129: 'STANDARDIZE',\n0x012A: 'ODD',\n0x012B: 'PERMUT',\n0x012C: 'POISSON',\n0x012D: 'TDIST',\n0x012E: 'WEIBULL',\n0x012F: 'SUMXMY2',\n0x0130: 'SUMX2MY2',\n0x0131: 'SUMX2PY2',\n0x0132: 'CHITEST',\n0x0133: 'CORREL',\n0x0134: 'COVAR',\n0x0135: 'FORECAST',\n0x0136: 'FTEST',\n0x0137: 'INTERCEPT',\n0x0138: 'PEARSON',\n0x0139: 'RSQ',\n0x013A: 'STEYX',\n0x013B: 'SLOPE',\n0x013C: 'TTEST',\n0x013D: 'PROB',\n0x013E: 'DEVSQ',\n0x013F: 'GEOMEAN',\n0x0140: 'HARMEAN',\n0x0141: 'SUMSQ',\n0x0142: 'KURT',\n0x0143: 'SKEW',\n0x0144: 'ZTEST',\n0x0145: 'LARGE',\n0x0146: 'SMALL',\n0x0147: 'QUARTILE',\n0x0148: 'PERCENTILE',\n0x0149: 'PERCENTRANK',\n0x014A: 'MODE',\n0x014B: 'TRIMMEAN',\n0x014C: 'TINV',\n0x014E: 'MOVIE.COMMAND',\n0x014F: 'GET.MOVIE',\n0x0150: 'CONCATENATE',\n0x0151: 'POWER',\n0x0152: 'PIVOT.ADD.DATA',\n0x0153: 'GET.PIVOT.TABLE',\n0x0154: 'GET.PIVOT.FIELD',\n0x0155: 'GET.PIVOT.ITEM',\n0x0156: 'RADIANS',\n0x0157: 'DEGREES',\n0x0158: 'SUBTOTAL',\n0x0159: 'SUMIF',\n0x015A: 'COUNTIF',\n0x015B: 'COUNTBLANK',\n0x015C: 'SCENARIO.GET',\n0x015D: 'OPTIONS.LISTS.GET',\n0x015E: 'ISPMT',\n0x015F: 'DATEDIF',\n0x0160: 'DATESTRING',\n0x0161: 'NUMBERSTRING',\n0x0162: 'ROMAN',\n0x0163: 'OPEN.DIALOG',\n0x0164: 'SAVE.DIALOG',\n0x0165: 'VIEW.GET',\n0x0166: 'GETPIVOTDATA',\n0x0167: 'HYPERLINK',\n0x0168: 'PHONETIC',\n0x0169: 'AVERAGEA',\n0x016A: 'MAXA',\n0x016B: 'MINA',\n0x016C: 'STDEVPA',\n0x016D: 'VARPA',\n0x016E: 'STDEVA',\n0x016F: 'VARA',\n0x0170: 'BAHTTEXT',\n0x0171: 'THAIDAYOFWEEK',\n0x0172: 'THAIDIGIT',\n0x0173: 'THAIMONTHOFYEAR',\n0x0174: 'THAINUMSOUND',\n0x0175: 'THAINUMSTRING',\n0x0176: 'THAISTRINGLENGTH',\n0x0177: 'ISTHAIDIGIT',\n0x0178: 'ROUNDBAHTDOWN',\n0x0179: 'ROUNDBAHTUP',\n0x017A: 'THAIYEAR',\n0x017B: 'RTD',\n\n0x017C: 'CUBEVALUE',\n0x017D: 'CUBEMEMBER',\n0x017E: 'CUBEMEMBERPROPERTY',\n0x017F: 'CUBERANKEDMEMBER',\n0x0180: 'HEX2BIN',\n0x0181: 'HEX2DEC',\n0x0182: 'HEX2OCT',\n0x0183: 'DEC2BIN',\n0x0184: 'DEC2HEX',\n0x0185: 'DEC2OCT',\n0x0186: 'OCT2BIN',\n0x0187: 'OCT2HEX',\n0x0188: 'OCT2DEC',\n0x0189: 'BIN2DEC',\n0x018A: 'BIN2OCT',\n0x018B: 'BIN2HEX',\n0x018C: 'IMSUB',\n0x018D: 'IMDIV',\n0x018E: 'IMPOWER',\n0x018F: 'IMABS',\n0x0190: 'IMSQRT',\n0x0191: 'IMLN',\n0x0192: 'IMLOG2',\n0x0193: 'IMLOG10',\n0x0194: 'IMSIN',\n0x0195: 'IMCOS',\n0x0196: 'IMEXP',\n0x0197: 'IMARGUMENT',\n0x0198: 'IMCONJUGATE',\n0x0199: 'IMAGINARY',\n0x019A: 'IMREAL',\n0x019B: 'COMPLEX',\n0x019C: 'IMSUM',\n0x019D: 'IMPRODUCT',\n0x019E: 'SERIESSUM',\n0x019F: 'FACTDOUBLE',\n0x01A0: 'SQRTPI',\n0x01A1: 'QUOTIENT',\n0x01A2: 'DELTA',\n0x01A3: 'GESTEP',\n0x01A4: 'ISEVEN',\n0x01A5: 'ISODD',\n0x01A6: 'MROUND',\n0x01A7: 'ERF',\n0x01A8: 'ERFC',\n0x01A9: 'BESSELJ',\n0x01AA: 'BESSELK',\n0x01AB: 'BESSELY',\n0x01AC: 'BESSELI',\n0x01AD: 'XIRR',\n0x01AE: 'XNPV',\n0x01AF: 'PRICEMAT',\n0x01B0: 'YIELDMAT',\n0x01B1: 'INTRATE',\n0x01B2: 'RECEIVED',\n0x01B3: 'DISC',\n0x01B4: 'PRICEDISC',\n0x01B5: 'YIELDDISC',\n0x01B6: 'TBILLEQ',\n0x01B7: 'TBILLPRICE',\n0x01B8: 'TBILLYIELD',\n0x01B9: 'PRICE',\n0x01BA: 'YIELD',\n0x01BB: 'DOLLARDE',\n0x01BC: 'DOLLARFR',\n0x01BD: 'NOMINAL',\n0x01BE: 'EFFECT',\n0x01BF: 'CUMPRINC',\n0x01C0: 'CUMIPMT',\n0x01C1: 'EDATE',\n0x01C2: 'EOMONTH',\n0x01C3: 'YEARFRAC',\n0x01C4: 'COUPDAYBS',\n0x01C5: 'COUPDAYS',\n0x01C6: 'COUPDAYSNC',\n0x01C7: 'COUPNCD',\n0x01C8: 'COUPNUM',\n0x01C9: 'COUPPCD',\n0x01CA: 'DURATION',\n0x01CB: 'MDURATION',\n0x01CC: 'ODDLPRICE',\n0x01CD: 'ODDLYIELD',\n0x01CE: 'ODDFPRICE',\n0x01CF: 'ODDFYIELD',\n0x01D0: 'RANDBETWEEN',\n0x01D1: 'WEEKNUM',\n0x01D2: 'AMORDEGRC',\n0x01D3: 'AMORLINC',\n0x01D4: 'CONVERT',\n0x02D4: 'SHEETJS',\n0x01D5: 'ACCRINT',\n0x01D6: 'ACCRINTM',\n0x01D7: 'WORKDAY',\n0x01D8: 'NETWORKDAYS',\n0x01D9: 'GCD',\n0x01DA: 'MULTINOMIAL',\n0x01DB: 'LCM',\n0x01DC: 'FVSCHEDULE',\n0x01DD: 'CUBEKPIMEMBER',\n0x01DE: 'CUBESET',\n0x01DF: 'CUBESETCOUNT',\n0x01E0: 'IFERROR',\n0x01E1: 'COUNTIFS',\n0x01E2: 'SUMIFS',\n0x01E3: 'AVERAGEIF',\n0x01E4: 'AVERAGEIFS'\n};\nvar FtabArgc = {\n0x0002: 1, /* ISNA */\n0x0003: 1, /* ISERROR */\n0x000A: 0, /* NA */\n0x000F: 1, /* SIN */\n0x0010: 1, /* COS */\n0x0011: 1, /* TAN */\n0x0012: 1, /* ATAN */\n0x0013: 0, /* PI */\n0x0014: 1, /* SQRT */\n0x0015: 1, /* EXP */\n0x0016: 1, /* LN */\n0x0017: 1, /* LOG10 */\n0x0018: 1, /* ABS */\n0x0019: 1, /* INT */\n0x001A: 1, /* SIGN */\n0x001B: 2, /* ROUND */\n0x001E: 2, /* REPT */\n0x001F: 3, /* MID */\n0x0020: 1, /* LEN */\n0x0021: 1, /* VALUE */\n0x0022: 0, /* TRUE */\n0x0023: 0, /* FALSE */\n0x0026: 1, /* NOT */\n0x0027: 2, /* MOD */\n0x0028: 3, /* DCOUNT */\n0x0029: 3, /* DSUM */\n0x002A: 3, /* DAVERAGE */\n0x002B: 3, /* DMIN */\n0x002C: 3, /* DMAX */\n0x002D: 3, /* DSTDEV */\n0x002F: 3, /* DVAR */\n0x0030: 2, /* TEXT */\n0x0035: 1, /* GOTO */\n0x003D: 3, /* MIRR */\n0x003F: 0, /* RAND */\n0x0041: 3, /* DATE */\n0x0042: 3, /* TIME */\n0x0043: 1, /* DAY */\n0x0044: 1, /* MONTH */\n0x0045: 1, /* YEAR */\n0x0046: 1, /* WEEKDAY */\n0x0047: 1, /* HOUR */\n0x0048: 1, /* MINUTE */\n0x0049: 1, /* SECOND */\n0x004A: 0, /* NOW */\n0x004B: 1, /* AREAS */\n0x004C: 1, /* ROWS */\n0x004D: 1, /* COLUMNS */\n0x004F: 2, /* ABSREF */\n0x0050: 2, /* RELREF */\n0x0053: 1, /* TRANSPOSE */\n0x0055: 0, /* STEP */\n0x0056: 1, /* TYPE */\n0x0059: 0, /* CALLER */\n0x005A: 1, /* DEREF */\n0x005E: 0, /* ACTIVE.CELL */\n0x005F: 0, /* SELECTION */\n0x0061: 2, /* ATAN2 */\n0x0062: 1, /* ASIN */\n0x0063: 1, /* ACOS */\n0x0065: 3, /* HLOOKUP */\n0x0066: 3, /* VLOOKUP */\n0x0069: 1, /* ISREF */\n0x006A: 1, /* GET.FORMULA */\n0x006C: 2, /* SET.VALUE */\n0x006F: 1, /* CHAR */\n0x0070: 1, /* LOWER */\n0x0071: 1, /* UPPER */\n0x0072: 1, /* PROPER */\n0x0075: 2, /* EXACT */\n0x0076: 1, /* TRIM */\n0x0077: 4, /* REPLACE */\n0x0079: 1, /* CODE */\n0x007E: 1, /* ISERR */\n0x007F: 1, /* ISTEXT */\n0x0080: 1, /* ISNUMBER */\n0x0081: 1, /* ISBLANK */\n0x0082: 1, /* T */\n0x0083: 1, /* N */\n0x0085: 1, /* FCLOSE */\n0x0086: 1, /* FSIZE */\n0x0087: 1, /* FREADLN */\n0x0088: 2, /* FREAD */\n0x0089: 2, /* FWRITELN */\n0x008A: 2, /* FWRITE */\n0x008C: 1, /* DATEVALUE */\n0x008D: 1, /* TIMEVALUE */\n0x008E: 3, /* SLN */\n0x008F: 4, /* SYD */\n0x0090: 4, /* DDB */\n0x00A1: 1, /* DIALOG.BOX */\n0x00A2: 1, /* CLEAN */\n0x00A3: 1, /* MDETERM */\n0x00A4: 1, /* MINVERSE */\n0x00A5: 2, /* MMULT */\n0x00AC: 1, /* WHILE */\n0x00AF: 2, /* INITIATE */\n0x00B0: 2, /* REQUEST */\n0x00B1: 3, /* POKE */\n0x00B2: 2, /* EXECUTE */\n0x00B3: 1, /* TERMINATE */\n0x00B8: 1, /* FACT */\n0x00BA: 1, /* GET.WORKSPACE */\n0x00BD: 3, /* DPRODUCT */\n0x00BE: 1, /* ISNONTEXT */\n0x00C3: 3, /* DSTDEVP */\n0x00C4: 3, /* DVARP */\n0x00C5: 1, /* TRUNC */\n0x00C6: 1, /* ISLOGICAL */\n0x00C7: 3, /* DCOUNTA */\n0x00C9: 1, /* UNREGISTER */\n0x00CF: 4, /* REPLACEB */\n0x00D2: 3, /* MIDB */\n0x00D3: 1, /* LENB */\n0x00D4: 2, /* ROUNDUP */\n0x00D5: 2, /* ROUNDDOWN */\n0x00D6: 1, /* ASC */\n0x00D7: 1, /* DBCS */\n0x00E1: 0, /* END.IF */\n0x00E5: 1, /* SINH */\n0x00E6: 1, /* COSH */\n0x00E7: 1, /* TANH */\n0x00E8: 1, /* ASINH */\n0x00E9: 1, /* ACOSH */\n0x00EA: 1, /* ATANH */\n0x00EB: 3, /* DGET */\n0x00F4: 1, /* INFO */\n0x00F7: 4, /* DB */\n0x00FC: 2, /* FREQUENCY */\n0x0101: 1, /* EVALUATE */\n0x0105: 1, /* ERROR.TYPE */\n0x010F: 1, /* GAMMALN */\n0x0111: 4, /* BINOMDIST */\n0x0112: 2, /* CHIDIST */\n0x0113: 2, /* CHIINV */\n0x0114: 2, /* COMBIN */\n0x0115: 3, /* CONFIDENCE */\n0x0116: 3, /* CRITBINOM */\n0x0117: 1, /* EVEN */\n0x0118: 3, /* EXPONDIST */\n0x0119: 3, /* FDIST */\n0x011A: 3, /* FINV */\n0x011B: 1, /* FISHER */\n0x011C: 1, /* FISHERINV */\n0x011D: 2, /* FLOOR */\n0x011E: 4, /* GAMMADIST */\n0x011F: 3, /* GAMMAINV */\n0x0120: 2, /* CEILING */\n0x0121: 4, /* HYPGEOMDIST */\n0x0122: 3, /* LOGNORMDIST */\n0x0123: 3, /* LOGINV */\n0x0124: 3, /* NEGBINOMDIST */\n0x0125: 4, /* NORMDIST */\n0x0126: 1, /* NORMSDIST */\n0x0127: 3, /* NORMINV */\n0x0128: 1, /* NORMSINV */\n0x0129: 3, /* STANDARDIZE */\n0x012A: 1, /* ODD */\n0x012B: 2, /* PERMUT */\n0x012C: 3, /* POISSON */\n0x012D: 3, /* TDIST */\n0x012E: 4, /* WEIBULL */\n0x012F: 2, /* SUMXMY2 */\n0x0130: 2, /* SUMX2MY2 */\n0x0131: 2, /* SUMX2PY2 */\n0x0132: 2, /* CHITEST */\n0x0133: 2, /* CORREL */\n0x0134: 2, /* COVAR */\n0x0135: 3, /* FORECAST */\n0x0136: 2, /* FTEST */\n0x0137: 2, /* INTERCEPT */\n0x0138: 2, /* PEARSON */\n0x0139: 2, /* RSQ */\n0x013A: 2, /* STEYX */\n0x013B: 2, /* SLOPE */\n0x013C: 4, /* TTEST */\n0x0145: 2, /* LARGE */\n0x0146: 2, /* SMALL */\n0x0147: 2, /* QUARTILE */\n0x0148: 2, /* PERCENTILE */\n0x014B: 2, /* TRIMMEAN */\n0x014C: 2, /* TINV */\n0x0151: 2, /* POWER */\n0x0156: 1, /* RADIANS */\n0x0157: 1, /* DEGREES */\n0x015A: 2, /* COUNTIF */\n0x015B: 1, /* COUNTBLANK */\n0x015E: 4, /* ISPMT */\n0x015F: 3, /* DATEDIF */\n0x0160: 1, /* DATESTRING */\n0x0161: 2, /* NUMBERSTRING */\n0x0168: 1, /* PHONETIC */\n0x0170: 1, /* BAHTTEXT */\n0x0171: 1, /* THAIDAYOFWEEK */\n0x0172: 1, /* THAIDIGIT */\n0x0173: 1, /* THAIMONTHOFYEAR */\n0x0174: 1, /* THAINUMSOUND */\n0x0175: 1, /* THAINUMSTRING */\n0x0176: 1, /* THAISTRINGLENGTH */\n0x0177: 1, /* ISTHAIDIGIT */\n0x0178: 1, /* ROUNDBAHTDOWN */\n0x0179: 1, /* ROUNDBAHTUP */\n0x017A: 1, /* THAIYEAR */\n0x017E: 3, /* CUBEMEMBERPROPERTY */\n0x0181: 1, /* HEX2DEC */\n0x0188: 1, /* OCT2DEC */\n0x0189: 1, /* BIN2DEC */\n0x018C: 2, /* IMSUB */\n0x018D: 2, /* IMDIV */\n0x018E: 2, /* IMPOWER */\n0x018F: 1, /* IMABS */\n0x0190: 1, /* IMSQRT */\n0x0191: 1, /* IMLN */\n0x0192: 1, /* IMLOG2 */\n0x0193: 1, /* IMLOG10 */\n0x0194: 1, /* IMSIN */\n0x0195: 1, /* IMCOS */\n0x0196: 1, /* IMEXP */\n0x0197: 1, /* IMARGUMENT */\n0x0198: 1, /* IMCONJUGATE */\n0x0199: 1, /* IMAGINARY */\n0x019A: 1, /* IMREAL */\n0x019E: 4, /* SERIESSUM */\n0x019F: 1, /* FACTDOUBLE */\n0x01A0: 1, /* SQRTPI */\n0x01A1: 2, /* QUOTIENT */\n0x01A4: 1, /* ISEVEN */\n0x01A5: 1, /* ISODD */\n0x01A6: 2, /* MROUND */\n0x01A8: 1, /* ERFC */\n0x01A9: 2, /* BESSELJ */\n0x01AA: 2, /* BESSELK */\n0x01AB: 2, /* BESSELY */\n0x01AC: 2, /* BESSELI */\n0x01AE: 3, /* XNPV */\n0x01B6: 3, /* TBILLEQ */\n0x01B7: 3, /* TBILLPRICE */\n0x01B8: 3, /* TBILLYIELD */\n0x01BB: 2, /* DOLLARDE */\n0x01BC: 2, /* DOLLARFR */\n0x01BD: 2, /* NOMINAL */\n0x01BE: 2, /* EFFECT */\n0x01BF: 6, /* CUMPRINC */\n0x01C0: 6, /* CUMIPMT */\n0x01C1: 2, /* EDATE */\n0x01C2: 2, /* EOMONTH */\n0x01D0: 2, /* RANDBETWEEN */\n0x01D4: 3, /* CONVERT */\n0x01DC: 2, /* FVSCHEDULE */\n0x01DF: 1, /* CUBESETCOUNT */\n0x01E0: 2, /* IFERROR */\n0xFFFF: 0\n};\n/* [MS-XLSX] 2.2.3 Functions */\n/* [MS-XLSB] 2.5.97.10 Ftab */\nvar XLSXFutureFunctions = {\n\t\"_xlfn.ACOT\": \"ACOT\",\n\t\"_xlfn.ACOTH\": \"ACOTH\",\n\t\"_xlfn.AGGREGATE\": \"AGGREGATE\",\n\t\"_xlfn.ARABIC\": \"ARABIC\",\n\t\"_xlfn.AVERAGEIF\": \"AVERAGEIF\",\n\t\"_xlfn.AVERAGEIFS\": \"AVERAGEIFS\",\n\t\"_xlfn.BASE\": \"BASE\",\n\t\"_xlfn.BETA.DIST\": \"BETA.DIST\",\n\t\"_xlfn.BETA.INV\": \"BETA.INV\",\n\t\"_xlfn.BINOM.DIST\": \"BINOM.DIST\",\n\t\"_xlfn.BINOM.DIST.RANGE\": \"BINOM.DIST.RANGE\",\n\t\"_xlfn.BINOM.INV\": \"BINOM.INV\",\n\t\"_xlfn.BITAND\": \"BITAND\",\n\t\"_xlfn.BITLSHIFT\": \"BITLSHIFT\",\n\t\"_xlfn.BITOR\": \"BITOR\",\n\t\"_xlfn.BITRSHIFT\": \"BITRSHIFT\",\n\t\"_xlfn.BITXOR\": \"BITXOR\",\n\t\"_xlfn.CEILING.MATH\": \"CEILING.MATH\",\n\t\"_xlfn.CEILING.PRECISE\": \"CEILING.PRECISE\",\n\t\"_xlfn.CHISQ.DIST\": \"CHISQ.DIST\",\n\t\"_xlfn.CHISQ.DIST.RT\": \"CHISQ.DIST.RT\",\n\t\"_xlfn.CHISQ.INV\": \"CHISQ.INV\",\n\t\"_xlfn.CHISQ.INV.RT\": \"CHISQ.INV.RT\",\n\t\"_xlfn.CHISQ.TEST\": \"CHISQ.TEST\",\n\t\"_xlfn.COMBINA\": \"COMBINA\",\n\t\"_xlfn.CONCAT\": \"CONCAT\",\n\t\"_xlfn.CONFIDENCE.NORM\": \"CONFIDENCE.NORM\",\n\t\"_xlfn.CONFIDENCE.T\": \"CONFIDENCE.T\",\n\t\"_xlfn.COT\": \"COT\",\n\t\"_xlfn.COTH\": \"COTH\",\n\t\"_xlfn.COUNTIFS\": \"COUNTIFS\",\n\t\"_xlfn.COVARIANCE.P\": \"COVARIANCE.P\",\n\t\"_xlfn.COVARIANCE.S\": \"COVARIANCE.S\",\n\t\"_xlfn.CSC\": \"CSC\",\n\t\"_xlfn.CSCH\": \"CSCH\",\n\t\"_xlfn.DAYS\": \"DAYS\",\n\t\"_xlfn.DECIMAL\": \"DECIMAL\",\n\t\"_xlfn.ECMA.CEILING\": \"ECMA.CEILING\",\n\t\"_xlfn.ERF.PRECISE\": \"ERF.PRECISE\",\n\t\"_xlfn.ERFC.PRECISE\": \"ERFC.PRECISE\",\n\t\"_xlfn.EXPON.DIST\": \"EXPON.DIST\",\n\t\"_xlfn.F.DIST\": \"F.DIST\",\n\t\"_xlfn.F.DIST.RT\": \"F.DIST.RT\",\n\t\"_xlfn.F.INV\": \"F.INV\",\n\t\"_xlfn.F.INV.RT\": \"F.INV.RT\",\n\t\"_xlfn.F.TEST\": \"F.TEST\",\n\t\"_xlfn.FILTERXML\": \"FILTERXML\",\n\t\"_xlfn.FLOOR.MATH\": \"FLOOR.MATH\",\n\t\"_xlfn.FLOOR.PRECISE\": \"FLOOR.PRECISE\",\n\t\"_xlfn.FORECAST.ETS\": \"FORECAST.ETS\",\n\t\"_xlfn.FORECAST.ETS.CONFINT\": \"FORECAST.ETS.CONFINT\",\n\t\"_xlfn.FORECAST.ETS.SEASONALITY\": \"FORECAST.ETS.SEASONALITY\",\n\t\"_xlfn.FORECAST.ETS.STAT\": \"FORECAST.ETS.STAT\",\n\t\"_xlfn.FORECAST.LINEAR\": \"FORECAST.LINEAR\",\n\t\"_xlfn.FORMULATEXT\": \"FORMULATEXT\",\n\t\"_xlfn.GAMMA\": \"GAMMA\",\n\t\"_xlfn.GAMMA.DIST\": \"GAMMA.DIST\",\n\t\"_xlfn.GAMMA.INV\": \"GAMMA.INV\",\n\t\"_xlfn.GAMMALN.PRECISE\": \"GAMMALN.PRECISE\",\n\t\"_xlfn.GAUSS\": \"GAUSS\",\n\t\"_xlfn.HYPGEOM.DIST\": \"HYPGEOM.DIST\",\n\t\"_xlfn.IFERROR\": \"IFERROR\",\n\t\"_xlfn.IFNA\": \"IFNA\",\n\t\"_xlfn.IFS\": \"IFS\",\n\t\"_xlfn.IMCOSH\": \"IMCOSH\",\n\t\"_xlfn.IMCOT\": \"IMCOT\",\n\t\"_xlfn.IMCSC\": \"IMCSC\",\n\t\"_xlfn.IMCSCH\": \"IMCSCH\",\n\t\"_xlfn.IMSEC\": \"IMSEC\",\n\t\"_xlfn.IMSECH\": \"IMSECH\",\n\t\"_xlfn.IMSINH\": \"IMSINH\",\n\t\"_xlfn.IMTAN\": \"IMTAN\",\n\t\"_xlfn.ISFORMULA\": \"ISFORMULA\",\n\t\"_xlfn.ISO.CEILING\": \"ISO.CEILING\",\n\t\"_xlfn.ISOWEEKNUM\": \"ISOWEEKNUM\",\n\t\"_xlfn.LOGNORM.DIST\": \"LOGNORM.DIST\",\n\t\"_xlfn.LOGNORM.INV\": \"LOGNORM.INV\",\n\t\"_xlfn.MAXIFS\": \"MAXIFS\",\n\t\"_xlfn.MINIFS\": \"MINIFS\",\n\t\"_xlfn.MODE.MULT\": \"MODE.MULT\",\n\t\"_xlfn.MODE.SNGL\": \"MODE.SNGL\",\n\t\"_xlfn.MUNIT\": \"MUNIT\",\n\t\"_xlfn.NEGBINOM.DIST\": \"NEGBINOM.DIST\",\n\t\"_xlfn.NETWORKDAYS.INTL\": \"NETWORKDAYS.INTL\",\n\t\"_xlfn.NIGBINOM\": \"NIGBINOM\",\n\t\"_xlfn.NORM.DIST\": \"NORM.DIST\",\n\t\"_xlfn.NORM.INV\": \"NORM.INV\",\n\t\"_xlfn.NORM.S.DIST\": \"NORM.S.DIST\",\n\t\"_xlfn.NORM.S.INV\": \"NORM.S.INV\",\n\t\"_xlfn.NUMBERVALUE\": \"NUMBERVALUE\",\n\t\"_xlfn.PDURATION\": \"PDURATION\",\n\t\"_xlfn.PERCENTILE.EXC\": \"PERCENTILE.EXC\",\n\t\"_xlfn.PERCENTILE.INC\": \"PERCENTILE.INC\",\n\t\"_xlfn.PERCENTRANK.EXC\": \"PERCENTRANK.EXC\",\n\t\"_xlfn.PERCENTRANK.INC\": \"PERCENTRANK.INC\",\n\t\"_xlfn.PERMUTATIONA\": \"PERMUTATIONA\",\n\t\"_xlfn.PHI\": \"PHI\",\n\t\"_xlfn.POISSON.DIST\": \"POISSON.DIST\",\n\t\"_xlfn.QUARTILE.EXC\": \"QUARTILE.EXC\",\n\t\"_xlfn.QUARTILE.INC\": \"QUARTILE.INC\",\n\t\"_xlfn.QUERYSTRING\": \"QUERYSTRING\",\n\t\"_xlfn.RANK.AVG\": \"RANK.AVG\",\n\t\"_xlfn.RANK.EQ\": \"RANK.EQ\",\n\t\"_xlfn.RRI\": \"RRI\",\n\t\"_xlfn.SEC\": \"SEC\",\n\t\"_xlfn.SECH\": \"SECH\",\n\t\"_xlfn.SHEET\": \"SHEET\",\n\t\"_xlfn.SHEETS\": \"SHEETS\",\n\t\"_xlfn.SKEW.P\": \"SKEW.P\",\n\t\"_xlfn.STDEV.P\": \"STDEV.P\",\n\t\"_xlfn.STDEV.S\": \"STDEV.S\",\n\t\"_xlfn.SUMIFS\": \"SUMIFS\",\n\t\"_xlfn.SWITCH\": \"SWITCH\",\n\t\"_xlfn.T.DIST\": \"T.DIST\",\n\t\"_xlfn.T.DIST.2T\": \"T.DIST.2T\",\n\t\"_xlfn.T.DIST.RT\": \"T.DIST.RT\",\n\t\"_xlfn.T.INV\": \"T.INV\",\n\t\"_xlfn.T.INV.2T\": \"T.INV.2T\",\n\t\"_xlfn.T.TEST\": \"T.TEST\",\n\t\"_xlfn.TEXTJOIN\": \"TEXTJOIN\",\n\t\"_xlfn.UNICHAR\": \"UNICHAR\",\n\t\"_xlfn.UNICODE\": \"UNICODE\",\n\t\"_xlfn.VAR.P\": \"VAR.P\",\n\t\"_xlfn.VAR.S\": \"VAR.S\",\n\t\"_xlfn.WEBSERVICE\": \"WEBSERVICE\",\n\t\"_xlfn.WEIBULL.DIST\": \"WEIBULL.DIST\",\n\t\"_xlfn.WORKDAY.INTL\": \"WORKDAY.INTL\",\n\t\"_xlfn.XOR\": \"XOR\",\n\t\"_xlfn.Z.TEST\": \"Z.TEST\"\n};\n\n/* Part 3 TODO: actually parse formulae */\nfunction ods_to_csf_formula(f) {\n\tif(f.slice(0,3) == \"of:\") f = f.slice(3);\n\t/* 5.2 Basic Expressions */\n\tif(f.charCodeAt(0) == 61) {\n\t\tf = f.slice(1);\n\t\tif(f.charCodeAt(0) == 61) f = f.slice(1);\n\t}\n\tf = f.replace(/COM\\.MICROSOFT\\./g, \"\");\n\t/* Part 3 Section 5.8 References */\n\tf = f.replace(/\\[((?:\\.[A-Z]+[0-9]+)(?::\\.[A-Z]+[0-9]+)?)\\]/g, function($$, $1) { return $1.replace(/\\./g,\"\"); });\n\t/* TODO: something other than this */\n\tf = f.replace(/\\[.(#[A-Z]*[?!])\\]/g, \"$1\");\n\treturn f.replace(/[;~]/g,\",\").replace(/\\|/g,\";\");\n}\n\nfunction csf_to_ods_formula(f) {\n\tvar o = \"of:=\" + f.replace(crefregex, \"$1[.$2$3$4$5]\").replace(/\\]:\\[/g,\":\");\n\t/* TODO: something other than this */\n\treturn o.replace(/;/g, \"|\").replace(/,/g,\";\");\n}\n\nfunction ods_to_csf_3D(r) {\n\tvar a = r.split(\":\");\n\tvar s = a[0].split(\".\")[0];\n\treturn [s, a[0].split(\".\")[1] + (a.length > 1 ? (\":\" + (a[1].split(\".\")[1] || a[1].split(\".\")[0])) : \"\")];\n}\n\nfunction csf_to_ods_3D(r) {\n\treturn r.replace(/\\./,\"!\");\n}\n\nvar strs = {}; // shared strings\nvar _ssfopts = {}; // spreadsheet formatting options\n\nRELS.WS = [\n\t\"http://schemas.openxmlformats.org/officeDocument/2006/relationships/worksheet\",\n\t\"http://purl.oclc.org/ooxml/officeDocument/relationships/worksheet\"\n];\n\n/*global Map */\nvar browser_has_Map = typeof Map !== 'undefined';\n\nfunction get_sst_id(sst, str, rev) {\n\tvar i = 0, len = sst.length;\n\tif(rev) {\n\t\tif(browser_has_Map ? rev.has(str) : Object.prototype.hasOwnProperty.call(rev, str)) {\n\t\t\tvar revarr = browser_has_Map ? rev.get(str) : rev[str];\n\t\t\tfor(; i < revarr.length; ++i) {\n\t\t\t\tif(sst[revarr[i]].t === str) { sst.Count ++; return revarr[i]; }\n\t\t\t}\n\t\t}\n\t} else for(; i < len; ++i) {\n\t\tif(sst[i].t === str) { sst.Count ++; return i; }\n\t}\n\tsst[len] = ({t:str}); sst.Count ++; sst.Unique ++;\n\tif(rev) {\n\t\tif(browser_has_Map) {\n\t\t\tif(!rev.has(str)) rev.set(str, []);\n\t\t\trev.get(str).push(len);\n\t\t} else {\n\t\t\tif(!Object.prototype.hasOwnProperty.call(rev, str)) rev[str] = [];\n\t\t\trev[str].push(len);\n\t\t}\n\t}\n\treturn len;\n}\n\nfunction col_obj_w(C, col) {\n\tvar p = ({min:C+1,max:C+1});\n\t/* wch (chars), wpx (pixels) */\n\tvar wch = -1;\n\tif(col.MDW) MDW = col.MDW;\n\tif(col.width != null) p.customWidth = 1;\n\telse if(col.wpx != null) wch = px2char(col.wpx);\n\telse if(col.wch != null) wch = col.wch;\n\tif(wch > -1) { p.width = char2width(wch); p.customWidth = 1; }\n\telse if(col.width != null) p.width = col.width;\n\tif(col.hidden) p.hidden = true;\n\treturn p;\n}\n\nfunction default_margins(margins, mode) {\n\tif(!margins) return;\n\tvar defs = [0.7, 0.7, 0.75, 0.75, 0.3, 0.3];\n\tif(mode == 'xlml') defs = [1, 1, 1, 1, 0.5, 0.5];\n\tif(margins.left == null) margins.left = defs[0];\n\tif(margins.right == null) margins.right = defs[1];\n\tif(margins.top == null) margins.top = defs[2];\n\tif(margins.bottom == null) margins.bottom = defs[3];\n\tif(margins.header == null) margins.header = defs[4];\n\tif(margins.footer == null) margins.footer = defs[5];\n}\n\nfunction get_cell_style(styles, cell, opts) {\n\tvar z = opts.revssf[cell.z != null ? cell.z : \"General\"];\n\tvar i = 0x3c, len = styles.length;\n\tif(z == null && opts.ssf) {\n\t\tfor(; i < 0x188; ++i) if(opts.ssf[i] == null) {\n\t\t\tSSF.load(cell.z, i);\n\t\t\t// $FlowIgnore\n\t\t\topts.ssf[i] = cell.z;\n\t\t\topts.revssf[cell.z] = z = i;\n\t\t\tbreak;\n\t\t}\n\t}\n\tfor(i = 0; i != len; ++i) if(styles[i].numFmtId === z) return i;\n\tstyles[len] = {\n\t\tnumFmtId:z,\n\t\tfontId:0,\n\t\tfillId:0,\n\t\tborderId:0,\n\t\txfId:0,\n\t\tapplyNumberFormat:1\n\t};\n\treturn len;\n}\n\nfunction safe_format(p, fmtid, fillid, opts, themes, styles) {\n\ttry {\n\t\tif(opts.cellNF) p.z = SSF._table[fmtid];\n\t} catch(e) { if(opts.WTF) throw e; }\n\tif(p.t === 'z') return;\n\tif(p.t === 'd' && typeof p.v === 'string') p.v = parseDate(p.v);\n\tif(!opts || opts.cellText !== false) try {\n\t\tif(SSF._table[fmtid] == null) SSF.load(SSFImplicit[fmtid] || \"General\", fmtid);\n\t\tif(p.t === 'e') p.w = p.w || BErr[p.v];\n\t\telse if(fmtid === 0) {\n\t\t\tif(p.t === 'n') {\n\t\t\t\tif((p.v|0) === p.v) p.w = SSF._general_int(p.v);\n\t\t\t\telse p.w = SSF._general_num(p.v);\n\t\t\t}\n\t\t\telse if(p.t === 'd') {\n\t\t\t\tvar dd = datenum(p.v);\n\t\t\t\tif((dd|0) === dd) p.w = SSF._general_int(dd);\n\t\t\t\telse p.w = SSF._general_num(dd);\n\t\t\t}\n\t\t\telse if(p.v === undefined) return \"\";\n\t\t\telse p.w = SSF._general(p.v,_ssfopts);\n\t\t}\n\t\telse if(p.t === 'd') p.w = SSF.format(fmtid,datenum(p.v),_ssfopts);\n\t\telse p.w = SSF.format(fmtid,p.v,_ssfopts);\n\t} catch(e) { if(opts.WTF) throw e; }\n\tif(!opts.cellStyles) return;\n\tif(fillid != null) try {\n\t\tp.s = styles.Fills[fillid];\n\t\tif (p.s.fgColor && p.s.fgColor.theme && !p.s.fgColor.rgb) {\n\t\t\tp.s.fgColor.rgb = rgb_tint(themes.themeElements.clrScheme[p.s.fgColor.theme].rgb, p.s.fgColor.tint || 0);\n\t\t\tif(opts.WTF) p.s.fgColor.raw_rgb = themes.themeElements.clrScheme[p.s.fgColor.theme].rgb;\n\t\t}\n\t\tif (p.s.bgColor && p.s.bgColor.theme) {\n\t\t\tp.s.bgColor.rgb = rgb_tint(themes.themeElements.clrScheme[p.s.bgColor.theme].rgb, p.s.bgColor.tint || 0);\n\t\t\tif(opts.WTF) p.s.bgColor.raw_rgb = themes.themeElements.clrScheme[p.s.bgColor.theme].rgb;\n\t\t}\n\t} catch(e) { if(opts.WTF && styles.Fills) throw e; }\n}\n\nfunction check_ws(ws, sname, i) {\n\tif(ws && ws['!ref']) {\n\t\tvar range = safe_decode_range(ws['!ref']);\n\t\tif(range.e.c < range.s.c || range.e.r < range.s.r) throw new Error(\"Bad range (\" + i + \"): \" + ws['!ref']);\n\t}\n}\nfunction parse_ws_xml_dim(ws, s) {\n\tvar d = safe_decode_range(s);\n\tif(d.s.r<=d.e.r && d.s.c<=d.e.c && d.s.r>=0 && d.s.c>=0) ws[\"!ref\"] = encode_range(d);\n}\nvar mergecregex = /<(?:\\w:)?mergeCell ref=\"[A-Z0-9:]+\"\\s*[\\/]?>/g;\nvar sheetdataregex = /<(?:\\w+:)?sheetData[^>]*>([\\s\\S]*)<\\/(?:\\w+:)?sheetData>/;\nvar hlinkregex = /<(?:\\w:)?hyperlink [^>]*>/mg;\nvar dimregex = /\"(\\w*:\\w*)\"/;\nvar colregex = /<(?:\\w:)?col\\b[^>]*[\\/]?>/g;\nvar afregex = /<(?:\\w:)?autoFilter[^>]*([\\/]|>([\\s\\S]*)<\\/(?:\\w:)?autoFilter)>/g;\nvar marginregex= /<(?:\\w:)?pageMargins[^>]*\\/>/g;\nvar sheetprregex = /<(?:\\w:)?sheetPr\\b(?:[^>a-z][^>]*)?\\/>/;\nvar svsregex = /<(?:\\w:)?sheetViews[^>]*(?:[\\/]|>([\\s\\S]*)<\\/(?:\\w:)?sheetViews)>/;\n\n/* 18.3 Worksheets */\nfunction parse_ws_xml(data, opts, idx, rels, wb, themes, styles) {\n\tif(!data) return data;\n\tif(!rels) rels = {'!id':{}};\n\tif(DENSE != null && opts.dense == null) opts.dense = DENSE;\n\n\t/* 18.3.1.99 worksheet CT_Worksheet */\n\tvar s = opts.dense ? ([]) : ({});\n\tvar refguess = ({s: {r:2000000, c:2000000}, e: {r:0, c:0} });\n\n\tvar data1 = \"\", data2 = \"\";\n\tvar mtch = data.match(sheetdataregex);\n\tif(mtch) {\n\t\tdata1 = data.slice(0, mtch.index);\n\t\tdata2 = data.slice(mtch.index + mtch[0].length);\n\t} else data1 = data2 = data;\n\n\t/* 18.3.1.82 sheetPr CT_SheetPr */\n\tvar sheetPr = data1.match(sheetprregex);\n\tif(sheetPr) parse_ws_xml_sheetpr(sheetPr[0], s, wb, idx);\n\n\t/* 18.3.1.35 dimension CT_SheetDimension */\n\tvar ridx = (data1.match(/<(?:\\w*:)?dimension/)||{index:-1}).index;\n\tif(ridx > 0) {\n\t\tvar ref = data1.slice(ridx,ridx+50).match(dimregex);\n\t\tif(ref) parse_ws_xml_dim(s, ref[1]);\n\t}\n\n\t/* 18.3.1.88 sheetViews CT_SheetViews */\n\tvar svs = data1.match(svsregex);\n\tif(svs && svs[1]) parse_ws_xml_sheetviews(svs[1], wb);\n\n\t/* 18.3.1.17 cols CT_Cols */\n\tvar columns = [];\n\tif(opts.cellStyles) {\n\t\t/* 18.3.1.13 col CT_Col */\n\t\tvar cols = data1.match(colregex);\n\t\tif(cols) parse_ws_xml_cols(columns, cols);\n\t}\n\n\t/* 18.3.1.80 sheetData CT_SheetData ? */\n\tif(mtch) parse_ws_xml_data(mtch[1], s, opts, refguess, themes, styles);\n\n\t/* 18.3.1.2 autoFilter CT_AutoFilter */\n\tvar afilter = data2.match(afregex);\n\tif(afilter) s['!autofilter'] = parse_ws_xml_autofilter(afilter[0]);\n\n\t/* 18.3.1.55 mergeCells CT_MergeCells */\n\tvar merges = [];\n\tvar _merge = data2.match(mergecregex);\n\tif(_merge) for(ridx = 0; ridx != _merge.length; ++ridx)\n\t\tmerges[ridx] = safe_decode_range(_merge[ridx].slice(_merge[ridx].indexOf(\"\\\"\")+1));\n\n\t/* 18.3.1.48 hyperlinks CT_Hyperlinks */\n\tvar hlink = data2.match(hlinkregex);\n\tif(hlink) parse_ws_xml_hlinks(s, hlink, rels);\n\n\t/* 18.3.1.62 pageMargins CT_PageMargins */\n\tvar margins = data2.match(marginregex);\n\tif(margins) s['!margins'] = parse_ws_xml_margins(parsexmltag(margins[0]));\n\n\tif(!s[\"!ref\"] && refguess.e.c >= refguess.s.c && refguess.e.r >= refguess.s.r) s[\"!ref\"] = encode_range(refguess);\n\tif(opts.sheetRows > 0 && s[\"!ref\"]) {\n\t\tvar tmpref = safe_decode_range(s[\"!ref\"]);\n\t\tif(opts.sheetRows <= +tmpref.e.r) {\n\t\t\ttmpref.e.r = opts.sheetRows - 1;\n\t\t\tif(tmpref.e.r > refguess.e.r) tmpref.e.r = refguess.e.r;\n\t\t\tif(tmpref.e.r < tmpref.s.r) tmpref.s.r = tmpref.e.r;\n\t\t\tif(tmpref.e.c > refguess.e.c) tmpref.e.c = refguess.e.c;\n\t\t\tif(tmpref.e.c < tmpref.s.c) tmpref.s.c = tmpref.e.c;\n\t\t\ts[\"!fullref\"] = s[\"!ref\"];\n\t\t\ts[\"!ref\"] = encode_range(tmpref);\n\t\t}\n\t}\n\tif(columns.length > 0) s[\"!cols\"] = columns;\n\tif(merges.length > 0) s[\"!merges\"] = merges;\n\treturn s;\n}\n\nfunction write_ws_xml_merges(merges) {\n\tif(merges.length === 0) return \"\";\n\tvar o = '';\n\tfor(var i = 0; i != merges.length; ++i) o += '';\n\treturn o + '';\n}\n\n/* 18.3.1.82-3 sheetPr CT_ChartsheetPr / CT_SheetPr */\nfunction parse_ws_xml_sheetpr(sheetPr, s, wb, idx) {\n\tvar data = parsexmltag(sheetPr);\n\tif(!wb.Sheets[idx]) wb.Sheets[idx] = {};\n\tif(data.codeName) wb.Sheets[idx].CodeName = unescapexml(utf8read(data.codeName));\n}\nfunction write_ws_xml_sheetpr(ws, wb, idx, opts, o) {\n\tvar needed = false;\n\tvar props = {}, payload = null;\n\tif(opts.bookType !== 'xlsx' && wb.vbaraw) {\n\t\tvar cname = wb.SheetNames[idx];\n\t\ttry { if(wb.Workbook) cname = wb.Workbook.Sheets[idx].CodeName || cname; } catch(e) {}\n\t\tneeded = true;\n\t\tprops.codeName = utf8write(escapexml(cname));\n\t}\n\n\tif(ws && ws[\"!outline\"]) {\n\t\tvar outlineprops = {summaryBelow:1, summaryRight:1};\n\t\tif(ws[\"!outline\"].above) outlineprops.summaryBelow = 0;\n\t\tif(ws[\"!outline\"].left) outlineprops.summaryRight = 0;\n\t\tpayload = (payload||\"\") + writextag('outlinePr', null, outlineprops);\n\t}\n\n\tif(!needed && !payload) return;\n\to[o.length] = (writextag('sheetPr', payload, props));\n}\n\n/* 18.3.1.85 sheetProtection CT_SheetProtection */\nvar sheetprot_deffalse = [\"objects\", \"scenarios\", \"selectLockedCells\", \"selectUnlockedCells\"];\nvar sheetprot_deftrue = [\n\t\"formatColumns\", \"formatRows\", \"formatCells\",\n\t\"insertColumns\", \"insertRows\", \"insertHyperlinks\",\n\t\"deleteColumns\", \"deleteRows\",\n\t\"sort\", \"autoFilter\", \"pivotTables\"\n];\nfunction write_ws_xml_protection(sp) {\n\t// algorithmName, hashValue, saltValue, spinCount\n\tvar o = ({sheet:1});\n\tsheetprot_deffalse.forEach(function(n) { if(sp[n] != null && sp[n]) o[n] = \"1\"; });\n\tsheetprot_deftrue.forEach(function(n) { if(sp[n] != null && !sp[n]) o[n] = \"0\"; });\n\t/* TODO: algorithm */\n\tif(sp.password) o.password = crypto_CreatePasswordVerifier_Method1(sp.password).toString(16).toUpperCase();\n\treturn writextag('sheetProtection', null, o);\n}\n\nfunction parse_ws_xml_hlinks(s, data, rels) {\n\tvar dense = Array.isArray(s);\n\tfor(var i = 0; i != data.length; ++i) {\n\t\tvar val = parsexmltag(utf8read(data[i]), true);\n\t\tif(!val.ref) return;\n\t\tvar rel = ((rels || {})['!id']||[])[val.id];\n\t\tif(rel) {\n\t\t\tval.Target = rel.Target;\n\t\t\tif(val.location) val.Target += \"#\"+val.location;\n\t\t} else {\n\t\t\tval.Target = \"#\" + val.location;\n\t\t\trel = {Target: val.Target, TargetMode: 'Internal'};\n\t\t}\n\t\tval.Rel = rel;\n\t\tif(val.tooltip) { val.Tooltip = val.tooltip; delete val.tooltip; }\n\t\tvar rng = safe_decode_range(val.ref);\n\t\tfor(var R=rng.s.r;R<=rng.e.r;++R) for(var C=rng.s.c;C<=rng.e.c;++C) {\n\t\t\tvar addr = encode_cell({c:C,r:R});\n\t\t\tif(dense) {\n\t\t\t\tif(!s[R]) s[R] = [];\n\t\t\t\tif(!s[R][C]) s[R][C] = {t:\"z\",v:undefined};\n\t\t\t\ts[R][C].l = val;\n\t\t\t} else {\n\t\t\t\tif(!s[addr]) s[addr] = {t:\"z\",v:undefined};\n\t\t\t\ts[addr].l = val;\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunction parse_ws_xml_margins(margin) {\n\tvar o = {};\n\t[\"left\", \"right\", \"top\", \"bottom\", \"header\", \"footer\"].forEach(function(k) {\n\t\tif(margin[k]) o[k] = parseFloat(margin[k]);\n\t});\n\treturn o;\n}\nfunction write_ws_xml_margins(margin) {\n\tdefault_margins(margin);\n\treturn writextag('pageMargins', null, margin);\n}\n\nfunction parse_ws_xml_cols(columns, cols) {\n\tvar seencol = false;\n\tfor(var coli = 0; coli != cols.length; ++coli) {\n\t\tvar coll = parsexmltag(cols[coli], true);\n\t\tif(coll.hidden) coll.hidden = parsexmlbool(coll.hidden);\n\t\tvar colm=parseInt(coll.min, 10)-1, colM=parseInt(coll.max,10)-1;\n\t\tdelete coll.min; delete coll.max; coll.width = +coll.width;\n\t\tif(!seencol && coll.width) { seencol = true; find_mdw_colw(coll.width); }\n\t\tprocess_col(coll);\n\t\twhile(colm <= colM) columns[colm++] = dup(coll);\n\t}\n}\nfunction write_ws_xml_cols(ws, cols) {\n\tvar o = [\"\"], col;\n\tfor(var i = 0; i != cols.length; ++i) {\n\t\tif(!(col = cols[i])) continue;\n\t\to[o.length] = (writextag('col', null, col_obj_w(i, col)));\n\t}\n\to[o.length] = \"\";\n\treturn o.join(\"\");\n}\n\nfunction parse_ws_xml_autofilter(data) {\n\tvar o = { ref: (data.match(/ref=\"([^\"]*)\"/)||[])[1]};\n\treturn o;\n}\nfunction write_ws_xml_autofilter(data, ws, wb, idx) {\n\tvar ref = typeof data.ref == \"string\" ? data.ref : encode_range(data.ref);\n\tif(!wb.Workbook) wb.Workbook = ({Sheets:[]});\n\tif(!wb.Workbook.Names) wb.Workbook.Names = [];\n\tvar names = wb.Workbook.Names;\n\tvar range = decode_range(ref);\n\tif(range.s.r == range.e.r) { range.e.r = decode_range(ws[\"!ref\"]).e.r; ref = encode_range(range); }\n\tfor(var i = 0; i < names.length; ++i) {\n\t\tvar name = names[i];\n\t\tif(name.Name != '_xlnm._FilterDatabase') continue;\n\t\tif(name.Sheet != idx) continue;\n\t\tname.Ref = \"'\" + wb.SheetNames[idx] + \"'!\" + ref; break;\n\t}\n\tif(i == names.length) names.push({ Name: '_xlnm._FilterDatabase', Sheet: idx, Ref: \"'\" + wb.SheetNames[idx] + \"'!\" + ref });\n\treturn writextag(\"autoFilter\", null, {ref:ref});\n}\n\n/* 18.3.1.88 sheetViews CT_SheetViews */\n/* 18.3.1.87 sheetView CT_SheetView */\nvar sviewregex = /<(?:\\w:)?sheetView(?:[^>a-z][^>]*)?\\/?>/;\nfunction parse_ws_xml_sheetviews(data, wb) {\n\tif(!wb.Views) wb.Views = [{}];\n\t(data.match(sviewregex)||[]).forEach(function(r, i) {\n\t\tvar tag = parsexmltag(r);\n\t\t// $FlowIgnore\n\t\tif(!wb.Views[i]) wb.Views[i] = {};\n\t\t// $FlowIgnore\n\t\tif(parsexmlbool(tag.rightToLeft)) wb.Views[i].RTL = true;\n\t});\n}\nfunction write_ws_xml_sheetviews(ws, opts, idx, wb) {\n\tvar sview = ({workbookViewId:\"0\"});\n\t// $FlowIgnore\n\tif((((wb||{}).Workbook||{}).Views||[])[0]) sview.rightToLeft = wb.Workbook.Views[0].RTL ? \"1\" : \"0\";\n\treturn writextag(\"sheetViews\", writextag(\"sheetView\", null, sview), {});\n}\n\nfunction write_ws_xml_cell(cell, ref, ws, opts) {\n\tif(cell.v === undefined && typeof cell.f !== \"string\" || cell.t === 'z') return \"\";\n\tvar vv = \"\";\n\tvar oldt = cell.t, oldv = cell.v;\n\tif(cell.t !== \"z\") switch(cell.t) {\n\t\tcase 'b': vv = cell.v ? \"1\" : \"0\"; break;\n\t\tcase 'n': vv = ''+cell.v; break;\n\t\tcase 'e': vv = BErr[cell.v]; break;\n\t\tcase 'd':\n\t\t\tif(opts && opts.cellDates) vv = parseDate(cell.v, -1).toISOString();\n\t\t\telse {\n\t\t\t\tcell = dup(cell);\n\t\t\t\tcell.t = 'n';\n\t\t\t\tvv = ''+(cell.v = datenum(parseDate(cell.v)));\n\t\t\t}\n\t\t\tif(typeof cell.z === 'undefined') cell.z = SSF._table[14];\n\t\t\tbreak;\n\t\tdefault: vv = cell.v; break;\n\t}\n\tvar v = writetag('v', escapexml(vv)), o = ({r:ref});\n\t/* TODO: cell style */\n\tvar os = get_cell_style(opts.cellXfs, cell, opts);\n\tif(os !== 0) o.s = os;\n\tswitch(cell.t) {\n\t\tcase 'n': break;\n\t\tcase 'd': o.t = \"d\"; break;\n\t\tcase 'b': o.t = \"b\"; break;\n\t\tcase 'e': o.t = \"e\"; break;\n\t\tcase 'z': break;\n\t\tdefault: if(cell.v == null) { delete cell.t; break; }\n\t\t\tif(opts && opts.bookSST) {\n\t\t\t\tv = writetag('v', ''+get_sst_id(opts.Strings, cell.v, opts.revStrings));\n\t\t\t\to.t = \"s\"; break;\n\t\t\t}\n\t\t\to.t = \"str\"; break;\n\t}\n\tif(cell.t != oldt) { cell.t = oldt; cell.v = oldv; }\n\tif(typeof cell.f == \"string\" && cell.f) {\n\t\tvar ff = cell.F && cell.F.slice(0, ref.length) == ref ? {t:\"array\", ref:cell.F} : null;\n\t\tv = writextag('f', escapexml(cell.f), ff) + (cell.v != null ? v : \"\");\n\t}\n\tif(cell.l) ws['!links'].push([ref, cell.l]);\n\tif(cell.c) ws['!comments'].push([ref, cell.c]);\n\treturn writextag('c', v, o);\n}\n\nvar parse_ws_xml_data = (function() {\n\tvar cellregex = /<(?:\\w+:)?c[ \\/>]/, rowregex = /<\\/(?:\\w+:)?row>/;\n\tvar rregex = /r=[\"']([^\"']*)[\"']/, isregex = /<(?:\\w+:)?is>([\\S\\s]*?)<\\/(?:\\w+:)?is>/;\n\tvar refregex = /ref=[\"']([^\"']*)[\"']/;\n\tvar match_v = matchtag(\"v\"), match_f = matchtag(\"f\");\n\nreturn function parse_ws_xml_data(sdata, s, opts, guess, themes, styles) {\n\tvar ri = 0, x = \"\", cells = [], cref = [], idx=0, i=0, cc=0, d=\"\", p;\n\tvar tag, tagr = 0, tagc = 0;\n\tvar sstr, ftag;\n\tvar fmtid = 0, fillid = 0;\n\tvar do_format = Array.isArray(styles.CellXf), cf;\n\tvar arrayf = [];\n\tvar sharedf = [];\n\tvar dense = Array.isArray(s);\n\tvar rows = [], rowobj = {}, rowrite = false;\n\tvar sheetStubs = !!opts.sheetStubs;\n\tfor(var marr = sdata.split(rowregex), mt = 0, marrlen = marr.length; mt != marrlen; ++mt) {\n\t\tx = marr[mt].trim();\n\t\tvar xlen = x.length;\n\t\tif(xlen === 0) continue;\n\n\t\t/* 18.3.1.73 row CT_Row */\n\t\tfor(ri = 0; ri < xlen; ++ri) if(x.charCodeAt(ri) === 62) break; ++ri;\n\t\ttag = parsexmltag(x.slice(0,ri), true);\n\t\ttagr = tag.r != null ? parseInt(tag.r, 10) : tagr+1; tagc = -1;\n\t\tif(opts.sheetRows && opts.sheetRows < tagr) continue;\n\t\tif(guess.s.r > tagr - 1) guess.s.r = tagr - 1;\n\t\tif(guess.e.r < tagr - 1) guess.e.r = tagr - 1;\n\n\t\tif(opts && opts.cellStyles) {\n\t\t\trowobj = {}; rowrite = false;\n\t\t\tif(tag.ht) { rowrite = true; rowobj.hpt = parseFloat(tag.ht); rowobj.hpx = pt2px(rowobj.hpt); }\n\t\t\tif(tag.hidden == \"1\") { rowrite = true; rowobj.hidden = true; }\n\t\t\tif(tag.outlineLevel != null) { rowrite = true; rowobj.level = +tag.outlineLevel; }\n\t\t\tif(rowrite) rows[tagr-1] = rowobj;\n\t\t}\n\n\t\t/* 18.3.1.4 c CT_Cell */\n\t\tcells = x.slice(ri).split(cellregex);\n\t\tfor(var rslice = 0; rslice != cells.length; ++rslice) if(cells[rslice].trim().charAt(0) != \"<\") break;\n\t\tcells = cells.slice(rslice);\n\t\tfor(ri = 0; ri != cells.length; ++ri) {\n\t\t\tx = cells[ri].trim();\n\t\t\tif(x.length === 0) continue;\n\t\t\tcref = x.match(rregex); idx = ri; i=0; cc=0;\n\t\t\tx = \"\":\"\") + x;\n\t\t\tif(cref != null && cref.length === 2) {\n\t\t\t\tidx = 0; d=cref[1];\n\t\t\t\tfor(i=0; i != d.length; ++i) {\n\t\t\t\t\tif((cc=d.charCodeAt(i)-64) < 1 || cc > 26) break;\n\t\t\t\t\tidx = 26*idx + cc;\n\t\t\t\t}\n\t\t\t\t--idx;\n\t\t\t\ttagc = idx;\n\t\t\t} else ++tagc;\n\t\t\tfor(i = 0; i != x.length; ++i) if(x.charCodeAt(i) === 62) break; ++i;\n\t\t\ttag = parsexmltag(x.slice(0,i), true);\n\t\t\tif(!tag.r) tag.r = encode_cell({r:tagr-1, c:tagc});\n\t\t\td = x.slice(i);\n\t\t\tp = ({t:\"\"});\n\n\t\t\tif((cref=d.match(match_v))!= null && cref[1] !== '') p.v=unescapexml(cref[1]);\n\t\t\tif(opts.cellFormula) {\n\t\t\t\tif((cref=d.match(match_f))!= null && cref[1] !== '') {\n\t\t\t\t\t/* TODO: match against XLSXFutureFunctions */\n\t\t\t\t\tp.f=unescapexml(utf8read(cref[1])).replace(/\\r\\n/g, \"\\n\");\n\t\t\t\t\tif(!opts.xlfn) p.f = _xlfn(p.f);\n\t\t\t\t\tif(cref[0].indexOf('t=\"array\"') > -1) {\n\t\t\t\t\t\tp.F = (d.match(refregex)||[])[1];\n\t\t\t\t\t\tif(p.F.indexOf(\":\") > -1) arrayf.push([safe_decode_range(p.F), p.F]);\n\t\t\t\t\t} else if(cref[0].indexOf('t=\"shared\"') > -1) {\n\t\t\t\t\t\t// TODO: parse formula\n\t\t\t\t\t\tftag = parsexmltag(cref[0]);\n\t\t\t\t\t\tvar ___f = unescapexml(utf8read(cref[1]));\n\t\t\t\t\t\tif(!opts.xlfn) ___f = _xlfn(___f);\n\t\t\t\t\t\tsharedf[parseInt(ftag.si, 10)] = [ftag, ___f, tag.r];\n\t\t\t\t\t}\n\t\t\t\t} else if((cref=d.match(/]*\\/>/))) {\n\t\t\t\t\tftag = parsexmltag(cref[0]);\n\t\t\t\t\tif(sharedf[ftag.si]) p.f = shift_formula_xlsx(sharedf[ftag.si][1], sharedf[ftag.si][2]/*[0].ref*/, tag.r);\n\t\t\t\t}\n\t\t\t\t/* TODO: factor out contains logic */\n\t\t\t\tvar _tag = decode_cell(tag.r);\n\t\t\t\tfor(i = 0; i < arrayf.length; ++i)\n\t\t\t\t\tif(_tag.r >= arrayf[i][0].s.r && _tag.r <= arrayf[i][0].e.r)\n\t\t\t\t\t\tif(_tag.c >= arrayf[i][0].s.c && _tag.c <= arrayf[i][0].e.c)\n\t\t\t\t\t\t\tp.F = arrayf[i][1];\n\t\t\t}\n\n\t\t\tif(tag.t == null && p.v === undefined) {\n\t\t\t\tif(p.f || p.F) {\n\t\t\t\t\tp.v = 0; p.t = \"n\";\n\t\t\t\t} else if(!sheetStubs) continue;\n\t\t\t\telse p.t = \"z\";\n\t\t\t}\n\t\t\telse p.t = tag.t || \"n\";\n\t\t\tif(guess.s.c > tagc) guess.s.c = tagc;\n\t\t\tif(guess.e.c < tagc) guess.e.c = tagc;\n\t\t\t/* 18.18.11 t ST_CellType */\n\t\t\tswitch(p.t) {\n\t\t\t\tcase 'n':\n\t\t\t\t\tif(p.v == \"\" || p.v == null) {\n\t\t\t\t\t\tif(!sheetStubs) continue;\n\t\t\t\t\t\tp.t = 'z';\n\t\t\t\t\t} else p.v = parseFloat(p.v);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 's':\n\t\t\t\t\tif(typeof p.v == 'undefined') {\n\t\t\t\t\t\tif(!sheetStubs) continue;\n\t\t\t\t\t\tp.t = 'z';\n\t\t\t\t\t} else {\n\t\t\t\t\t\tsstr = strs[parseInt(p.v, 10)];\n\t\t\t\t\t\tp.v = sstr.t;\n\t\t\t\t\t\tp.r = sstr.r;\n\t\t\t\t\t\tif(opts.cellHTML) p.h = sstr.h;\n\t\t\t\t\t}\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'str':\n\t\t\t\t\tp.t = \"s\";\n\t\t\t\t\tp.v = (p.v!=null) ? utf8read(p.v) : '';\n\t\t\t\t\tif(opts.cellHTML) p.h = escapehtml(p.v);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'inlineStr':\n\t\t\t\t\tcref = d.match(isregex);\n\t\t\t\t\tp.t = 's';\n\t\t\t\t\tif(cref != null && (sstr = parse_si(cref[1]))) {\n\t\t\t\t\t\tp.v = sstr.t;\n\t\t\t\t\t\tif(opts.cellHTML) p.h = sstr.h;\n\t\t\t\t\t} else p.v = \"\";\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'b': p.v = parsexmlbool(p.v); break;\n\t\t\t\tcase 'd':\n\t\t\t\t\tif(opts.cellDates) p.v = parseDate(p.v, 1);\n\t\t\t\t\telse { p.v = datenum(parseDate(p.v, 1)); p.t = 'n'; }\n\t\t\t\t\tbreak;\n\t\t\t\t/* error string in .w, number in .v */\n\t\t\t\tcase 'e':\n\t\t\t\t\tif(!opts || opts.cellText !== false) p.w = p.v;\n\t\t\t\t\tp.v = RBErr[p.v]; break;\n\t\t\t}\n\t\t\t/* formatting */\n\t\t\tfmtid = fillid = 0;\n\t\t\tcf = null;\n\t\t\tif(do_format && tag.s !== undefined) {\n\t\t\t\tcf = styles.CellXf[tag.s];\n\t\t\t\tif(cf != null) {\n\t\t\t\t\tif(cf.numFmtId != null) fmtid = cf.numFmtId;\n\t\t\t\t\tif(opts.cellStyles) {\n\t\t\t\t\t\tif(cf.fillId != null) fillid = cf.fillId;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsafe_format(p, fmtid, fillid, opts, themes, styles);\n\t\t\tif(opts.cellDates && do_format && p.t == 'n' && SSF.is_date(SSF._table[fmtid])) { p.t = 'd'; p.v = numdate(p.v); }\n\t\t\tif(dense) {\n\t\t\t\tvar _r = decode_cell(tag.r);\n\t\t\t\tif(!s[_r.r]) s[_r.r] = [];\n\t\t\t\ts[_r.r][_r.c] = p;\n\t\t\t} else s[tag.r] = p;\n\t\t}\n\t}\n\tif(rows.length > 0) s['!rows'] = rows;\n}; })();\n\nfunction write_ws_xml_data(ws, opts, idx, wb) {\n\tvar o = [], r = [], range = safe_decode_range(ws['!ref']), cell=\"\", ref, rr = \"\", cols = [], R=0, C=0, rows = ws['!rows'];\n\tvar dense = Array.isArray(ws);\n\tvar params = ({r:rr}), row, height = -1;\n\tfor(C = range.s.c; C <= range.e.c; ++C) cols[C] = encode_col(C);\n\tfor(R = range.s.r; R <= range.e.r; ++R) {\n\t\tr = [];\n\t\trr = encode_row(R);\n\t\tfor(C = range.s.c; C <= range.e.c; ++C) {\n\t\t\tref = cols[C] + rr;\n\t\t\tvar _cell = dense ? (ws[R]||[])[C]: ws[ref];\n\t\t\tif(_cell === undefined) continue;\n\t\t\tif((cell = write_ws_xml_cell(_cell, ref, ws, opts, idx, wb)) != null) r.push(cell);\n\t\t}\n\t\tif(r.length > 0 || (rows && rows[R])) {\n\t\t\tparams = ({r:rr});\n\t\t\tif(rows && rows[R]) {\n\t\t\t\trow = rows[R];\n\t\t\t\tif(row.hidden) params.hidden = 1;\n\t\t\t\theight = -1;\n\t\t\t\tif(row.hpx) height = px2pt(row.hpx);\n\t\t\t\telse if(row.hpt) height = row.hpt;\n\t\t\t\tif(height > -1) { params.ht = height; params.customHeight = 1; }\n\t\t\t\tif(row.level) { params.outlineLevel = row.level; }\n\t\t\t}\n\t\t\to[o.length] = (writextag('row', r.join(\"\"), params));\n\t\t}\n\t}\n\tif(rows) for(; R < rows.length; ++R) {\n\t\tif(rows && rows[R]) {\n\t\t\tparams = ({r:R+1});\n\t\t\trow = rows[R];\n\t\t\tif(row.hidden) params.hidden = 1;\n\t\t\theight = -1;\n\t\t\tif (row.hpx) height = px2pt(row.hpx);\n\t\t\telse if (row.hpt) height = row.hpt;\n\t\t\tif (height > -1) { params.ht = height; params.customHeight = 1; }\n\t\t\tif (row.level) { params.outlineLevel = row.level; }\n\t\t\to[o.length] = (writextag('row', \"\", params));\n\t\t}\n\t}\n\treturn o.join(\"\");\n}\n\nvar WS_XML_ROOT = writextag('worksheet', null, {\n\t'xmlns': XMLNS.main[0],\n\t'xmlns:r': XMLNS.r\n});\n\nfunction write_ws_xml(idx, opts, wb, rels) {\n\tvar o = [XML_HEADER, WS_XML_ROOT];\n\tvar s = wb.SheetNames[idx], sidx = 0, rdata = \"\";\n\tvar ws = wb.Sheets[s];\n\tif(ws == null) ws = {};\n\tvar ref = ws['!ref'] || 'A1';\n\tvar range = safe_decode_range(ref);\n\tif(range.e.c > 0x3FFF || range.e.r > 0xFFFFF) {\n\t\tif(opts.WTF) throw new Error(\"Range \" + ref + \" exceeds format limit A1:XFD1048576\");\n\t\trange.e.c = Math.min(range.e.c, 0x3FFF);\n\t\trange.e.r = Math.min(range.e.c, 0xFFFFF);\n\t\tref = encode_range(range);\n\t}\n\tif(!rels) rels = {};\n\tws['!comments'] = [];\n\tvar _drawing = [];\n\n\twrite_ws_xml_sheetpr(ws, wb, idx, opts, o);\n\n\to[o.length] = (writextag('dimension', null, {'ref': ref}));\n\n\to[o.length] = write_ws_xml_sheetviews(ws, opts, idx, wb);\n\n\t/* TODO: store in WB, process styles */\n\tif(opts.sheetFormat) o[o.length] = (writextag('sheetFormatPr', null, {\n\t\tdefaultRowHeight:opts.sheetFormat.defaultRowHeight||'16',\n\t\tbaseColWidth:opts.sheetFormat.baseColWidth||'10',\n\t\toutlineLevelRow:opts.sheetFormat.outlineLevelRow||'7'\n\t}));\n\n\tif(ws['!cols'] != null && ws['!cols'].length > 0) o[o.length] = (write_ws_xml_cols(ws, ws['!cols']));\n\n\to[sidx = o.length] = '';\n\tws['!links'] = [];\n\tif(ws['!ref'] != null) {\n\t\trdata = write_ws_xml_data(ws, opts, idx, wb, rels);\n\t\tif(rdata.length > 0) o[o.length] = (rdata);\n\t}\n\tif(o.length>sidx+1) { o[o.length] = (''); o[sidx]=o[sidx].replace(\"/>\",\">\"); }\n\n\t/* sheetCalcPr */\n\n\tif(ws['!protect'] != null) o[o.length] = write_ws_xml_protection(ws['!protect']);\n\n\t/* protectedRanges */\n\t/* scenarios */\n\n\tif(ws['!autofilter'] != null) o[o.length] = write_ws_xml_autofilter(ws['!autofilter'], ws, wb, idx);\n\n\t/* sortState */\n\t/* dataConsolidate */\n\t/* customSheetViews */\n\n\tif(ws['!merges'] != null && ws['!merges'].length > 0) o[o.length] = (write_ws_xml_merges(ws['!merges']));\n\n\t/* phoneticPr */\n\t/* conditionalFormatting */\n\t/* dataValidations */\n\n\tvar relc = -1, rel, rId = -1;\n\tif(ws['!links'].length > 0) {\n\t\to[o.length] = \"\";\nws['!links'].forEach(function(l) {\n\t\t\tif(!l[1].Target) return;\n\t\t\trel = ({\"ref\":l[0]});\n\t\t\tif(l[1].Target.charAt(0) != \"#\") {\n\t\t\t\trId = add_rels(rels, -1, escapexml(l[1].Target).replace(/#.*$/, \"\"), RELS.HLINK);\n\t\t\t\trel[\"r:id\"] = \"rId\"+rId;\n\t\t\t}\n\t\t\tif((relc = l[1].Target.indexOf(\"#\")) > -1) rel.location = escapexml(l[1].Target.slice(relc+1));\n\t\t\tif(l[1].Tooltip) rel.tooltip = escapexml(l[1].Tooltip);\n\t\t\to[o.length] = writextag(\"hyperlink\",null,rel);\n\t\t});\n\t\to[o.length] = \"\";\n\t}\n\tdelete ws['!links'];\n\n\t/* printOptions */\n\n\tif(ws['!margins'] != null) o[o.length] = write_ws_xml_margins(ws['!margins']);\n\n\t/* pageSetup */\n\t/* headerFooter */\n\t/* rowBreaks */\n\t/* colBreaks */\n\t/* customProperties */\n\t/* cellWatches */\n\n\tif(!opts || opts.ignoreEC || (opts.ignoreEC == (void 0))) o[o.length] = writetag(\"ignoredErrors\", writextag(\"ignoredError\", null, {numberStoredAsText:1, sqref:ref}));\n\n\t/* smartTags */\n\n\tif(_drawing.length > 0) {\n\t\trId = add_rels(rels, -1, \"../drawings/drawing\" + (idx+1) + \".xml\", RELS.DRAW);\n\t\to[o.length] = writextag(\"drawing\", null, {\"r:id\":\"rId\" + rId});\n\t\tws['!drawing'] = _drawing;\n\t}\n\n\tif(ws['!comments'].length > 0) {\n\t\trId = add_rels(rels, -1, \"../drawings/vmlDrawing\" + (idx+1) + \".vml\", RELS.VML);\n\t\to[o.length] = writextag(\"legacyDrawing\", null, {\"r:id\":\"rId\" + rId});\n\t\tws['!legacy'] = rId;\n\t}\n\n\t/* legacyDrawingHF */\n\t/* picture */\n\t/* oleObjects */\n\t/* controls */\n\t/* webPublishItems */\n\t/* tableParts */\n\t/* extLst */\n\n\tif(o.length>1) { o[o.length] = (''); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n\n/* [MS-XLSB] 2.4.726 BrtRowHdr */\nfunction parse_BrtRowHdr(data, length) {\n\tvar z = ({});\n\tvar tgt = data.l + length;\n\tz.r = data.read_shift(4);\n\tdata.l += 4; // TODO: ixfe\n\tvar miyRw = data.read_shift(2);\n\tdata.l += 1; // TODO: top/bot padding\n\tvar flags = data.read_shift(1);\n\tdata.l = tgt;\n\tif(flags & 0x07) z.level = flags & 0x07;\n\tif(flags & 0x10) z.hidden = true;\n\tif(flags & 0x20) z.hpt = miyRw / 20;\n\treturn z;\n}\nfunction write_BrtRowHdr(R, range, ws) {\n\tvar o = new_buf(17+8*16);\n\tvar row = (ws['!rows']||[])[R]||{};\n\to.write_shift(4, R);\n\n\to.write_shift(4, 0); /* TODO: ixfe */\n\n\tvar miyRw = 0x0140;\n\tif(row.hpx) miyRw = px2pt(row.hpx) * 20;\n\telse if(row.hpt) miyRw = row.hpt * 20;\n\to.write_shift(2, miyRw);\n\n\to.write_shift(1, 0); /* top/bot padding */\n\n\tvar flags = 0x0;\n\tif(row.level) flags |= row.level;\n\tif(row.hidden) flags |= 0x10;\n\tif(row.hpx || row.hpt) flags |= 0x20;\n\to.write_shift(1, flags);\n\n\to.write_shift(1, 0); /* phonetic guide */\n\n\t/* [MS-XLSB] 2.5.8 BrtColSpan explains the mechanism */\n\tvar ncolspan = 0, lcs = o.l;\n\to.l += 4;\n\n\tvar caddr = {r:R, c:0};\n\tfor(var i = 0; i < 16; ++i) {\n\t\tif((range.s.c > ((i+1) << 10)) || (range.e.c < (i << 10))) continue;\n\t\tvar first = -1, last = -1;\n\t\tfor(var j = (i<<10); j < ((i+1)<<10); ++j) {\n\t\t\tcaddr.c = j;\n\t\t\tvar cell = Array.isArray(ws) ? (ws[caddr.r]||[])[caddr.c] : ws[encode_cell(caddr)];\n\t\t\tif(cell) { if(first < 0) first = j; last = j; }\n\t\t}\n\t\tif(first < 0) continue;\n\t\t++ncolspan;\n\t\to.write_shift(4, first);\n\t\to.write_shift(4, last);\n\t}\n\n\tvar l = o.l;\n\to.l = lcs;\n\to.write_shift(4, ncolspan);\n\to.l = l;\n\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\nfunction write_row_header(ba, ws, range, R) {\n\tvar o = write_BrtRowHdr(R, range, ws);\n\tif((o.length > 17) || (ws['!rows']||[])[R]) write_record(ba, 'BrtRowHdr', o);\n}\n\n/* [MS-XLSB] 2.4.820 BrtWsDim */\nvar parse_BrtWsDim = parse_UncheckedRfX;\nvar write_BrtWsDim = write_UncheckedRfX;\n\n/* [MS-XLSB] 2.4.821 BrtWsFmtInfo */\nfunction parse_BrtWsFmtInfo() {\n}\n//function write_BrtWsFmtInfo(ws, o) { }\n\n/* [MS-XLSB] 2.4.823 BrtWsProp */\nfunction parse_BrtWsProp(data, length) {\n\tvar z = {};\n\t/* TODO: pull flags */\n\tdata.l += 19;\n\tz.name = parse_XLSBCodeName(data, length - 19);\n\treturn z;\n}\nfunction write_BrtWsProp(str, o) {\n\tif(o == null) o = new_buf(84+4*str.length);\n\tfor(var i = 0; i < 3; ++i) o.write_shift(1,0);\n\twrite_BrtColor({auto:1}, o);\n\to.write_shift(-4,-1);\n\to.write_shift(-4,-1);\n\twrite_XLSBCodeName(str, o);\n\treturn o.slice(0, o.l);\n}\n\n/* [MS-XLSB] 2.4.306 BrtCellBlank */\nfunction parse_BrtCellBlank(data) {\n\tvar cell = parse_XLSBCell(data);\n\treturn [cell];\n}\nfunction write_BrtCellBlank(cell, ncell, o) {\n\tif(o == null) o = new_buf(8);\n\treturn write_XLSBCell(ncell, o);\n}\n\n\n/* [MS-XLSB] 2.4.307 BrtCellBool */\nfunction parse_BrtCellBool(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar fBool = data.read_shift(1);\n\treturn [cell, fBool, 'b'];\n}\nfunction write_BrtCellBool(cell, ncell, o) {\n\tif(o == null) o = new_buf(9);\n\twrite_XLSBCell(ncell, o);\n\to.write_shift(1, cell.v ? 1 : 0);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.308 BrtCellError */\nfunction parse_BrtCellError(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar bError = data.read_shift(1);\n\treturn [cell, bError, 'e'];\n}\n\n/* [MS-XLSB] 2.4.311 BrtCellIsst */\nfunction parse_BrtCellIsst(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar isst = data.read_shift(4);\n\treturn [cell, isst, 's'];\n}\nfunction write_BrtCellIsst(cell, ncell, o) {\n\tif(o == null) o = new_buf(12);\n\twrite_XLSBCell(ncell, o);\n\to.write_shift(4, ncell.v);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.313 BrtCellReal */\nfunction parse_BrtCellReal(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_Xnum(data);\n\treturn [cell, value, 'n'];\n}\nfunction write_BrtCellReal(cell, ncell, o) {\n\tif(o == null) o = new_buf(16);\n\twrite_XLSBCell(ncell, o);\n\twrite_Xnum(cell.v, o);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.314 BrtCellRk */\nfunction parse_BrtCellRk(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_RkNumber(data);\n\treturn [cell, value, 'n'];\n}\nfunction write_BrtCellRk(cell, ncell, o) {\n\tif(o == null) o = new_buf(12);\n\twrite_XLSBCell(ncell, o);\n\twrite_RkNumber(cell.v, o);\n\treturn o;\n}\n\n\n/* [MS-XLSB] 2.4.317 BrtCellSt */\nfunction parse_BrtCellSt(data) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_XLWideString(data);\n\treturn [cell, value, 'str'];\n}\nfunction write_BrtCellSt(cell, ncell, o) {\n\tif(o == null) o = new_buf(12 + 4 * cell.v.length);\n\twrite_XLSBCell(ncell, o);\n\twrite_XLWideString(cell.v, o);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.653 BrtFmlaBool */\nfunction parse_BrtFmlaBool(data, length, opts) {\n\tvar end = data.l + length;\n\tvar cell = parse_XLSBCell(data);\n\tcell.r = opts['!row'];\n\tvar value = data.read_shift(1);\n\tvar o = [cell, value, 'b'];\n\tif(opts.cellFormula) {\n\t\tdata.l += 2;\n\t\tvar formula = parse_XLSBCellParsedFormula(data, end - data.l, opts);\n\t\to[3] = stringify_formula(formula, null/*range*/, cell, opts.supbooks, opts);/* TODO */\n\t}\n\telse data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.654 BrtFmlaError */\nfunction parse_BrtFmlaError(data, length, opts) {\n\tvar end = data.l + length;\n\tvar cell = parse_XLSBCell(data);\n\tcell.r = opts['!row'];\n\tvar value = data.read_shift(1);\n\tvar o = [cell, value, 'e'];\n\tif(opts.cellFormula) {\n\t\tdata.l += 2;\n\t\tvar formula = parse_XLSBCellParsedFormula(data, end - data.l, opts);\n\t\to[3] = stringify_formula(formula, null/*range*/, cell, opts.supbooks, opts);/* TODO */\n\t}\n\telse data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.655 BrtFmlaNum */\nfunction parse_BrtFmlaNum(data, length, opts) {\n\tvar end = data.l + length;\n\tvar cell = parse_XLSBCell(data);\n\tcell.r = opts['!row'];\n\tvar value = parse_Xnum(data);\n\tvar o = [cell, value, 'n'];\n\tif(opts.cellFormula) {\n\t\tdata.l += 2;\n\t\tvar formula = parse_XLSBCellParsedFormula(data, end - data.l, opts);\n\t\to[3] = stringify_formula(formula, null/*range*/, cell, opts.supbooks, opts);/* TODO */\n\t}\n\telse data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.656 BrtFmlaString */\nfunction parse_BrtFmlaString(data, length, opts) {\n\tvar end = data.l + length;\n\tvar cell = parse_XLSBCell(data);\n\tcell.r = opts['!row'];\n\tvar value = parse_XLWideString(data);\n\tvar o = [cell, value, 'str'];\n\tif(opts.cellFormula) {\n\t\tdata.l += 2;\n\t\tvar formula = parse_XLSBCellParsedFormula(data, end - data.l, opts);\n\t\to[3] = stringify_formula(formula, null/*range*/, cell, opts.supbooks, opts);/* TODO */\n\t}\n\telse data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.682 BrtMergeCell */\nvar parse_BrtMergeCell = parse_UncheckedRfX;\nvar write_BrtMergeCell = write_UncheckedRfX;\n/* [MS-XLSB] 2.4.107 BrtBeginMergeCells */\nfunction write_BrtBeginMergeCells(cnt, o) {\n\tif(o == null) o = new_buf(4);\n\to.write_shift(4, cnt);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.662 BrtHLink */\nfunction parse_BrtHLink(data, length) {\n\tvar end = data.l + length;\n\tvar rfx = parse_UncheckedRfX(data, 16);\n\tvar relId = parse_XLNullableWideString(data);\n\tvar loc = parse_XLWideString(data);\n\tvar tooltip = parse_XLWideString(data);\n\tvar display = parse_XLWideString(data);\n\tdata.l = end;\n\tvar o = ({rfx:rfx, relId:relId, loc:loc, display:display});\n\tif(tooltip) o.Tooltip = tooltip;\n\treturn o;\n}\nfunction write_BrtHLink(l, rId) {\n\tvar o = new_buf(50+4*(l[1].Target.length + (l[1].Tooltip || \"\").length));\n\twrite_UncheckedRfX({s:decode_cell(l[0]), e:decode_cell(l[0])}, o);\n\twrite_RelID(\"rId\" + rId, o);\n\tvar locidx = l[1].Target.indexOf(\"#\");\n\tvar loc = locidx == -1 ? \"\" : l[1].Target.slice(locidx+1);\n\twrite_XLWideString(loc || \"\", o);\n\twrite_XLWideString(l[1].Tooltip || \"\", o);\n\twrite_XLWideString(\"\", o);\n\treturn o.slice(0, o.l);\n}\n\n/* [MS-XLSB] 2.4.692 BrtPane */\nfunction parse_BrtPane(/*data, length, opts*/) {\n}\n\n/* [MS-XLSB] 2.4.6 BrtArrFmla */\nfunction parse_BrtArrFmla(data, length, opts) {\n\tvar end = data.l + length;\n\tvar rfx = parse_RfX(data, 16);\n\tvar fAlwaysCalc = data.read_shift(1);\n\tvar o = [rfx]; o[2] = fAlwaysCalc;\n\tif(opts.cellFormula) {\n\t\tvar formula = parse_XLSBArrayParsedFormula(data, end - data.l, opts);\n\t\to[1] = formula;\n\t} else data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.750 BrtShrFmla */\nfunction parse_BrtShrFmla(data, length, opts) {\n\tvar end = data.l + length;\n\tvar rfx = parse_UncheckedRfX(data, 16);\n\tvar o = [rfx];\n\tif(opts.cellFormula) {\n\t\tvar formula = parse_XLSBSharedParsedFormula(data, end - data.l, opts);\n\t\to[1] = formula;\n\t\tdata.l = end;\n\t} else data.l = end;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.323 BrtColInfo */\n/* TODO: once XLS ColInfo is set, combine the functions */\nfunction write_BrtColInfo(C, col, o) {\n\tif(o == null) o = new_buf(18);\n\tvar p = col_obj_w(C, col);\n\to.write_shift(-4, C);\n\to.write_shift(-4, C);\n\to.write_shift(4, (p.width || 10) * 256);\n\to.write_shift(4, 0/*ixfe*/); // style\n\tvar flags = 0;\n\tif(col.hidden) flags |= 0x01;\n\tif(typeof p.width == 'number') flags |= 0x02;\n\tif(col.level) flags |= (col.level << 8);\n\to.write_shift(2, flags); // bit flag\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.678 BrtMargins */\nvar BrtMarginKeys = [\"left\",\"right\",\"top\",\"bottom\",\"header\",\"footer\"];\nfunction parse_BrtMargins(data) {\n\tvar margins = ({});\n\tBrtMarginKeys.forEach(function(k) { margins[k] = parse_Xnum(data, 8); });\n\treturn margins;\n}\nfunction write_BrtMargins(margins, o) {\n\tif(o == null) o = new_buf(6*8);\n\tdefault_margins(margins);\n\tBrtMarginKeys.forEach(function(k) { write_Xnum((margins)[k], o); });\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.299 BrtBeginWsView */\nfunction parse_BrtBeginWsView(data) {\n\tvar f = data.read_shift(2);\n\tdata.l += 28;\n\treturn { RTL: f & 0x20 };\n}\nfunction write_BrtBeginWsView(ws, Workbook, o) {\n\tif(o == null) o = new_buf(30);\n\tvar f = 0x39c;\n\tif((((Workbook||{}).Views||[])[0]||{}).RTL) f |= 0x20;\n\to.write_shift(2, f); // bit flag\n\to.write_shift(4, 0);\n\to.write_shift(4, 0); // view first row\n\to.write_shift(4, 0); // view first col\n\to.write_shift(1, 0); // gridline color ICV\n\to.write_shift(1, 0);\n\to.write_shift(2, 0);\n\to.write_shift(2, 100); // zoom scale\n\to.write_shift(2, 0);\n\to.write_shift(2, 0);\n\to.write_shift(2, 0);\n\to.write_shift(4, 0); // workbook view id\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.309 BrtCellIgnoreEC */\nfunction write_BrtCellIgnoreEC(ref) {\n\tvar o = new_buf(24);\n\to.write_shift(4, 4);\n\to.write_shift(4, 1);\n\twrite_UncheckedRfX(ref, o);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.748 BrtSheetProtection */\nfunction write_BrtSheetProtection(sp, o) {\n\tif(o == null) o = new_buf(16*4+2);\n\to.write_shift(2, sp.password ? crypto_CreatePasswordVerifier_Method1(sp.password) : 0);\n\to.write_shift(4, 1); // this record should not be written if no protection\n\t[\n\t\t[\"objects\", false], // fObjects\n\t\t[\"scenarios\", false], // fScenarios\n\t\t[\"formatCells\", true], // fFormatCells\n\t\t[\"formatColumns\", true], // fFormatColumns\n\t\t[\"formatRows\", true], // fFormatRows\n\t\t[\"insertColumns\", true], // fInsertColumns\n\t\t[\"insertRows\", true], // fInsertRows\n\t\t[\"insertHyperlinks\", true], // fInsertHyperlinks\n\t\t[\"deleteColumns\", true], // fDeleteColumns\n\t\t[\"deleteRows\", true], // fDeleteRows\n\t\t[\"selectLockedCells\", false], // fSelLockedCells\n\t\t[\"sort\", true], // fSort\n\t\t[\"autoFilter\", true], // fAutoFilter\n\t\t[\"pivotTables\", true], // fPivotTables\n\t\t[\"selectUnlockedCells\", false] // fSelUnlockedCells\n\t].forEach(function(n) {\nif(n[1]) o.write_shift(4, sp[n[0]] != null && !sp[n[0]] ? 1 : 0);\n\t\telse o.write_shift(4, sp[n[0]] != null && sp[n[0]] ? 0 : 1);\n\t});\n\treturn o;\n}\n\nfunction parse_BrtDVal(/*data, length, opts*/) {\n}\nfunction parse_BrtDVal14(/*data, length, opts*/) {\n}\n/* [MS-XLSB] 2.1.7.61 Worksheet */\nfunction parse_ws_bin(data, _opts, idx, rels, wb, themes, styles) {\n\tif(!data) return data;\n\tvar opts = _opts || {};\n\tif(!rels) rels = {'!id':{}};\n\tif(DENSE != null && opts.dense == null) opts.dense = DENSE;\n\tvar s = (opts.dense ? [] : {});\n\n\tvar ref;\n\tvar refguess = {s: {r:2000000, c:2000000}, e: {r:0, c:0} };\n\n\tvar state = [];\n\tvar pass = false, end = false;\n\tvar row, p, cf, R, C, addr, sstr, rr, cell;\n\tvar merges = [];\n\topts.biff = 12;\n\topts['!row'] = 0;\n\n\tvar ai = 0, af = false;\n\n\tvar arrayf = [];\n\tvar sharedf = {};\n\tvar supbooks = opts.supbooks || wb.supbooks || ([[]]);\n\tsupbooks.sharedf = sharedf;\n\tsupbooks.arrayf = arrayf;\n\tsupbooks.SheetNames = wb.SheetNames || wb.Sheets.map(function(x) { return x.name; });\n\tif(!opts.supbooks) {\n\t\topts.supbooks = supbooks;\n\t\tif(wb.Names) for(var i = 0; i < wb.Names.length; ++i) supbooks[0][i+1] = wb.Names[i];\n\t}\n\n\tvar colinfo = [], rowinfo = [];\n\tvar seencol = false;\n\n\trecordhopper(data, function ws_parse(val, R_n, RT) {\n\t\tif(end) return;\n\t\tswitch(RT) {\n\t\t\tcase 0x0094: /* 'BrtWsDim' */\n\t\t\t\tref = val; break;\n\t\t\tcase 0x0000: /* 'BrtRowHdr' */\n\t\t\t\trow = val;\n\t\t\t\tif(opts.sheetRows && opts.sheetRows <= row.r) end=true;\n\t\t\t\trr = encode_row(R = row.r);\n\t\t\t\topts['!row'] = row.r;\n\t\t\t\tif(val.hidden || val.hpt || val.level != null) {\n\t\t\t\t\tif(val.hpt) val.hpx = pt2px(val.hpt);\n\t\t\t\t\trowinfo[val.r] = val;\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0002: /* 'BrtCellRk' */\n\t\t\tcase 0x0003: /* 'BrtCellError' */\n\t\t\tcase 0x0004: /* 'BrtCellBool' */\n\t\t\tcase 0x0005: /* 'BrtCellReal' */\n\t\t\tcase 0x0006: /* 'BrtCellSt' */\n\t\t\tcase 0x0007: /* 'BrtCellIsst' */\n\t\t\tcase 0x0008: /* 'BrtFmlaString' */\n\t\t\tcase 0x0009: /* 'BrtFmlaNum' */\n\t\t\tcase 0x000A: /* 'BrtFmlaBool' */\n\t\t\tcase 0x000B: /* 'BrtFmlaError' */\n\t\t\t\tp = ({t:val[2]});\n\t\t\t\tswitch(val[2]) {\n\t\t\t\t\tcase 'n': p.v = val[1]; break;\n\t\t\t\t\tcase 's': sstr = strs[val[1]]; p.v = sstr.t; p.r = sstr.r; break;\n\t\t\t\t\tcase 'b': p.v = val[1] ? true : false; break;\n\t\t\t\t\tcase 'e': p.v = val[1]; if(opts.cellText !== false) p.w = BErr[p.v]; break;\n\t\t\t\t\tcase 'str': p.t = 's'; p.v = val[1]; break;\n\t\t\t\t}\n\t\t\t\tif((cf = styles.CellXf[val[0].iStyleRef])) safe_format(p,cf.numFmtId,null,opts, themes, styles);\n\t\t\t\tC = val[0].c;\n\t\t\t\tif(opts.dense) { if(!s[R]) s[R] = []; s[R][C] = p; }\n\t\t\t\telse s[encode_col(C) + rr] = p;\n\t\t\t\tif(opts.cellFormula) {\n\t\t\t\t\taf = false;\n\t\t\t\t\tfor(ai = 0; ai < arrayf.length; ++ai) {\n\t\t\t\t\t\tvar aii = arrayf[ai];\n\t\t\t\t\t\tif(row.r >= aii[0].s.r && row.r <= aii[0].e.r)\n\t\t\t\t\t\t\tif(C >= aii[0].s.c && C <= aii[0].e.c) {\n\t\t\t\t\t\t\t\tp.F = encode_range(aii[0]); af = true;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tif(!af && val.length > 3) p.f = val[3];\n\t\t\t\t}\n\t\t\t\tif(refguess.s.r > row.r) refguess.s.r = row.r;\n\t\t\t\tif(refguess.s.c > C) refguess.s.c = C;\n\t\t\t\tif(refguess.e.r < row.r) refguess.e.r = row.r;\n\t\t\t\tif(refguess.e.c < C) refguess.e.c = C;\n\t\t\t\tif(opts.cellDates && cf && p.t == 'n' && SSF.is_date(SSF._table[cf.numFmtId])) {\n\t\t\t\t\tvar _d = SSF.parse_date_code(p.v); if(_d) { p.t = 'd'; p.v = new Date(_d.y, _d.m-1,_d.d,_d.H,_d.M,_d.S,_d.u); }\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0001: /* 'BrtCellBlank' */\n\t\t\t\tif(!opts.sheetStubs || pass) break;\n\t\t\t\tp = ({t:'z',v:undefined});\n\t\t\t\tC = val[0].c;\n\t\t\t\tif(opts.dense) { if(!s[R]) s[R] = []; s[R][C] = p; }\n\t\t\t\telse s[encode_col(C) + rr] = p;\n\t\t\t\tif(refguess.s.r > row.r) refguess.s.r = row.r;\n\t\t\t\tif(refguess.s.c > C) refguess.s.c = C;\n\t\t\t\tif(refguess.e.r < row.r) refguess.e.r = row.r;\n\t\t\t\tif(refguess.e.c < C) refguess.e.c = C;\n\t\t\t\tbreak;\n\n\t\t\tcase 0x00B0: /* 'BrtMergeCell' */\n\t\t\t\tmerges.push(val); break;\n\n\t\t\tcase 0x01EE: /* 'BrtHLink' */\n\t\t\t\tvar rel = rels['!id'][val.relId];\n\t\t\t\tif(rel) {\n\t\t\t\t\tval.Target = rel.Target;\n\t\t\t\t\tif(val.loc) val.Target += \"#\"+val.loc;\n\t\t\t\t\tval.Rel = rel;\n\t\t\t\t} else if(val.relId == '') {\n\t\t\t\t\tval.Target = \"#\" + val.loc;\n\t\t\t\t}\n\t\t\t\tfor(R=val.rfx.s.r;R<=val.rfx.e.r;++R) for(C=val.rfx.s.c;C<=val.rfx.e.c;++C) {\n\t\t\t\t\tif(opts.dense) {\n\t\t\t\t\t\tif(!s[R]) s[R] = [];\n\t\t\t\t\t\tif(!s[R][C]) s[R][C] = {t:'z',v:undefined};\n\t\t\t\t\t\ts[R][C].l = val;\n\t\t\t\t\t} else {\n\t\t\t\t\t\taddr = encode_cell({c:C,r:R});\n\t\t\t\t\t\tif(!s[addr]) s[addr] = {t:'z',v:undefined};\n\t\t\t\t\t\ts[addr].l = val;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 0x01AA: /* 'BrtArrFmla' */\n\t\t\t\tif(!opts.cellFormula) break;\n\t\t\t\tarrayf.push(val);\n\t\t\t\tcell = ((opts.dense ? s[R][C] : s[encode_col(C) + rr]));\n\t\t\t\tcell.f = stringify_formula(val[1], refguess, {r:row.r, c:C}, supbooks, opts);\n\t\t\t\tcell.F = encode_range(val[0]);\n\t\t\t\tbreak;\n\t\t\tcase 0x01AB: /* 'BrtShrFmla' */\n\t\t\t\tif(!opts.cellFormula) break;\n\t\t\t\tsharedf[encode_cell(val[0].s)] = val[1];\n\t\t\t\tcell = (opts.dense ? s[R][C] : s[encode_col(C) + rr]);\n\t\t\t\tcell.f = stringify_formula(val[1], refguess, {r:row.r, c:C}, supbooks, opts);\n\t\t\t\tbreak;\n\n\t\t\t/* identical to 'ColInfo' in XLS */\n\t\t\tcase 0x003C: /* 'BrtColInfo' */\n\t\t\t\tif(!opts.cellStyles) break;\n\t\t\t\twhile(val.e >= val.s) {\n\t\t\t\t\tcolinfo[val.e--] = { width: val.w/256, hidden: !!(val.flags & 0x01), level: val.level };\n\t\t\t\t\tif(!seencol) { seencol = true; find_mdw_colw(val.w/256); }\n\t\t\t\t\tprocess_col(colinfo[val.e+1]);\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 0x00A1: /* 'BrtBeginAFilter' */\n\t\t\t\ts['!autofilter'] = { ref:encode_range(val) };\n\t\t\t\tbreak;\n\n\t\t\tcase 0x01DC: /* 'BrtMargins' */\n\t\t\t\ts['!margins'] = val;\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0093: /* 'BrtWsProp' */\n\t\t\t\tif(!wb.Sheets[idx]) wb.Sheets[idx] = {};\n\t\t\t\tif(val.name) wb.Sheets[idx].CodeName = val.name;\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0089: /* 'BrtBeginWsView' */\n\t\t\t\tif(!wb.Views) wb.Views = [{}];\n\t\t\t\tif(!wb.Views[0]) wb.Views[0] = {};\n\t\t\t\tif(val.RTL) wb.Views[0].RTL = true;\n\t\t\t\tbreak;\n\n\t\t\tcase 0x01E5: /* 'BrtWsFmtInfo' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0040: /* 'BrtDVal' */\n\t\t\tcase 0x041D: /* 'BrtDVal14' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0097: /* 'BrtPane' */\n\t\t\t\tbreak;\n\t\t\tcase 0x00AF: /* 'BrtAFilterDateGroupItem' */\n\t\t\tcase 0x0284: /* 'BrtActiveX' */\n\t\t\tcase 0x0271: /* 'BrtBigName' */\n\t\t\tcase 0x0232: /* 'BrtBkHim' */\n\t\t\tcase 0x018C: /* 'BrtBrk' */\n\t\t\tcase 0x0458: /* 'BrtCFIcon' */\n\t\t\tcase 0x047A: /* 'BrtCFRuleExt' */\n\t\t\tcase 0x01D7: /* 'BrtCFVO' */\n\t\t\tcase 0x041A: /* 'BrtCFVO14' */\n\t\t\tcase 0x0289: /* 'BrtCellIgnoreEC' */\n\t\t\tcase 0x0451: /* 'BrtCellIgnoreEC14' */\n\t\t\tcase 0x0031: /* 'BrtCellMeta' */\n\t\t\tcase 0x024D: /* 'BrtCellSmartTagProperty' */\n\t\t\tcase 0x025F: /* 'BrtCellWatch' */\n\t\t\tcase 0x0234: /* 'BrtColor' */\n\t\t\tcase 0x041F: /* 'BrtColor14' */\n\t\t\tcase 0x00A8: /* 'BrtColorFilter' */\n\t\t\tcase 0x00AE: /* 'BrtCustomFilter' */\n\t\t\tcase 0x049C: /* 'BrtCustomFilter14' */\n\t\t\tcase 0x01F3: /* 'BrtDRef' */\n\t\t\tcase 0x01FB: /* 'BrtDXF' */\n\t\t\tcase 0x0226: /* 'BrtDrawing' */\n\t\t\tcase 0x00AB: /* 'BrtDynamicFilter' */\n\t\t\tcase 0x00A7: /* 'BrtFilter' */\n\t\t\tcase 0x0499: /* 'BrtFilter14' */\n\t\t\tcase 0x00A9: /* 'BrtIconFilter' */\n\t\t\tcase 0x049D: /* 'BrtIconFilter14' */\n\t\t\tcase 0x0227: /* 'BrtLegacyDrawing' */\n\t\t\tcase 0x0228: /* 'BrtLegacyDrawingHF' */\n\t\t\tcase 0x0295: /* 'BrtListPart' */\n\t\t\tcase 0x027F: /* 'BrtOleObject' */\n\t\t\tcase 0x01DE: /* 'BrtPageSetup' */\n\t\t\tcase 0x0219: /* 'BrtPhoneticInfo' */\n\t\t\tcase 0x01DD: /* 'BrtPrintOptions' */\n\t\t\tcase 0x0218: /* 'BrtRangeProtection' */\n\t\t\tcase 0x044F: /* 'BrtRangeProtection14' */\n\t\t\tcase 0x02A8: /* 'BrtRangeProtectionIso' */\n\t\t\tcase 0x0450: /* 'BrtRangeProtectionIso14' */\n\t\t\tcase 0x0400: /* 'BrtRwDescent' */\n\t\t\tcase 0x0098: /* 'BrtSel' */\n\t\t\tcase 0x0297: /* 'BrtSheetCalcProp' */\n\t\t\tcase 0x0217: /* 'BrtSheetProtection' */\n\t\t\tcase 0x02A6: /* 'BrtSheetProtectionIso' */\n\t\t\tcase 0x01F8: /* 'BrtSlc' */\n\t\t\tcase 0x0413: /* 'BrtSparkline' */\n\t\t\tcase 0x01AC: /* 'BrtTable' */\n\t\t\tcase 0x00AA: /* 'BrtTop10Filter' */\n\t\t\tcase 0x0C00: /* 'BrtUid' */\n\t\t\tcase 0x0032: /* 'BrtValueMeta' */\n\t\t\tcase 0x0816: /* 'BrtWebExtension' */\n\t\t\tcase 0x0415: /* 'BrtWsFmtInfoEx14' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\t\t\tcase 0x0025: /* 'BrtACBegin' */\n\t\t\t\tstate.push(R_n); pass = true; break;\n\t\t\tcase 0x0026: /* 'BrtACEnd' */\n\t\t\t\tstate.pop(); pass = false; break;\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0){/* empty */}\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0){/* empty */}\n\t\t\t\telse if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t}, opts);\n\n\tdelete opts.supbooks;\n\tdelete opts['!row'];\n\n\tif(!s[\"!ref\"] && (refguess.s.r < 2000000 || ref && (ref.e.r > 0 || ref.e.c > 0 || ref.s.r > 0 || ref.s.c > 0))) s[\"!ref\"] = encode_range(ref || refguess);\n\tif(opts.sheetRows && s[\"!ref\"]) {\n\t\tvar tmpref = safe_decode_range(s[\"!ref\"]);\n\t\tif(opts.sheetRows <= +tmpref.e.r) {\n\t\t\ttmpref.e.r = opts.sheetRows - 1;\n\t\t\tif(tmpref.e.r > refguess.e.r) tmpref.e.r = refguess.e.r;\n\t\t\tif(tmpref.e.r < tmpref.s.r) tmpref.s.r = tmpref.e.r;\n\t\t\tif(tmpref.e.c > refguess.e.c) tmpref.e.c = refguess.e.c;\n\t\t\tif(tmpref.e.c < tmpref.s.c) tmpref.s.c = tmpref.e.c;\n\t\t\ts[\"!fullref\"] = s[\"!ref\"];\n\t\t\ts[\"!ref\"] = encode_range(tmpref);\n\t\t}\n\t}\n\tif(merges.length > 0) s[\"!merges\"] = merges;\n\tif(colinfo.length > 0) s[\"!cols\"] = colinfo;\n\tif(rowinfo.length > 0) s[\"!rows\"] = rowinfo;\n\treturn s;\n}\n\n/* TODO: something useful -- this is a stub */\nfunction write_ws_bin_cell(ba, cell, R, C, opts, ws) {\n\tif(cell.v === undefined) return;\n\tvar vv = \"\";\n\tswitch(cell.t) {\n\t\tcase 'b': vv = cell.v ? \"1\" : \"0\"; break;\n\t\tcase 'd': // no BrtCellDate :(\n\t\t\tcell = dup(cell);\n\t\t\tcell.z = cell.z || SSF._table[14];\n\t\t\tcell.v = datenum(parseDate(cell.v)); cell.t = 'n';\n\t\t\tbreak;\n\t\t/* falls through */\n\t\tcase 'n': case 'e': vv = ''+cell.v; break;\n\t\tdefault: vv = cell.v; break;\n\t}\n\tvar o = ({r:R, c:C});\n\t/* TODO: cell style */\n\to.s = get_cell_style(opts.cellXfs, cell, opts);\n\tif(cell.l) ws['!links'].push([encode_cell(o), cell.l]);\n\tif(cell.c) ws['!comments'].push([encode_cell(o), cell.c]);\n\tswitch(cell.t) {\n\t\tcase 's': case 'str':\n\t\t\tif(opts.bookSST) {\n\t\t\t\tvv = get_sst_id(opts.Strings, (cell.v), opts.revStrings);\n\t\t\t\to.t = \"s\"; o.v = vv;\n\t\t\t\twrite_record(ba, \"BrtCellIsst\", write_BrtCellIsst(cell, o));\n\t\t\t} else {\n\t\t\t\to.t = \"str\";\n\t\t\t\twrite_record(ba, \"BrtCellSt\", write_BrtCellSt(cell, o));\n\t\t\t}\n\t\t\treturn;\n\t\tcase 'n':\n\t\t\t/* TODO: determine threshold for Real vs RK */\n\t\t\tif(cell.v == (cell.v | 0) && cell.v > -1000 && cell.v < 1000) write_record(ba, \"BrtCellRk\", write_BrtCellRk(cell, o));\n\t\t\telse write_record(ba, \"BrtCellReal\", write_BrtCellReal(cell, o));\n\t\t\treturn;\n\t\tcase 'b':\n\t\t\to.t = \"b\";\n\t\t\twrite_record(ba, \"BrtCellBool\", write_BrtCellBool(cell, o));\n\t\t\treturn;\n\t\tcase 'e': /* TODO: error */ o.t = \"e\"; break;\n\t}\n\twrite_record(ba, \"BrtCellBlank\", write_BrtCellBlank(cell, o));\n}\n\nfunction write_CELLTABLE(ba, ws, idx, opts) {\n\tvar range = safe_decode_range(ws['!ref'] || \"A1\"), ref, rr = \"\", cols = [];\n\twrite_record(ba, 'BrtBeginSheetData');\n\tvar dense = Array.isArray(ws);\n\tvar cap = range.e.r;\n\tif(ws['!rows']) cap = Math.max(range.e.r, ws['!rows'].length - 1);\n\tfor(var R = range.s.r; R <= cap; ++R) {\n\t\trr = encode_row(R);\n\t\t/* [ACCELLTABLE] */\n\t\t/* BrtRowHdr */\n\t\twrite_row_header(ba, ws, range, R);\n\t\tif(R <= range.e.r) for(var C = range.s.c; C <= range.e.c; ++C) {\n\t\t\t/* *16384CELL */\n\t\t\tif(R === range.s.r) cols[C] = encode_col(C);\n\t\t\tref = cols[C] + rr;\n\t\t\tvar cell = dense ? (ws[R]||[])[C] : ws[ref];\n\t\t\tif(!cell) continue;\n\t\t\t/* write cell */\n\t\t\twrite_ws_bin_cell(ba, cell, R, C, opts, ws);\n\t\t}\n\t}\n\twrite_record(ba, 'BrtEndSheetData');\n}\n\nfunction write_MERGECELLS(ba, ws) {\n\tif(!ws || !ws['!merges']) return;\n\twrite_record(ba, 'BrtBeginMergeCells', write_BrtBeginMergeCells(ws['!merges'].length));\n\tws['!merges'].forEach(function(m) { write_record(ba, 'BrtMergeCell', write_BrtMergeCell(m)); });\n\twrite_record(ba, 'BrtEndMergeCells');\n}\n\nfunction write_COLINFOS(ba, ws) {\n\tif(!ws || !ws['!cols']) return;\n\twrite_record(ba, 'BrtBeginColInfos');\n\tws['!cols'].forEach(function(m, i) { if(m) write_record(ba, 'BrtColInfo', write_BrtColInfo(i, m)); });\n\twrite_record(ba, 'BrtEndColInfos');\n}\n\nfunction write_IGNOREECS(ba, ws) {\n\tif(!ws || !ws['!ref']) return;\n\twrite_record(ba, 'BrtBeginCellIgnoreECs');\n\twrite_record(ba, 'BrtCellIgnoreEC', write_BrtCellIgnoreEC(safe_decode_range(ws['!ref'])));\n\twrite_record(ba, 'BrtEndCellIgnoreECs');\n}\n\nfunction write_HLINKS(ba, ws, rels) {\n\t/* *BrtHLink */\n\tws['!links'].forEach(function(l) {\n\t\tif(!l[1].Target) return;\n\t\tvar rId = add_rels(rels, -1, l[1].Target.replace(/#.*$/, \"\"), RELS.HLINK);\n\t\twrite_record(ba, \"BrtHLink\", write_BrtHLink(l, rId));\n\t});\n\tdelete ws['!links'];\n}\nfunction write_LEGACYDRAWING(ba, ws, idx, rels) {\n\t/* [BrtLegacyDrawing] */\n\tif(ws['!comments'].length > 0) {\n\t\tvar rId = add_rels(rels, -1, \"../drawings/vmlDrawing\" + (idx+1) + \".vml\", RELS.VML);\n\t\twrite_record(ba, \"BrtLegacyDrawing\", write_RelID(\"rId\" + rId));\n\t\tws['!legacy'] = rId;\n\t}\n}\n\nfunction write_AUTOFILTER(ba, ws, wb, idx) {\n\tif(!ws['!autofilter']) return;\n\tvar data = ws['!autofilter'];\n\tvar ref = typeof data.ref === \"string\" ? data.ref : encode_range(data.ref);\n\n\t/* Update FilterDatabase defined name for the worksheet */\n\tif(!wb.Workbook) wb.Workbook = ({Sheets:[]});\n\tif(!wb.Workbook.Names) wb.Workbook.Names = [];\n\tvar names = wb.Workbook.Names;\n\tvar range = decode_range(ref);\n\tif(range.s.r == range.e.r) { range.e.r = decode_range(ws[\"!ref\"]).e.r; ref = encode_range(range); }\n\tfor(var i = 0; i < names.length; ++i) {\n\t\tvar name = names[i];\n\t\tif(name.Name != '_xlnm._FilterDatabase') continue;\n\t\tif(name.Sheet != idx) continue;\n\t\tname.Ref = \"'\" + wb.SheetNames[idx] + \"'!\" + ref; break;\n\t}\n\tif(i == names.length) names.push({ Name: '_xlnm._FilterDatabase', Sheet: idx, Ref: \"'\" + wb.SheetNames[idx] + \"'!\" + ref });\n\n\twrite_record(ba, \"BrtBeginAFilter\", write_UncheckedRfX(safe_decode_range(ref)));\n\t/* *FILTERCOLUMN */\n\t/* [SORTSTATE] */\n\t/* BrtEndAFilter */\n\twrite_record(ba, \"BrtEndAFilter\");\n}\n\nfunction write_WSVIEWS2(ba, ws, Workbook) {\n\twrite_record(ba, \"BrtBeginWsViews\");\n\t{ /* 1*WSVIEW2 */\n\t\t/* [ACUID] */\n\t\twrite_record(ba, \"BrtBeginWsView\", write_BrtBeginWsView(ws, Workbook));\n\t\t/* [BrtPane] */\n\t\t/* *4BrtSel */\n\t\t/* *4SXSELECT */\n\t\t/* *FRT */\n\t\twrite_record(ba, \"BrtEndWsView\");\n\t}\n\t/* *FRT */\n\twrite_record(ba, \"BrtEndWsViews\");\n}\n\nfunction write_WSFMTINFO() {\n\t/* [ACWSFMTINFO] */\n\t//write_record(ba, \"BrtWsFmtInfo\", write_BrtWsFmtInfo(ws));\n}\n\nfunction write_SHEETPROTECT(ba, ws) {\n\tif(!ws['!protect']) return;\n\t/* [BrtSheetProtectionIso] */\n\twrite_record(ba, \"BrtSheetProtection\", write_BrtSheetProtection(ws['!protect']));\n}\n\nfunction write_ws_bin(idx, opts, wb, rels) {\n\tvar ba = buf_array();\n\tvar s = wb.SheetNames[idx], ws = wb.Sheets[s] || {};\n\tvar c = s; try { if(wb && wb.Workbook) c = wb.Workbook.Sheets[idx].CodeName || c; } catch(e) {}\n\tvar r = safe_decode_range(ws['!ref'] || \"A1\");\n\tif(r.e.c > 0x3FFF || r.e.r > 0xFFFFF) {\n\t\tif(opts.WTF) throw new Error(\"Range \" + (ws['!ref'] || \"A1\") + \" exceeds format limit A1:XFD1048576\");\n\t\tr.e.c = Math.min(r.e.c, 0x3FFF);\n\t\tr.e.r = Math.min(r.e.c, 0xFFFFF);\n\t}\n\tws['!links'] = [];\n\t/* passed back to write_zip and removed there */\n\tws['!comments'] = [];\n\twrite_record(ba, \"BrtBeginSheet\");\n\tif(wb.vbaraw) write_record(ba, \"BrtWsProp\", write_BrtWsProp(c));\n\twrite_record(ba, \"BrtWsDim\", write_BrtWsDim(r));\n\twrite_WSVIEWS2(ba, ws, wb.Workbook);\n\twrite_WSFMTINFO(ba, ws);\n\twrite_COLINFOS(ba, ws, idx, opts, wb);\n\twrite_CELLTABLE(ba, ws, idx, opts, wb);\n\t/* [BrtSheetCalcProp] */\n\twrite_SHEETPROTECT(ba, ws);\n\t/* *([BrtRangeProtectionIso] BrtRangeProtection) */\n\t/* [SCENMAN] */\n\twrite_AUTOFILTER(ba, ws, wb, idx);\n\t/* [SORTSTATE] */\n\t/* [DCON] */\n\t/* [USERSHVIEWS] */\n\twrite_MERGECELLS(ba, ws);\n\t/* [BrtPhoneticInfo] */\n\t/* *CONDITIONALFORMATTING */\n\t/* [DVALS] */\n\twrite_HLINKS(ba, ws, rels);\n\t/* [BrtPrintOptions] */\n\tif(ws['!margins']) write_record(ba, \"BrtMargins\", write_BrtMargins(ws['!margins']));\n\t/* [BrtPageSetup] */\n\t/* [HEADERFOOTER] */\n\t/* [RWBRK] */\n\t/* [COLBRK] */\n\t/* *BrtBigName */\n\t/* [CELLWATCHES] */\n\tif(!opts || opts.ignoreEC || (opts.ignoreEC == (void 0))) write_IGNOREECS(ba, ws);\n\t/* [SMARTTAGS] */\n\t/* [BrtDrawing] */\n\twrite_LEGACYDRAWING(ba, ws, idx, rels);\n\t/* [BrtLegacyDrawingHF] */\n\t/* [BrtBkHim] */\n\t/* [OLEOBJECTS] */\n\t/* [ACTIVEXCONTROLS] */\n\t/* [WEBPUBITEMS] */\n\t/* [LISTPARTS] */\n\t/* FRTWORKSHEET */\n\twrite_record(ba, \"BrtEndSheet\");\n\treturn ba.end();\n}\nRELS.CHART = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/chart\";\nRELS.CHARTEX = \"http://schemas.microsoft.com/office/2014/relationships/chartEx\";\n\nfunction parse_Cache(data) {\n\tvar col = [];\n\tvar num = data.match(/^/);\n\tvar f;\n\n\t/* 21.2.2.150 pt CT_NumVal */\n\t(data.match(/(.*?)<\\/c:pt>/mg)||[]).forEach(function(pt) {\n\t\tvar q = pt.match(/(.*)<\\/c:v><\\/c:pt>/);\n\t\tif(!q) return;\n\t\tcol[+q[1]] = num ? +q[2] : q[2];\n\t});\n\n\t/* 21.2.2.71 formatCode CT_Xstring */\n\tvar nf = unescapexml((data.match(/([\\s\\S]*?)<\\/c:formatCode>/) || [\"\",\"General\"])[1]);\n\n\t(data.match(/(.*?)<\\/c:f>/mg)||[]).forEach(function(F) { f = F.replace(/<.*?>/g,\"\"); });\n\n\treturn [col, nf, f];\n}\n\n/* 21.2 DrawingML - Charts */\nfunction parse_chart(data, name, opts, rels, wb, csheet) {\n\tvar cs = ((csheet || {\"!type\":\"chart\"}));\n\tif(!data) return csheet;\n\t/* 21.2.2.27 chart CT_Chart */\n\n\tvar C = 0, R = 0, col = \"A\";\n\tvar refguess = {s: {r:2000000, c:2000000}, e: {r:0, c:0} };\n\n\t/* 21.2.2.120 numCache CT_NumData */\n\t(data.match(/[\\s\\S]*?<\\/c:numCache>/gm)||[]).forEach(function(nc) {\n\t\tvar cache = parse_Cache(nc);\n\t\trefguess.s.r = refguess.s.c = 0;\n\t\trefguess.e.c = C;\n\t\tcol = encode_col(C);\n\t\tcache[0].forEach(function(n,i) {\n\t\t\tcs[col + encode_row(i)] = {t:'n', v:n, z:cache[1] };\n\t\t\tR = i;\n\t\t});\n\t\tif(refguess.e.r < R) refguess.e.r = R;\n\t\t++C;\n\t});\n\tif(C > 0) cs[\"!ref\"] = encode_range(refguess);\n\treturn cs;\n}\nRELS.CS = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/chartsheet\";\n\nvar CS_XML_ROOT = writextag('chartsheet', null, {\n\t'xmlns': XMLNS.main[0],\n\t'xmlns:r': XMLNS.r\n});\n\n/* 18.3 Worksheets also covers Chartsheets */\nfunction parse_cs_xml(data, opts, idx, rels, wb) {\n\tif(!data) return data;\n\t/* 18.3.1.12 chartsheet CT_ChartSheet */\n\tif(!rels) rels = {'!id':{}};\n\tvar s = ({'!type':\"chart\", '!drawel':null, '!rel':\"\"});\n\tvar m;\n\n\t/* 18.3.1.83 sheetPr CT_ChartsheetPr */\n\tvar sheetPr = data.match(sheetprregex);\n\tif(sheetPr) parse_ws_xml_sheetpr(sheetPr[0], s, wb, idx);\n\n\t/* 18.3.1.36 drawing CT_Drawing */\n\tif((m = data.match(/drawing r:id=\"(.*?)\"/))) s['!rel'] = m[1];\n\n\tif(rels['!id'][s['!rel']]) s['!drawel'] = rels['!id'][s['!rel']];\n\treturn s;\n}\nfunction write_cs_xml(idx, opts, wb, rels) {\n\tvar o = [XML_HEADER, CS_XML_ROOT];\n\to[o.length] = writextag(\"drawing\", null, {\"r:id\": \"rId1\"});\n\tadd_rels(rels, -1, \"../drawings/drawing\" + (idx+1) + \".xml\", RELS.DRAW);\n\tif(o.length>2) { o[o.length] = (''); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n\n/* [MS-XLSB] 2.4.331 BrtCsProp */\nfunction parse_BrtCsProp(data, length) {\n\tdata.l += 10;\n\tvar name = parse_XLWideString(data, length - 10);\n\treturn { name: name };\n}\n\n/* [MS-XLSB] 2.1.7.7 Chart Sheet */\nfunction parse_cs_bin(data, opts, idx, rels, wb) {\n\tif(!data) return data;\n\tif(!rels) rels = {'!id':{}};\n\tvar s = {'!type':\"chart\", '!drawel':null, '!rel':\"\"};\n\tvar state = [];\n\tvar pass = false;\n\trecordhopper(data, function cs_parse(val, R_n, RT) {\n\t\tswitch(RT) {\n\n\t\t\tcase 0x0226: /* 'BrtDrawing' */\n\t\t\t\ts['!rel'] = val; break;\n\n\t\t\tcase 0x028B: /* 'BrtCsProp' */\n\t\t\t\tif(!wb.Sheets[idx]) wb.Sheets[idx] = {};\n\t\t\t\tif(val.name) wb.Sheets[idx].CodeName = val.name;\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0232: /* 'BrtBkHim' */\n\t\t\tcase 0x028C: /* 'BrtCsPageSetup' */\n\t\t\tcase 0x029D: /* 'BrtCsProtection' */\n\t\t\tcase 0x02A7: /* 'BrtCsProtectionIso' */\n\t\t\tcase 0x0227: /* 'BrtLegacyDrawing' */\n\t\t\tcase 0x0228: /* 'BrtLegacyDrawingHF' */\n\t\t\tcase 0x01DC: /* 'BrtMargins' */\n\t\t\tcase 0x0C00: /* 'BrtUid' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tpass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tpass = false; break;\n\t\t\tcase 0x0025: /* 'BrtACBegin' */\n\t\t\t\tstate.push(R_n); break;\n\t\t\tcase 0x0026: /* 'BrtACEnd' */\n\t\t\t\tstate.pop(); break;\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0) state.push(R_n);\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0) state.pop();\n\t\t\t\telse if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t}, opts);\n\n\tif(rels['!id'][s['!rel']]) s['!drawel'] = rels['!id'][s['!rel']];\n\treturn s;\n}\nfunction write_cs_bin() {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginSheet\");\n\t/* [BrtCsProp] */\n\t/* CSVIEWS */\n\t/* [[BrtCsProtectionIso] BrtCsProtection] */\n\t/* [USERCSVIEWS] */\n\t/* [BrtMargins] */\n\t/* [BrtCsPageSetup] */\n\t/* [HEADERFOOTER] */\n\t/* BrtDrawing */\n\t/* [BrtLegacyDrawing] */\n\t/* [BrtLegacyDrawingHF] */\n\t/* [BrtBkHim] */\n\t/* [WEBPUBITEMS] */\n\t/* FRTCHARTSHEET */\n\twrite_record(ba, \"BrtEndSheet\");\n\treturn ba.end();\n}\n/* 18.2.28 (CT_WorkbookProtection) Defaults */\nvar WBPropsDef = [\n\t['allowRefreshQuery', false, \"bool\"],\n\t['autoCompressPictures', true, \"bool\"],\n\t['backupFile', false, \"bool\"],\n\t['checkCompatibility', false, \"bool\"],\n\t['CodeName', ''],\n\t['date1904', false, \"bool\"],\n\t['defaultThemeVersion', 0, \"int\"],\n\t['filterPrivacy', false, \"bool\"],\n\t['hidePivotFieldList', false, \"bool\"],\n\t['promptedSolutions', false, \"bool\"],\n\t['publishItems', false, \"bool\"],\n\t['refreshAllConnections', false, \"bool\"],\n\t['saveExternalLinkValues', true, \"bool\"],\n\t['showBorderUnselectedTables', true, \"bool\"],\n\t['showInkAnnotation', true, \"bool\"],\n\t['showObjects', 'all'],\n\t['showPivotChartFilter', false, \"bool\"],\n\t['updateLinks', 'userSet']\n];\n\n/* 18.2.30 (CT_BookView) Defaults */\nvar WBViewDef = [\n\t['activeTab', 0, \"int\"],\n\t['autoFilterDateGrouping', true, \"bool\"],\n\t['firstSheet', 0, \"int\"],\n\t['minimized', false, \"bool\"],\n\t['showHorizontalScroll', true, \"bool\"],\n\t['showSheetTabs', true, \"bool\"],\n\t['showVerticalScroll', true, \"bool\"],\n\t['tabRatio', 600, \"int\"],\n\t['visibility', 'visible']\n\t//window{Height,Width}, {x,y}Window\n];\n\n/* 18.2.19 (CT_Sheet) Defaults */\nvar SheetDef = [\n\t//['state', 'visible']\n];\n\n/* 18.2.2 (CT_CalcPr) Defaults */\nvar CalcPrDef = [\n\t['calcCompleted', 'true'],\n\t['calcMode', 'auto'],\n\t['calcOnSave', 'true'],\n\t['concurrentCalc', 'true'],\n\t['fullCalcOnLoad', 'false'],\n\t['fullPrecision', 'true'],\n\t['iterate', 'false'],\n\t['iterateCount', '100'],\n\t['iterateDelta', '0.001'],\n\t['refMode', 'A1']\n];\n\n/* 18.2.3 (CT_CustomWorkbookView) Defaults */\n/*var CustomWBViewDef = [\n\t['autoUpdate', 'false'],\n\t['changesSavedWin', 'false'],\n\t['includeHiddenRowCol', 'true'],\n\t['includePrintSettings', 'true'],\n\t['maximized', 'false'],\n\t['minimized', 'false'],\n\t['onlySync', 'false'],\n\t['personalView', 'false'],\n\t['showComments', 'commIndicator'],\n\t['showFormulaBar', 'true'],\n\t['showHorizontalScroll', 'true'],\n\t['showObjects', 'all'],\n\t['showSheetTabs', 'true'],\n\t['showStatusbar', 'true'],\n\t['showVerticalScroll', 'true'],\n\t['tabRatio', '600'],\n\t['xWindow', '0'],\n\t['yWindow', '0']\n];*/\n\nfunction push_defaults_array(target, defaults) {\n\tfor(var j = 0; j != target.length; ++j) { var w = target[j];\n\t\tfor(var i=0; i != defaults.length; ++i) { var z = defaults[i];\n\t\t\tif(w[z[0]] == null) w[z[0]] = z[1];\n\t\t\telse switch(z[2]) {\n\t\t\tcase \"bool\": if(typeof w[z[0]] == \"string\") w[z[0]] = parsexmlbool(w[z[0]]); break;\n\t\t\tcase \"int\": if(typeof w[z[0]] == \"string\") w[z[0]] = parseInt(w[z[0]], 10); break;\n\t\t\t}\n\t\t}\n\t}\n}\nfunction push_defaults(target, defaults) {\n\tfor(var i = 0; i != defaults.length; ++i) { var z = defaults[i];\n\t\tif(target[z[0]] == null) target[z[0]] = z[1];\n\t\telse switch(z[2]) {\n\t\t\tcase \"bool\": if(typeof target[z[0]] == \"string\") target[z[0]] = parsexmlbool(target[z[0]]); break;\n\t\t\tcase \"int\": if(typeof target[z[0]] == \"string\") target[z[0]] = parseInt(target[z[0]], 10); break;\n\t\t}\n\t}\n}\n\nfunction parse_wb_defaults(wb) {\n\tpush_defaults(wb.WBProps, WBPropsDef);\n\tpush_defaults(wb.CalcPr, CalcPrDef);\n\n\tpush_defaults_array(wb.WBView, WBViewDef);\n\tpush_defaults_array(wb.Sheets, SheetDef);\n\n\t_ssfopts.date1904 = parsexmlbool(wb.WBProps.date1904);\n}\n\nfunction safe1904(wb) {\n\t/* TODO: store date1904 somewhere else */\n\tif(!wb.Workbook) return \"false\";\n\tif(!wb.Workbook.WBProps) return \"false\";\n\treturn parsexmlbool(wb.Workbook.WBProps.date1904) ? \"true\" : \"false\";\n}\n\nvar badchars = \"][*?\\/\\\\\".split(\"\");\nfunction check_ws_name(n, safe) {\n\tif(n.length > 31) { if(safe) return false; throw new Error(\"Sheet names cannot exceed 31 chars\"); }\n\tvar _good = true;\n\tbadchars.forEach(function(c) {\n\t\tif(n.indexOf(c) == -1) return;\n\t\tif(!safe) throw new Error(\"Sheet name cannot contain : \\\\ / ? * [ ]\");\n\t\t_good = false;\n\t});\n\treturn _good;\n}\nfunction check_wb_names(N, S, codes) {\n\tN.forEach(function(n,i) {\n\t\tcheck_ws_name(n);\n\t\tfor(var j = 0; j < i; ++j) if(n == N[j]) throw new Error(\"Duplicate Sheet Name: \" + n);\n\t\tif(codes) {\n\t\t\tvar cn = (S && S[i] && S[i].CodeName) || n;\n\t\t\tif(cn.charCodeAt(0) == 95 && cn.length > 22) throw new Error(\"Bad Code Name: Worksheet\" + cn);\n\t\t}\n\t});\n}\nfunction check_wb(wb) {\n\tif(!wb || !wb.SheetNames || !wb.Sheets) throw new Error(\"Invalid Workbook\");\n\tif(!wb.SheetNames.length) throw new Error(\"Workbook is empty\");\n\tvar Sheets = (wb.Workbook && wb.Workbook.Sheets) || [];\n\tcheck_wb_names(wb.SheetNames, Sheets, !!wb.vbaraw);\n\tfor(var i = 0; i < wb.SheetNames.length; ++i) check_ws(wb.Sheets[wb.SheetNames[i]], wb.SheetNames[i], i);\n\t/* TODO: validate workbook */\n}\n/* 18.2 Workbook */\nvar wbnsregex = /<\\w+:workbook/;\nfunction parse_wb_xml(data, opts) {\n\tif(!data) throw new Error(\"Could not find file\");\n\tvar wb = { AppVersion:{}, WBProps:{}, WBView:[], Sheets:[], CalcPr:{}, Names:[], xmlns: \"\" };\n\tvar pass = false, xmlns = \"xmlns\";\n\tvar dname = {}, dnstart = 0;\n\tdata.replace(tagregex, function xml_wb(x, idx) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.13 fileVersion CT_FileVersion ? */\n\t\t\tcase '': case '': break;\n\n\t\t\t/* 18.2.12 fileSharing CT_FileSharing ? */\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.28 workbookPr CT_WorkbookPr ? */\n\t\t\tcase '':\n\t\t\t\tWBPropsDef.forEach(function(w) {\n\t\t\t\t\tif(y[w[0]] == null) return;\n\t\t\t\t\tswitch(w[2]) {\n\t\t\t\t\t\tcase \"bool\": wb.WBProps[w[0]] = parsexmlbool(y[w[0]]); break;\n\t\t\t\t\t\tcase \"int\": wb.WBProps[w[0]] = parseInt(y[w[0]], 10); break;\n\t\t\t\t\t\tdefault: wb.WBProps[w[0]] = y[w[0]];\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(y.codeName) wb.WBProps.CodeName = utf8read(y.codeName);\n\t\t\t\tbreak;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.29 workbookProtection CT_WorkbookProtection ? */\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.1 bookViews CT_BookViews ? */\n\t\t\tcase '': case '': break;\n\t\t\t/* 18.2.30 workbookView CT_BookView + */\n\t\t\tcase '': delete y[0]; wb.WBView.push(y); break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.20 sheets CT_Sheets 1 */\n\t\t\tcase '': case '': break; // aggregate sheet\n\t\t\t/* 18.2.19 sheet CT_Sheet + */\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.15 functionGroups CT_FunctionGroups ? */\n\t\t\tcase '': break;\n\t\t\t/* 18.2.14 functionGroup CT_FunctionGroup + */\n\t\t\tcase '': case '': break;\n\t\t\t/* 18.2.8 externalReference CT_ExternalReference + */\n\t\t\tcase '': break;\n\t\t\tcase '': case '': pass=false; break;\n\t\t\t/* 18.2.5 definedName CT_DefinedName + */\n\t\t\tcase '': {\n\t\t\t\tdname.Ref = unescapexml(utf8read(data.slice(dnstart, idx)));\n\t\t\t\twb.Names.push(dname);\n\t\t\t} break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.2 calcPr CT_CalcPr ? */\n\t\t\tcase '': delete y[0]; wb.CalcPr = y; break;\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.16 oleSize CT_OleSize ? (ref required) */\n\t\t\tcase '': case '': case '': break;\n\n\t\t\t/* 18.2.18 pivotCaches CT_PivotCaches ? */\n\t\t\tcase '': case '': case '': break;\n\n\t\t\t/* 18.2.23 smartTagTypes CT_SmartTagTypes ? */\n\t\t\tcase '': case '': break;\n\t\t\t/* 18.2.22 smartTagType CT_SmartTagType ? */\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.11 fileRecoveryPr CT_FileRecoveryPr ? */\n\t\t\tcase '': break;\n\n\t\t\t/* 18.2.26 webPublishObjects CT_WebPublishObjects ? */\n\t\t\tcase '': case '': break;\n\t\t\t/* 18.2.25 webPublishObject CT_WebPublishObject ? */\n\t\t\tcase '': case '': case '': break;\n\t\t\t/* 18.2.7 ext CT_Extension + */\n\t\t\tcase '': pass=false; break;\n\n\t\t\t/* Others */\n\t\t\tcase '': pass=true; break;\n\t\t\tcase '': pass=false; break;\n\n\t\t\t/* TODO */\n\t\t\tcase ' 0);\n\n\t/* fileVersion */\n\t/* fileSharing */\n\n\tvar workbookPr = ({codeName:\"ThisWorkbook\"});\n\tif(wb.Workbook && wb.Workbook.WBProps) {\n\t\tWBPropsDef.forEach(function(x) {\nif((wb.Workbook.WBProps[x[0]]) == null) return;\n\t\t\tif((wb.Workbook.WBProps[x[0]]) == x[1]) return;\n\t\t\tworkbookPr[x[0]] = (wb.Workbook.WBProps[x[0]]);\n\t\t});\nif(wb.Workbook.WBProps.CodeName) { workbookPr.codeName = wb.Workbook.WBProps.CodeName; delete workbookPr.CodeName; }\n\t}\n\to[o.length] = (writextag('workbookPr', null, workbookPr));\n\n\t/* workbookProtection */\n\n\tvar sheets = wb.Workbook && wb.Workbook.Sheets || [];\n\tvar i = 0;\n\n\t/* bookViews only written if first worksheet is hidden */\n\tif(sheets && sheets[0] && !!sheets[0].Hidden) {\n\t\to[o.length] = \"\";\n\t\tfor(i = 0; i != wb.SheetNames.length; ++i) {\n\t\t\tif(!sheets[i]) break;\n\t\t\tif(!sheets[i].Hidden) break;\n\t\t}\n\t\tif(i == wb.SheetNames.length) i = 0;\n\t\to[o.length] = '';\n\t\to[o.length] = \"\";\n\t}\n\n\to[o.length] = \"\";\n\tfor(i = 0; i != wb.SheetNames.length; ++i) {\n\t\tvar sht = ({name:escapexml(wb.SheetNames[i].slice(0,31))});\n\t\tsht.sheetId = \"\"+(i+1);\n\t\tsht[\"r:id\"] = \"rId\"+(i+1);\n\t\tif(sheets[i]) switch(sheets[i].Hidden) {\n\t\t\tcase 1: sht.state = \"hidden\"; break;\n\t\t\tcase 2: sht.state = \"veryHidden\"; break;\n\t\t}\n\t\to[o.length] = (writextag('sheet',null,sht));\n\t}\n\to[o.length] = \"\";\n\n\t/* functionGroups */\n\t/* externalReferences */\n\n\tif(write_names) {\n\t\to[o.length] = \"\";\n\t\tif(wb.Workbook && wb.Workbook.Names) wb.Workbook.Names.forEach(function(n) {\n\t\t\tvar d = {name:n.Name};\n\t\t\tif(n.Comment) d.comment = n.Comment;\n\t\t\tif(n.Sheet != null) d.localSheetId = \"\"+n.Sheet;\n\t\t\tif(n.Hidden) d.hidden = \"1\";\n\t\t\tif(!n.Ref) return;\n\t\t\to[o.length] = writextag('definedName', escapexml(n.Ref), d);\n\t\t});\n\t\to[o.length] = \"\";\n\t}\n\n\t/* calcPr */\n\t/* oleSize */\n\t/* customWorkbookViews */\n\t/* pivotCaches */\n\t/* smartTagPr */\n\t/* smartTagTypes */\n\t/* webPublishing */\n\t/* fileRecoveryPr */\n\t/* webPublishObjects */\n\t/* extLst */\n\n\tif(o.length>2){ o[o.length] = ''; o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.304 BrtBundleSh */\nfunction parse_BrtBundleSh(data, length) {\n\tvar z = {};\n\tz.Hidden = data.read_shift(4); //hsState ST_SheetState\n\tz.iTabID = data.read_shift(4);\n\tz.strRelID = parse_RelID(data,length-8);\n\tz.name = parse_XLWideString(data);\n\treturn z;\n}\nfunction write_BrtBundleSh(data, o) {\n\tif(!o) o = new_buf(127);\n\to.write_shift(4, data.Hidden);\n\to.write_shift(4, data.iTabID);\n\twrite_RelID(data.strRelID, o);\n\twrite_XLWideString(data.name.slice(0,31), o);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.815 BrtWbProp */\nfunction parse_BrtWbProp(data, length) {\n\tvar o = ({});\n\tvar flags = data.read_shift(4);\n\to.defaultThemeVersion = data.read_shift(4);\n\tvar strName = (length > 8) ? parse_XLWideString(data) : \"\";\n\tif(strName.length > 0) o.CodeName = strName;\n\to.autoCompressPictures = !!(flags & 0x10000);\n\to.backupFile = !!(flags & 0x40);\n\to.checkCompatibility = !!(flags & 0x1000);\n\to.date1904 = !!(flags & 0x01);\n\to.filterPrivacy = !!(flags & 0x08);\n\to.hidePivotFieldList = !!(flags & 0x400);\n\to.promptedSolutions = !!(flags & 0x10);\n\to.publishItems = !!(flags & 0x800);\n\to.refreshAllConnections = !!(flags & 0x40000);\n\to.saveExternalLinkValues = !!(flags & 0x80);\n\to.showBorderUnselectedTables = !!(flags & 0x04);\n\to.showInkAnnotation = !!(flags & 0x20);\n\to.showObjects = [\"all\", \"placeholders\", \"none\"][(flags >> 13) & 0x03];\n\to.showPivotChartFilter = !!(flags & 0x8000);\n\to.updateLinks = [\"userSet\", \"never\", \"always\"][(flags >> 8) & 0x03];\n\treturn o;\n}\nfunction write_BrtWbProp(data, o) {\n\tif(!o) o = new_buf(72);\n\tvar flags = 0;\n\tif(data) {\n\t\t/* TODO: mirror parse_BrtWbProp fields */\n\t\tif(data.filterPrivacy) flags |= 0x08;\n\t}\n\to.write_shift(4, flags);\n\to.write_shift(4, 0);\n\twrite_XLSBCodeName(data && data.CodeName || \"ThisWorkbook\", o);\n\treturn o.slice(0, o.l);\n}\n\nfunction parse_BrtFRTArchID$(data, length) {\n\tvar o = {};\n\tdata.read_shift(4);\n\to.ArchID = data.read_shift(4);\n\tdata.l += length - 8;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.687 BrtName */\nfunction parse_BrtName(data, length, opts) {\n\tvar end = data.l + length;\n\tdata.l += 4; //var flags = data.read_shift(4);\n\tdata.l += 1; //var chKey = data.read_shift(1);\n\tvar itab = data.read_shift(4);\n\tvar name = parse_XLNameWideString(data);\n\tvar formula = parse_XLSBNameParsedFormula(data, 0, opts);\n\tvar comment = parse_XLNullableWideString(data);\n\t//if(0 /* fProc */) {\n\t\t// unusedstring1: XLNullableWideString\n\t\t// description: XLNullableWideString\n\t\t// helpTopic: XLNullableWideString\n\t\t// unusedstring2: XLNullableWideString\n\t//}\n\tdata.l = end;\n\tvar out = ({Name:name, Ptg:formula});\n\tif(itab < 0xFFFFFFF) out.Sheet = itab;\n\tif(comment) out.Comment = comment;\n\treturn out;\n}\n\n/* [MS-XLSB] 2.1.7.61 Workbook */\nfunction parse_wb_bin(data, opts) {\n\tvar wb = { AppVersion:{}, WBProps:{}, WBView:[], Sheets:[], CalcPr:{}, xmlns: \"\" };\n\tvar state = [];\n\tvar pass = false;\n\n\tif(!opts) opts = {};\n\topts.biff = 12;\n\n\tvar Names = [];\n\tvar supbooks = ([[]]);\n\tsupbooks.SheetNames = [];\n\tsupbooks.XTI = [];\n\n\trecordhopper(data, function hopper_wb(val, R_n, RT) {\n\t\tswitch(RT) {\n\t\t\tcase 0x009C: /* 'BrtBundleSh' */\n\t\t\t\tsupbooks.SheetNames.push(val.name);\n\t\t\t\twb.Sheets.push(val); break;\n\n\t\t\tcase 0x0099: /* 'BrtWbProp' */\n\t\t\t\twb.WBProps = val; break;\n\n\t\t\tcase 0x0027: /* 'BrtName' */\n\t\t\t\tif(val.Sheet != null) opts.SID = val.Sheet;\n\t\t\t\tval.Ref = stringify_formula(val.Ptg, null, null, supbooks, opts);\n\t\t\t\tdelete opts.SID;\n\t\t\t\tdelete val.Ptg;\n\t\t\t\tNames.push(val);\n\t\t\t\tbreak;\n\t\t\tcase 0x040C: /* 'BrtNameExt' */ break;\n\n\t\t\tcase 0x0165: /* 'BrtSupSelf' */\n\t\t\tcase 0x0166: /* 'BrtSupSame' */\n\t\t\tcase 0x0163: /* 'BrtSupBookSrc' */\n\t\t\tcase 0x029B: /* 'BrtSupAddin' */\n\t\t\t\tif(!supbooks[0].length) supbooks[0] = [RT, val];\n\t\t\t\telse supbooks.push([RT, val]);\n\t\t\t\tsupbooks[supbooks.length - 1].XTI = [];\n\t\t\t\tbreak;\n\t\t\tcase 0x016A: /* 'BrtExternSheet' */\n\t\t\t\tif(supbooks.length === 0) { supbooks[0] = []; supbooks[0].XTI = []; }\n\t\t\t\tsupbooks[supbooks.length - 1].XTI = supbooks[supbooks.length - 1].XTI.concat(val);\n\t\t\t\tsupbooks.XTI = supbooks.XTI.concat(val);\n\t\t\t\tbreak;\n\t\t\tcase 0x0169: /* 'BrtPlaceholderName' */\n\t\t\t\tbreak;\n\n\t\t\t/* case 'BrtModelTimeGroupingCalcCol' */\n\t\t\tcase 0x0C00: /* 'BrtUid' */\n\t\t\tcase 0x0C01: /* 'BrtRevisionPtr' */\n\t\t\tcase 0x0817: /* 'BrtAbsPath15' */\n\t\t\tcase 0x0216: /* 'BrtBookProtection' */\n\t\t\tcase 0x02A5: /* 'BrtBookProtectionIso' */\n\t\t\tcase 0x009E: /* 'BrtBookView' */\n\t\t\tcase 0x009D: /* 'BrtCalcProp' */\n\t\t\tcase 0x0262: /* 'BrtCrashRecErr' */\n\t\t\tcase 0x0802: /* 'BrtDecoupledPivotCacheID' */\n\t\t\tcase 0x009B: /* 'BrtFileRecover' */\n\t\t\tcase 0x0224: /* 'BrtFileSharing' */\n\t\t\tcase 0x02A4: /* 'BrtFileSharingIso' */\n\t\t\tcase 0x0080: /* 'BrtFileVersion' */\n\t\t\tcase 0x0299: /* 'BrtFnGroup' */\n\t\t\tcase 0x0850: /* 'BrtModelRelationship' */\n\t\t\tcase 0x084D: /* 'BrtModelTable' */\n\t\t\tcase 0x0225: /* 'BrtOleSize' */\n\t\t\tcase 0x0805: /* 'BrtPivotTableRef' */\n\t\t\tcase 0x0254: /* 'BrtSmartTagType' */\n\t\t\tcase 0x081C: /* 'BrtTableSlicerCacheID' */\n\t\t\tcase 0x081B: /* 'BrtTableSlicerCacheIDs' */\n\t\t\tcase 0x0822: /* 'BrtTimelineCachePivotCacheID' */\n\t\t\tcase 0x018D: /* 'BrtUserBookView' */\n\t\t\tcase 0x009A: /* 'BrtWbFactoid' */\n\t\t\tcase 0x045D: /* 'BrtWbProp14' */\n\t\t\tcase 0x0229: /* 'BrtWebOpt' */\n\t\t\tcase 0x082B: /* 'BrtWorkBookPr15' */\n\t\t\t\tbreak;\n\n\t\t\tcase 0x0023: /* 'BrtFRTBegin' */\n\t\t\t\tstate.push(R_n); pass = true; break;\n\t\t\tcase 0x0024: /* 'BrtFRTEnd' */\n\t\t\t\tstate.pop(); pass = false; break;\n\t\t\tcase 0x0025: /* 'BrtACBegin' */\n\t\t\t\tstate.push(R_n); pass = true; break;\n\t\t\tcase 0x0026: /* 'BrtACEnd' */\n\t\t\t\tstate.pop(); pass = false; break;\n\n\t\t\tcase 0x0010: /* 'BrtFRTArchID$' */ break;\n\n\t\t\tdefault:\n\t\t\t\tif((R_n||\"\").indexOf(\"Begin\") > 0){/* empty */}\n\t\t\t\telse if((R_n||\"\").indexOf(\"End\") > 0){/* empty */}\n\t\t\t\telse if(!pass || (opts.WTF && state[state.length-1] != \"BrtACBegin\" && state[state.length-1] != \"BrtFRTBegin\")) throw new Error(\"Unexpected record \" + RT + \" \" + R_n);\n\t\t}\n\t}, opts);\n\n\tparse_wb_defaults(wb);\n\n\t// $FlowIgnore\n\twb.Names = Names;\n\n\t(wb).supbooks = supbooks;\n\treturn wb;\n}\n\nfunction write_BUNDLESHS(ba, wb) {\n\twrite_record(ba, \"BrtBeginBundleShs\");\n\tfor(var idx = 0; idx != wb.SheetNames.length; ++idx) {\n\t\tvar viz = wb.Workbook && wb.Workbook.Sheets && wb.Workbook.Sheets[idx] && wb.Workbook.Sheets[idx].Hidden || 0;\n\t\tvar d = { Hidden: viz, iTabID: idx+1, strRelID: 'rId' + (idx+1), name: wb.SheetNames[idx] };\n\t\twrite_record(ba, \"BrtBundleSh\", write_BrtBundleSh(d));\n\t}\n\twrite_record(ba, \"BrtEndBundleShs\");\n}\n\n/* [MS-XLSB] 2.4.649 BrtFileVersion */\nfunction write_BrtFileVersion(data, o) {\n\tif(!o) o = new_buf(127);\n\tfor(var i = 0; i != 4; ++i) o.write_shift(4, 0);\n\twrite_XLWideString(\"SheetJS\", o);\n\twrite_XLWideString(XLSX.version, o);\n\twrite_XLWideString(XLSX.version, o);\n\twrite_XLWideString(\"7262\", o);\n\to.length = o.l;\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\n/* [MS-XLSB] 2.4.301 BrtBookView */\nfunction write_BrtBookView(idx, o) {\n\tif(!o) o = new_buf(29);\n\to.write_shift(-4, 0);\n\to.write_shift(-4, 460);\n\to.write_shift(4, 28800);\n\to.write_shift(4, 17600);\n\to.write_shift(4, 500);\n\to.write_shift(4, idx);\n\to.write_shift(4, idx);\n\tvar flags = 0x78;\n\to.write_shift(1, flags);\n\treturn o.length > o.l ? o.slice(0, o.l) : o;\n}\n\nfunction write_BOOKVIEWS(ba, wb) {\n\t/* required if hidden tab appears before visible tab */\n\tif(!wb.Workbook || !wb.Workbook.Sheets) return;\n\tvar sheets = wb.Workbook.Sheets;\n\tvar i = 0, vistab = -1, hidden = -1;\n\tfor(; i < sheets.length; ++i) {\n\t\tif(!sheets[i] || !sheets[i].Hidden && vistab == -1) vistab = i;\n\t\telse if(sheets[i].Hidden == 1 && hidden == -1) hidden = i;\n\t}\n\tif(hidden > vistab) return;\n\twrite_record(ba, \"BrtBeginBookViews\");\n\twrite_record(ba, \"BrtBookView\", write_BrtBookView(vistab));\n\t/* 1*(BrtBookView *FRT) */\n\twrite_record(ba, \"BrtEndBookViews\");\n}\n\n/* [MS-XLSB] 2.4.305 BrtCalcProp */\n/*function write_BrtCalcProp(data, o) {\n\tif(!o) o = new_buf(26);\n\to.write_shift(4,0); // force recalc\n\to.write_shift(4,1);\n\to.write_shift(4,0);\n\twrite_Xnum(0, o);\n\to.write_shift(-4, 1023);\n\to.write_shift(1, 0x33);\n\to.write_shift(1, 0x00);\n\treturn o;\n}*/\n\n/* [MS-XLSB] 2.4.646 BrtFileRecover */\n/*function write_BrtFileRecover(data, o) {\n\tif(!o) o = new_buf(1);\n\to.write_shift(1,0);\n\treturn o;\n}*/\n\n/* [MS-XLSB] 2.1.7.61 Workbook */\nfunction write_wb_bin(wb, opts) {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginBook\");\n\twrite_record(ba, \"BrtFileVersion\", write_BrtFileVersion());\n\t/* [[BrtFileSharingIso] BrtFileSharing] */\n\twrite_record(ba, \"BrtWbProp\", write_BrtWbProp(wb.Workbook && wb.Workbook.WBProps || null));\n\t/* [ACABSPATH] */\n\t/* [[BrtBookProtectionIso] BrtBookProtection] */\n\twrite_BOOKVIEWS(ba, wb, opts);\n\twrite_BUNDLESHS(ba, wb, opts);\n\t/* [FNGROUP] */\n\t/* [EXTERNALS] */\n\t/* *BrtName */\n\t/* write_record(ba, \"BrtCalcProp\", write_BrtCalcProp()); */\n\t/* [BrtOleSize] */\n\t/* *(BrtUserBookView *FRT) */\n\t/* [PIVOTCACHEIDS] */\n\t/* [BrtWbFactoid] */\n\t/* [SMARTTAGTYPES] */\n\t/* [BrtWebOpt] */\n\t/* write_record(ba, \"BrtFileRecover\", write_BrtFileRecover()); */\n\t/* [WEBPUBITEMS] */\n\t/* [CRERRS] */\n\t/* FRTWORKBOOK */\n\twrite_record(ba, \"BrtEndBook\");\n\n\treturn ba.end();\n}\nfunction parse_wb(data, name, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_wb_bin((data), opts);\n\treturn parse_wb_xml((data), opts);\n}\n\nfunction parse_ws(data, name, idx, opts, rels, wb, themes, styles) {\n\tif(name.slice(-4)===\".bin\") return parse_ws_bin((data), opts, idx, rels, wb, themes, styles);\n\treturn parse_ws_xml((data), opts, idx, rels, wb, themes, styles);\n}\n\nfunction parse_cs(data, name, idx, opts, rels, wb, themes, styles) {\n\tif(name.slice(-4)===\".bin\") return parse_cs_bin((data), opts, idx, rels, wb, themes, styles);\n\treturn parse_cs_xml((data), opts, idx, rels, wb, themes, styles);\n}\n\nfunction parse_ms(data, name, idx, opts, rels, wb, themes, styles) {\n\tif(name.slice(-4)===\".bin\") return parse_ms_bin((data), opts, idx, rels, wb, themes, styles);\n\treturn parse_ms_xml((data), opts, idx, rels, wb, themes, styles);\n}\n\nfunction parse_ds(data, name, idx, opts, rels, wb, themes, styles) {\n\tif(name.slice(-4)===\".bin\") return parse_ds_bin((data), opts, idx, rels, wb, themes, styles);\n\treturn parse_ds_xml((data), opts, idx, rels, wb, themes, styles);\n}\n\nfunction parse_sty(data, name, themes, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_sty_bin((data), themes, opts);\n\treturn parse_sty_xml((data), themes, opts);\n}\n\nfunction parse_theme(data, name, opts) {\n\treturn parse_theme_xml(data, opts);\n}\n\nfunction parse_sst(data, name, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_sst_bin((data), opts);\n\treturn parse_sst_xml((data), opts);\n}\n\nfunction parse_cmnt(data, name, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_comments_bin((data), opts);\n\treturn parse_comments_xml((data), opts);\n}\n\nfunction parse_cc(data, name, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_cc_bin((data), name, opts);\n\treturn parse_cc_xml((data), name, opts);\n}\n\nfunction parse_xlink(data, rel, name, opts) {\n\tif(name.slice(-4)===\".bin\") return parse_xlink_bin((data), rel, name, opts);\n\treturn parse_xlink_xml((data), rel, name, opts);\n}\n\nfunction write_wb(wb, name, opts) {\n\treturn (name.slice(-4)===\".bin\" ? write_wb_bin : write_wb_xml)(wb, opts);\n}\n\nfunction write_ws(data, name, opts, wb, rels) {\n\treturn (name.slice(-4)===\".bin\" ? write_ws_bin : write_ws_xml)(data, opts, wb, rels);\n}\n\n// eslint-disable-next-line no-unused-vars\nfunction write_cs(data, name, opts, wb, rels) {\n\treturn (name.slice(-4)===\".bin\" ? write_cs_bin : write_cs_xml)(data, opts, wb, rels);\n}\n\nfunction write_sty(data, name, opts) {\n\treturn (name.slice(-4)===\".bin\" ? write_sty_bin : write_sty_xml)(data, opts);\n}\n\nfunction write_sst(data, name, opts) {\n\treturn (name.slice(-4)===\".bin\" ? write_sst_bin : write_sst_xml)(data, opts);\n}\n\nfunction write_cmnt(data, name, opts) {\n\treturn (name.slice(-4)===\".bin\" ? write_comments_bin : write_comments_xml)(data, opts);\n}\n/*\nfunction write_cc(data, name:string, opts) {\n\treturn (name.slice(-4)===\".bin\" ? write_cc_bin : write_cc_xml)(data, opts);\n}\n*/\nvar attregexg2=/([\\w:]+)=((?:\")([^\"]*)(?:\")|(?:')([^']*)(?:'))/g;\nvar attregex2=/([\\w:]+)=((?:\")(?:[^\"]*)(?:\")|(?:')(?:[^']*)(?:'))/;\nfunction xlml_parsexmltag(tag, skip_root) {\n\tvar words = tag.split(/\\s+/);\n\tvar z = ([]); if(!skip_root) z[0] = words[0];\n\tif(words.length === 1) return z;\n\tvar m = tag.match(attregexg2), y, j, w, i;\n\tif(m) for(i = 0; i != m.length; ++i) {\n\t\ty = m[i].match(attregex2);\nif((j=y[1].indexOf(\":\")) === -1) z[y[1]] = y[2].slice(1,y[2].length-1);\n\t\telse {\n\t\t\tif(y[1].slice(0,6) === \"xmlns:\") w = \"xmlns\"+y[1].slice(6);\n\t\t\telse w = y[1].slice(j+1);\n\t\t\tz[w] = y[2].slice(1,y[2].length-1);\n\t\t}\n\t}\n\treturn z;\n}\nfunction xlml_parsexmltagobj(tag) {\n\tvar words = tag.split(/\\s+/);\n\tvar z = {};\n\tif(words.length === 1) return z;\n\tvar m = tag.match(attregexg2), y, j, w, i;\n\tif(m) for(i = 0; i != m.length; ++i) {\n\t\ty = m[i].match(attregex2);\nif((j=y[1].indexOf(\":\")) === -1) z[y[1]] = y[2].slice(1,y[2].length-1);\n\t\telse {\n\t\t\tif(y[1].slice(0,6) === \"xmlns:\") w = \"xmlns\"+y[1].slice(6);\n\t\t\telse w = y[1].slice(j+1);\n\t\t\tz[w] = y[2].slice(1,y[2].length-1);\n\t\t}\n\t}\n\treturn z;\n}\n\n// ----\n\nfunction xlml_format(format, value) {\n\tvar fmt = XLMLFormatMap[format] || unescapexml(format);\n\tif(fmt === \"General\") return SSF._general(value);\n\treturn SSF.format(fmt, value);\n}\n\nfunction xlml_set_custprop(Custprops, key, cp, val) {\n\tvar oval = val;\n\tswitch((cp[0].match(/dt:dt=\"([\\w.]+)\"/)||[\"\",\"\"])[1]) {\n\t\tcase \"boolean\": oval = parsexmlbool(val); break;\n\t\tcase \"i2\": case \"int\": oval = parseInt(val, 10); break;\n\t\tcase \"r4\": case \"float\": oval = parseFloat(val); break;\n\t\tcase \"date\": case \"dateTime.tz\": oval = parseDate(val); break;\n\t\tcase \"i8\": case \"string\": case \"fixed\": case \"uuid\": case \"bin.base64\": break;\n\t\tdefault: throw new Error(\"bad custprop:\" + cp[0]);\n\t}\n\tCustprops[unescapexml(key)] = oval;\n}\n\nfunction safe_format_xlml(cell, nf, o) {\n\tif(cell.t === 'z') return;\n\tif(!o || o.cellText !== false) try {\n\t\tif(cell.t === 'e') { cell.w = cell.w || BErr[cell.v]; }\n\t\telse if(nf === \"General\") {\n\t\t\tif(cell.t === 'n') {\n\t\t\t\tif((cell.v|0) === cell.v) cell.w = SSF._general_int(cell.v);\n\t\t\t\telse cell.w = SSF._general_num(cell.v);\n\t\t\t}\n\t\t\telse cell.w = SSF._general(cell.v);\n\t\t}\n\t\telse cell.w = xlml_format(nf||\"General\", cell.v);\n\t} catch(e) { if(o.WTF) throw e; }\n\ttry {\n\t\tvar z = XLMLFormatMap[nf]||nf||\"General\";\n\t\tif(o.cellNF) cell.z = z;\n\t\tif(o.cellDates && cell.t == 'n' && SSF.is_date(z)) {\n\t\t\tvar _d = SSF.parse_date_code(cell.v); if(_d) { cell.t = 'd'; cell.v = new Date(_d.y, _d.m-1,_d.d,_d.H,_d.M,_d.S,_d.u); }\n\t\t}\n\t} catch(e) { if(o.WTF) throw e; }\n}\n\nfunction process_style_xlml(styles, stag, opts) {\n\tif(opts.cellStyles) {\n\t\tif(stag.Interior) {\n\t\t\tvar I = stag.Interior;\n\t\t\tif(I.Pattern) I.patternType = XLMLPatternTypeMap[I.Pattern] || I.Pattern;\n\t\t}\n\t}\n\tstyles[stag.ID] = stag;\n}\n\n/* TODO: there must exist some form of OSP-blessed spec */\nfunction parse_xlml_data(xml, ss, data, cell, base, styles, csty, row, arrayf, o) {\n\tvar nf = \"General\", sid = cell.StyleID, S = {}; o = o || {};\n\tvar interiors = [];\n\tvar i = 0;\n\tif(sid === undefined && row) sid = row.StyleID;\n\tif(sid === undefined && csty) sid = csty.StyleID;\n\twhile(styles[sid] !== undefined) {\n\t\tif(styles[sid].nf) nf = styles[sid].nf;\n\t\tif(styles[sid].Interior) interiors.push(styles[sid].Interior);\n\t\tif(!styles[sid].Parent) break;\n\t\tsid = styles[sid].Parent;\n\t}\n\tswitch(data.Type) {\n\t\tcase 'Boolean':\n\t\t\tcell.t = 'b';\n\t\t\tcell.v = parsexmlbool(xml);\n\t\t\tbreak;\n\t\tcase 'String':\n\t\t\tcell.t = 's'; cell.r = xlml_fixstr(unescapexml(xml));\n\t\t\tcell.v = (xml.indexOf(\"<\") > -1 ? unescapexml(ss||xml).replace(/<.*?>/g, \"\") : cell.r); // todo: BR etc\n\t\t\tbreak;\n\t\tcase 'DateTime':\n\t\t\tif(xml.slice(-1) != \"Z\") xml += \"Z\";\n\t\t\tcell.v = (parseDate(xml) - new Date(Date.UTC(1899, 11, 30))) / (24 * 60 * 60 * 1000);\n\t\t\tif(cell.v !== cell.v) cell.v = unescapexml(xml);\n\t\t\telse if(cell.v<60) cell.v = cell.v -1;\n\t\t\tif(!nf || nf == \"General\") nf = \"yyyy-mm-dd\";\n\t\t\t/* falls through */\n\t\tcase 'Number':\n\t\t\tif(cell.v === undefined) cell.v=+xml;\n\t\t\tif(!cell.t) cell.t = 'n';\n\t\t\tbreak;\n\t\tcase 'Error': cell.t = 'e'; cell.v = RBErr[xml]; if(o.cellText !== false) cell.w = xml; break;\n\t\tdefault:\n\t\t\tif(xml == \"\" && ss == \"\") { cell.t = 'z'; }\n\t\t\telse { cell.t = 's'; cell.v = xlml_fixstr(ss||xml); }\n\t\t\tbreak;\n\t}\n\tsafe_format_xlml(cell, nf, o);\n\tif(o.cellFormula !== false) {\n\t\tif(cell.Formula) {\n\t\t\tvar fstr = unescapexml(cell.Formula);\n\t\t\t/* strictly speaking, the leading = is required but some writers omit */\n\t\t\tif(fstr.charCodeAt(0) == 61 /* = */) fstr = fstr.slice(1);\n\t\t\tcell.f = rc_to_a1(fstr, base);\n\t\t\tdelete cell.Formula;\n\t\t\tif(cell.ArrayRange == \"RC\") cell.F = rc_to_a1(\"RC:RC\", base);\n\t\t\telse if(cell.ArrayRange) {\n\t\t\t\tcell.F = rc_to_a1(cell.ArrayRange, base);\n\t\t\t\tarrayf.push([safe_decode_range(cell.F), cell.F]);\n\t\t\t}\n\t\t} else {\n\t\t\tfor(i = 0; i < arrayf.length; ++i)\n\t\t\t\tif(base.r >= arrayf[i][0].s.r && base.r <= arrayf[i][0].e.r)\n\t\t\t\t\tif(base.c >= arrayf[i][0].s.c && base.c <= arrayf[i][0].e.c)\n\t\t\t\t\t\tcell.F = arrayf[i][1];\n\t\t}\n\t}\n\tif(o.cellStyles) {\n\t\tinteriors.forEach(function(x) {\n\t\t\tif(!S.patternType && x.patternType) S.patternType = x.patternType;\n\t\t});\n\t\tcell.s = S;\n\t}\n\tif(cell.StyleID !== undefined) cell.ixfe = cell.StyleID;\n}\n\nfunction xlml_clean_comment(comment) {\n\tcomment.t = comment.v || \"\";\n\tcomment.t = comment.t.replace(/\\r\\n/g,\"\\n\").replace(/\\r/g,\"\\n\");\n\tcomment.v = comment.w = comment.ixfe = undefined;\n}\n\nfunction xlml_normalize(d) {\n\tif(has_buf && Buffer.isBuffer(d)) return d.toString('utf8');\n\tif(typeof d === 'string') return d;\n\t/* duktape */\n\tif(typeof Uint8Array !== 'undefined' && d instanceof Uint8Array) return utf8read(a2s(ab2a(d)));\n\tthrow new Error(\"Bad input format: expected Buffer or string\");\n}\n\n/* TODO: Everything */\n/* UOS uses CJK in tags */\nvar xlmlregex = /<(\\/?)([^\\s?>:\\/]+)(?:[\\s?:\\/][^>]*)?>/mg;\n//var xlmlregex = /<(\\/?)([a-z0-9]*:|)(\\w+)[^>]*>/mg;\nfunction parse_xlml_xml(d, _opts) {\n\tvar opts = _opts || {};\n\tmake_ssf(SSF);\n\tvar str = debom(xlml_normalize(d));\n\tif(opts.type == 'binary' || opts.type == 'array' || opts.type == 'base64') {\n\t\tif(typeof cptable !== 'undefined') str = cptable.utils.decode(65001, char_codes(str));\n\t\telse str = utf8read(str);\n\t}\n\tvar opening = str.slice(0, 1024).toLowerCase(), ishtml = false;\n\tif(opening.indexOf(\"= 0) ishtml = true; });\n\tif(ishtml) return HTML_.to_workbook(str, opts);\n\tvar Rn;\n\tvar state = [], tmp;\n\tif(DENSE != null && opts.dense == null) opts.dense = DENSE;\n\tvar sheets = {}, sheetnames = [], cursheet = (opts.dense ? [] : {}), sheetname = \"\";\n\tvar table = {}, cell = ({}), row = {};// eslint-disable-line no-unused-vars\n\tvar dtag = xlml_parsexmltag(''), didx = 0;\n\tvar c = 0, r = 0;\n\tvar refguess = {s: {r:2000000, c:2000000}, e: {r:0, c:0} };\n\tvar styles = {}, stag = {};\n\tvar ss = \"\", fidx = 0;\n\tvar merges = [];\n\tvar Props = {}, Custprops = {}, pidx = 0, cp = [];\n\tvar comments = [], comment = ({});\n\tvar cstys = [], csty, seencol = false;\n\tvar arrayf = [];\n\tvar rowinfo = [], rowobj = {}, cc = 0, rr = 0;\n\tvar Workbook = ({ Sheets:[], WBProps:{date1904:false} }), wsprops = {};\n\txlmlregex.lastIndex = 0;\n\tstr = str.replace(//mg,\"\");\n\tvar raw_Rn3 = \"\";\n\twhile((Rn = xlmlregex.exec(str))) switch((Rn[3] = (raw_Rn3 = Rn[3]).toLowerCase())) {\n\t\tcase 'data' /*case 'Data'*/:\n\t\t\tif(raw_Rn3 == \"data\") {\n\t\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));}\n\t\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], true]);\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tif(state[state.length-1][1]) break;\n\t\t\tif(Rn[1]==='/') parse_xlml_data(str.slice(didx, Rn.index), ss, dtag, state[state.length-1][0]==/*\"Comment\"*/\"comment\"?comment:cell, {c:c,r:r}, styles, cstys[c], row, arrayf, opts);\n\t\t\telse { ss = \"\"; dtag = xlml_parsexmltag(Rn[0]); didx = Rn.index + Rn[0].length; }\n\t\t\tbreak;\n\t\tcase 'cell' /*case 'Cell'*/:\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif(comments.length > 0) cell.c = comments;\n\t\t\t\tif((!opts.sheetRows || opts.sheetRows > r) && cell.v !== undefined) {\n\t\t\t\t\tif(opts.dense) {\n\t\t\t\t\t\tif(!cursheet[r]) cursheet[r] = [];\n\t\t\t\t\t\tcursheet[r][c] = cell;\n\t\t\t\t\t} else cursheet[encode_col(c) + encode_row(r)] = cell;\n\t\t\t\t}\n\t\t\t\tif(cell.HRef) {\n\t\t\t\t\tcell.l = ({Target:cell.HRef});\n\t\t\t\t\tif(cell.HRefScreenTip) cell.l.Tooltip = cell.HRefScreenTip;\n\t\t\t\t\tdelete cell.HRef; delete cell.HRefScreenTip;\n\t\t\t\t}\n\t\t\t\tif(cell.MergeAcross || cell.MergeDown) {\n\t\t\t\t\tcc = c + (parseInt(cell.MergeAcross,10)|0);\n\t\t\t\t\trr = r + (parseInt(cell.MergeDown,10)|0);\n\t\t\t\t\tmerges.push({s:{c:c,r:r},e:{c:cc,r:rr}});\n\t\t\t\t}\n\t\t\t\tif(!opts.sheetStubs) { if(cell.MergeAcross) c = cc + 1; else ++c; }\n\t\t\t\telse if(cell.MergeAcross || cell.MergeDown) {\nfor(var cma = c; cma <= cc; ++cma) {\n\t\t\t\t\t\tfor(var cmd = r; cmd <= rr; ++cmd) {\n\t\t\t\t\t\t\tif(cma > c || cmd > r) {\n\t\t\t\t\t\t\t\tif(opts.dense) {\n\t\t\t\t\t\t\t\t\tif(!cursheet[cmd]) cursheet[cmd] = [];\n\t\t\t\t\t\t\t\t\tcursheet[cmd][cma] = {t:'z'};\n\t\t\t\t\t\t\t\t} else cursheet[encode_col(cma) + encode_row(cmd)] = {t:'z'};\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tc = cc + 1;\n\t\t\t\t}\n\t\t\t\telse ++c;\n\t\t\t} else {\n\t\t\t\tcell = xlml_parsexmltagobj(Rn[0]);\n\t\t\t\tif(cell.Index) c = +cell.Index - 1;\n\t\t\t\tif(c < refguess.s.c) refguess.s.c = c;\n\t\t\t\tif(c > refguess.e.c) refguess.e.c = c;\n\t\t\t\tif(Rn[0].slice(-2) === \"/>\") ++c;\n\t\t\t\tcomments = [];\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'row' /*case 'Row'*/:\n\t\t\tif(Rn[1]==='/' || Rn[0].slice(-2) === \"/>\") {\n\t\t\t\tif(r < refguess.s.r) refguess.s.r = r;\n\t\t\t\tif(r > refguess.e.r) refguess.e.r = r;\n\t\t\t\tif(Rn[0].slice(-2) === \"/>\") {\n\t\t\t\t\trow = xlml_parsexmltag(Rn[0]);\n\t\t\t\t\tif(row.Index) r = +row.Index - 1;\n\t\t\t\t}\n\t\t\t\tc = 0; ++r;\n\t\t\t} else {\n\t\t\t\trow = xlml_parsexmltag(Rn[0]);\n\t\t\t\tif(row.Index) r = +row.Index - 1;\n\t\t\t\trowobj = {};\n\t\t\t\tif(row.AutoFitHeight == \"0\" || row.Height) {\n\t\t\t\t\trowobj.hpx = parseInt(row.Height, 10); rowobj.hpt = px2pt(rowobj.hpx);\n\t\t\t\t\trowinfo[r] = rowobj;\n\t\t\t\t}\n\t\t\t\tif(row.Hidden == \"1\") { rowobj.hidden = true; rowinfo[r] = rowobj; }\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'worksheet' /*case 'Worksheet'*/: /* TODO: read range from FullRows/FullColumns */\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));\n\t\t\t\tsheetnames.push(sheetname);\n\t\t\t\tif(refguess.s.r <= refguess.e.r && refguess.s.c <= refguess.e.c) {\n\t\t\t\t\tcursheet[\"!ref\"] = encode_range(refguess);\n\t\t\t\t\tif(opts.sheetRows && opts.sheetRows <= refguess.e.r) {\n\t\t\t\t\t\tcursheet[\"!fullref\"] = cursheet[\"!ref\"];\n\t\t\t\t\t\trefguess.e.r = opts.sheetRows - 1;\n\t\t\t\t\t\tcursheet[\"!ref\"] = encode_range(refguess);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(merges.length) cursheet[\"!merges\"] = merges;\n\t\t\t\tif(cstys.length > 0) cursheet[\"!cols\"] = cstys;\n\t\t\t\tif(rowinfo.length > 0) cursheet[\"!rows\"] = rowinfo;\n\t\t\t\tsheets[sheetname] = cursheet;\n\t\t\t} else {\n\t\t\t\trefguess = {s: {r:2000000, c:2000000}, e: {r:0, c:0} };\n\t\t\t\tr = c = 0;\n\t\t\t\tstate.push([Rn[3], false]);\n\t\t\t\ttmp = xlml_parsexmltag(Rn[0]);\n\t\t\t\tsheetname = unescapexml(tmp.Name);\n\t\t\t\tcursheet = (opts.dense ? [] : {});\n\t\t\t\tmerges = [];\n\t\t\t\tarrayf = [];\n\t\t\t\trowinfo = [];\n\t\t\t\twsprops = {name:sheetname, Hidden:0};\n\t\t\t\tWorkbook.Sheets.push(wsprops);\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'table' /*case 'Table'*/:\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));}\n\t\t\telse if(Rn[0].slice(-2) == \"/>\") break;\n\t\t\telse {\n\t\t\t\ttable = xlml_parsexmltag(Rn[0]);\n\t\t\t\tstate.push([Rn[3], false]);\n\t\t\t\tcstys = []; seencol = false;\n\t\t\t}\n\t\t\tbreak;\n\n\t\tcase 'style' /*case 'Style'*/:\n\t\t\tif(Rn[1]==='/') process_style_xlml(styles, stag, opts);\n\t\t\telse stag = xlml_parsexmltag(Rn[0]);\n\t\t\tbreak;\n\n\t\tcase 'numberformat' /*case 'NumberFormat'*/:\n\t\t\tstag.nf = unescapexml(xlml_parsexmltag(Rn[0]).Format || \"General\");\n\t\t\tif(XLMLFormatMap[stag.nf]) stag.nf = XLMLFormatMap[stag.nf];\n\t\t\tfor(var ssfidx = 0; ssfidx != 0x188; ++ssfidx) if(SSF._table[ssfidx] == stag.nf) break;\n\t\t\tif(ssfidx == 0x188) for(ssfidx = 0x39; ssfidx != 0x188; ++ssfidx) if(SSF._table[ssfidx] == null) { SSF.load(stag.nf, ssfidx); break; }\n\t\t\tbreak;\n\n\t\tcase 'column' /*case 'Column'*/:\n\t\t\tif(state[state.length-1][0] !== /*'Table'*/'table') break;\n\t\t\tcsty = xlml_parsexmltag(Rn[0]);\n\t\t\tif(csty.Hidden) { csty.hidden = true; delete csty.Hidden; }\n\t\t\tif(csty.Width) csty.wpx = parseInt(csty.Width, 10);\n\t\t\tif(!seencol && csty.wpx > 10) {\n\t\t\t\tseencol = true; MDW = DEF_MDW; //find_mdw_wpx(csty.wpx);\n\t\t\t\tfor(var _col = 0; _col < cstys.length; ++_col) if(cstys[_col]) process_col(cstys[_col]);\n\t\t\t}\n\t\t\tif(seencol) process_col(csty);\n\t\t\tcstys[(csty.Index-1||cstys.length)] = csty;\n\t\t\tfor(var i = 0; i < +csty.Span; ++i) cstys[cstys.length] = dup(csty);\n\t\t\tbreak;\n\n\t\tcase 'namedrange' /*case 'NamedRange'*/:\n\t\t\tif(Rn[1]==='/') break;\n\t\t\tif(!Workbook.Names) Workbook.Names = [];\n\t\t\tvar _NamedRange = parsexmltag(Rn[0]);\n\t\t\tvar _DefinedName = ({\n\t\t\t\tName: _NamedRange.Name,\n\t\t\t\tRef: rc_to_a1(_NamedRange.RefersTo.slice(1), {r:0, c:0})\n\t\t\t});\n\t\t\tif(Workbook.Sheets.length>0) _DefinedName.Sheet=Workbook.Sheets.length-1;\nWorkbook.Names.push(_DefinedName);\n\t\t\tbreak;\n\n\t\tcase 'namedcell' /*case 'NamedCell'*/: break;\n\t\tcase 'b' /*case 'B'*/: break;\n\t\tcase 'i' /*case 'I'*/: break;\n\t\tcase 'u' /*case 'U'*/: break;\n\t\tcase 's' /*case 'S'*/: break;\n\t\tcase 'em' /*case 'EM'*/: break;\n\t\tcase 'h2' /*case 'H2'*/: break;\n\t\tcase 'h3' /*case 'H3'*/: break;\n\t\tcase 'sub' /*case 'Sub'*/: break;\n\t\tcase 'sup' /*case 'Sup'*/: break;\n\t\tcase 'span' /*case 'Span'*/: break;\n\t\tcase 'alignment' /*case 'Alignment'*/:\n\t\t\tbreak;\n\t\tcase 'borders' /*case 'Borders'*/: break;\n\t\tcase 'border' /*case 'Border'*/: break;\n\t\tcase 'font' /*case 'Font'*/:\n\t\t\tif(Rn[0].slice(-2) === \"/>\") break;\n\t\t\telse if(Rn[1]===\"/\") ss += str.slice(fidx, Rn.index);\n\t\t\telse fidx = Rn.index + Rn[0].length;\n\t\t\tbreak;\n\t\tcase 'interior' /*case 'Interior'*/:\n\t\t\tif(!opts.cellStyles) break;\n\t\t\tstag.Interior = xlml_parsexmltag(Rn[0]);\n\t\t\tbreak;\n\t\tcase 'protection' /*case 'Protection'*/: break;\n\n\t\tcase 'author' /*case 'Author'*/:\n\t\tcase 'title' /*case 'Title'*/:\n\t\tcase 'description' /*case 'Description'*/:\n\t\tcase 'created' /*case 'Created'*/:\n\t\tcase 'keywords' /*case 'Keywords'*/:\n\t\tcase 'subject' /*case 'Subject'*/:\n\t\tcase 'category' /*case 'Category'*/:\n\t\tcase 'company' /*case 'Company'*/:\n\t\tcase 'lastauthor' /*case 'LastAuthor'*/:\n\t\tcase 'lastsaved' /*case 'LastSaved'*/:\n\t\tcase 'lastprinted' /*case 'LastPrinted'*/:\n\t\tcase 'version' /*case 'Version'*/:\n\t\tcase 'revision' /*case 'Revision'*/:\n\t\tcase 'totaltime' /*case 'TotalTime'*/:\n\t\tcase 'hyperlinkbase' /*case 'HyperlinkBase'*/:\n\t\tcase 'manager' /*case 'Manager'*/:\n\t\tcase 'contentstatus' /*case 'ContentStatus'*/:\n\t\tcase 'identifier' /*case 'Identifier'*/:\n\t\tcase 'language' /*case 'Language'*/:\n\t\tcase 'appname' /*case 'AppName'*/:\n\t\t\tif(Rn[0].slice(-2) === \"/>\") break;\n\t\t\telse if(Rn[1]===\"/\") xlml_set_prop(Props, raw_Rn3, str.slice(pidx, Rn.index));\n\t\t\telse pidx = Rn.index + Rn[0].length;\n\t\t\tbreak;\n\t\tcase 'paragraphs' /*case 'Paragraphs'*/: break;\n\n\t\tcase 'styles' /*case 'Styles'*/:\n\t\tcase 'workbook' /*case 'Workbook'*/:\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));}\n\t\t\telse state.push([Rn[3], false]);\n\t\t\tbreak;\n\n\t\tcase 'comment' /*case 'Comment'*/:\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));\n\t\t\t\txlml_clean_comment(comment);\n\t\t\t\tcomments.push(comment);\n\t\t\t} else {\n\t\t\t\tstate.push([Rn[3], false]);\n\t\t\t\ttmp = xlml_parsexmltag(Rn[0]);\n\t\t\t\tcomment = ({a:tmp.Author});\n\t\t\t}\n\t\t\tbreak;\n\n\t\tcase 'autofilter' /*case 'AutoFilter'*/:\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));}\n\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') {\n\t\t\t\tvar AutoFilter = xlml_parsexmltag(Rn[0]);\n\t\t\t\tcursheet['!autofilter'] = { ref:rc_to_a1(AutoFilter.Range).replace(/\\$/g,\"\") };\n\t\t\t\tstate.push([Rn[3], true]);\n\t\t\t}\n\t\t\tbreak;\n\n\t\tcase 'name' /*case 'Name'*/: break;\n\n\t\tcase 'datavalidation' /*case 'DataValidation'*/:\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));\n\t\t\t} else {\n\t\t\t\tif(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], true]);\n\t\t\t}\n\t\t\tbreak;\n\n\t\tcase 'pixelsperinch' /*case 'PixelsPerInch'*/:\n\t\t\tbreak;\n\t\tcase 'componentoptions' /*case 'ComponentOptions'*/:\n\t\tcase 'documentproperties' /*case 'DocumentProperties'*/:\n\t\tcase 'customdocumentproperties' /*case 'CustomDocumentProperties'*/:\n\t\tcase 'officedocumentsettings' /*case 'OfficeDocumentSettings'*/:\n\t\tcase 'pivottable' /*case 'PivotTable'*/:\n\t\tcase 'pivotcache' /*case 'PivotCache'*/:\n\t\tcase 'names' /*case 'Names'*/:\n\t\tcase 'mapinfo' /*case 'MapInfo'*/:\n\t\tcase 'pagebreaks' /*case 'PageBreaks'*/:\n\t\tcase 'querytable' /*case 'QueryTable'*/:\n\t\tcase 'sorting' /*case 'Sorting'*/:\n\t\tcase 'schema' /*case 'Schema'*/: //case 'data' /*case 'data'*/:\n\t\tcase 'conditionalformatting' /*case 'ConditionalFormatting'*/:\n\t\tcase 'smarttagtype' /*case 'SmartTagType'*/:\n\t\tcase 'smarttags' /*case 'SmartTags'*/:\n\t\tcase 'excelworkbook' /*case 'ExcelWorkbook'*/:\n\t\tcase 'workbookoptions' /*case 'WorkbookOptions'*/:\n\t\tcase 'worksheetoptions' /*case 'WorksheetOptions'*/:\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw new Error(\"Bad state: \"+tmp.join(\"|\"));}\n\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], true]);\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\t/* FODS file root is */\n\t\t\tif(state.length == 0 && Rn[3] == \"document\") return parse_fods(str, opts);\n\t\t\t/* UOS file root is */\n\t\t\tif(state.length == 0 && Rn[3] == \"uof\"/*\"UOF\"*/) return parse_fods(str, opts);\n\n\t\t\tvar seen = true;\n\t\t\tswitch(state[state.length-1][0]) {\n\t\t\t\t/* OfficeDocumentSettings */\n\t\t\t\tcase 'officedocumentsettings' /*case 'OfficeDocumentSettings'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'allowpng' /*case 'AllowPNG'*/: break;\n\t\t\t\t\tcase 'removepersonalinformation' /*case 'RemovePersonalInformation'*/: break;\n\t\t\t\t\tcase 'downloadcomponents' /*case 'DownloadComponents'*/: break;\n\t\t\t\t\tcase 'locationofcomponents' /*case 'LocationOfComponents'*/: break;\n\t\t\t\t\tcase 'colors' /*case 'Colors'*/: break;\n\t\t\t\t\tcase 'color' /*case 'Color'*/: break;\n\t\t\t\t\tcase 'index' /*case 'Index'*/: break;\n\t\t\t\t\tcase 'rgb' /*case 'RGB'*/: break;\n\t\t\t\t\tcase 'targetscreensize' /*case 'TargetScreenSize'*/: break;\n\t\t\t\t\tcase 'readonlyrecommended' /*case 'ReadOnlyRecommended'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* ComponentOptions */\n\t\t\t\tcase 'componentoptions' /*case 'ComponentOptions'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'toolbar' /*case 'Toolbar'*/: break;\n\t\t\t\t\tcase 'hideofficelogo' /*case 'HideOfficeLogo'*/: break;\n\t\t\t\t\tcase 'spreadsheetautofit' /*case 'SpreadsheetAutoFit'*/: break;\n\t\t\t\t\tcase 'label' /*case 'Label'*/: break;\n\t\t\t\t\tcase 'caption' /*case 'Caption'*/: break;\n\t\t\t\t\tcase 'maxheight' /*case 'MaxHeight'*/: break;\n\t\t\t\t\tcase 'maxwidth' /*case 'MaxWidth'*/: break;\n\t\t\t\t\tcase 'nextsheetnumber' /*case 'NextSheetNumber'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* ExcelWorkbook */\n\t\t\t\tcase 'excelworkbook' /*case 'ExcelWorkbook'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'date1904' /*case 'Date1904'*/:\nWorkbook.WBProps.date1904 = true;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'windowheight' /*case 'WindowHeight'*/: break;\n\t\t\t\t\tcase 'windowwidth' /*case 'WindowWidth'*/: break;\n\t\t\t\t\tcase 'windowtopx' /*case 'WindowTopX'*/: break;\n\t\t\t\t\tcase 'windowtopy' /*case 'WindowTopY'*/: break;\n\t\t\t\t\tcase 'tabratio' /*case 'TabRatio'*/: break;\n\t\t\t\t\tcase 'protectstructure' /*case 'ProtectStructure'*/: break;\n\t\t\t\t\tcase 'protectwindow' /*case 'ProtectWindow'*/: break;\n\t\t\t\t\tcase 'protectwindows' /*case 'ProtectWindows'*/: break;\n\t\t\t\t\tcase 'activesheet' /*case 'ActiveSheet'*/: break;\n\t\t\t\t\tcase 'displayinknotes' /*case 'DisplayInkNotes'*/: break;\n\t\t\t\t\tcase 'firstvisiblesheet' /*case 'FirstVisibleSheet'*/: break;\n\t\t\t\t\tcase 'supbook' /*case 'SupBook'*/: break;\n\t\t\t\t\tcase 'sheetname' /*case 'SheetName'*/: break;\n\t\t\t\t\tcase 'sheetindex' /*case 'SheetIndex'*/: break;\n\t\t\t\t\tcase 'sheetindexfirst' /*case 'SheetIndexFirst'*/: break;\n\t\t\t\t\tcase 'sheetindexlast' /*case 'SheetIndexLast'*/: break;\n\t\t\t\t\tcase 'dll' /*case 'Dll'*/: break;\n\t\t\t\t\tcase 'acceptlabelsinformulas' /*case 'AcceptLabelsInFormulas'*/: break;\n\t\t\t\t\tcase 'donotsavelinkvalues' /*case 'DoNotSaveLinkValues'*/: break;\n\t\t\t\t\tcase 'iteration' /*case 'Iteration'*/: break;\n\t\t\t\t\tcase 'maxiterations' /*case 'MaxIterations'*/: break;\n\t\t\t\t\tcase 'maxchange' /*case 'MaxChange'*/: break;\n\t\t\t\t\tcase 'path' /*case 'Path'*/: break;\n\t\t\t\t\tcase 'xct' /*case 'Xct'*/: break;\n\t\t\t\t\tcase 'count' /*case 'Count'*/: break;\n\t\t\t\t\tcase 'selectedsheets' /*case 'SelectedSheets'*/: break;\n\t\t\t\t\tcase 'calculation' /*case 'Calculation'*/: break;\n\t\t\t\t\tcase 'uncalced' /*case 'Uncalced'*/: break;\n\t\t\t\t\tcase 'startupprompt' /*case 'StartupPrompt'*/: break;\n\t\t\t\t\tcase 'crn' /*case 'Crn'*/: break;\n\t\t\t\t\tcase 'externname' /*case 'ExternName'*/: break;\n\t\t\t\t\tcase 'formula' /*case 'Formula'*/: break;\n\t\t\t\t\tcase 'colfirst' /*case 'ColFirst'*/: break;\n\t\t\t\t\tcase 'collast' /*case 'ColLast'*/: break;\n\t\t\t\t\tcase 'wantadvise' /*case 'WantAdvise'*/: break;\n\t\t\t\t\tcase 'boolean' /*case 'Boolean'*/: break;\n\t\t\t\t\tcase 'error' /*case 'Error'*/: break;\n\t\t\t\t\tcase 'text' /*case 'Text'*/: break;\n\t\t\t\t\tcase 'ole' /*case 'OLE'*/: break;\n\t\t\t\t\tcase 'noautorecover' /*case 'NoAutoRecover'*/: break;\n\t\t\t\t\tcase 'publishobjects' /*case 'PublishObjects'*/: break;\n\t\t\t\t\tcase 'donotcalculatebeforesave' /*case 'DoNotCalculateBeforeSave'*/: break;\n\t\t\t\t\tcase 'number' /*case 'Number'*/: break;\n\t\t\t\t\tcase 'refmoder1c1' /*case 'RefModeR1C1'*/: break;\n\t\t\t\t\tcase 'embedsavesmarttags' /*case 'EmbedSaveSmartTags'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* WorkbookOptions */\n\t\t\t\tcase 'workbookoptions' /*case 'WorkbookOptions'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'owcversion' /*case 'OWCVersion'*/: break;\n\t\t\t\t\tcase 'height' /*case 'Height'*/: break;\n\t\t\t\t\tcase 'width' /*case 'Width'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* WorksheetOptions */\n\t\t\t\tcase 'worksheetoptions' /*case 'WorksheetOptions'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'visible' /*case 'Visible'*/:\n\t\t\t\t\t\tif(Rn[0].slice(-2) === \"/>\"){/* empty */}\n\t\t\t\t\t\telse if(Rn[1]===\"/\") switch(str.slice(pidx, Rn.index)) {\n\t\t\t\t\t\t\tcase \"SheetHidden\": wsprops.Hidden = 1; break;\n\t\t\t\t\t\t\tcase \"SheetVeryHidden\": wsprops.Hidden = 2; break;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse pidx = Rn.index + Rn[0].length;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'header' /*case 'Header'*/:\n\t\t\t\t\t\tif(!cursheet['!margins']) default_margins(cursheet['!margins']={}, 'xlml');\n\t\t\t\t\t\tcursheet['!margins'].header = parsexmltag(Rn[0]).Margin;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'footer' /*case 'Footer'*/:\n\t\t\t\t\t\tif(!cursheet['!margins']) default_margins(cursheet['!margins']={}, 'xlml');\n\t\t\t\t\t\tcursheet['!margins'].footer = parsexmltag(Rn[0]).Margin;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'pagemargins' /*case 'PageMargins'*/:\n\t\t\t\t\t\tvar pagemargins = parsexmltag(Rn[0]);\n\t\t\t\t\t\tif(!cursheet['!margins']) default_margins(cursheet['!margins']={},'xlml');\n\t\t\t\t\t\tif(pagemargins.Top) cursheet['!margins'].top = pagemargins.Top;\n\t\t\t\t\t\tif(pagemargins.Left) cursheet['!margins'].left = pagemargins.Left;\n\t\t\t\t\t\tif(pagemargins.Right) cursheet['!margins'].right = pagemargins.Right;\n\t\t\t\t\t\tif(pagemargins.Bottom) cursheet['!margins'].bottom = pagemargins.Bottom;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'displayrighttoleft' /*case 'DisplayRightToLeft'*/:\n\t\t\t\t\t\tif(!Workbook.Views) Workbook.Views = [];\n\t\t\t\t\t\tif(!Workbook.Views[0]) Workbook.Views[0] = {};\n\t\t\t\t\t\tWorkbook.Views[0].RTL = true;\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'freezepanes' /*case 'FreezePanes'*/: break;\n\t\t\t\t\tcase 'frozennosplit' /*case 'FrozenNoSplit'*/: break;\n\n\t\t\t\t\tcase 'splithorizontal' /*case 'SplitHorizontal'*/:\n\t\t\t\t\tcase 'splitvertical' /*case 'SplitVertical'*/:\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'donotdisplaygridlines' /*case 'DoNotDisplayGridlines'*/:\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'activerow' /*case 'ActiveRow'*/: break;\n\t\t\t\t\tcase 'activecol' /*case 'ActiveCol'*/: break;\n\t\t\t\t\tcase 'toprowbottompane' /*case 'TopRowBottomPane'*/: break;\n\t\t\t\t\tcase 'leftcolumnrightpane' /*case 'LeftColumnRightPane'*/: break;\n\n\t\t\t\t\tcase 'unsynced' /*case 'Unsynced'*/: break;\n\t\t\t\t\tcase 'print' /*case 'Print'*/: break;\n\t\t\t\t\tcase 'panes' /*case 'Panes'*/: break;\n\t\t\t\t\tcase 'scale' /*case 'Scale'*/: break;\n\t\t\t\t\tcase 'pane' /*case 'Pane'*/: break;\n\t\t\t\t\tcase 'number' /*case 'Number'*/: break;\n\t\t\t\t\tcase 'layout' /*case 'Layout'*/: break;\n\t\t\t\t\tcase 'pagesetup' /*case 'PageSetup'*/: break;\n\t\t\t\t\tcase 'selected' /*case 'Selected'*/: break;\n\t\t\t\t\tcase 'protectobjects' /*case 'ProtectObjects'*/: break;\n\t\t\t\t\tcase 'enableselection' /*case 'EnableSelection'*/: break;\n\t\t\t\t\tcase 'protectscenarios' /*case 'ProtectScenarios'*/: break;\n\t\t\t\t\tcase 'validprinterinfo' /*case 'ValidPrinterInfo'*/: break;\n\t\t\t\t\tcase 'horizontalresolution' /*case 'HorizontalResolution'*/: break;\n\t\t\t\t\tcase 'verticalresolution' /*case 'VerticalResolution'*/: break;\n\t\t\t\t\tcase 'numberofcopies' /*case 'NumberofCopies'*/: break;\n\t\t\t\t\tcase 'activepane' /*case 'ActivePane'*/: break;\n\t\t\t\t\tcase 'toprowvisible' /*case 'TopRowVisible'*/: break;\n\t\t\t\t\tcase 'leftcolumnvisible' /*case 'LeftColumnVisible'*/: break;\n\t\t\t\t\tcase 'fittopage' /*case 'FitToPage'*/: break;\n\t\t\t\t\tcase 'rangeselection' /*case 'RangeSelection'*/: break;\n\t\t\t\t\tcase 'papersizeindex' /*case 'PaperSizeIndex'*/: break;\n\t\t\t\t\tcase 'pagelayoutzoom' /*case 'PageLayoutZoom'*/: break;\n\t\t\t\t\tcase 'pagebreakzoom' /*case 'PageBreakZoom'*/: break;\n\t\t\t\t\tcase 'filteron' /*case 'FilterOn'*/: break;\n\t\t\t\t\tcase 'fitwidth' /*case 'FitWidth'*/: break;\n\t\t\t\t\tcase 'fitheight' /*case 'FitHeight'*/: break;\n\t\t\t\t\tcase 'commentslayout' /*case 'CommentsLayout'*/: break;\n\t\t\t\t\tcase 'zoom' /*case 'Zoom'*/: break;\n\t\t\t\t\tcase 'lefttoright' /*case 'LeftToRight'*/: break;\n\t\t\t\t\tcase 'gridlines' /*case 'Gridlines'*/: break;\n\t\t\t\t\tcase 'allowsort' /*case 'AllowSort'*/: break;\n\t\t\t\t\tcase 'allowfilter' /*case 'AllowFilter'*/: break;\n\t\t\t\t\tcase 'allowinsertrows' /*case 'AllowInsertRows'*/: break;\n\t\t\t\t\tcase 'allowdeleterows' /*case 'AllowDeleteRows'*/: break;\n\t\t\t\t\tcase 'allowinsertcols' /*case 'AllowInsertCols'*/: break;\n\t\t\t\t\tcase 'allowdeletecols' /*case 'AllowDeleteCols'*/: break;\n\t\t\t\t\tcase 'allowinserthyperlinks' /*case 'AllowInsertHyperlinks'*/: break;\n\t\t\t\t\tcase 'allowformatcells' /*case 'AllowFormatCells'*/: break;\n\t\t\t\t\tcase 'allowsizecols' /*case 'AllowSizeCols'*/: break;\n\t\t\t\t\tcase 'allowsizerows' /*case 'AllowSizeRows'*/: break;\n\t\t\t\t\tcase 'nosummaryrowsbelowdetail' /*case 'NoSummaryRowsBelowDetail'*/: break;\n\t\t\t\t\tcase 'tabcolorindex' /*case 'TabColorIndex'*/: break;\n\t\t\t\t\tcase 'donotdisplayheadings' /*case 'DoNotDisplayHeadings'*/: break;\n\t\t\t\t\tcase 'showpagelayoutzoom' /*case 'ShowPageLayoutZoom'*/: break;\n\t\t\t\t\tcase 'nosummarycolumnsrightdetail' /*case 'NoSummaryColumnsRightDetail'*/: break;\n\t\t\t\t\tcase 'blackandwhite' /*case 'BlackAndWhite'*/: break;\n\t\t\t\t\tcase 'donotdisplayzeros' /*case 'DoNotDisplayZeros'*/: break;\n\t\t\t\t\tcase 'displaypagebreak' /*case 'DisplayPageBreak'*/: break;\n\t\t\t\t\tcase 'rowcolheadings' /*case 'RowColHeadings'*/: break;\n\t\t\t\t\tcase 'donotdisplayoutline' /*case 'DoNotDisplayOutline'*/: break;\n\t\t\t\t\tcase 'noorientation' /*case 'NoOrientation'*/: break;\n\t\t\t\t\tcase 'allowusepivottables' /*case 'AllowUsePivotTables'*/: break;\n\t\t\t\t\tcase 'zeroheight' /*case 'ZeroHeight'*/: break;\n\t\t\t\t\tcase 'viewablerange' /*case 'ViewableRange'*/: break;\n\t\t\t\t\tcase 'selection' /*case 'Selection'*/: break;\n\t\t\t\t\tcase 'protectcontents' /*case 'ProtectContents'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* PivotTable */\n\t\t\t\tcase 'pivottable' /*case 'PivotTable'*/: case 'pivotcache' /*case 'PivotCache'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'immediateitemsondrop' /*case 'ImmediateItemsOnDrop'*/: break;\n\t\t\t\t\tcase 'showpagemultipleitemlabel' /*case 'ShowPageMultipleItemLabel'*/: break;\n\t\t\t\t\tcase 'compactrowindent' /*case 'CompactRowIndent'*/: break;\n\t\t\t\t\tcase 'location' /*case 'Location'*/: break;\n\t\t\t\t\tcase 'pivotfield' /*case 'PivotField'*/: break;\n\t\t\t\t\tcase 'orientation' /*case 'Orientation'*/: break;\n\t\t\t\t\tcase 'layoutform' /*case 'LayoutForm'*/: break;\n\t\t\t\t\tcase 'layoutsubtotallocation' /*case 'LayoutSubtotalLocation'*/: break;\n\t\t\t\t\tcase 'layoutcompactrow' /*case 'LayoutCompactRow'*/: break;\n\t\t\t\t\tcase 'position' /*case 'Position'*/: break;\n\t\t\t\t\tcase 'pivotitem' /*case 'PivotItem'*/: break;\n\t\t\t\t\tcase 'datatype' /*case 'DataType'*/: break;\n\t\t\t\t\tcase 'datafield' /*case 'DataField'*/: break;\n\t\t\t\t\tcase 'sourcename' /*case 'SourceName'*/: break;\n\t\t\t\t\tcase 'parentfield' /*case 'ParentField'*/: break;\n\t\t\t\t\tcase 'ptlineitems' /*case 'PTLineItems'*/: break;\n\t\t\t\t\tcase 'ptlineitem' /*case 'PTLineItem'*/: break;\n\t\t\t\t\tcase 'countofsameitems' /*case 'CountOfSameItems'*/: break;\n\t\t\t\t\tcase 'item' /*case 'Item'*/: break;\n\t\t\t\t\tcase 'itemtype' /*case 'ItemType'*/: break;\n\t\t\t\t\tcase 'ptsource' /*case 'PTSource'*/: break;\n\t\t\t\t\tcase 'cacheindex' /*case 'CacheIndex'*/: break;\n\t\t\t\t\tcase 'consolidationreference' /*case 'ConsolidationReference'*/: break;\n\t\t\t\t\tcase 'filename' /*case 'FileName'*/: break;\n\t\t\t\t\tcase 'reference' /*case 'Reference'*/: break;\n\t\t\t\t\tcase 'nocolumngrand' /*case 'NoColumnGrand'*/: break;\n\t\t\t\t\tcase 'norowgrand' /*case 'NoRowGrand'*/: break;\n\t\t\t\t\tcase 'blanklineafteritems' /*case 'BlankLineAfterItems'*/: break;\n\t\t\t\t\tcase 'hidden' /*case 'Hidden'*/: break;\n\t\t\t\t\tcase 'subtotal' /*case 'Subtotal'*/: break;\n\t\t\t\t\tcase 'basefield' /*case 'BaseField'*/: break;\n\t\t\t\t\tcase 'mapchilditems' /*case 'MapChildItems'*/: break;\n\t\t\t\t\tcase 'function' /*case 'Function'*/: break;\n\t\t\t\t\tcase 'refreshonfileopen' /*case 'RefreshOnFileOpen'*/: break;\n\t\t\t\t\tcase 'printsettitles' /*case 'PrintSetTitles'*/: break;\n\t\t\t\t\tcase 'mergelabels' /*case 'MergeLabels'*/: break;\n\t\t\t\t\tcase 'defaultversion' /*case 'DefaultVersion'*/: break;\n\t\t\t\t\tcase 'refreshname' /*case 'RefreshName'*/: break;\n\t\t\t\t\tcase 'refreshdate' /*case 'RefreshDate'*/: break;\n\t\t\t\t\tcase 'refreshdatecopy' /*case 'RefreshDateCopy'*/: break;\n\t\t\t\t\tcase 'versionlastrefresh' /*case 'VersionLastRefresh'*/: break;\n\t\t\t\t\tcase 'versionlastupdate' /*case 'VersionLastUpdate'*/: break;\n\t\t\t\t\tcase 'versionupdateablemin' /*case 'VersionUpdateableMin'*/: break;\n\t\t\t\t\tcase 'versionrefreshablemin' /*case 'VersionRefreshableMin'*/: break;\n\t\t\t\t\tcase 'calculation' /*case 'Calculation'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* PageBreaks */\n\t\t\t\tcase 'pagebreaks' /*case 'PageBreaks'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'colbreaks' /*case 'ColBreaks'*/: break;\n\t\t\t\t\tcase 'colbreak' /*case 'ColBreak'*/: break;\n\t\t\t\t\tcase 'rowbreaks' /*case 'RowBreaks'*/: break;\n\t\t\t\t\tcase 'rowbreak' /*case 'RowBreak'*/: break;\n\t\t\t\t\tcase 'colstart' /*case 'ColStart'*/: break;\n\t\t\t\t\tcase 'colend' /*case 'ColEnd'*/: break;\n\t\t\t\t\tcase 'rowend' /*case 'RowEnd'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* AutoFilter */\n\t\t\t\tcase 'autofilter' /*case 'AutoFilter'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'autofiltercolumn' /*case 'AutoFilterColumn'*/: break;\n\t\t\t\t\tcase 'autofiltercondition' /*case 'AutoFilterCondition'*/: break;\n\t\t\t\t\tcase 'autofilterand' /*case 'AutoFilterAnd'*/: break;\n\t\t\t\t\tcase 'autofilteror' /*case 'AutoFilterOr'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* QueryTable */\n\t\t\t\tcase 'querytable' /*case 'QueryTable'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'id' /*case 'Id'*/: break;\n\t\t\t\t\tcase 'autoformatfont' /*case 'AutoFormatFont'*/: break;\n\t\t\t\t\tcase 'autoformatpattern' /*case 'AutoFormatPattern'*/: break;\n\t\t\t\t\tcase 'querysource' /*case 'QuerySource'*/: break;\n\t\t\t\t\tcase 'querytype' /*case 'QueryType'*/: break;\n\t\t\t\t\tcase 'enableredirections' /*case 'EnableRedirections'*/: break;\n\t\t\t\t\tcase 'refreshedinxl9' /*case 'RefreshedInXl9'*/: break;\n\t\t\t\t\tcase 'urlstring' /*case 'URLString'*/: break;\n\t\t\t\t\tcase 'htmltables' /*case 'HTMLTables'*/: break;\n\t\t\t\t\tcase 'connection' /*case 'Connection'*/: break;\n\t\t\t\t\tcase 'commandtext' /*case 'CommandText'*/: break;\n\t\t\t\t\tcase 'refreshinfo' /*case 'RefreshInfo'*/: break;\n\t\t\t\t\tcase 'notitles' /*case 'NoTitles'*/: break;\n\t\t\t\t\tcase 'nextid' /*case 'NextId'*/: break;\n\t\t\t\t\tcase 'columninfo' /*case 'ColumnInfo'*/: break;\n\t\t\t\t\tcase 'overwritecells' /*case 'OverwriteCells'*/: break;\n\t\t\t\t\tcase 'donotpromptforfile' /*case 'DoNotPromptForFile'*/: break;\n\t\t\t\t\tcase 'textwizardsettings' /*case 'TextWizardSettings'*/: break;\n\t\t\t\t\tcase 'source' /*case 'Source'*/: break;\n\t\t\t\t\tcase 'number' /*case 'Number'*/: break;\n\t\t\t\t\tcase 'decimal' /*case 'Decimal'*/: break;\n\t\t\t\t\tcase 'thousandseparator' /*case 'ThousandSeparator'*/: break;\n\t\t\t\t\tcase 'trailingminusnumbers' /*case 'TrailingMinusNumbers'*/: break;\n\t\t\t\t\tcase 'formatsettings' /*case 'FormatSettings'*/: break;\n\t\t\t\t\tcase 'fieldtype' /*case 'FieldType'*/: break;\n\t\t\t\t\tcase 'delimiters' /*case 'Delimiters'*/: break;\n\t\t\t\t\tcase 'tab' /*case 'Tab'*/: break;\n\t\t\t\t\tcase 'comma' /*case 'Comma'*/: break;\n\t\t\t\t\tcase 'autoformatname' /*case 'AutoFormatName'*/: break;\n\t\t\t\t\tcase 'versionlastedit' /*case 'VersionLastEdit'*/: break;\n\t\t\t\t\tcase 'versionlastrefresh' /*case 'VersionLastRefresh'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\tcase 'datavalidation' /*case 'DataValidation'*/:\n\t\t\t\tswitch(Rn[3]) {\n\t\t\t\t\tcase 'range' /*case 'Range'*/: break;\n\n\t\t\t\t\tcase 'type' /*case 'Type'*/: break;\n\t\t\t\t\tcase 'min' /*case 'Min'*/: break;\n\t\t\t\t\tcase 'max' /*case 'Max'*/: break;\n\t\t\t\t\tcase 'sort' /*case 'Sort'*/: break;\n\t\t\t\t\tcase 'descending' /*case 'Descending'*/: break;\n\t\t\t\t\tcase 'order' /*case 'Order'*/: break;\n\t\t\t\t\tcase 'casesensitive' /*case 'CaseSensitive'*/: break;\n\t\t\t\t\tcase 'value' /*case 'Value'*/: break;\n\t\t\t\t\tcase 'errorstyle' /*case 'ErrorStyle'*/: break;\n\t\t\t\t\tcase 'errormessage' /*case 'ErrorMessage'*/: break;\n\t\t\t\t\tcase 'errortitle' /*case 'ErrorTitle'*/: break;\n\t\t\t\t\tcase 'inputmessage' /*case 'InputMessage'*/: break;\n\t\t\t\t\tcase 'inputtitle' /*case 'InputTitle'*/: break;\n\t\t\t\t\tcase 'combohide' /*case 'ComboHide'*/: break;\n\t\t\t\t\tcase 'inputhide' /*case 'InputHide'*/: break;\n\t\t\t\t\tcase 'condition' /*case 'Condition'*/: break;\n\t\t\t\t\tcase 'qualifier' /*case 'Qualifier'*/: break;\n\t\t\t\t\tcase 'useblank' /*case 'UseBlank'*/: break;\n\t\t\t\t\tcase 'value1' /*case 'Value1'*/: break;\n\t\t\t\t\tcase 'value2' /*case 'Value2'*/: break;\n\t\t\t\t\tcase 'format' /*case 'Format'*/: break;\n\n\t\t\t\t\tcase 'cellrangelist' /*case 'CellRangeList'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\tcase 'sorting' /*case 'Sorting'*/:\n\t\t\t\tcase 'conditionalformatting' /*case 'ConditionalFormatting'*/:\n\t\t\t\tswitch(Rn[3]) {\n\t\t\t\t\tcase 'range' /*case 'Range'*/: break;\n\t\t\t\t\tcase 'type' /*case 'Type'*/: break;\n\t\t\t\t\tcase 'min' /*case 'Min'*/: break;\n\t\t\t\t\tcase 'max' /*case 'Max'*/: break;\n\t\t\t\t\tcase 'sort' /*case 'Sort'*/: break;\n\t\t\t\t\tcase 'descending' /*case 'Descending'*/: break;\n\t\t\t\t\tcase 'order' /*case 'Order'*/: break;\n\t\t\t\t\tcase 'casesensitive' /*case 'CaseSensitive'*/: break;\n\t\t\t\t\tcase 'value' /*case 'Value'*/: break;\n\t\t\t\t\tcase 'errorstyle' /*case 'ErrorStyle'*/: break;\n\t\t\t\t\tcase 'errormessage' /*case 'ErrorMessage'*/: break;\n\t\t\t\t\tcase 'errortitle' /*case 'ErrorTitle'*/: break;\n\t\t\t\t\tcase 'cellrangelist' /*case 'CellRangeList'*/: break;\n\t\t\t\t\tcase 'inputmessage' /*case 'InputMessage'*/: break;\n\t\t\t\t\tcase 'inputtitle' /*case 'InputTitle'*/: break;\n\t\t\t\t\tcase 'combohide' /*case 'ComboHide'*/: break;\n\t\t\t\t\tcase 'inputhide' /*case 'InputHide'*/: break;\n\t\t\t\t\tcase 'condition' /*case 'Condition'*/: break;\n\t\t\t\t\tcase 'qualifier' /*case 'Qualifier'*/: break;\n\t\t\t\t\tcase 'useblank' /*case 'UseBlank'*/: break;\n\t\t\t\t\tcase 'value1' /*case 'Value1'*/: break;\n\t\t\t\t\tcase 'value2' /*case 'Value2'*/: break;\n\t\t\t\t\tcase 'format' /*case 'Format'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* MapInfo (schema) */\n\t\t\t\tcase 'mapinfo' /*case 'MapInfo'*/: case 'schema' /*case 'Schema'*/: case 'data' /*case 'data'*/: switch(Rn[3]) {\n\t\t\t\t\tcase 'map' /*case 'Map'*/: break;\n\t\t\t\t\tcase 'entry' /*case 'Entry'*/: break;\n\t\t\t\t\tcase 'range' /*case 'Range'*/: break;\n\t\t\t\t\tcase 'xpath' /*case 'XPath'*/: break;\n\t\t\t\t\tcase 'field' /*case 'Field'*/: break;\n\t\t\t\t\tcase 'xsdtype' /*case 'XSDType'*/: break;\n\t\t\t\t\tcase 'filteron' /*case 'FilterOn'*/: break;\n\t\t\t\t\tcase 'aggregate' /*case 'Aggregate'*/: break;\n\t\t\t\t\tcase 'elementtype' /*case 'ElementType'*/: break;\n\t\t\t\t\tcase 'attributetype' /*case 'AttributeType'*/: break;\n\t\t\t\t/* These are from xsd (XML Schema Definition) */\n\t\t\t\t\tcase 'schema' /*case 'schema'*/:\n\t\t\t\t\tcase 'element' /*case 'element'*/:\n\t\t\t\t\tcase 'complextype' /*case 'complexType'*/:\n\t\t\t\t\tcase 'datatype' /*case 'datatype'*/:\n\t\t\t\t\tcase 'all' /*case 'all'*/:\n\t\t\t\t\tcase 'attribute' /*case 'attribute'*/:\n\t\t\t\t\tcase 'extends' /*case 'extends'*/: break;\n\n\t\t\t\t\tcase 'row' /*case 'row'*/: break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* SmartTags (can be anything) */\n\t\t\t\tcase 'smarttags' /*case 'SmartTags'*/: break;\n\n\t\t\t\tdefault: seen = false; break;\n\t\t\t}\n\t\t\tif(seen) break;\n\t\t\t/* CustomDocumentProperties */\n\t\t\tif(Rn[3].match(/!\\[CDATA/)) break;\n\t\t\tif(!state[state.length-1][1]) throw 'Unrecognized tag: ' + Rn[3] + \"|\" + state.join(\"|\");\n\t\t\tif(state[state.length-1][0]===/*'CustomDocumentProperties'*/'customdocumentproperties') {\n\t\t\t\tif(Rn[0].slice(-2) === \"/>\") break;\n\t\t\t\telse if(Rn[1]===\"/\") xlml_set_custprop(Custprops, raw_Rn3, cp, str.slice(pidx, Rn.index));\n\t\t\t\telse { cp = Rn; pidx = Rn.index + Rn[0].length; }\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tif(opts.WTF) throw 'Unrecognized tag: ' + Rn[3] + \"|\" + state.join(\"|\");\n\t}\n\tvar out = ({});\n\tif(!opts.bookSheets && !opts.bookProps) out.Sheets = sheets;\n\tout.SheetNames = sheetnames;\n\tout.Workbook = Workbook;\n\tout.SSF = SSF.get_table();\n\tout.Props = Props;\n\tout.Custprops = Custprops;\n\treturn out;\n}\n\nfunction parse_xlml(data, opts) {\n\tfix_read_opts(opts=opts||{});\n\tswitch(opts.type||\"base64\") {\n\t\tcase \"base64\": return parse_xlml_xml(Base64.decode(data), opts);\n\t\tcase \"binary\": case \"buffer\": case \"file\": return parse_xlml_xml(data, opts);\n\t\tcase \"array\": return parse_xlml_xml(a2s(data), opts);\n\t}\n}\n\n/* TODO */\nfunction write_props_xlml(wb, opts) {\n\tvar o = [];\n\t/* DocumentProperties */\n\tif(wb.Props) o.push(xlml_write_docprops(wb.Props, opts));\n\t/* CustomDocumentProperties */\n\tif(wb.Custprops) o.push(xlml_write_custprops(wb.Props, wb.Custprops, opts));\n\treturn o.join(\"\");\n}\n/* TODO */\nfunction write_wb_xlml() {\n\t/* OfficeDocumentSettings */\n\t/* ExcelWorkbook */\n\treturn \"\";\n}\n/* TODO */\nfunction write_sty_xlml(wb, opts) {\n\t/* Styles */\n\tvar styles = [''];\n\topts.cellXfs.forEach(function(xf, id) {\n\t\tvar payload = [];\n\t\tpayload.push(writextag('NumberFormat', null, {\"ss:Format\": escapexml(SSF._table[xf.numFmtId])}));\n\n\t\tvar o = {\"ss:ID\": \"s\" + (21+id)};\n\t\tstyles.push(writextag('Style', payload.join(\"\"), o));\n\t});\n\treturn writextag(\"Styles\", styles.join(\"\"));\n}\nfunction write_name_xlml(n) { return writextag(\"NamedRange\", null, {\"ss:Name\": n.Name, \"ss:RefersTo\":\"=\" + a1_to_rc(n.Ref, {r:0,c:0})}); }\nfunction write_names_xlml(wb) {\n\tif(!((wb||{}).Workbook||{}).Names) return \"\";\nvar names = wb.Workbook.Names;\n\tvar out = [];\n\tfor(var i = 0; i < names.length; ++i) {\n\t\tvar n = names[i];\n\t\tif(n.Sheet != null) continue;\n\t\tif(n.Name.match(/^_xlfn\\./)) continue;\n\t\tout.push(write_name_xlml(n));\n\t}\n\treturn writextag(\"Names\", out.join(\"\"));\n}\nfunction write_ws_xlml_names(ws, opts, idx, wb) {\n\tif(!ws) return \"\";\n\tif(!((wb||{}).Workbook||{}).Names) return \"\";\nvar names = wb.Workbook.Names;\n\tvar out = [];\n\tfor(var i = 0; i < names.length; ++i) {\n\t\tvar n = names[i];\n\t\tif(n.Sheet != idx) continue;\n\t\t/*switch(n.Name) {\n\t\t\tcase \"_\": continue;\n\t\t}*/\n\t\tif(n.Name.match(/^_xlfn\\./)) continue;\n\t\tout.push(write_name_xlml(n));\n\t}\n\treturn out.join(\"\");\n}\n/* WorksheetOptions */\nfunction write_ws_xlml_wsopts(ws, opts, idx, wb) {\n\tif(!ws) return \"\";\n\tvar o = [];\n\t/* NOTE: spec technically allows any order, but stick with implied order */\n\n\t/* FitToPage */\n\t/* DoNotDisplayColHeaders */\n\t/* DoNotDisplayRowHeaders */\n\t/* ViewableRange */\n\t/* Selection */\n\t/* GridlineColor */\n\t/* Name */\n\t/* ExcelWorksheetType */\n\t/* IntlMacro */\n\t/* Unsynced */\n\t/* Selected */\n\t/* CodeName */\n\n\tif(ws['!margins']) {\n\t\to.push(\"\");\n\t\tif(ws['!margins'].header) o.push(writextag(\"Header\", null, {'x:Margin':ws['!margins'].header}));\n\t\tif(ws['!margins'].footer) o.push(writextag(\"Footer\", null, {'x:Margin':ws['!margins'].footer}));\n\t\to.push(writextag(\"PageMargins\", null, {\n\t\t\t'x:Bottom': ws['!margins'].bottom || \"0.75\",\n\t\t\t'x:Left': ws['!margins'].left || \"0.7\",\n\t\t\t'x:Right': ws['!margins'].right || \"0.7\",\n\t\t\t'x:Top': ws['!margins'].top || \"0.75\"\n\t\t}));\n\t\to.push(\"\");\n\t}\n\n\t/* PageSetup */\n\t/* DisplayPageBreak */\n\t/* TransitionExpressionEvaluation */\n\t/* TransitionFormulaEntry */\n\t/* Print */\n\t/* Zoom */\n\t/* PageLayoutZoom */\n\t/* PageBreakZoom */\n\t/* ShowPageBreakZoom */\n\t/* DefaultRowHeight */\n\t/* DefaultColumnWidth */\n\t/* StandardWidth */\n\n\tif(wb && wb.Workbook && wb.Workbook.Sheets && wb.Workbook.Sheets[idx]) {\n\t\t/* Visible */\n\t\tif(wb.Workbook.Sheets[idx].Hidden) o.push(writextag(\"Visible\", (wb.Workbook.Sheets[idx].Hidden == 1 ? \"SheetHidden\" : \"SheetVeryHidden\"), {}));\n\t\telse {\n\t\t\t/* Selected */\n\t\t\tfor(var i = 0; i < idx; ++i) if(wb.Workbook.Sheets[i] && !wb.Workbook.Sheets[i].Hidden) break;\n\t\t\tif(i == idx) o.push(\"\");\n\t\t}\n\t}\n\n\t/* LeftColumnVisible */\n\n\tif(((((wb||{}).Workbook||{}).Views||[])[0]||{}).RTL) o.push(\"\");\n\n\t/* GridlineColorIndex */\n\t/* DisplayFormulas */\n\t/* DoNotDisplayGridlines */\n\t/* DoNotDisplayHeadings */\n\t/* DoNotDisplayOutline */\n\t/* ApplyAutomaticOutlineStyles */\n\t/* NoSummaryRowsBelowDetail */\n\t/* NoSummaryColumnsRightDetail */\n\t/* DoNotDisplayZeros */\n\t/* ActiveRow */\n\t/* ActiveColumn */\n\t/* FilterOn */\n\t/* RangeSelection */\n\t/* TopRowVisible */\n\t/* TopRowBottomPane */\n\t/* LeftColumnRightPane */\n\t/* ActivePane */\n\t/* SplitHorizontal */\n\t/* SplitVertical */\n\t/* FreezePanes */\n\t/* FrozenNoSplit */\n\t/* TabColorIndex */\n\t/* Panes */\n\n\t/* NOTE: Password not supported in XLML Format */\n\tif(ws['!protect']) {\n\t\to.push(writetag(\"ProtectContents\", \"True\"));\n\t\tif(ws['!protect'].objects) o.push(writetag(\"ProtectObjects\", \"True\"));\n\t\tif(ws['!protect'].scenarios) o.push(writetag(\"ProtectScenarios\", \"True\"));\n\t\tif(ws['!protect'].selectLockedCells != null && !ws['!protect'].selectLockedCells) o.push(writetag(\"EnableSelection\", \"NoSelection\"));\n\t\telse if(ws['!protect'].selectUnlockedCells != null && !ws['!protect'].selectUnlockedCells) o.push(writetag(\"EnableSelection\", \"UnlockedCells\"));\n\t[\n\t\t[ \"formatCells\", \"AllowFormatCells\" ],\n\t\t[ \"formatColumns\", \"AllowSizeCols\" ],\n\t\t[ \"formatRows\", \"AllowSizeRows\" ],\n\t\t[ \"insertColumns\", \"AllowInsertCols\" ],\n\t\t[ \"insertRows\", \"AllowInsertRows\" ],\n\t\t[ \"insertHyperlinks\", \"AllowInsertHyperlinks\" ],\n\t\t[ \"deleteColumns\", \"AllowDeleteCols\" ],\n\t\t[ \"deleteRows\", \"AllowDeleteRows\" ],\n\t\t[ \"sort\", \"AllowSort\" ],\n\t\t[ \"autoFilter\", \"AllowFilter\" ],\n\t\t[ \"pivotTables\", \"AllowUsePivotTables\" ]\n\t].forEach(function(x) { if(ws['!protect'][x[0]]) o.push(\"<\"+x[1]+\"/>\"); });\n\t}\n\n\tif(o.length == 0) return \"\";\n\treturn writextag(\"WorksheetOptions\", o.join(\"\"), {xmlns:XLMLNS.x});\n}\nfunction write_ws_xlml_comment(comments) {\n\treturn comments.map(function(c) {\n\t\t// TODO: formatted text\n\t\tvar t = xlml_unfixstr(c.t||\"\");\n\t\tvar d =writextag(\"ss:Data\", t, {\"xmlns\":\"http://www.w3.org/TR/REC-html40\"});\n\t\treturn writextag(\"Comment\", d, {\"ss:Author\":c.a});\n\t}).join(\"\");\n}\nfunction write_ws_xlml_cell(cell, ref, ws, opts, idx, wb, addr){\n\tif(!cell || (cell.v == undefined && cell.f == undefined)) return \"\";\n\n\tvar attr = {};\n\tif(cell.f) attr[\"ss:Formula\"] = \"=\" + escapexml(a1_to_rc(cell.f, addr));\n\tif(cell.F && cell.F.slice(0, ref.length) == ref) {\n\t\tvar end = decode_cell(cell.F.slice(ref.length + 1));\n\t\tattr[\"ss:ArrayRange\"] = \"RC:R\" + (end.r == addr.r ? \"\" : \"[\" + (end.r - addr.r) + \"]\") + \"C\" + (end.c == addr.c ? \"\" : \"[\" + (end.c - addr.c) + \"]\");\n\t}\n\n\tif(cell.l && cell.l.Target) {\n\t\tattr[\"ss:HRef\"] = escapexml(cell.l.Target);\n\t\tif(cell.l.Tooltip) attr[\"x:HRefScreenTip\"] = escapexml(cell.l.Tooltip);\n\t}\n\n\tif(ws['!merges']) {\n\t\tvar marr = ws['!merges'];\n\t\tfor(var mi = 0; mi != marr.length; ++mi) {\n\t\t\tif(marr[mi].s.c != addr.c || marr[mi].s.r != addr.r) continue;\n\t\t\tif(marr[mi].e.c > marr[mi].s.c) attr['ss:MergeAcross'] = marr[mi].e.c - marr[mi].s.c;\n\t\t\tif(marr[mi].e.r > marr[mi].s.r) attr['ss:MergeDown'] = marr[mi].e.r - marr[mi].s.r;\n\t\t}\n\t}\n\n\tvar t = \"\", p = \"\";\n\tswitch(cell.t) {\n\t\tcase 'z': if(!opts.sheetStubs) return \"\"; break;\n\t\tcase 'n': t = 'Number'; p = String(cell.v); break;\n\t\tcase 'b': t = 'Boolean'; p = (cell.v ? \"1\" : \"0\"); break;\n\t\tcase 'e': t = 'Error'; p = BErr[cell.v]; break;\n\t\tcase 'd': t = 'DateTime'; p = new Date(cell.v).toISOString(); if(cell.z == null) cell.z = cell.z || SSF._table[14]; break;\n\t\tcase 's': t = 'String'; p = escapexlml(cell.v||\"\"); break;\n\t}\n\t/* TODO: cell style */\n\tvar os = get_cell_style(opts.cellXfs, cell, opts);\n\tattr[\"ss:StyleID\"] = \"s\" + (21+os);\n\tattr[\"ss:Index\"] = addr.c + 1;\n\tvar _v = (cell.v != null ? p : \"\");\n\tvar m = cell.t == 'z' ? \"\" : ('' + _v + '');\n\n\tif((cell.c||[]).length > 0) m += write_ws_xlml_comment(cell.c);\n\n\treturn writextag(\"Cell\", m, attr);\n}\nfunction write_ws_xlml_row(R, row) {\n\tvar o = '';\n}\n/* TODO */\nfunction write_ws_xlml_table(ws, opts, idx, wb) {\n\tif(!ws['!ref']) return \"\";\n\tvar range = safe_decode_range(ws['!ref']);\n\tvar marr = ws['!merges'] || [], mi = 0;\n\tvar o = [];\n\tif(ws['!cols']) ws['!cols'].forEach(function(n, i) {\n\t\tprocess_col(n);\n\t\tvar w = !!n.width;\n\t\tvar p = col_obj_w(i, n);\n\t\tvar k = {\"ss:Index\":i+1};\n\t\tif(w) k['ss:Width'] = width2px(p.width);\n\t\tif(n.hidden) k['ss:Hidden']=\"1\";\n\t\to.push(writextag(\"Column\",null,k));\n\t});\n\tvar dense = Array.isArray(ws);\n\tfor(var R = range.s.r; R <= range.e.r; ++R) {\n\t\tvar row = [write_ws_xlml_row(R, (ws['!rows']||[])[R])];\n\t\tfor(var C = range.s.c; C <= range.e.c; ++C) {\n\t\t\tvar skip = false;\n\t\t\tfor(mi = 0; mi != marr.length; ++mi) {\n\t\t\t\tif(marr[mi].s.c > C) continue;\n\t\t\t\tif(marr[mi].s.r > R) continue;\n\t\t\t\tif(marr[mi].e.c < C) continue;\n\t\t\t\tif(marr[mi].e.r < R) continue;\n\t\t\t\tif(marr[mi].s.c != C || marr[mi].s.r != R) skip = true;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tif(skip) continue;\n\t\t\tvar addr = {r:R,c:C};\n\t\t\tvar ref = encode_cell(addr), cell = dense ? (ws[R]||[])[C] : ws[ref];\n\t\t\trow.push(write_ws_xlml_cell(cell, ref, ws, opts, idx, wb, addr));\n\t\t}\n\t\trow.push(\"\");\n\t\tif(row.length > 2) o.push(row.join(\"\"));\n\t}\n\treturn o.join(\"\");\n}\nfunction write_ws_xlml(idx, opts, wb) {\n\tvar o = [];\n\tvar s = wb.SheetNames[idx];\n\tvar ws = wb.Sheets[s];\n\n\tvar t = ws ? write_ws_xlml_names(ws, opts, idx, wb) : \"\";\n\tif(t.length > 0) o.push(\"\" + t + \"\");\n\n\t/* Table */\n\tt = ws ? write_ws_xlml_table(ws, opts, idx, wb) : \"\";\n\tif(t.length > 0) o.push(\"\" + t + \"
\");\n\n\t/* WorksheetOptions */\n\to.push(write_ws_xlml_wsopts(ws, opts, idx, wb));\n\n\treturn o.join(\"\");\n}\nfunction write_xlml(wb, opts) {\n\tif(!opts) opts = {};\n\tif(!wb.SSF) wb.SSF = SSF.get_table();\n\tif(wb.SSF) {\n\t\tmake_ssf(SSF); SSF.load_table(wb.SSF);\n\t\t// $FlowIgnore\n\t\topts.revssf = evert_num(wb.SSF); opts.revssf[wb.SSF[65535]] = 0;\n\t\topts.ssf = wb.SSF;\n\t\topts.cellXfs = [];\n\t\tget_cell_style(opts.cellXfs, {}, {revssf:{\"General\":0}});\n\t}\n\tvar d = [];\n\td.push(write_props_xlml(wb, opts));\n\td.push(write_wb_xlml(wb, opts));\n\td.push(\"\");\n\td.push(\"\");\n\tfor(var i = 0; i < wb.SheetNames.length; ++i)\n\t\td.push(writextag(\"Worksheet\", write_ws_xlml(i, opts, wb), {\"ss:Name\":escapexml(wb.SheetNames[i])}));\n\td[2] = write_sty_xlml(wb, opts);\n\td[3] = write_names_xlml(wb, opts);\n\treturn XML_HEADER + writextag(\"Workbook\", d.join(\"\"), {\n\t\t'xmlns': XLMLNS.ss,\n\t\t'xmlns:o': XLMLNS.o,\n\t\t'xmlns:x': XLMLNS.x,\n\t\t'xmlns:ss': XLMLNS.ss,\n\t\t'xmlns:dt': XLMLNS.dt,\n\t\t'xmlns:html': XLMLNS.html\n\t});\n}\n/* [MS-OLEDS] 2.3.8 CompObjStream */\nfunction parse_compobj(obj) {\n\tvar v = {};\n\tvar o = obj.content;\n/* [MS-OLEDS] 2.3.7 CompObjHeader -- All fields MUST be ignored */\n\to.l = 28;\n\n\tv.AnsiUserType = o.read_shift(0, \"lpstr-ansi\");\n\tv.AnsiClipboardFormat = parse_ClipboardFormatOrAnsiString(o);\n\n\tif(o.length - o.l <= 4) return v;\n\n\tvar m = o.read_shift(4);\n\tif(m == 0 || m > 40) return v;\n\to.l-=4; v.Reserved1 = o.read_shift(0, \"lpstr-ansi\");\n\n\tif(o.length - o.l <= 4) return v;\n\tm = o.read_shift(4);\n\tif(m !== 0x71b239f4) return v;\n\tv.UnicodeClipboardFormat = parse_ClipboardFormatOrUnicodeString(o);\n\n\tm = o.read_shift(4);\n\tif(m == 0 || m > 40) return v;\n\to.l-=4; v.Reserved2 = o.read_shift(0, \"lpwstr\");\n}\n\n/*\n\tContinue logic for:\n\t- 2.4.58 Continue\n\t- 2.4.59 ContinueBigName\n\t- 2.4.60 ContinueFrt\n\t- 2.4.61 ContinueFrt11\n\t- 2.4.62 ContinueFrt12\n*/\nfunction slurp(R, blob, length, opts) {\n\tvar l = length;\n\tvar bufs = [];\n\tvar d = blob.slice(blob.l,blob.l+l);\n\tif(opts && opts.enc && opts.enc.insitu) switch(R.n) {\n\tcase 'BOF': case 'FilePass': case 'FileLock': case 'InterfaceHdr': case 'RRDInfo': case 'RRDHead': case 'UsrExcl': break;\n\tdefault:\n\t\tif(d.length === 0) break;\n\t\topts.enc.insitu(d);\n\t}\n\tbufs.push(d);\n\tblob.l += l;\n\tvar next = (XLSRecordEnum[__readUInt16LE(blob,blob.l)]);\n\tvar start = 0;\n\twhile(next != null && next.n.slice(0,8) === 'Continue') {\n\t\tl = __readUInt16LE(blob,blob.l+2);\n\t\tstart = blob.l + 4;\n\t\tif(next.n == 'ContinueFrt') start += 4;\n\t\telse if(next.n.slice(0,11) == 'ContinueFrt') start += 12;\n\t\tbufs.push(blob.slice(start,blob.l+4+l));\n\t\tblob.l += 4+l;\n\t\tnext = (XLSRecordEnum[__readUInt16LE(blob, blob.l)]);\n\t}\n\tvar b = (bconcat(bufs));\n\tprep_blob(b, 0);\n\tvar ll = 0; b.lens = [];\n\tfor(var j = 0; j < bufs.length; ++j) { b.lens.push(ll); ll += bufs[j].length; }\n\treturn R.f(b, b.length, opts);\n}\n\nfunction safe_format_xf(p, opts, date1904) {\n\tif(p.t === 'z') return;\n\tif(!p.XF) return;\n\tvar fmtid = 0;\n\ttry {\n\t\tfmtid = p.z || p.XF.numFmtId || 0;\n\t\tif(opts.cellNF) p.z = SSF._table[fmtid];\n\t} catch(e) { if(opts.WTF) throw e; }\n\tif(!opts || opts.cellText !== false) try {\n\t\tif(p.t === 'e') { p.w = p.w || BErr[p.v]; }\n\t\telse if(fmtid === 0 || fmtid == \"General\") {\n\t\t\tif(p.t === 'n') {\n\t\t\t\tif((p.v|0) === p.v) p.w = SSF._general_int(p.v);\n\t\t\t\telse p.w = SSF._general_num(p.v);\n\t\t\t}\n\t\t\telse p.w = SSF._general(p.v);\n\t\t}\n\t\telse p.w = SSF.format(fmtid,p.v, {date1904:!!date1904});\n\t} catch(e) { if(opts.WTF) throw e; }\n\tif(opts.cellDates && fmtid && p.t == 'n' && SSF.is_date(SSF._table[fmtid] || String(fmtid))) {\n\t\tvar _d = SSF.parse_date_code(p.v); if(_d) { p.t = 'd'; p.v = new Date(_d.y, _d.m-1,_d.d,_d.H,_d.M,_d.S,_d.u); }\n\t}\n}\n\nfunction make_cell(val, ixfe, t) {\n\treturn ({v:val, ixfe:ixfe, t:t});\n}\n\n// 2.3.2\nfunction parse_workbook(blob, options) {\n\tvar wb = ({opts:{}});\n\tvar Sheets = {};\n\tif(DENSE != null && options.dense == null) options.dense = DENSE;\n\tvar out = ((options.dense ? [] : {}));\n\tvar Directory = {};\n\tvar range = ({});\n\tvar last_formula = null;\n\tvar sst = ([]);\n\tvar cur_sheet = \"\";\n\tvar Preamble = {};\n\tvar lastcell, last_cell = \"\", cc, cmnt, rngC, rngR;\n\tvar sharedf = {};\n\tvar arrayf = [];\n\tvar temp_val;\n\tvar country;\n\tvar cell_valid = true;\n\tvar XFs = []; /* XF records */\n\tvar palette = [];\n\tvar Workbook = ({ Sheets:[], WBProps:{date1904:false}, Views:[{}] }), wsprops = {};\n\tvar get_rgb = function getrgb(icv) {\n\t\tif(icv < 8) return XLSIcv[icv];\n\t\tif(icv < 64) return palette[icv-8] || XLSIcv[icv];\n\t\treturn XLSIcv[icv];\n\t};\n\tvar process_cell_style = function pcs(cell, line, options) {\n\t\tvar xfd = line.XF.data;\n\t\tif(!xfd || !xfd.patternType || !options || !options.cellStyles) return;\n\t\tline.s = ({});\n\t\tline.s.patternType = xfd.patternType;\n\t\tvar t;\n\t\tif((t = rgb2Hex(get_rgb(xfd.icvFore)))) { line.s.fgColor = {rgb:t}; }\n\t\tif((t = rgb2Hex(get_rgb(xfd.icvBack)))) { line.s.bgColor = {rgb:t}; }\n\t};\n\tvar addcell = function addcell(cell, line, options) {\n\t\tif(file_depth > 1) return;\n\t\tif(options.sheetRows && cell.r >= options.sheetRows) cell_valid = false;\n\t\tif(!cell_valid) return;\n\t\tif(options.cellStyles && line.XF && line.XF.data) process_cell_style(cell, line, options);\n\t\tdelete line.ixfe; delete line.XF;\n\t\tlastcell = cell;\n\t\tlast_cell = encode_cell(cell);\n\t\tif(!range || !range.s || !range.e) range = {s:{r:0,c:0},e:{r:0,c:0}};\n\t\tif(cell.r < range.s.r) range.s.r = cell.r;\n\t\tif(cell.c < range.s.c) range.s.c = cell.c;\n\t\tif(cell.r + 1 > range.e.r) range.e.r = cell.r + 1;\n\t\tif(cell.c + 1 > range.e.c) range.e.c = cell.c + 1;\n\t\tif(options.cellFormula && line.f) {\n\t\t\tfor(var afi = 0; afi < arrayf.length; ++afi) {\n\t\t\t\tif(arrayf[afi][0].s.c > cell.c || arrayf[afi][0].s.r > cell.r) continue;\n\t\t\t\tif(arrayf[afi][0].e.c < cell.c || arrayf[afi][0].e.r < cell.r) continue;\n\t\t\t\tline.F = encode_range(arrayf[afi][0]);\n\t\t\t\tif(arrayf[afi][0].s.c != cell.c || arrayf[afi][0].s.r != cell.r) delete line.f;\n\t\t\t\tif(line.f) line.f = \"\" + stringify_formula(arrayf[afi][1], range, cell, supbooks, opts);\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\t{\n\t\t\tif(options.dense) {\n\t\t\t\tif(!out[cell.r]) out[cell.r] = [];\n\t\t\t\tout[cell.r][cell.c] = line;\n\t\t\t} else out[last_cell] = line;\n\t\t}\n\t};\n\tvar opts = ({\n\t\tenc: false, // encrypted\n\t\tsbcch: 0, // cch in the preceding SupBook\n\t\tsnames: [], // sheetnames\n\t\tsharedf: sharedf, // shared formulae by address\n\t\tarrayf: arrayf, // array formulae array\n\t\trrtabid: [], // RRTabId\n\t\tlastuser: \"\", // Last User from WriteAccess\n\t\tbiff: 8, // BIFF version\n\t\tcodepage: 0, // CP from CodePage record\n\t\twinlocked: 0, // fLockWn from WinProtect\n\t\tcellStyles: !!options && !!options.cellStyles,\n\t\tWTF: !!options && !!options.wtf\n\t});\n\tif(options.password) opts.password = options.password;\n\tvar themes;\n\tvar merges = [];\n\tvar objects = [];\n\tvar colinfo = [], rowinfo = [];\n\t// eslint-disable-next-line no-unused-vars\n\tvar defwidth = 0, defheight = 0; // twips / MDW respectively\n\tvar seencol = false;\n\tvar supbooks = ([]); // 1-indexed, will hold extern names\n\tsupbooks.SheetNames = opts.snames;\n\tsupbooks.sharedf = opts.sharedf;\n\tsupbooks.arrayf = opts.arrayf;\n\tsupbooks.names = [];\n\tsupbooks.XTI = [];\n\tvar last_Rn = '';\n\tvar file_depth = 0; /* TODO: make a real stack */\n\tvar BIFF2Fmt = 0, BIFF2FmtTable = [];\n\tvar FilterDatabases = []; /* TODO: sort out supbooks and process elsewhere */\n\tvar last_lbl;\n\n\t/* explicit override for some broken writers */\n\topts.codepage = 1200;\n\tset_cp(1200);\n\tvar seen_codepage = false;\n\twhile(blob.l < blob.length - 1) {\n\t\tvar s = blob.l;\n\t\tvar RecordType = blob.read_shift(2);\n\t\tif(RecordType === 0 && last_Rn === 'EOF') break;\n\t\tvar length = (blob.l === blob.length ? 0 : blob.read_shift(2));\n\t\tvar R = XLSRecordEnum[RecordType];\n\t\t//console.log(RecordType.toString(16), RecordType, R, blob.l, length, blob.length);\n\t\t//if(!R) console.log(blob.slice(blob.l, blob.l + length));\n\t\tif(R && R.f) {\n\t\t\tif(options.bookSheets) {\n\t\t\t\tif(last_Rn === 'BoundSheet8' && R.n !== 'BoundSheet8') break;\n\t\t\t}\n\t\t\tlast_Rn = R.n;\n\t\t\tif(R.r === 2 || R.r == 12) {\n\t\t\t\tvar rt = blob.read_shift(2); length -= 2;\n\t\t\t\tif(!opts.enc && rt !== RecordType && (((rt&0xFF)<<8)|(rt>>8)) !== RecordType) throw new Error(\"rt mismatch: \" + rt + \"!=\" + RecordType);\n\t\t\t\tif(R.r == 12){ blob.l += 10; length -= 10; } // skip FRT\n\t\t\t}\n\t\t\t//console.error(R,blob.l,length,blob.length);\n\t\t\tvar val = ({});\n\t\t\tif(R.n === 'EOF') val = R.f(blob, length, opts);\n\t\t\telse val = slurp(R, blob, length, opts);\n\t\t\tvar Rn = R.n;\nif(file_depth == 0 && Rn != 'BOF') continue;\n\t\t\t/* nested switch statements to workaround V8 128 limit */\n\t\t\tswitch(Rn) {\n\t\t\t\t/* Workbook Options */\n\t\t\t\tcase 'Date1904':\nwb.opts.Date1904 = Workbook.WBProps.date1904 = val; break;\n\t\t\t\tcase 'WriteProtect': wb.opts.WriteProtect = true; break;\n\t\t\t\tcase 'FilePass':\n\t\t\t\t\tif(!opts.enc) blob.l = 0;\n\t\t\t\t\topts.enc = val;\n\t\t\t\t\tif(!options.password) throw new Error(\"File is password-protected\");\n\t\t\t\t\tif(val.valid == null) throw new Error(\"Encryption scheme unsupported\");\n\t\t\t\t\tif(!val.valid) throw new Error(\"Password is incorrect\");\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'WriteAccess': opts.lastuser = val; break;\n\t\t\t\tcase 'FileSharing': break; //TODO\n\t\t\t\tcase 'CodePage':\n\t\t\t\t\tvar cpval = Number(val);\n\t\t\t\t\t/* overrides based on test cases */\n\t\t\t\t\tswitch(cpval) {\n\t\t\t\t\t\tcase 0x5212: cpval = 1200; break;\n\t\t\t\t\t\tcase 0x8000: cpval = 10000; break;\n\t\t\t\t\t\tcase 0x8001: cpval = 1252; break;\n\t\t\t\t\t}\n\t\t\t\t\tset_cp(opts.codepage = cpval);\n\t\t\t\t\tseen_codepage = true;\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'RRTabId': opts.rrtabid = val; break;\n\t\t\t\tcase 'WinProtect': opts.winlocked = val; break;\n\t\t\t\tcase 'Template': break; // TODO\n\t\t\t\tcase 'BookBool': break; // TODO\n\t\t\t\tcase 'UsesELFs': break;\n\t\t\t\tcase 'MTRSettings': break;\n\t\t\t\tcase 'RefreshAll':\n\t\t\t\tcase 'CalcCount':\n\t\t\t\tcase 'CalcDelta':\n\t\t\t\tcase 'CalcIter':\n\t\t\t\tcase 'CalcMode':\n\t\t\t\tcase 'CalcPrecision':\n\t\t\t\tcase 'CalcSaveRecalc':\n\t\t\t\t\twb.opts[Rn] = val; break;\n\t\t\t\tcase 'CalcRefMode': opts.CalcRefMode = val; break; // TODO: implement R1C1\n\t\t\t\tcase 'Uncalced': break;\n\t\t\t\tcase 'ForceFullCalculation': wb.opts.FullCalc = val; break;\n\t\t\t\tcase 'WsBool':\n\t\t\t\t\tif(val.fDialog) out[\"!type\"] = \"dialog\";\n\t\t\t\t\tbreak; // TODO\n\t\t\t\tcase 'XF':\n\t\t\t\t\tXFs.push(val); break;\n\t\t\t\tcase 'ExtSST': break; // TODO\n\t\t\t\tcase 'BookExt': break; // TODO\n\t\t\t\tcase 'RichTextStream': break;\n\t\t\t\tcase 'BkHim': break;\n\n\t\t\t\tcase 'SupBook':\n\t\t\t\t\tsupbooks.push([val]);\n\t\t\t\t\tsupbooks[supbooks.length-1].XTI = [];\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'ExternName':\n\t\t\t\t\tsupbooks[supbooks.length-1].push(val);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'Index': break; // TODO\n\t\t\t\tcase 'Lbl':\n\t\t\t\t\tlast_lbl = ({\n\t\t\t\t\t\tName: val.Name,\n\t\t\t\t\t\tRef: stringify_formula(val.rgce,range,null,supbooks,opts)\n\t\t\t\t\t});\n\t\t\t\t\tif(val.itab > 0) last_lbl.Sheet = val.itab - 1;\n\t\t\t\t\tsupbooks.names.push(last_lbl);\n\t\t\t\t\tif(!supbooks[0]) { supbooks[0] = []; supbooks[0].XTI = []; }\n\t\t\t\t\tsupbooks[supbooks.length-1].push(val);\n\t\t\t\t\tif(val.Name == \"_xlnm._FilterDatabase\" && val.itab > 0)\n\t\t\t\t\t\tif(val.rgce && val.rgce[0] && val.rgce[0][0] && val.rgce[0][0][0] == 'PtgArea3d')\n\t\t\t\t\t\t\tFilterDatabases[val.itab - 1] = { ref: encode_range(val.rgce[0][0][1][2]) };\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'ExternCount': opts.ExternCount = val; break;\n\t\t\t\tcase 'ExternSheet':\n\t\t\t\t\tif(supbooks.length == 0) { supbooks[0] = []; supbooks[0].XTI = []; }\n\t\t\t\t\tsupbooks[supbooks.length - 1].XTI = supbooks[supbooks.length - 1].XTI.concat(val); supbooks.XTI = supbooks.XTI.concat(val); break;\n\t\t\t\tcase 'NameCmt':\n\t\t\t\t\t/* TODO: search for correct name */\n\t\t\t\t\tif(opts.biff < 8) break;\n\t\t\t\t\tif(last_lbl != null) last_lbl.Comment = val[1];\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'Protect': out[\"!protect\"] = val; break; /* for sheet or book */\n\t\t\t\tcase 'Password': if(val !== 0 && opts.WTF) console.error(\"Password verifier: \" + val); break;\n\t\t\t\tcase 'Prot4Rev': case 'Prot4RevPass': break; /*TODO: Revision Control*/\n\n\t\t\t\tcase 'BoundSheet8': {\n\t\t\t\t\tDirectory[val.pos] = val;\n\t\t\t\t\topts.snames.push(val.name);\n\t\t\t\t} break;\n\t\t\t\tcase 'EOF': {\n\t\t\t\t\tif(--file_depth) break;\n\t\t\t\t\tif(range.e) {\n\t\t\t\t\t\tif(range.e.r > 0 && range.e.c > 0) {\n\t\t\t\t\t\t\trange.e.r--; range.e.c--;\n\t\t\t\t\t\t\tout[\"!ref\"] = encode_range(range);\n\t\t\t\t\t\t\tif(options.sheetRows && options.sheetRows <= range.e.r) {\n\t\t\t\t\t\t\t\tvar tmpri = range.e.r;\n\t\t\t\t\t\t\t\trange.e.r = options.sheetRows - 1;\n\t\t\t\t\t\t\t\tout[\"!fullref\"] = out[\"!ref\"];\n\t\t\t\t\t\t\t\tout[\"!ref\"] = encode_range(range);\n\t\t\t\t\t\t\t\trange.e.r = tmpri;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\trange.e.r++; range.e.c++;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif(merges.length > 0) out[\"!merges\"] = merges;\n\t\t\t\t\t\tif(objects.length > 0) out[\"!objects\"] = objects;\n\t\t\t\t\t\tif(colinfo.length > 0) out[\"!cols\"] = colinfo;\n\t\t\t\t\t\tif(rowinfo.length > 0) out[\"!rows\"] = rowinfo;\n\t\t\t\t\t\tWorkbook.Sheets.push(wsprops);\n\t\t\t\t\t}\n\t\t\t\t\tif(cur_sheet === \"\") Preamble = out; else Sheets[cur_sheet] = out;\n\t\t\t\t\tout = ((options.dense ? [] : {}));\n\t\t\t\t} break;\n\t\t\t\tcase 'BOF': {\n\t\t\t\t\tif(opts.biff === 8) opts.biff = {\n0x0009:2,\n0x0209:3,\n0x0409:4\n\t\t\t\t\t}[RecordType] || {\n0x0200:2,\n0x0300:3,\n0x0400:4,\n0x0500:5,\n0x0600:8,\n0x0002:2,\n0x0007:2\n\t\t\t\t\t}[val.BIFFVer] || 8;\n\t\t\t\t\tif(opts.biff == 8 && val.BIFFVer == 0 && val.dt == 16) opts.biff = 2;\n\t\t\t\t\tif(file_depth++) break;\n\t\t\t\t\tcell_valid = true;\n\t\t\t\t\tout = ((options.dense ? [] : {}));\n\n\t\t\t\t\tif(opts.biff < 8 && !seen_codepage) { seen_codepage = true; set_cp(opts.codepage = options.codepage || 1252); }\n\t\t\t\t\tif(opts.biff < 5) {\n\t\t\t\t\t\tif(cur_sheet === \"\") cur_sheet = \"Sheet1\";\n\t\t\t\t\t\trange = {s:{r:0,c:0},e:{r:0,c:0}};\n\t\t\t\t\t\t/* fake BoundSheet8 */\n\t\t\t\t\t\tvar fakebs8 = {pos: blob.l - length, name:cur_sheet};\n\t\t\t\t\t\tDirectory[fakebs8.pos] = fakebs8;\n\t\t\t\t\t\topts.snames.push(cur_sheet);\n\t\t\t\t\t}\n\t\t\t\t\telse cur_sheet = (Directory[s] || {name:\"\"}).name;\n\t\t\t\t\tif(val.dt == 0x20) out[\"!type\"] = \"chart\";\n\t\t\t\t\tif(val.dt == 0x40) out[\"!type\"] = \"macro\";\n\t\t\t\t\tmerges = [];\n\t\t\t\t\tobjects = [];\n\t\t\t\t\topts.arrayf = arrayf = [];\n\t\t\t\t\tcolinfo = []; rowinfo = [];\n\t\t\t\t\tdefwidth = defheight = 0;\n\t\t\t\t\tseencol = false;\n\t\t\t\t\twsprops = {Hidden:(Directory[s]||{hs:0}).hs, name:cur_sheet };\n\t\t\t\t} break;\n\n\t\t\t\tcase 'Number': case 'BIFF2NUM': case 'BIFF2INT': {\n\t\t\t\t\tif(out[\"!type\"] == \"chart\") if(options.dense ? (out[val.r]||[])[val.c]: out[encode_cell({c:val.c, r:val.r})]) ++val.c;\n\t\t\t\t\ttemp_val = ({ixfe: val.ixfe, XF: XFs[val.ixfe]||{}, v:val.val, t:'n'});\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'BoolErr': {\n\t\t\t\t\ttemp_val = ({ixfe: val.ixfe, XF: XFs[val.ixfe], v:val.val, t:val.t});\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'RK': {\n\t\t\t\t\ttemp_val = ({ixfe: val.ixfe, XF: XFs[val.ixfe], v:val.rknum, t:'n'});\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'MulRk': {\n\t\t\t\t\tfor(var j = val.c; j <= val.C; ++j) {\n\t\t\t\t\t\tvar ixfe = val.rkrec[j-val.c][0];\n\t\t\t\t\t\ttemp_val= ({ixfe:ixfe, XF:XFs[ixfe], v:val.rkrec[j-val.c][1], t:'n'});\n\t\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\t\taddcell({c:j, r:val.r}, temp_val, options);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'Formula': {\n\t\t\t\t\tif(val.val == 'String') { last_formula = val; break; }\n\t\t\t\t\ttemp_val = make_cell(val.val, val.cell.ixfe, val.tt);\n\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\tif(options.cellFormula) {\n\t\t\t\t\t\tvar _f = val.formula;\n\t\t\t\t\t\tif(_f && _f[0] && _f[0][0] && _f[0][0][0] == 'PtgExp') {\n\t\t\t\t\t\t\tvar _fr = _f[0][0][1][0], _fc = _f[0][0][1][1];\n\t\t\t\t\t\t\tvar _fe = encode_cell({r:_fr, c:_fc});\n\t\t\t\t\t\t\tif(sharedf[_fe]) temp_val.f = \"\"+stringify_formula(val.formula,range,val.cell,supbooks, opts);\n\t\t\t\t\t\t\telse temp_val.F = ((options.dense ? (out[_fr]||[])[_fc]: out[_fe]) || {}).F;\n\t\t\t\t\t\t} else temp_val.f = \"\"+stringify_formula(val.formula,range,val.cell,supbooks, opts);\n\t\t\t\t\t}\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell(val.cell, temp_val, options);\n\t\t\t\t\tlast_formula = val;\n\t\t\t\t} break;\n\t\t\t\tcase 'String': {\n\t\t\t\t\tif(last_formula) { /* technically always true */\n\t\t\t\t\t\tlast_formula.val = val;\n\t\t\t\t\t\ttemp_val = make_cell(val, last_formula.cell.ixfe, 's');\n\t\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\t\tif(options.cellFormula) {\n\t\t\t\t\t\t\ttemp_val.f = \"\"+stringify_formula(last_formula.formula, range, last_formula.cell, supbooks, opts);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\t\taddcell(last_formula.cell, temp_val, options);\n\t\t\t\t\t\tlast_formula = null;\n\t\t\t\t\t} else throw new Error(\"String record expects Formula\");\n\t\t\t\t} break;\n\t\t\t\tcase 'Array': {\n\t\t\t\t\tarrayf.push(val);\n\t\t\t\t\tvar _arraystart = encode_cell(val[0].s);\n\t\t\t\t\tcc = options.dense ? (out[val[0].s.r]||[])[val[0].s.c] : out[_arraystart];\n\t\t\t\t\tif(options.cellFormula && cc) {\n\t\t\t\t\t\tif(!last_formula) break; /* technically unreachable */\n\t\t\t\t\t\tif(!_arraystart || !cc) break;\n\t\t\t\t\t\tcc.f = \"\"+stringify_formula(val[1], range, val[0], supbooks, opts);\n\t\t\t\t\t\tcc.F = encode_range(val[0]);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'ShrFmla': {\n\t\t\t\t\tif(!cell_valid) break;\n\t\t\t\t\tif(!options.cellFormula) break;\n\t\t\t\t\tif(last_cell) {\n\t\t\t\t\t\t/* TODO: capture range */\n\t\t\t\t\t\tif(!last_formula) break; /* technically unreachable */\n\t\t\t\t\t\tsharedf[encode_cell(last_formula.cell)]= val[0];\n\t\t\t\t\t\tcc = options.dense ? (out[last_formula.cell.r]||[])[last_formula.cell.c] : out[encode_cell(last_formula.cell)];\n\t\t\t\t\t\t(cc||{}).f = \"\"+stringify_formula(val[0], range, lastcell, supbooks, opts);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'LabelSst':\n\t\t\t\t\ttemp_val=make_cell(sst[val.isst].t, val.ixfe, 's');\n\t\t\t\t\tif(sst[val.isst].h) temp_val.h = sst[val.isst].h;\n\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'Blank': if(options.sheetStubs) {\n\t\t\t\t\ttemp_val = ({ixfe: val.ixfe, XF: XFs[val.ixfe], t:'z'});\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'MulBlank': if(options.sheetStubs) {\n\t\t\t\t\tfor(var _j = val.c; _j <= val.C; ++_j) {\n\t\t\t\t\t\tvar _ixfe = val.ixfe[_j-val.c];\n\t\t\t\t\t\ttemp_val= ({ixfe:_ixfe, XF:XFs[_ixfe], t:'z'});\n\t\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\t\taddcell({c:_j, r:val.r}, temp_val, options);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'RString':\n\t\t\t\tcase 'Label': case 'BIFF2STR':\n\t\t\t\t\ttemp_val=make_cell(val.val, val.ixfe, 's');\n\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\tif(BIFF2Fmt > 0) temp_val.z = BIFF2FmtTable[(temp_val.ixfe>>8) & 0x1F];\n\t\t\t\t\tsafe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'Dimensions': {\n\t\t\t\t\tif(file_depth === 1) range = val; /* TODO: stack */\n\t\t\t\t} break;\n\t\t\t\tcase 'SST': {\n\t\t\t\t\tsst = val;\n\t\t\t\t} break;\n\t\t\t\tcase 'Format': { /* val = [id, fmt] */\n\t\t\t\t\tif(opts.biff == 4) {\n\t\t\t\t\t\tBIFF2FmtTable[BIFF2Fmt++] = val[1];\n\t\t\t\t\t\tfor(var b4idx = 0; b4idx < BIFF2Fmt + 163; ++b4idx) if(SSF._table[b4idx] == val[1]) break;\n\t\t\t\t\t\tif(b4idx >= 163) SSF.load(val[1], BIFF2Fmt + 163);\n\t\t\t\t\t}\n\t\t\t\t\telse SSF.load(val[1], val[0]);\n\t\t\t\t} break;\n\t\t\t\tcase 'BIFF2FORMAT': {\n\t\t\t\t\tBIFF2FmtTable[BIFF2Fmt++] = val;\n\t\t\t\t\tfor(var b2idx = 0; b2idx < BIFF2Fmt + 163; ++b2idx) if(SSF._table[b2idx] == val) break;\n\t\t\t\t\tif(b2idx >= 163) SSF.load(val, BIFF2Fmt + 163);\n\t\t\t\t} break;\n\n\t\t\t\tcase 'MergeCells': merges = merges.concat(val); break;\n\n\t\t\t\tcase 'Obj': objects[val.cmo[0]] = opts.lastobj = val; break;\n\t\t\t\tcase 'TxO': opts.lastobj.TxO = val; break;\n\t\t\t\tcase 'ImData': opts.lastobj.ImData = val; break;\n\n\t\t\t\tcase 'HLink': {\n\t\t\t\t\tfor(rngR = val[0].s.r; rngR <= val[0].e.r; ++rngR)\n\t\t\t\t\t\tfor(rngC = val[0].s.c; rngC <= val[0].e.c; ++rngC) {\n\t\t\t\t\t\t\tcc = options.dense ? (out[rngR]||[])[rngC] : out[encode_cell({c:rngC,r:rngR})];\n\t\t\t\t\t\t\tif(cc) cc.l = val[1];\n\t\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'HLinkTooltip': {\n\t\t\t\t\tfor(rngR = val[0].s.r; rngR <= val[0].e.r; ++rngR)\n\t\t\t\t\t\tfor(rngC = val[0].s.c; rngC <= val[0].e.c; ++rngC) {\n\t\t\t\t\t\t\tcc = options.dense ? (out[rngR]||[])[rngC] : out[encode_cell({c:rngC,r:rngR})];\n\t\t\t\t\t\t\tif(cc && cc.l) cc.l.Tooltip = val[1];\n\t\t\t\t\t\t\t}\n\t\t\t\t} break;\n\n\t\t\t\t/* Comments */\n\t\t\t\tcase 'Note': {\n\t\t\t\t\tif(opts.biff <= 5 && opts.biff >= 2) break; /* TODO: BIFF5 */\n\t\t\t\t\tcc = options.dense ? (out[val[0].r]||[])[val[0].c] : out[encode_cell(val[0])];\n\t\t\t\t\tvar noteobj = objects[val[2]];\n\t\t\t\t\tif(!cc) {\n\t\t\t\t\t\tif(options.dense) {\n\t\t\t\t\t\t\tif(!out[val[0].r]) out[val[0].r] = [];\n\t\t\t\t\t\t\tcc = out[val[0].r][val[0].c] = ({t:\"z\"});\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tcc = out[encode_cell(val[0])] = ({t:\"z\"});\n\t\t\t\t\t\t}\n\t\t\t\t\t\trange.e.r = Math.max(range.e.r, val[0].r);\n\t\t\t\t\t\trange.s.r = Math.min(range.s.r, val[0].r);\n\t\t\t\t\t\trange.e.c = Math.max(range.e.c, val[0].c);\n\t\t\t\t\t\trange.s.c = Math.min(range.s.c, val[0].c);\n\t\t\t\t\t}\n\t\t\t\t\tif(!cc.c) cc.c = [];\n\t\t\t\t\tcmnt = {a:val[1],t:noteobj.TxO.t};\n\t\t\t\t\tcc.c.push(cmnt);\n\t\t\t\t} break;\n\n\t\t\t\tdefault: switch(R.n) { /* nested */\n\t\t\t\tcase 'ClrtClient': break;\n\t\t\t\tcase 'XFExt': update_xfext(XFs[val.ixfe], val.ext); break;\n\n\t\t\t\tcase 'DefColWidth': defwidth = val; break;\n\t\t\t\tcase 'DefaultRowHeight': defheight = val[1]; break; // TODO: flags\n\n\t\t\t\tcase 'ColInfo': {\n\t\t\t\t\tif(!opts.cellStyles) break;\n\t\t\t\t\twhile(val.e >= val.s) {\n\t\t\t\t\t\tcolinfo[val.e--] = { width: val.w/256 };\n\t\t\t\t\t\tif(!seencol) { seencol = true; find_mdw_colw(val.w/256); }\n\t\t\t\t\t\tprocess_col(colinfo[val.e+1]);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'Row': {\n\t\t\t\t\tvar rowobj = {};\n\t\t\t\t\tif(val.level != null) { rowinfo[val.r] = rowobj; rowobj.level = val.level; }\n\t\t\t\t\tif(val.hidden) { rowinfo[val.r] = rowobj; rowobj.hidden = true; }\n\t\t\t\t\tif(val.hpt) {\n\t\t\t\t\t\trowinfo[val.r] = rowobj;\n\t\t\t\t\t\trowobj.hpt = val.hpt; rowobj.hpx = pt2px(val.hpt);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\n\t\t\t\tcase 'LeftMargin':\n\t\t\t\tcase 'RightMargin':\n\t\t\t\tcase 'TopMargin':\n\t\t\t\tcase 'BottomMargin':\n\t\t\t\t\tif(!out['!margins']) default_margins(out['!margins'] = {});\n\t\t\t\t\tout['!margins'][Rn.slice(0,-6).toLowerCase()] = val;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'Setup': // TODO\n\t\t\t\t\tif(!out['!margins']) default_margins(out['!margins'] = {});\n\t\t\t\t\tout['!margins'].header = val.header;\n\t\t\t\t\tout['!margins'].footer = val.footer;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'Window2': // TODO\n\t\t\t\t\t// $FlowIgnore\n\t\t\t\t\tif(val.RTL) Workbook.Views[0].RTL = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'Header': break; // TODO\n\t\t\t\tcase 'Footer': break; // TODO\n\t\t\t\tcase 'HCenter': break; // TODO\n\t\t\t\tcase 'VCenter': break; // TODO\n\t\t\t\tcase 'Pls': break; // TODO\n\t\t\t\tcase 'GCW': break;\n\t\t\t\tcase 'LHRecord': break;\n\t\t\t\tcase 'DBCell': break; // TODO\n\t\t\t\tcase 'EntExU2': break; // TODO\n\t\t\t\tcase 'SxView': break; // TODO\n\t\t\t\tcase 'Sxvd': break; // TODO\n\t\t\t\tcase 'SXVI': break; // TODO\n\t\t\t\tcase 'SXVDEx': break; // TODO\n\t\t\t\tcase 'SxIvd': break; // TODO\n\t\t\t\tcase 'SXString': break; // TODO\n\t\t\t\tcase 'Sync': break;\n\t\t\t\tcase 'Addin': break;\n\t\t\t\tcase 'SXDI': break; // TODO\n\t\t\t\tcase 'SXLI': break; // TODO\n\t\t\t\tcase 'SXEx': break; // TODO\n\t\t\t\tcase 'QsiSXTag': break; // TODO\n\t\t\t\tcase 'Selection': break;\n\t\t\t\tcase 'Feat': break;\n\t\t\t\tcase 'FeatHdr': case 'FeatHdr11': break;\n\t\t\t\tcase 'Feature11': case 'Feature12': case 'List12': break;\n\t\t\t\tcase 'Country': country = val; break;\n\t\t\t\tcase 'RecalcId': break;\n\t\t\t\tcase 'DxGCol': break; // TODO: htmlify\n\t\t\t\tcase 'Fbi': case 'Fbi2': case 'GelFrame': break;\n\t\t\t\tcase 'Font': break; // TODO\n\t\t\t\tcase 'XFCRC': break; // TODO\n\t\t\t\tcase 'Style': break; // TODO\n\t\t\t\tcase 'StyleExt': break; // TODO\n\t\t\t\tcase 'Palette': palette = val; break;\n\t\t\t\tcase 'Theme': themes = val; break;\n\t\t\t\t/* Protection */\n\t\t\t\tcase 'ScenarioProtect': break;\n\t\t\t\tcase 'ObjProtect': break;\n\n\t\t\t\t/* Conditional Formatting */\n\t\t\t\tcase 'CondFmt12': break;\n\n\t\t\t\t/* Table */\n\t\t\t\tcase 'Table': break; // TODO\n\t\t\t\tcase 'TableStyles': break; // TODO\n\t\t\t\tcase 'TableStyle': break; // TODO\n\t\t\t\tcase 'TableStyleElement': break; // TODO\n\n\t\t\t\t/* PivotTable */\n\t\t\t\tcase 'SXStreamID': break; // TODO\n\t\t\t\tcase 'SXVS': break; // TODO\n\t\t\t\tcase 'DConRef': break; // TODO\n\t\t\t\tcase 'SXAddl': break; // TODO\n\t\t\t\tcase 'DConBin': break; // TODO\n\t\t\t\tcase 'DConName': break; // TODO\n\t\t\t\tcase 'SXPI': break; // TODO\n\t\t\t\tcase 'SxFormat': break; // TODO\n\t\t\t\tcase 'SxSelect': break; // TODO\n\t\t\t\tcase 'SxRule': break; // TODO\n\t\t\t\tcase 'SxFilt': break; // TODO\n\t\t\t\tcase 'SxItm': break; // TODO\n\t\t\t\tcase 'SxDXF': break; // TODO\n\n\t\t\t\t/* Scenario Manager */\n\t\t\t\tcase 'ScenMan': break;\n\n\t\t\t\t/* Data Consolidation */\n\t\t\t\tcase 'DCon': break;\n\n\t\t\t\t/* Watched Cell */\n\t\t\t\tcase 'CellWatch': break;\n\n\t\t\t\t/* Print Settings */\n\t\t\t\tcase 'PrintRowCol': break;\n\t\t\t\tcase 'PrintGrid': break;\n\t\t\t\tcase 'PrintSize': break;\n\n\t\t\t\tcase 'XCT': break;\n\t\t\t\tcase 'CRN': break;\n\n\t\t\t\tcase 'Scl': {\n\t\t\t\t\t//console.log(\"Zoom Level:\", val[0]/val[1],val);\n\t\t\t\t} break;\n\t\t\t\tcase 'SheetExt': {\n\t\t\t\t\t/* empty */\n\t\t\t\t} break;\n\t\t\t\tcase 'SheetExtOptional': {\n\t\t\t\t\t/* empty */\n\t\t\t\t} break;\n\n\t\t\t\t/* VBA */\n\t\t\t\tcase 'ObNoMacros': {\n\t\t\t\t\t/* empty */\n\t\t\t\t} break;\n\t\t\t\tcase 'ObProj': {\n\t\t\t\t\t/* empty */\n\t\t\t\t} break;\n\t\t\t\tcase 'CodeName': {\nif(!cur_sheet) Workbook.WBProps.CodeName = val || \"ThisWorkbook\";\n\t\t\t\t\telse wsprops.CodeName = val || wsprops.name;\n\t\t\t\t} break;\n\t\t\t\tcase 'GUIDTypeLib': {\n\t\t\t\t\t/* empty */\n\t\t\t\t} break;\n\n\t\t\t\tcase 'WOpt': break; // TODO: WTF?\n\t\t\t\tcase 'PhoneticInfo': break;\n\n\t\t\t\tcase 'OleObjectSize': break;\n\n\t\t\t\t/* Differential Formatting */\n\t\t\t\tcase 'DXF': case 'DXFN': case 'DXFN12': case 'DXFN12List': case 'DXFN12NoCB': break;\n\n\t\t\t\t/* Data Validation */\n\t\t\t\tcase 'Dv': case 'DVal': break;\n\n\t\t\t\t/* Data Series */\n\t\t\t\tcase 'BRAI': case 'Series': case 'SeriesText': break;\n\n\t\t\t\t/* Data Connection */\n\t\t\t\tcase 'DConn': break;\n\t\t\t\tcase 'DbOrParamQry': break;\n\t\t\t\tcase 'DBQueryExt': break;\n\n\t\t\t\tcase 'OleDbConn': break;\n\t\t\t\tcase 'ExtString': break;\n\n\t\t\t\t/* Formatting */\n\t\t\t\tcase 'IFmtRecord': break;\n\t\t\t\tcase 'CondFmt': case 'CF': case 'CF12': case 'CFEx': break;\n\n\t\t\t\t/* Explicitly Ignored */\n\t\t\t\tcase 'Excel9File': break;\n\t\t\t\tcase 'Units': break;\n\t\t\t\tcase 'InterfaceHdr': case 'Mms': case 'InterfaceEnd': case 'DSF': break;\n\t\t\t\tcase 'BuiltInFnGroupCount': /* 2.4.30 0x0E or 0x10 but excel 2011 generates 0x11? */ break;\n\t\t\t\t/* View Stuff */\n\t\t\t\tcase 'Window1': case 'HideObj': case 'GridSet': case 'Guts':\n\t\t\t\tcase 'UserBView': case 'UserSViewBegin': case 'UserSViewEnd': break;\n\t\t\t\tcase 'Pane': break;\n\t\t\t\tdefault: switch(R.n) { /* nested */\n\t\t\t\t/* Chart */\n\t\t\t\tcase 'Dat':\n\t\t\t\tcase 'Begin': case 'End':\n\t\t\t\tcase 'StartBlock': case 'EndBlock':\n\t\t\t\tcase 'Frame': case 'Area':\n\t\t\t\tcase 'Axis': case 'AxisLine': case 'Tick': break;\n\t\t\t\tcase 'AxesUsed':\n\t\t\t\tcase 'CrtLayout12': case 'CrtLayout12A': case 'CrtLink': case 'CrtLine': case 'CrtMlFrt': case 'CrtMlFrtContinue': break;\n\t\t\t\tcase 'LineFormat': case 'AreaFormat':\n\t\t\t\tcase 'Chart': case 'Chart3d': case 'Chart3DBarShape': case 'ChartFormat': case 'ChartFrtInfo': break;\n\t\t\t\tcase 'PlotArea': case 'PlotGrowth': break;\n\t\t\t\tcase 'SeriesList': case 'SerParent': case 'SerAuxTrend': break;\n\t\t\t\tcase 'DataFormat': case 'SerToCrt': case 'FontX': break;\n\t\t\t\tcase 'CatSerRange': case 'AxcExt': case 'SerFmt': break;\n\t\t\t\tcase 'ShtProps': break;\n\t\t\t\tcase 'DefaultText': case 'Text': case 'CatLab': break;\n\t\t\t\tcase 'DataLabExtContents': break;\n\t\t\t\tcase 'Legend': case 'LegendException': break;\n\t\t\t\tcase 'Pie': case 'Scatter': break;\n\t\t\t\tcase 'PieFormat': case 'MarkerFormat': break;\n\t\t\t\tcase 'StartObject': case 'EndObject': break;\n\t\t\t\tcase 'AlRuns': case 'ObjectLink': break;\n\t\t\t\tcase 'SIIndex': break;\n\t\t\t\tcase 'AttachedLabel': case 'YMult': break;\n\n\t\t\t\t/* Chart Group */\n\t\t\t\tcase 'Line': case 'Bar': break;\n\t\t\t\tcase 'Surf': break;\n\n\t\t\t\t/* Axis Group */\n\t\t\t\tcase 'AxisParent': break;\n\t\t\t\tcase 'Pos': break;\n\t\t\t\tcase 'ValueRange': break;\n\n\t\t\t\t/* Pivot Chart */\n\t\t\t\tcase 'SXViewEx9': break; // TODO\n\t\t\t\tcase 'SXViewLink': break;\n\t\t\t\tcase 'PivotChartBits': break;\n\t\t\t\tcase 'SBaseRef': break;\n\t\t\t\tcase 'TextPropsStream': break;\n\n\t\t\t\t/* Chart Misc */\n\t\t\t\tcase 'LnExt': break;\n\t\t\t\tcase 'MkrExt': break;\n\t\t\t\tcase 'CrtCoopt': break;\n\n\t\t\t\t/* Query Table */\n\t\t\t\tcase 'Qsi': case 'Qsif': case 'Qsir': case 'QsiSXTag': break;\n\t\t\t\tcase 'TxtQry': break;\n\n\t\t\t\t/* Filter */\n\t\t\t\tcase 'FilterMode': break;\n\t\t\t\tcase 'AutoFilter': case 'AutoFilterInfo': break;\n\t\t\t\tcase 'AutoFilter12': break;\n\t\t\t\tcase 'DropDownObjIds': break;\n\t\t\t\tcase 'Sort': break;\n\t\t\t\tcase 'SortData': break;\n\n\t\t\t\t/* Drawing */\n\t\t\t\tcase 'ShapePropsStream': break;\n\t\t\t\tcase 'MsoDrawing': case 'MsoDrawingGroup': case 'MsoDrawingSelection': break;\n\t\t\t\t/* Pub Stuff */\n\t\t\t\tcase 'WebPub': case 'AutoWebPub': break;\n\n\t\t\t\t/* Print Stuff */\n\t\t\t\tcase 'HeaderFooter': case 'HFPicture': case 'PLV':\n\t\t\t\tcase 'HorizontalPageBreaks': case 'VerticalPageBreaks': break;\n\t\t\t\t/* Behavioral */\n\t\t\t\tcase 'Backup': case 'CompressPictures': case 'Compat12': break;\n\n\t\t\t\t/* Should not Happen */\n\t\t\t\tcase 'Continue': case 'ContinueFrt12': break;\n\n\t\t\t\t/* Future Records */\n\t\t\t\tcase 'FrtFontList': case 'FrtWrapper': break;\n\n\t\t\t\tdefault: switch(R.n) { /* nested */\n\t\t\t\t/* BIFF5 records */\n\t\t\t\tcase 'TabIdConf': case 'Radar': case 'RadarArea': case 'DropBar': case 'Intl': case 'CoordList': case 'SerAuxErrBar': break;\n\n\t\t\t\t/* BIFF2-4 records */\n\t\t\t\tcase 'BIFF2FONTCLR': case 'BIFF2FMTCNT': case 'BIFF2FONTXTRA': break;\n\t\t\t\tcase 'BIFF2XF': case 'BIFF3XF': case 'BIFF4XF': break;\n\t\t\t\tcase 'BIFF4FMTCNT': case 'BIFF2ROW': case 'BIFF2WINDOW2': break;\n\n\t\t\t\t/* Miscellaneous */\n\t\t\t\tcase 'SCENARIO': case 'DConBin': case 'PicF': case 'DataLabExt':\n\t\t\t\tcase 'Lel': case 'BopPop': case 'BopPopCustom': case 'RealTimeData':\n\t\t\t\tcase 'Name': break;\n\t\t\t\tcase 'LHNGraph': case 'FnGroupName': case 'AddMenu': case 'LPr': break;\n\t\t\t\tcase 'ListObj': case 'ListField': break;\n\t\t\t\tcase 'RRSort': break;\n\t\t\t\tcase 'BigName': break;\n\t\t\t\tcase 'ToolbarHdr': case 'ToolbarEnd': break;\n\t\t\t\tcase 'DDEObjName': break;\n\t\t\t\tcase 'FRTArchId$': break;\n\t\t\t\tdefault: if(options.WTF) throw 'Unrecognized Record ' + R.n;\n\t\t\t}}}}\n\t\t} else blob.l += length;\n\t}\n\twb.SheetNames=keys(Directory).sort(function(a,b) { return Number(a) - Number(b); }).map(function(x){return Directory[x].name;});\n\tif(!options.bookSheets) wb.Sheets=Sheets;\n\tif(wb.Sheets) FilterDatabases.forEach(function(r,i) { wb.Sheets[wb.SheetNames[i]]['!autofilter'] = r; });\n\twb.Preamble=Preamble;\n\twb.Strings = sst;\n\twb.SSF = SSF.get_table();\n\tif(opts.enc) wb.Encryption = opts.enc;\n\tif(themes) wb.Themes = themes;\n\twb.Metadata = {};\n\tif(country !== undefined) wb.Metadata.Country = country;\n\tif(supbooks.names.length > 0) Workbook.Names = supbooks.names;\n\twb.Workbook = Workbook;\n\treturn wb;\n}\n\n/* TODO: split props*/\nvar PSCLSID = {\n\tSI: \"e0859ff2f94f6810ab9108002b27b3d9\",\n\tDSI: \"02d5cdd59c2e1b10939708002b2cf9ae\",\n\tUDI: \"05d5cdd59c2e1b10939708002b2cf9ae\"\n};\nfunction parse_xls_props(cfb, props, o) {\n\t/* [MS-OSHARED] 2.3.3.2.2 Document Summary Information Property Set */\n\tvar DSI = CFB.find(cfb, '!DocumentSummaryInformation');\n\tif(DSI && DSI.size > 0) try {\n\t\tvar DocSummary = parse_PropertySetStream(DSI, DocSummaryPIDDSI, PSCLSID.DSI);\n\t\tfor(var d in DocSummary) props[d] = DocSummary[d];\n\t} catch(e) {if(o.WTF) throw e;/* empty */}\n\n\t/* [MS-OSHARED] 2.3.3.2.1 Summary Information Property Set*/\n\tvar SI = CFB.find(cfb, '!SummaryInformation');\n\tif(SI && SI.size > 0) try {\n\t\tvar Summary = parse_PropertySetStream(SI, SummaryPIDSI, PSCLSID.SI);\n\t\tfor(var s in Summary) if(props[s] == null) props[s] = Summary[s];\n\t} catch(e) {if(o.WTF) throw e;/* empty */}\n\n\tif(props.HeadingPairs && props.TitlesOfParts) {\n\t\tload_props_pairs(props.HeadingPairs, props.TitlesOfParts, props, o);\n\t\tdelete props.HeadingPairs; delete props.TitlesOfParts;\n\t}\n}\nfunction write_xls_props(wb, cfb) {\n\tvar DSEntries = [], SEntries = [], CEntries = [];\n\tvar i = 0, Keys;\n\tif(wb.Props) {\n\t\tKeys = keys(wb.Props);\n\t\t// $FlowIgnore\n\t\tfor(i = 0; i < Keys.length; ++i) (Object.prototype.hasOwnProperty.call(DocSummaryRE, Keys[i]) ? DSEntries : Object.prototype.hasOwnProperty.call(SummaryRE, Keys[i]) ? SEntries : CEntries).push([Keys[i], wb.Props[Keys[i]]]);\n\t}\n\tif(wb.Custprops) {\n\t\tKeys = keys(wb.Custprops);\n\t\t// $FlowIgnore\n\t\tfor(i = 0; i < Keys.length; ++i) if(!Object.prototype.hasOwnProperty.call((wb.Props||{}), Keys[i])) (Object.prototype.hasOwnProperty.call(DocSummaryRE, Keys[i]) ? DSEntries : Object.prototype.hasOwnProperty.call(SummaryRE, Keys[i]) ? SEntries : CEntries).push([Keys[i], wb.Custprops[Keys[i]]]);\n\t}\n\tvar CEntries2 = [];\n\tfor(i = 0; i < CEntries.length; ++i) {\n\t\tif(XLSPSSkip.indexOf(CEntries[i][0]) > -1) continue;\n\t\tif(CEntries[i][1] == null) continue;\n\t\tCEntries2.push(CEntries[i]);\n\t}\n\tif(SEntries.length) CFB.utils.cfb_add(cfb, \"/\\u0005SummaryInformation\", write_PropertySetStream(SEntries, PSCLSID.SI, SummaryRE, SummaryPIDSI));\n\tif(DSEntries.length || CEntries2.length) CFB.utils.cfb_add(cfb, \"/\\u0005DocumentSummaryInformation\", write_PropertySetStream(DSEntries, PSCLSID.DSI, DocSummaryRE, DocSummaryPIDDSI, CEntries2.length ? CEntries2 : null, PSCLSID.UDI));\n}\n\nfunction parse_xlscfb(cfb, options) {\nif(!options) options = {};\nfix_read_opts(options);\nreset_cp();\nif(options.codepage) set_ansi(options.codepage);\nvar CompObj, WB;\nif(cfb.FullPaths) {\n\tif(CFB.find(cfb, '/encryption')) throw new Error(\"File is password-protected\");\n\tCompObj = CFB.find(cfb, '!CompObj');\n\tWB = CFB.find(cfb, '/Workbook') || CFB.find(cfb, '/Book');\n} else {\n\tswitch(options.type) {\n\t\tcase 'base64': cfb = s2a(Base64.decode(cfb)); break;\n\t\tcase 'binary': cfb = s2a(cfb); break;\n\t\tcase 'buffer': break;\n\t\tcase 'array': if(!Array.isArray(cfb)) cfb = Array.prototype.slice.call(cfb); break;\n\t}\n\tprep_blob(cfb, 0);\n\tWB = ({content: cfb});\n}\nvar WorkbookP;\n\nvar _data;\nif(CompObj) parse_compobj(CompObj);\nif(options.bookProps && !options.bookSheets) WorkbookP = ({});\nelse {\n\tvar T = has_buf ? 'buffer' : 'array';\n\tif(WB && WB.content) WorkbookP = parse_workbook(WB.content, options);\n\t/* Quattro Pro 7-8 */\n\telse if((_data=CFB.find(cfb, 'PerfectOffice_MAIN')) && _data.content) WorkbookP = WK_.to_workbook(_data.content, (options.type = T, options));\n\t/* Quattro Pro 9 */\n\telse if((_data=CFB.find(cfb, 'NativeContent_MAIN')) && _data.content) WorkbookP = WK_.to_workbook(_data.content, (options.type = T, options));\n\telse throw new Error(\"Cannot find Workbook stream\");\n\tif(options.bookVBA && cfb.FullPaths && CFB.find(cfb, '/_VBA_PROJECT_CUR/VBA/dir')) WorkbookP.vbaraw = make_vba_xls(cfb);\n}\n\nvar props = {};\nif(cfb.FullPaths) parse_xls_props(cfb, props, options);\n\nWorkbookP.Props = WorkbookP.Custprops = props; /* TODO: split up properties */\nif(options.bookFiles) WorkbookP.cfb = cfb;\n/*WorkbookP.CompObjP = CompObjP; // TODO: storage? */\nreturn WorkbookP;\n}\n\n\nfunction write_xlscfb(wb, opts) {\n\tvar o = opts || {};\n\tvar cfb = CFB.utils.cfb_new({root:\"R\"});\n\tvar wbpath = \"/Workbook\";\n\tswitch(o.bookType || \"xls\") {\n\t\tcase \"xls\": o.bookType = \"biff8\";\n\t\t/* falls through */\n\t\tcase \"xla\": if(!o.bookType) o.bookType = \"xla\";\n\t\t/* falls through */\n\t\tcase \"biff8\": wbpath = \"/Workbook\"; o.biff = 8; break;\n\t\tcase \"biff5\": wbpath = \"/Book\"; o.biff = 5; break;\n\t\tdefault: throw new Error(\"invalid type \" + o.bookType + \" for XLS CFB\");\n\t}\n\tCFB.utils.cfb_add(cfb, wbpath, write_biff_buf(wb, o));\n\tif(o.biff == 8 && (wb.Props || wb.Custprops)) write_xls_props(wb, cfb);\n\t// TODO: SI, DSI, CO\n\tif(o.biff == 8 && wb.vbaraw) fill_vba_xls(cfb, CFB.read(wb.vbaraw, {type: typeof wb.vbaraw == \"string\" ? \"binary\" : \"buffer\"}));\n\treturn cfb;\n}\n/* [MS-XLSB] 2.3 Record Enumeration */\nvar XLSBRecordEnum = {\n0x0000: { n:\"BrtRowHdr\", f:parse_BrtRowHdr },\n0x0001: { n:\"BrtCellBlank\", f:parse_BrtCellBlank },\n0x0002: { n:\"BrtCellRk\", f:parse_BrtCellRk },\n0x0003: { n:\"BrtCellError\", f:parse_BrtCellError },\n0x0004: { n:\"BrtCellBool\", f:parse_BrtCellBool },\n0x0005: { n:\"BrtCellReal\", f:parse_BrtCellReal },\n0x0006: { n:\"BrtCellSt\", f:parse_BrtCellSt },\n0x0007: { n:\"BrtCellIsst\", f:parse_BrtCellIsst },\n0x0008: { n:\"BrtFmlaString\", f:parse_BrtFmlaString },\n0x0009: { n:\"BrtFmlaNum\", f:parse_BrtFmlaNum },\n0x000A: { n:\"BrtFmlaBool\", f:parse_BrtFmlaBool },\n0x000B: { n:\"BrtFmlaError\", f:parse_BrtFmlaError },\n0x0010: { n:\"BrtFRTArchID$\", f:parse_BrtFRTArchID$ },\n0x0013: { n:\"BrtSSTItem\", f:parse_RichStr },\n0x0014: { n:\"BrtPCDIMissing\" },\n0x0015: { n:\"BrtPCDINumber\" },\n0x0016: { n:\"BrtPCDIBoolean\" },\n0x0017: { n:\"BrtPCDIError\" },\n0x0018: { n:\"BrtPCDIString\" },\n0x0019: { n:\"BrtPCDIDatetime\" },\n0x001A: { n:\"BrtPCDIIndex\" },\n0x001B: { n:\"BrtPCDIAMissing\" },\n0x001C: { n:\"BrtPCDIANumber\" },\n0x001D: { n:\"BrtPCDIABoolean\" },\n0x001E: { n:\"BrtPCDIAError\" },\n0x001F: { n:\"BrtPCDIAString\" },\n0x0020: { n:\"BrtPCDIADatetime\" },\n0x0021: { n:\"BrtPCRRecord\" },\n0x0022: { n:\"BrtPCRRecordDt\" },\n0x0023: { n:\"BrtFRTBegin\" },\n0x0024: { n:\"BrtFRTEnd\" },\n0x0025: { n:\"BrtACBegin\" },\n0x0026: { n:\"BrtACEnd\" },\n0x0027: { n:\"BrtName\", f:parse_BrtName },\n0x0028: { n:\"BrtIndexRowBlock\" },\n0x002A: { n:\"BrtIndexBlock\" },\n0x002B: { n:\"BrtFont\", f:parse_BrtFont },\n0x002C: { n:\"BrtFmt\", f:parse_BrtFmt },\n0x002D: { n:\"BrtFill\", f:parse_BrtFill },\n0x002E: { n:\"BrtBorder\", f:parse_BrtBorder },\n0x002F: { n:\"BrtXF\", f:parse_BrtXF },\n0x0030: { n:\"BrtStyle\" },\n0x0031: { n:\"BrtCellMeta\" },\n0x0032: { n:\"BrtValueMeta\" },\n0x0033: { n:\"BrtMdb\" },\n0x0034: { n:\"BrtBeginFmd\" },\n0x0035: { n:\"BrtEndFmd\" },\n0x0036: { n:\"BrtBeginMdx\" },\n0x0037: { n:\"BrtEndMdx\" },\n0x0038: { n:\"BrtBeginMdxTuple\" },\n0x0039: { n:\"BrtEndMdxTuple\" },\n0x003A: { n:\"BrtMdxMbrIstr\" },\n0x003B: { n:\"BrtStr\" },\n0x003C: { n:\"BrtColInfo\", f:parse_ColInfo },\n0x003E: { n:\"BrtCellRString\" },\n0x003F: { n:\"BrtCalcChainItem$\", f:parse_BrtCalcChainItem$ },\n0x0040: { n:\"BrtDVal\", f:parse_BrtDVal },\n0x0041: { n:\"BrtSxvcellNum\" },\n0x0042: { n:\"BrtSxvcellStr\" },\n0x0043: { n:\"BrtSxvcellBool\" },\n0x0044: { n:\"BrtSxvcellErr\" },\n0x0045: { n:\"BrtSxvcellDate\" },\n0x0046: { n:\"BrtSxvcellNil\" },\n0x0080: { n:\"BrtFileVersion\" },\n0x0081: { n:\"BrtBeginSheet\" },\n0x0082: { n:\"BrtEndSheet\" },\n0x0083: { n:\"BrtBeginBook\", f:parsenoop, p:0 },\n0x0084: { n:\"BrtEndBook\" },\n0x0085: { n:\"BrtBeginWsViews\" },\n0x0086: { n:\"BrtEndWsViews\" },\n0x0087: { n:\"BrtBeginBookViews\" },\n0x0088: { n:\"BrtEndBookViews\" },\n0x0089: { n:\"BrtBeginWsView\", f:parse_BrtBeginWsView },\n0x008A: { n:\"BrtEndWsView\" },\n0x008B: { n:\"BrtBeginCsViews\" },\n0x008C: { n:\"BrtEndCsViews\" },\n0x008D: { n:\"BrtBeginCsView\" },\n0x008E: { n:\"BrtEndCsView\" },\n0x008F: { n:\"BrtBeginBundleShs\" },\n0x0090: { n:\"BrtEndBundleShs\" },\n0x0091: { n:\"BrtBeginSheetData\" },\n0x0092: { n:\"BrtEndSheetData\" },\n0x0093: { n:\"BrtWsProp\", f:parse_BrtWsProp },\n0x0094: { n:\"BrtWsDim\", f:parse_BrtWsDim, p:16 },\n0x0097: { n:\"BrtPane\", f:parse_BrtPane },\n0x0098: { n:\"BrtSel\" },\n0x0099: { n:\"BrtWbProp\", f:parse_BrtWbProp },\n0x009A: { n:\"BrtWbFactoid\" },\n0x009B: { n:\"BrtFileRecover\" },\n0x009C: { n:\"BrtBundleSh\", f:parse_BrtBundleSh },\n0x009D: { n:\"BrtCalcProp\" },\n0x009E: { n:\"BrtBookView\" },\n0x009F: { n:\"BrtBeginSst\", f:parse_BrtBeginSst },\n0x00A0: { n:\"BrtEndSst\" },\n0x00A1: { n:\"BrtBeginAFilter\", f:parse_UncheckedRfX },\n0x00A2: { n:\"BrtEndAFilter\" },\n0x00A3: { n:\"BrtBeginFilterColumn\" },\n0x00A4: { n:\"BrtEndFilterColumn\" },\n0x00A5: { n:\"BrtBeginFilters\" },\n0x00A6: { n:\"BrtEndFilters\" },\n0x00A7: { n:\"BrtFilter\" },\n0x00A8: { n:\"BrtColorFilter\" },\n0x00A9: { n:\"BrtIconFilter\" },\n0x00AA: { n:\"BrtTop10Filter\" },\n0x00AB: { n:\"BrtDynamicFilter\" },\n0x00AC: { n:\"BrtBeginCustomFilters\" },\n0x00AD: { n:\"BrtEndCustomFilters\" },\n0x00AE: { n:\"BrtCustomFilter\" },\n0x00AF: { n:\"BrtAFilterDateGroupItem\" },\n0x00B0: { n:\"BrtMergeCell\", f:parse_BrtMergeCell },\n0x00B1: { n:\"BrtBeginMergeCells\" },\n0x00B2: { n:\"BrtEndMergeCells\" },\n0x00B3: { n:\"BrtBeginPivotCacheDef\" },\n0x00B4: { n:\"BrtEndPivotCacheDef\" },\n0x00B5: { n:\"BrtBeginPCDFields\" },\n0x00B6: { n:\"BrtEndPCDFields\" },\n0x00B7: { n:\"BrtBeginPCDField\" },\n0x00B8: { n:\"BrtEndPCDField\" },\n0x00B9: { n:\"BrtBeginPCDSource\" },\n0x00BA: { n:\"BrtEndPCDSource\" },\n0x00BB: { n:\"BrtBeginPCDSRange\" },\n0x00BC: { n:\"BrtEndPCDSRange\" },\n0x00BD: { n:\"BrtBeginPCDFAtbl\" },\n0x00BE: { n:\"BrtEndPCDFAtbl\" },\n0x00BF: { n:\"BrtBeginPCDIRun\" },\n0x00C0: { n:\"BrtEndPCDIRun\" },\n0x00C1: { n:\"BrtBeginPivotCacheRecords\" },\n0x00C2: { n:\"BrtEndPivotCacheRecords\" },\n0x00C3: { n:\"BrtBeginPCDHierarchies\" },\n0x00C4: { n:\"BrtEndPCDHierarchies\" },\n0x00C5: { n:\"BrtBeginPCDHierarchy\" },\n0x00C6: { n:\"BrtEndPCDHierarchy\" },\n0x00C7: { n:\"BrtBeginPCDHFieldsUsage\" },\n0x00C8: { n:\"BrtEndPCDHFieldsUsage\" },\n0x00C9: { n:\"BrtBeginExtConnection\" },\n0x00CA: { n:\"BrtEndExtConnection\" },\n0x00CB: { n:\"BrtBeginECDbProps\" },\n0x00CC: { n:\"BrtEndECDbProps\" },\n0x00CD: { n:\"BrtBeginECOlapProps\" },\n0x00CE: { n:\"BrtEndECOlapProps\" },\n0x00CF: { n:\"BrtBeginPCDSConsol\" },\n0x00D0: { n:\"BrtEndPCDSConsol\" },\n0x00D1: { n:\"BrtBeginPCDSCPages\" },\n0x00D2: { n:\"BrtEndPCDSCPages\" },\n0x00D3: { n:\"BrtBeginPCDSCPage\" },\n0x00D4: { n:\"BrtEndPCDSCPage\" },\n0x00D5: { n:\"BrtBeginPCDSCPItem\" },\n0x00D6: { n:\"BrtEndPCDSCPItem\" },\n0x00D7: { n:\"BrtBeginPCDSCSets\" },\n0x00D8: { n:\"BrtEndPCDSCSets\" },\n0x00D9: { n:\"BrtBeginPCDSCSet\" },\n0x00DA: { n:\"BrtEndPCDSCSet\" },\n0x00DB: { n:\"BrtBeginPCDFGroup\" },\n0x00DC: { n:\"BrtEndPCDFGroup\" },\n0x00DD: { n:\"BrtBeginPCDFGItems\" },\n0x00DE: { n:\"BrtEndPCDFGItems\" },\n0x00DF: { n:\"BrtBeginPCDFGRange\" },\n0x00E0: { n:\"BrtEndPCDFGRange\" },\n0x00E1: { n:\"BrtBeginPCDFGDiscrete\" },\n0x00E2: { n:\"BrtEndPCDFGDiscrete\" },\n0x00E3: { n:\"BrtBeginPCDSDTupleCache\" },\n0x00E4: { n:\"BrtEndPCDSDTupleCache\" },\n0x00E5: { n:\"BrtBeginPCDSDTCEntries\" },\n0x00E6: { n:\"BrtEndPCDSDTCEntries\" },\n0x00E7: { n:\"BrtBeginPCDSDTCEMembers\" },\n0x00E8: { n:\"BrtEndPCDSDTCEMembers\" },\n0x00E9: { n:\"BrtBeginPCDSDTCEMember\" },\n0x00EA: { n:\"BrtEndPCDSDTCEMember\" },\n0x00EB: { n:\"BrtBeginPCDSDTCQueries\" },\n0x00EC: { n:\"BrtEndPCDSDTCQueries\" },\n0x00ED: { n:\"BrtBeginPCDSDTCQuery\" },\n0x00EE: { n:\"BrtEndPCDSDTCQuery\" },\n0x00EF: { n:\"BrtBeginPCDSDTCSets\" },\n0x00F0: { n:\"BrtEndPCDSDTCSets\" },\n0x00F1: { n:\"BrtBeginPCDSDTCSet\" },\n0x00F2: { n:\"BrtEndPCDSDTCSet\" },\n0x00F3: { n:\"BrtBeginPCDCalcItems\" },\n0x00F4: { n:\"BrtEndPCDCalcItems\" },\n0x00F5: { n:\"BrtBeginPCDCalcItem\" },\n0x00F6: { n:\"BrtEndPCDCalcItem\" },\n0x00F7: { n:\"BrtBeginPRule\" },\n0x00F8: { n:\"BrtEndPRule\" },\n0x00F9: { n:\"BrtBeginPRFilters\" },\n0x00FA: { n:\"BrtEndPRFilters\" },\n0x00FB: { n:\"BrtBeginPRFilter\" },\n0x00FC: { n:\"BrtEndPRFilter\" },\n0x00FD: { n:\"BrtBeginPNames\" },\n0x00FE: { n:\"BrtEndPNames\" },\n0x00FF: { n:\"BrtBeginPName\" },\n0x0100: { n:\"BrtEndPName\" },\n0x0101: { n:\"BrtBeginPNPairs\" },\n0x0102: { n:\"BrtEndPNPairs\" },\n0x0103: { n:\"BrtBeginPNPair\" },\n0x0104: { n:\"BrtEndPNPair\" },\n0x0105: { n:\"BrtBeginECWebProps\" },\n0x0106: { n:\"BrtEndECWebProps\" },\n0x0107: { n:\"BrtBeginEcWpTables\" },\n0x0108: { n:\"BrtEndECWPTables\" },\n0x0109: { n:\"BrtBeginECParams\" },\n0x010A: { n:\"BrtEndECParams\" },\n0x010B: { n:\"BrtBeginECParam\" },\n0x010C: { n:\"BrtEndECParam\" },\n0x010D: { n:\"BrtBeginPCDKPIs\" },\n0x010E: { n:\"BrtEndPCDKPIs\" },\n0x010F: { n:\"BrtBeginPCDKPI\" },\n0x0110: { n:\"BrtEndPCDKPI\" },\n0x0111: { n:\"BrtBeginDims\" },\n0x0112: { n:\"BrtEndDims\" },\n0x0113: { n:\"BrtBeginDim\" },\n0x0114: { n:\"BrtEndDim\" },\n0x0115: { n:\"BrtIndexPartEnd\" },\n0x0116: { n:\"BrtBeginStyleSheet\" },\n0x0117: { n:\"BrtEndStyleSheet\" },\n0x0118: { n:\"BrtBeginSXView\" },\n0x0119: { n:\"BrtEndSXVI\" },\n0x011A: { n:\"BrtBeginSXVI\" },\n0x011B: { n:\"BrtBeginSXVIs\" },\n0x011C: { n:\"BrtEndSXVIs\" },\n0x011D: { n:\"BrtBeginSXVD\" },\n0x011E: { n:\"BrtEndSXVD\" },\n0x011F: { n:\"BrtBeginSXVDs\" },\n0x0120: { n:\"BrtEndSXVDs\" },\n0x0121: { n:\"BrtBeginSXPI\" },\n0x0122: { n:\"BrtEndSXPI\" },\n0x0123: { n:\"BrtBeginSXPIs\" },\n0x0124: { n:\"BrtEndSXPIs\" },\n0x0125: { n:\"BrtBeginSXDI\" },\n0x0126: { n:\"BrtEndSXDI\" },\n0x0127: { n:\"BrtBeginSXDIs\" },\n0x0128: { n:\"BrtEndSXDIs\" },\n0x0129: { n:\"BrtBeginSXLI\" },\n0x012A: { n:\"BrtEndSXLI\" },\n0x012B: { n:\"BrtBeginSXLIRws\" },\n0x012C: { n:\"BrtEndSXLIRws\" },\n0x012D: { n:\"BrtBeginSXLICols\" },\n0x012E: { n:\"BrtEndSXLICols\" },\n0x012F: { n:\"BrtBeginSXFormat\" },\n0x0130: { n:\"BrtEndSXFormat\" },\n0x0131: { n:\"BrtBeginSXFormats\" },\n0x0132: { n:\"BrtEndSxFormats\" },\n0x0133: { n:\"BrtBeginSxSelect\" },\n0x0134: { n:\"BrtEndSxSelect\" },\n0x0135: { n:\"BrtBeginISXVDRws\" },\n0x0136: { n:\"BrtEndISXVDRws\" },\n0x0137: { n:\"BrtBeginISXVDCols\" },\n0x0138: { n:\"BrtEndISXVDCols\" },\n0x0139: { n:\"BrtEndSXLocation\" },\n0x013A: { n:\"BrtBeginSXLocation\" },\n0x013B: { n:\"BrtEndSXView\" },\n0x013C: { n:\"BrtBeginSXTHs\" },\n0x013D: { n:\"BrtEndSXTHs\" },\n0x013E: { n:\"BrtBeginSXTH\" },\n0x013F: { n:\"BrtEndSXTH\" },\n0x0140: { n:\"BrtBeginISXTHRws\" },\n0x0141: { n:\"BrtEndISXTHRws\" },\n0x0142: { n:\"BrtBeginISXTHCols\" },\n0x0143: { n:\"BrtEndISXTHCols\" },\n0x0144: { n:\"BrtBeginSXTDMPS\" },\n0x0145: { n:\"BrtEndSXTDMPs\" },\n0x0146: { n:\"BrtBeginSXTDMP\" },\n0x0147: { n:\"BrtEndSXTDMP\" },\n0x0148: { n:\"BrtBeginSXTHItems\" },\n0x0149: { n:\"BrtEndSXTHItems\" },\n0x014A: { n:\"BrtBeginSXTHItem\" },\n0x014B: { n:\"BrtEndSXTHItem\" },\n0x014C: { n:\"BrtBeginMetadata\" },\n0x014D: { n:\"BrtEndMetadata\" },\n0x014E: { n:\"BrtBeginEsmdtinfo\" },\n0x014F: { n:\"BrtMdtinfo\" },\n0x0150: { n:\"BrtEndEsmdtinfo\" },\n0x0151: { n:\"BrtBeginEsmdb\" },\n0x0152: { n:\"BrtEndEsmdb\" },\n0x0153: { n:\"BrtBeginEsfmd\" },\n0x0154: { n:\"BrtEndEsfmd\" },\n0x0155: { n:\"BrtBeginSingleCells\" },\n0x0156: { n:\"BrtEndSingleCells\" },\n0x0157: { n:\"BrtBeginList\" },\n0x0158: { n:\"BrtEndList\" },\n0x0159: { n:\"BrtBeginListCols\" },\n0x015A: { n:\"BrtEndListCols\" },\n0x015B: { n:\"BrtBeginListCol\" },\n0x015C: { n:\"BrtEndListCol\" },\n0x015D: { n:\"BrtBeginListXmlCPr\" },\n0x015E: { n:\"BrtEndListXmlCPr\" },\n0x015F: { n:\"BrtListCCFmla\" },\n0x0160: { n:\"BrtListTrFmla\" },\n0x0161: { n:\"BrtBeginExternals\" },\n0x0162: { n:\"BrtEndExternals\" },\n0x0163: { n:\"BrtSupBookSrc\", f:parse_RelID},\n0x0165: { n:\"BrtSupSelf\" },\n0x0166: { n:\"BrtSupSame\" },\n0x0167: { n:\"BrtSupTabs\" },\n0x0168: { n:\"BrtBeginSupBook\" },\n0x0169: { n:\"BrtPlaceholderName\" },\n0x016A: { n:\"BrtExternSheet\", f:parse_ExternSheet },\n0x016B: { n:\"BrtExternTableStart\" },\n0x016C: { n:\"BrtExternTableEnd\" },\n0x016E: { n:\"BrtExternRowHdr\" },\n0x016F: { n:\"BrtExternCellBlank\" },\n0x0170: { n:\"BrtExternCellReal\" },\n0x0171: { n:\"BrtExternCellBool\" },\n0x0172: { n:\"BrtExternCellError\" },\n0x0173: { n:\"BrtExternCellString\" },\n0x0174: { n:\"BrtBeginEsmdx\" },\n0x0175: { n:\"BrtEndEsmdx\" },\n0x0176: { n:\"BrtBeginMdxSet\" },\n0x0177: { n:\"BrtEndMdxSet\" },\n0x0178: { n:\"BrtBeginMdxMbrProp\" },\n0x0179: { n:\"BrtEndMdxMbrProp\" },\n0x017A: { n:\"BrtBeginMdxKPI\" },\n0x017B: { n:\"BrtEndMdxKPI\" },\n0x017C: { n:\"BrtBeginEsstr\" },\n0x017D: { n:\"BrtEndEsstr\" },\n0x017E: { n:\"BrtBeginPRFItem\" },\n0x017F: { n:\"BrtEndPRFItem\" },\n0x0180: { n:\"BrtBeginPivotCacheIDs\" },\n0x0181: { n:\"BrtEndPivotCacheIDs\" },\n0x0182: { n:\"BrtBeginPivotCacheID\" },\n0x0183: { n:\"BrtEndPivotCacheID\" },\n0x0184: { n:\"BrtBeginISXVIs\" },\n0x0185: { n:\"BrtEndISXVIs\" },\n0x0186: { n:\"BrtBeginColInfos\" },\n0x0187: { n:\"BrtEndColInfos\" },\n0x0188: { n:\"BrtBeginRwBrk\" },\n0x0189: { n:\"BrtEndRwBrk\" },\n0x018A: { n:\"BrtBeginColBrk\" },\n0x018B: { n:\"BrtEndColBrk\" },\n0x018C: { n:\"BrtBrk\" },\n0x018D: { n:\"BrtUserBookView\" },\n0x018E: { n:\"BrtInfo\" },\n0x018F: { n:\"BrtCUsr\" },\n0x0190: { n:\"BrtUsr\" },\n0x0191: { n:\"BrtBeginUsers\" },\n0x0193: { n:\"BrtEOF\" },\n0x0194: { n:\"BrtUCR\" },\n0x0195: { n:\"BrtRRInsDel\" },\n0x0196: { n:\"BrtRREndInsDel\" },\n0x0197: { n:\"BrtRRMove\" },\n0x0198: { n:\"BrtRREndMove\" },\n0x0199: { n:\"BrtRRChgCell\" },\n0x019A: { n:\"BrtRREndChgCell\" },\n0x019B: { n:\"BrtRRHeader\" },\n0x019C: { n:\"BrtRRUserView\" },\n0x019D: { n:\"BrtRRRenSheet\" },\n0x019E: { n:\"BrtRRInsertSh\" },\n0x019F: { n:\"BrtRRDefName\" },\n0x01A0: { n:\"BrtRRNote\" },\n0x01A1: { n:\"BrtRRConflict\" },\n0x01A2: { n:\"BrtRRTQSIF\" },\n0x01A3: { n:\"BrtRRFormat\" },\n0x01A4: { n:\"BrtRREndFormat\" },\n0x01A5: { n:\"BrtRRAutoFmt\" },\n0x01A6: { n:\"BrtBeginUserShViews\" },\n0x01A7: { n:\"BrtBeginUserShView\" },\n0x01A8: { n:\"BrtEndUserShView\" },\n0x01A9: { n:\"BrtEndUserShViews\" },\n0x01AA: { n:\"BrtArrFmla\", f:parse_BrtArrFmla },\n0x01AB: { n:\"BrtShrFmla\", f:parse_BrtShrFmla },\n0x01AC: { n:\"BrtTable\" },\n0x01AD: { n:\"BrtBeginExtConnections\" },\n0x01AE: { n:\"BrtEndExtConnections\" },\n0x01AF: { n:\"BrtBeginPCDCalcMems\" },\n0x01B0: { n:\"BrtEndPCDCalcMems\" },\n0x01B1: { n:\"BrtBeginPCDCalcMem\" },\n0x01B2: { n:\"BrtEndPCDCalcMem\" },\n0x01B3: { n:\"BrtBeginPCDHGLevels\" },\n0x01B4: { n:\"BrtEndPCDHGLevels\" },\n0x01B5: { n:\"BrtBeginPCDHGLevel\" },\n0x01B6: { n:\"BrtEndPCDHGLevel\" },\n0x01B7: { n:\"BrtBeginPCDHGLGroups\" },\n0x01B8: { n:\"BrtEndPCDHGLGroups\" },\n0x01B9: { n:\"BrtBeginPCDHGLGroup\" },\n0x01BA: { n:\"BrtEndPCDHGLGroup\" },\n0x01BB: { n:\"BrtBeginPCDHGLGMembers\" },\n0x01BC: { n:\"BrtEndPCDHGLGMembers\" },\n0x01BD: { n:\"BrtBeginPCDHGLGMember\" },\n0x01BE: { n:\"BrtEndPCDHGLGMember\" },\n0x01BF: { n:\"BrtBeginQSI\" },\n0x01C0: { n:\"BrtEndQSI\" },\n0x01C1: { n:\"BrtBeginQSIR\" },\n0x01C2: { n:\"BrtEndQSIR\" },\n0x01C3: { n:\"BrtBeginDeletedNames\" },\n0x01C4: { n:\"BrtEndDeletedNames\" },\n0x01C5: { n:\"BrtBeginDeletedName\" },\n0x01C6: { n:\"BrtEndDeletedName\" },\n0x01C7: { n:\"BrtBeginQSIFs\" },\n0x01C8: { n:\"BrtEndQSIFs\" },\n0x01C9: { n:\"BrtBeginQSIF\" },\n0x01CA: { n:\"BrtEndQSIF\" },\n0x01CB: { n:\"BrtBeginAutoSortScope\" },\n0x01CC: { n:\"BrtEndAutoSortScope\" },\n0x01CD: { n:\"BrtBeginConditionalFormatting\" },\n0x01CE: { n:\"BrtEndConditionalFormatting\" },\n0x01CF: { n:\"BrtBeginCFRule\" },\n0x01D0: { n:\"BrtEndCFRule\" },\n0x01D1: { n:\"BrtBeginIconSet\" },\n0x01D2: { n:\"BrtEndIconSet\" },\n0x01D3: { n:\"BrtBeginDatabar\" },\n0x01D4: { n:\"BrtEndDatabar\" },\n0x01D5: { n:\"BrtBeginColorScale\" },\n0x01D6: { n:\"BrtEndColorScale\" },\n0x01D7: { n:\"BrtCFVO\" },\n0x01D8: { n:\"BrtExternValueMeta\" },\n0x01D9: { n:\"BrtBeginColorPalette\" },\n0x01DA: { n:\"BrtEndColorPalette\" },\n0x01DB: { n:\"BrtIndexedColor\" },\n0x01DC: { n:\"BrtMargins\", f:parse_BrtMargins },\n0x01DD: { n:\"BrtPrintOptions\" },\n0x01DE: { n:\"BrtPageSetup\" },\n0x01DF: { n:\"BrtBeginHeaderFooter\" },\n0x01E0: { n:\"BrtEndHeaderFooter\" },\n0x01E1: { n:\"BrtBeginSXCrtFormat\" },\n0x01E2: { n:\"BrtEndSXCrtFormat\" },\n0x01E3: { n:\"BrtBeginSXCrtFormats\" },\n0x01E4: { n:\"BrtEndSXCrtFormats\" },\n0x01E5: { n:\"BrtWsFmtInfo\", f:parse_BrtWsFmtInfo },\n0x01E6: { n:\"BrtBeginMgs\" },\n0x01E7: { n:\"BrtEndMGs\" },\n0x01E8: { n:\"BrtBeginMGMaps\" },\n0x01E9: { n:\"BrtEndMGMaps\" },\n0x01EA: { n:\"BrtBeginMG\" },\n0x01EB: { n:\"BrtEndMG\" },\n0x01EC: { n:\"BrtBeginMap\" },\n0x01ED: { n:\"BrtEndMap\" },\n0x01EE: { n:\"BrtHLink\", f:parse_BrtHLink },\n0x01EF: { n:\"BrtBeginDCon\" },\n0x01F0: { n:\"BrtEndDCon\" },\n0x01F1: { n:\"BrtBeginDRefs\" },\n0x01F2: { n:\"BrtEndDRefs\" },\n0x01F3: { n:\"BrtDRef\" },\n0x01F4: { n:\"BrtBeginScenMan\" },\n0x01F5: { n:\"BrtEndScenMan\" },\n0x01F6: { n:\"BrtBeginSct\" },\n0x01F7: { n:\"BrtEndSct\" },\n0x01F8: { n:\"BrtSlc\" },\n0x01F9: { n:\"BrtBeginDXFs\" },\n0x01FA: { n:\"BrtEndDXFs\" },\n0x01FB: { n:\"BrtDXF\" },\n0x01FC: { n:\"BrtBeginTableStyles\" },\n0x01FD: { n:\"BrtEndTableStyles\" },\n0x01FE: { n:\"BrtBeginTableStyle\" },\n0x01FF: { n:\"BrtEndTableStyle\" },\n0x0200: { n:\"BrtTableStyleElement\" },\n0x0201: { n:\"BrtTableStyleClient\" },\n0x0202: { n:\"BrtBeginVolDeps\" },\n0x0203: { n:\"BrtEndVolDeps\" },\n0x0204: { n:\"BrtBeginVolType\" },\n0x0205: { n:\"BrtEndVolType\" },\n0x0206: { n:\"BrtBeginVolMain\" },\n0x0207: { n:\"BrtEndVolMain\" },\n0x0208: { n:\"BrtBeginVolTopic\" },\n0x0209: { n:\"BrtEndVolTopic\" },\n0x020A: { n:\"BrtVolSubtopic\" },\n0x020B: { n:\"BrtVolRef\" },\n0x020C: { n:\"BrtVolNum\" },\n0x020D: { n:\"BrtVolErr\" },\n0x020E: { n:\"BrtVolStr\" },\n0x020F: { n:\"BrtVolBool\" },\n0x0210: { n:\"BrtBeginCalcChain$\" },\n0x0211: { n:\"BrtEndCalcChain$\" },\n0x0212: { n:\"BrtBeginSortState\" },\n0x0213: { n:\"BrtEndSortState\" },\n0x0214: { n:\"BrtBeginSortCond\" },\n0x0215: { n:\"BrtEndSortCond\" },\n0x0216: { n:\"BrtBookProtection\" },\n0x0217: { n:\"BrtSheetProtection\" },\n0x0218: { n:\"BrtRangeProtection\" },\n0x0219: { n:\"BrtPhoneticInfo\" },\n0x021A: { n:\"BrtBeginECTxtWiz\" },\n0x021B: { n:\"BrtEndECTxtWiz\" },\n0x021C: { n:\"BrtBeginECTWFldInfoLst\" },\n0x021D: { n:\"BrtEndECTWFldInfoLst\" },\n0x021E: { n:\"BrtBeginECTwFldInfo\" },\n0x0224: { n:\"BrtFileSharing\" },\n0x0225: { n:\"BrtOleSize\" },\n0x0226: { n:\"BrtDrawing\", f:parse_RelID },\n0x0227: { n:\"BrtLegacyDrawing\" },\n0x0228: { n:\"BrtLegacyDrawingHF\" },\n0x0229: { n:\"BrtWebOpt\" },\n0x022A: { n:\"BrtBeginWebPubItems\" },\n0x022B: { n:\"BrtEndWebPubItems\" },\n0x022C: { n:\"BrtBeginWebPubItem\" },\n0x022D: { n:\"BrtEndWebPubItem\" },\n0x022E: { n:\"BrtBeginSXCondFmt\" },\n0x022F: { n:\"BrtEndSXCondFmt\" },\n0x0230: { n:\"BrtBeginSXCondFmts\" },\n0x0231: { n:\"BrtEndSXCondFmts\" },\n0x0232: { n:\"BrtBkHim\" },\n0x0234: { n:\"BrtColor\" },\n0x0235: { n:\"BrtBeginIndexedColors\" },\n0x0236: { n:\"BrtEndIndexedColors\" },\n0x0239: { n:\"BrtBeginMRUColors\" },\n0x023A: { n:\"BrtEndMRUColors\" },\n0x023C: { n:\"BrtMRUColor\" },\n0x023D: { n:\"BrtBeginDVals\" },\n0x023E: { n:\"BrtEndDVals\" },\n0x0241: { n:\"BrtSupNameStart\" },\n0x0242: { n:\"BrtSupNameValueStart\" },\n0x0243: { n:\"BrtSupNameValueEnd\" },\n0x0244: { n:\"BrtSupNameNum\" },\n0x0245: { n:\"BrtSupNameErr\" },\n0x0246: { n:\"BrtSupNameSt\" },\n0x0247: { n:\"BrtSupNameNil\" },\n0x0248: { n:\"BrtSupNameBool\" },\n0x0249: { n:\"BrtSupNameFmla\" },\n0x024A: { n:\"BrtSupNameBits\" },\n0x024B: { n:\"BrtSupNameEnd\" },\n0x024C: { n:\"BrtEndSupBook\" },\n0x024D: { n:\"BrtCellSmartTagProperty\" },\n0x024E: { n:\"BrtBeginCellSmartTag\" },\n0x024F: { n:\"BrtEndCellSmartTag\" },\n0x0250: { n:\"BrtBeginCellSmartTags\" },\n0x0251: { n:\"BrtEndCellSmartTags\" },\n0x0252: { n:\"BrtBeginSmartTags\" },\n0x0253: { n:\"BrtEndSmartTags\" },\n0x0254: { n:\"BrtSmartTagType\" },\n0x0255: { n:\"BrtBeginSmartTagTypes\" },\n0x0256: { n:\"BrtEndSmartTagTypes\" },\n0x0257: { n:\"BrtBeginSXFilters\" },\n0x0258: { n:\"BrtEndSXFilters\" },\n0x0259: { n:\"BrtBeginSXFILTER\" },\n0x025A: { n:\"BrtEndSXFilter\" },\n0x025B: { n:\"BrtBeginFills\" },\n0x025C: { n:\"BrtEndFills\" },\n0x025D: { n:\"BrtBeginCellWatches\" },\n0x025E: { n:\"BrtEndCellWatches\" },\n0x025F: { n:\"BrtCellWatch\" },\n0x0260: { n:\"BrtBeginCRErrs\" },\n0x0261: { n:\"BrtEndCRErrs\" },\n0x0262: { n:\"BrtCrashRecErr\" },\n0x0263: { n:\"BrtBeginFonts\" },\n0x0264: { n:\"BrtEndFonts\" },\n0x0265: { n:\"BrtBeginBorders\" },\n0x0266: { n:\"BrtEndBorders\" },\n0x0267: { n:\"BrtBeginFmts\" },\n0x0268: { n:\"BrtEndFmts\" },\n0x0269: { n:\"BrtBeginCellXFs\" },\n0x026A: { n:\"BrtEndCellXFs\" },\n0x026B: { n:\"BrtBeginStyles\" },\n0x026C: { n:\"BrtEndStyles\" },\n0x0271: { n:\"BrtBigName\" },\n0x0272: { n:\"BrtBeginCellStyleXFs\" },\n0x0273: { n:\"BrtEndCellStyleXFs\" },\n0x0274: { n:\"BrtBeginComments\" },\n0x0275: { n:\"BrtEndComments\" },\n0x0276: { n:\"BrtBeginCommentAuthors\" },\n0x0277: { n:\"BrtEndCommentAuthors\" },\n0x0278: { n:\"BrtCommentAuthor\", f:parse_BrtCommentAuthor },\n0x0279: { n:\"BrtBeginCommentList\" },\n0x027A: { n:\"BrtEndCommentList\" },\n0x027B: { n:\"BrtBeginComment\", f:parse_BrtBeginComment},\n0x027C: { n:\"BrtEndComment\" },\n0x027D: { n:\"BrtCommentText\", f:parse_BrtCommentText },\n0x027E: { n:\"BrtBeginOleObjects\" },\n0x027F: { n:\"BrtOleObject\" },\n0x0280: { n:\"BrtEndOleObjects\" },\n0x0281: { n:\"BrtBeginSxrules\" },\n0x0282: { n:\"BrtEndSxRules\" },\n0x0283: { n:\"BrtBeginActiveXControls\" },\n0x0284: { n:\"BrtActiveX\" },\n0x0285: { n:\"BrtEndActiveXControls\" },\n0x0286: { n:\"BrtBeginPCDSDTCEMembersSortBy\" },\n0x0288: { n:\"BrtBeginCellIgnoreECs\" },\n0x0289: { n:\"BrtCellIgnoreEC\" },\n0x028A: { n:\"BrtEndCellIgnoreECs\" },\n0x028B: { n:\"BrtCsProp\", f:parse_BrtCsProp },\n0x028C: { n:\"BrtCsPageSetup\" },\n0x028D: { n:\"BrtBeginUserCsViews\" },\n0x028E: { n:\"BrtEndUserCsViews\" },\n0x028F: { n:\"BrtBeginUserCsView\" },\n0x0290: { n:\"BrtEndUserCsView\" },\n0x0291: { n:\"BrtBeginPcdSFCIEntries\" },\n0x0292: { n:\"BrtEndPCDSFCIEntries\" },\n0x0293: { n:\"BrtPCDSFCIEntry\" },\n0x0294: { n:\"BrtBeginListParts\" },\n0x0295: { n:\"BrtListPart\" },\n0x0296: { n:\"BrtEndListParts\" },\n0x0297: { n:\"BrtSheetCalcProp\" },\n0x0298: { n:\"BrtBeginFnGroup\" },\n0x0299: { n:\"BrtFnGroup\" },\n0x029A: { n:\"BrtEndFnGroup\" },\n0x029B: { n:\"BrtSupAddin\" },\n0x029C: { n:\"BrtSXTDMPOrder\" },\n0x029D: { n:\"BrtCsProtection\" },\n0x029F: { n:\"BrtBeginWsSortMap\" },\n0x02A0: { n:\"BrtEndWsSortMap\" },\n0x02A1: { n:\"BrtBeginRRSort\" },\n0x02A2: { n:\"BrtEndRRSort\" },\n0x02A3: { n:\"BrtRRSortItem\" },\n0x02A4: { n:\"BrtFileSharingIso\" },\n0x02A5: { n:\"BrtBookProtectionIso\" },\n0x02A6: { n:\"BrtSheetProtectionIso\" },\n0x02A7: { n:\"BrtCsProtectionIso\" },\n0x02A8: { n:\"BrtRangeProtectionIso\" },\n0x02A9: { n:\"BrtDValList\" },\n0x0400: { n:\"BrtRwDescent\" },\n0x0401: { n:\"BrtKnownFonts\" },\n0x0402: { n:\"BrtBeginSXTupleSet\" },\n0x0403: { n:\"BrtEndSXTupleSet\" },\n0x0404: { n:\"BrtBeginSXTupleSetHeader\" },\n0x0405: { n:\"BrtEndSXTupleSetHeader\" },\n0x0406: { n:\"BrtSXTupleSetHeaderItem\" },\n0x0407: { n:\"BrtBeginSXTupleSetData\" },\n0x0408: { n:\"BrtEndSXTupleSetData\" },\n0x0409: { n:\"BrtBeginSXTupleSetRow\" },\n0x040A: { n:\"BrtEndSXTupleSetRow\" },\n0x040B: { n:\"BrtSXTupleSetRowItem\" },\n0x040C: { n:\"BrtNameExt\" },\n0x040D: { n:\"BrtPCDH14\" },\n0x040E: { n:\"BrtBeginPCDCalcMem14\" },\n0x040F: { n:\"BrtEndPCDCalcMem14\" },\n0x0410: { n:\"BrtSXTH14\" },\n0x0411: { n:\"BrtBeginSparklineGroup\" },\n0x0412: { n:\"BrtEndSparklineGroup\" },\n0x0413: { n:\"BrtSparkline\" },\n0x0414: { n:\"BrtSXDI14\" },\n0x0415: { n:\"BrtWsFmtInfoEx14\" },\n0x0416: { n:\"BrtBeginConditionalFormatting14\" },\n0x0417: { n:\"BrtEndConditionalFormatting14\" },\n0x0418: { n:\"BrtBeginCFRule14\" },\n0x0419: { n:\"BrtEndCFRule14\" },\n0x041A: { n:\"BrtCFVO14\" },\n0x041B: { n:\"BrtBeginDatabar14\" },\n0x041C: { n:\"BrtBeginIconSet14\" },\n0x041D: { n:\"BrtDVal14\", f: parse_BrtDVal14 },\n0x041E: { n:\"BrtBeginDVals14\" },\n0x041F: { n:\"BrtColor14\" },\n0x0420: { n:\"BrtBeginSparklines\" },\n0x0421: { n:\"BrtEndSparklines\" },\n0x0422: { n:\"BrtBeginSparklineGroups\" },\n0x0423: { n:\"BrtEndSparklineGroups\" },\n0x0425: { n:\"BrtSXVD14\" },\n0x0426: { n:\"BrtBeginSXView14\" },\n0x0427: { n:\"BrtEndSXView14\" },\n0x0428: { n:\"BrtBeginSXView16\" },\n0x0429: { n:\"BrtEndSXView16\" },\n0x042A: { n:\"BrtBeginPCD14\" },\n0x042B: { n:\"BrtEndPCD14\" },\n0x042C: { n:\"BrtBeginExtConn14\" },\n0x042D: { n:\"BrtEndExtConn14\" },\n0x042E: { n:\"BrtBeginSlicerCacheIDs\" },\n0x042F: { n:\"BrtEndSlicerCacheIDs\" },\n0x0430: { n:\"BrtBeginSlicerCacheID\" },\n0x0431: { n:\"BrtEndSlicerCacheID\" },\n0x0433: { n:\"BrtBeginSlicerCache\" },\n0x0434: { n:\"BrtEndSlicerCache\" },\n0x0435: { n:\"BrtBeginSlicerCacheDef\" },\n0x0436: { n:\"BrtEndSlicerCacheDef\" },\n0x0437: { n:\"BrtBeginSlicersEx\" },\n0x0438: { n:\"BrtEndSlicersEx\" },\n0x0439: { n:\"BrtBeginSlicerEx\" },\n0x043A: { n:\"BrtEndSlicerEx\" },\n0x043B: { n:\"BrtBeginSlicer\" },\n0x043C: { n:\"BrtEndSlicer\" },\n0x043D: { n:\"BrtSlicerCachePivotTables\" },\n0x043E: { n:\"BrtBeginSlicerCacheOlapImpl\" },\n0x043F: { n:\"BrtEndSlicerCacheOlapImpl\" },\n0x0440: { n:\"BrtBeginSlicerCacheLevelsData\" },\n0x0441: { n:\"BrtEndSlicerCacheLevelsData\" },\n0x0442: { n:\"BrtBeginSlicerCacheLevelData\" },\n0x0443: { n:\"BrtEndSlicerCacheLevelData\" },\n0x0444: { n:\"BrtBeginSlicerCacheSiRanges\" },\n0x0445: { n:\"BrtEndSlicerCacheSiRanges\" },\n0x0446: { n:\"BrtBeginSlicerCacheSiRange\" },\n0x0447: { n:\"BrtEndSlicerCacheSiRange\" },\n0x0448: { n:\"BrtSlicerCacheOlapItem\" },\n0x0449: { n:\"BrtBeginSlicerCacheSelections\" },\n0x044A: { n:\"BrtSlicerCacheSelection\" },\n0x044B: { n:\"BrtEndSlicerCacheSelections\" },\n0x044C: { n:\"BrtBeginSlicerCacheNative\" },\n0x044D: { n:\"BrtEndSlicerCacheNative\" },\n0x044E: { n:\"BrtSlicerCacheNativeItem\" },\n0x044F: { n:\"BrtRangeProtection14\" },\n0x0450: { n:\"BrtRangeProtectionIso14\" },\n0x0451: { n:\"BrtCellIgnoreEC14\" },\n0x0457: { n:\"BrtList14\" },\n0x0458: { n:\"BrtCFIcon\" },\n0x0459: { n:\"BrtBeginSlicerCachesPivotCacheIDs\" },\n0x045A: { n:\"BrtEndSlicerCachesPivotCacheIDs\" },\n0x045B: { n:\"BrtBeginSlicers\" },\n0x045C: { n:\"BrtEndSlicers\" },\n0x045D: { n:\"BrtWbProp14\" },\n0x045E: { n:\"BrtBeginSXEdit\" },\n0x045F: { n:\"BrtEndSXEdit\" },\n0x0460: { n:\"BrtBeginSXEdits\" },\n0x0461: { n:\"BrtEndSXEdits\" },\n0x0462: { n:\"BrtBeginSXChange\" },\n0x0463: { n:\"BrtEndSXChange\" },\n0x0464: { n:\"BrtBeginSXChanges\" },\n0x0465: { n:\"BrtEndSXChanges\" },\n0x0466: { n:\"BrtSXTupleItems\" },\n0x0468: { n:\"BrtBeginSlicerStyle\" },\n0x0469: { n:\"BrtEndSlicerStyle\" },\n0x046A: { n:\"BrtSlicerStyleElement\" },\n0x046B: { n:\"BrtBeginStyleSheetExt14\" },\n0x046C: { n:\"BrtEndStyleSheetExt14\" },\n0x046D: { n:\"BrtBeginSlicerCachesPivotCacheID\" },\n0x046E: { n:\"BrtEndSlicerCachesPivotCacheID\" },\n0x046F: { n:\"BrtBeginConditionalFormattings\" },\n0x0470: { n:\"BrtEndConditionalFormattings\" },\n0x0471: { n:\"BrtBeginPCDCalcMemExt\" },\n0x0472: { n:\"BrtEndPCDCalcMemExt\" },\n0x0473: { n:\"BrtBeginPCDCalcMemsExt\" },\n0x0474: { n:\"BrtEndPCDCalcMemsExt\" },\n0x0475: { n:\"BrtPCDField14\" },\n0x0476: { n:\"BrtBeginSlicerStyles\" },\n0x0477: { n:\"BrtEndSlicerStyles\" },\n0x0478: { n:\"BrtBeginSlicerStyleElements\" },\n0x0479: { n:\"BrtEndSlicerStyleElements\" },\n0x047A: { n:\"BrtCFRuleExt\" },\n0x047B: { n:\"BrtBeginSXCondFmt14\" },\n0x047C: { n:\"BrtEndSXCondFmt14\" },\n0x047D: { n:\"BrtBeginSXCondFmts14\" },\n0x047E: { n:\"BrtEndSXCondFmts14\" },\n0x0480: { n:\"BrtBeginSortCond14\" },\n0x0481: { n:\"BrtEndSortCond14\" },\n0x0482: { n:\"BrtEndDVals14\" },\n0x0483: { n:\"BrtEndIconSet14\" },\n0x0484: { n:\"BrtEndDatabar14\" },\n0x0485: { n:\"BrtBeginColorScale14\" },\n0x0486: { n:\"BrtEndColorScale14\" },\n0x0487: { n:\"BrtBeginSxrules14\" },\n0x0488: { n:\"BrtEndSxrules14\" },\n0x0489: { n:\"BrtBeginPRule14\" },\n0x048A: { n:\"BrtEndPRule14\" },\n0x048B: { n:\"BrtBeginPRFilters14\" },\n0x048C: { n:\"BrtEndPRFilters14\" },\n0x048D: { n:\"BrtBeginPRFilter14\" },\n0x048E: { n:\"BrtEndPRFilter14\" },\n0x048F: { n:\"BrtBeginPRFItem14\" },\n0x0490: { n:\"BrtEndPRFItem14\" },\n0x0491: { n:\"BrtBeginCellIgnoreECs14\" },\n0x0492: { n:\"BrtEndCellIgnoreECs14\" },\n0x0493: { n:\"BrtDxf14\" },\n0x0494: { n:\"BrtBeginDxF14s\" },\n0x0495: { n:\"BrtEndDxf14s\" },\n0x0499: { n:\"BrtFilter14\" },\n0x049A: { n:\"BrtBeginCustomFilters14\" },\n0x049C: { n:\"BrtCustomFilter14\" },\n0x049D: { n:\"BrtIconFilter14\" },\n0x049E: { n:\"BrtPivotCacheConnectionName\" },\n0x0800: { n:\"BrtBeginDecoupledPivotCacheIDs\" },\n0x0801: { n:\"BrtEndDecoupledPivotCacheIDs\" },\n0x0802: { n:\"BrtDecoupledPivotCacheID\" },\n0x0803: { n:\"BrtBeginPivotTableRefs\" },\n0x0804: { n:\"BrtEndPivotTableRefs\" },\n0x0805: { n:\"BrtPivotTableRef\" },\n0x0806: { n:\"BrtSlicerCacheBookPivotTables\" },\n0x0807: { n:\"BrtBeginSxvcells\" },\n0x0808: { n:\"BrtEndSxvcells\" },\n0x0809: { n:\"BrtBeginSxRow\" },\n0x080A: { n:\"BrtEndSxRow\" },\n0x080C: { n:\"BrtPcdCalcMem15\" },\n0x0813: { n:\"BrtQsi15\" },\n0x0814: { n:\"BrtBeginWebExtensions\" },\n0x0815: { n:\"BrtEndWebExtensions\" },\n0x0816: { n:\"BrtWebExtension\" },\n0x0817: { n:\"BrtAbsPath15\" },\n0x0818: { n:\"BrtBeginPivotTableUISettings\" },\n0x0819: { n:\"BrtEndPivotTableUISettings\" },\n0x081B: { n:\"BrtTableSlicerCacheIDs\" },\n0x081C: { n:\"BrtTableSlicerCacheID\" },\n0x081D: { n:\"BrtBeginTableSlicerCache\" },\n0x081E: { n:\"BrtEndTableSlicerCache\" },\n0x081F: { n:\"BrtSxFilter15\" },\n0x0820: { n:\"BrtBeginTimelineCachePivotCacheIDs\" },\n0x0821: { n:\"BrtEndTimelineCachePivotCacheIDs\" },\n0x0822: { n:\"BrtTimelineCachePivotCacheID\" },\n0x0823: { n:\"BrtBeginTimelineCacheIDs\" },\n0x0824: { n:\"BrtEndTimelineCacheIDs\" },\n0x0825: { n:\"BrtBeginTimelineCacheID\" },\n0x0826: { n:\"BrtEndTimelineCacheID\" },\n0x0827: { n:\"BrtBeginTimelinesEx\" },\n0x0828: { n:\"BrtEndTimelinesEx\" },\n0x0829: { n:\"BrtBeginTimelineEx\" },\n0x082A: { n:\"BrtEndTimelineEx\" },\n0x082B: { n:\"BrtWorkBookPr15\" },\n0x082C: { n:\"BrtPCDH15\" },\n0x082D: { n:\"BrtBeginTimelineStyle\" },\n0x082E: { n:\"BrtEndTimelineStyle\" },\n0x082F: { n:\"BrtTimelineStyleElement\" },\n0x0830: { n:\"BrtBeginTimelineStylesheetExt15\" },\n0x0831: { n:\"BrtEndTimelineStylesheetExt15\" },\n0x0832: { n:\"BrtBeginTimelineStyles\" },\n0x0833: { n:\"BrtEndTimelineStyles\" },\n0x0834: { n:\"BrtBeginTimelineStyleElements\" },\n0x0835: { n:\"BrtEndTimelineStyleElements\" },\n0x0836: { n:\"BrtDxf15\" },\n0x0837: { n:\"BrtBeginDxfs15\" },\n0x0838: { n:\"brtEndDxfs15\" },\n0x0839: { n:\"BrtSlicerCacheHideItemsWithNoData\" },\n0x083A: { n:\"BrtBeginItemUniqueNames\" },\n0x083B: { n:\"BrtEndItemUniqueNames\" },\n0x083C: { n:\"BrtItemUniqueName\" },\n0x083D: { n:\"BrtBeginExtConn15\" },\n0x083E: { n:\"BrtEndExtConn15\" },\n0x083F: { n:\"BrtBeginOledbPr15\" },\n0x0840: { n:\"BrtEndOledbPr15\" },\n0x0841: { n:\"BrtBeginDataFeedPr15\" },\n0x0842: { n:\"BrtEndDataFeedPr15\" },\n0x0843: { n:\"BrtTextPr15\" },\n0x0844: { n:\"BrtRangePr15\" },\n0x0845: { n:\"BrtDbCommand15\" },\n0x0846: { n:\"BrtBeginDbTables15\" },\n0x0847: { n:\"BrtEndDbTables15\" },\n0x0848: { n:\"BrtDbTable15\" },\n0x0849: { n:\"BrtBeginDataModel\" },\n0x084A: { n:\"BrtEndDataModel\" },\n0x084B: { n:\"BrtBeginModelTables\" },\n0x084C: { n:\"BrtEndModelTables\" },\n0x084D: { n:\"BrtModelTable\" },\n0x084E: { n:\"BrtBeginModelRelationships\" },\n0x084F: { n:\"BrtEndModelRelationships\" },\n0x0850: { n:\"BrtModelRelationship\" },\n0x0851: { n:\"BrtBeginECTxtWiz15\" },\n0x0852: { n:\"BrtEndECTxtWiz15\" },\n0x0853: { n:\"BrtBeginECTWFldInfoLst15\" },\n0x0854: { n:\"BrtEndECTWFldInfoLst15\" },\n0x0855: { n:\"BrtBeginECTWFldInfo15\" },\n0x0856: { n:\"BrtFieldListActiveItem\" },\n0x0857: { n:\"BrtPivotCacheIdVersion\" },\n0x0858: { n:\"BrtSXDI15\" },\n0x0859: { n:\"BrtBeginModelTimeGroupings\" },\n0x085A: { n:\"BrtEndModelTimeGroupings\" },\n0x085B: { n:\"BrtBeginModelTimeGrouping\" },\n0x085C: { n:\"BrtEndModelTimeGrouping\" },\n0x085D: { n:\"BrtModelTimeGroupingCalcCol\" },\n0x0C00: { n:\"BrtUid\" },\n0x0C01: { n:\"BrtRevisionPtr\" },\n0x13e7: { n:\"BrtBeginCalcFeatures\" },\n0x13e8: { n:\"BrtEndCalcFeatures\" },\n0x13e9: { n:\"BrtCalcFeature\" },\n0xFFFF: { n:\"\" }\n};\n\nvar XLSBRE = evert_key(XLSBRecordEnum, 'n');\n\n/* [MS-XLS] 2.3 Record Enumeration */\nvar XLSRecordEnum = {\n0x0003: { n:\"BIFF2NUM\", f:parse_BIFF2NUM },\n0x0004: { n:\"BIFF2STR\", f:parse_BIFF2STR },\n0x0006: { n:\"Formula\", f:parse_Formula },\n0x0009: { n:'BOF', f:parse_BOF },\n0x000a: { n:'EOF', f:parsenoop2 },\n0x000c: { n:\"CalcCount\", f:parseuint16 },\n0x000d: { n:\"CalcMode\", f:parseuint16 },\n0x000e: { n:\"CalcPrecision\", f:parsebool },\n0x000f: { n:\"CalcRefMode\", f:parsebool },\n0x0010: { n:\"CalcDelta\", f:parse_Xnum },\n0x0011: { n:\"CalcIter\", f:parsebool },\n0x0012: { n:\"Protect\", f:parsebool },\n0x0013: { n:\"Password\", f:parseuint16 },\n0x0014: { n:\"Header\", f:parse_XLHeaderFooter },\n0x0015: { n:\"Footer\", f:parse_XLHeaderFooter },\n0x0017: { n:\"ExternSheet\", f:parse_ExternSheet },\n0x0018: { n:\"Lbl\", f:parse_Lbl },\n0x0019: { n:\"WinProtect\", f:parsebool },\n0x001a: { n:\"VerticalPageBreaks\" },\n0x001b: { n:\"HorizontalPageBreaks\" },\n0x001c: { n:\"Note\", f:parse_Note },\n0x001d: { n:\"Selection\" },\n0x0022: { n:\"Date1904\", f:parsebool },\n0x0023: { n:\"ExternName\", f:parse_ExternName },\n0x0024: { n:\"COLWIDTH\" },\n0x0026: { n:\"LeftMargin\", f:parse_Xnum },\n0x0027: { n:\"RightMargin\", f:parse_Xnum },\n0x0028: { n:\"TopMargin\", f:parse_Xnum },\n0x0029: { n:\"BottomMargin\", f:parse_Xnum },\n0x002a: { n:\"PrintRowCol\", f:parsebool },\n0x002b: { n:\"PrintGrid\", f:parsebool },\n0x002f: { n:\"FilePass\", f:parse_FilePass },\n0x0031: { n:\"Font\", f:parse_Font },\n0x0033: { n:\"PrintSize\", f:parseuint16 },\n0x003c: { n:\"Continue\" },\n0x003d: { n:\"Window1\", f:parse_Window1 },\n0x0040: { n:\"Backup\", f:parsebool },\n0x0041: { n:\"Pane\", f:parse_Pane },\n0x0042: { n:'CodePage', f:parseuint16 },\n0x004d: { n:\"Pls\" },\n0x0050: { n:\"DCon\" },\n0x0051: { n:\"DConRef\" },\n0x0052: { n:\"DConName\" },\n0x0055: { n:\"DefColWidth\", f:parseuint16 },\n0x0059: { n:\"XCT\" },\n0x005a: { n:\"CRN\" },\n0x005b: { n:\"FileSharing\" },\n0x005c: { n:'WriteAccess', f:parse_WriteAccess },\n0x005d: { n:\"Obj\", f:parse_Obj },\n0x005e: { n:\"Uncalced\" },\n0x005f: { n:\"CalcSaveRecalc\", f:parsebool },\n0x0060: { n:\"Template\" },\n0x0061: { n:\"Intl\" },\n0x0063: { n:\"ObjProtect\", f:parsebool },\n0x007d: { n:\"ColInfo\", f:parse_ColInfo },\n0x0080: { n:\"Guts\", f:parse_Guts },\n0x0081: { n:\"WsBool\", f:parse_WsBool },\n0x0082: { n:\"GridSet\", f:parseuint16 },\n0x0083: { n:\"HCenter\", f:parsebool },\n0x0084: { n:\"VCenter\", f:parsebool },\n0x0085: { n:'BoundSheet8', f:parse_BoundSheet8 },\n0x0086: { n:\"WriteProtect\" },\n0x008c: { n:\"Country\", f:parse_Country },\n0x008d: { n:\"HideObj\", f:parseuint16 },\n0x0090: { n:\"Sort\" },\n0x0092: { n:\"Palette\", f:parse_Palette },\n0x0097: { n:\"Sync\" },\n0x0098: { n:\"LPr\" },\n0x0099: { n:\"DxGCol\" },\n0x009a: { n:\"FnGroupName\" },\n0x009b: { n:\"FilterMode\" },\n0x009c: { n:\"BuiltInFnGroupCount\", f:parseuint16 },\n0x009d: { n:\"AutoFilterInfo\" },\n0x009e: { n:\"AutoFilter\" },\n0x00a0: { n:\"Scl\", f:parse_Scl },\n0x00a1: { n:\"Setup\", f:parse_Setup },\n0x00ae: { n:\"ScenMan\" },\n0x00af: { n:\"SCENARIO\" },\n0x00b0: { n:\"SxView\" },\n0x00b1: { n:\"Sxvd\" },\n0x00b2: { n:\"SXVI\" },\n0x00b4: { n:\"SxIvd\" },\n0x00b5: { n:\"SXLI\" },\n0x00b6: { n:\"SXPI\" },\n0x00b8: { n:\"DocRoute\" },\n0x00b9: { n:\"RecipName\" },\n0x00bd: { n:\"MulRk\", f:parse_MulRk },\n0x00be: { n:\"MulBlank\", f:parse_MulBlank },\n0x00c1: { n:'Mms', f:parsenoop2 },\n0x00c5: { n:\"SXDI\" },\n0x00c6: { n:\"SXDB\" },\n0x00c7: { n:\"SXFDB\" },\n0x00c8: { n:\"SXDBB\" },\n0x00c9: { n:\"SXNum\" },\n0x00ca: { n:\"SxBool\", f:parsebool },\n0x00cb: { n:\"SxErr\" },\n0x00cc: { n:\"SXInt\" },\n0x00cd: { n:\"SXString\" },\n0x00ce: { n:\"SXDtr\" },\n0x00cf: { n:\"SxNil\" },\n0x00d0: { n:\"SXTbl\" },\n0x00d1: { n:\"SXTBRGIITM\" },\n0x00d2: { n:\"SxTbpg\" },\n0x00d3: { n:\"ObProj\" },\n0x00d5: { n:\"SXStreamID\" },\n0x00d7: { n:\"DBCell\" },\n0x00d8: { n:\"SXRng\" },\n0x00d9: { n:\"SxIsxoper\" },\n0x00da: { n:\"BookBool\", f:parseuint16 },\n0x00dc: { n:\"DbOrParamQry\" },\n0x00dd: { n:\"ScenarioProtect\", f:parsebool },\n0x00de: { n:\"OleObjectSize\" },\n0x00e0: { n:\"XF\", f:parse_XF },\n0x00e1: { n:'InterfaceHdr', f:parse_InterfaceHdr },\n0x00e2: { n:'InterfaceEnd', f:parsenoop2 },\n0x00e3: { n:\"SXVS\" },\n0x00e5: { n:\"MergeCells\", f:parse_MergeCells },\n0x00e9: { n:\"BkHim\" },\n0x00eb: { n:\"MsoDrawingGroup\" },\n0x00ec: { n:\"MsoDrawing\" },\n0x00ed: { n:\"MsoDrawingSelection\" },\n0x00ef: { n:\"PhoneticInfo\" },\n0x00f0: { n:\"SxRule\" },\n0x00f1: { n:\"SXEx\" },\n0x00f2: { n:\"SxFilt\" },\n0x00f4: { n:\"SxDXF\" },\n0x00f5: { n:\"SxItm\" },\n0x00f6: { n:\"SxName\" },\n0x00f7: { n:\"SxSelect\" },\n0x00f8: { n:\"SXPair\" },\n0x00f9: { n:\"SxFmla\" },\n0x00fb: { n:\"SxFormat\" },\n0x00fc: { n:\"SST\", f:parse_SST },\n0x00fd: { n:\"LabelSst\", f:parse_LabelSst },\n0x00ff: { n:\"ExtSST\", f:parse_ExtSST },\n0x0100: { n:\"SXVDEx\" },\n0x0103: { n:\"SXFormula\" },\n0x0122: { n:\"SXDBEx\" },\n0x0137: { n:\"RRDInsDel\" },\n0x0138: { n:\"RRDHead\" },\n0x013b: { n:\"RRDChgCell\" },\n0x013d: { n:\"RRTabId\", f:parseuint16a },\n0x013e: { n:\"RRDRenSheet\" },\n0x013f: { n:\"RRSort\" },\n0x0140: { n:\"RRDMove\" },\n0x014a: { n:\"RRFormat\" },\n0x014b: { n:\"RRAutoFmt\" },\n0x014d: { n:\"RRInsertSh\" },\n0x014e: { n:\"RRDMoveBegin\" },\n0x014f: { n:\"RRDMoveEnd\" },\n0x0150: { n:\"RRDInsDelBegin\" },\n0x0151: { n:\"RRDInsDelEnd\" },\n0x0152: { n:\"RRDConflict\" },\n0x0153: { n:\"RRDDefName\" },\n0x0154: { n:\"RRDRstEtxp\" },\n0x015f: { n:\"LRng\" },\n0x0160: { n:\"UsesELFs\", f:parsebool },\n0x0161: { n:\"DSF\", f:parsenoop2 },\n0x0191: { n:\"CUsr\" },\n0x0192: { n:\"CbUsr\" },\n0x0193: { n:\"UsrInfo\" },\n0x0194: { n:\"UsrExcl\" },\n0x0195: { n:\"FileLock\" },\n0x0196: { n:\"RRDInfo\" },\n0x0197: { n:\"BCUsrs\" },\n0x0198: { n:\"UsrChk\" },\n0x01a9: { n:\"UserBView\" },\n0x01aa: { n:\"UserSViewBegin\" },\n0x01ab: { n:\"UserSViewEnd\" },\n0x01ac: { n:\"RRDUserView\" },\n0x01ad: { n:\"Qsi\" },\n0x01ae: { n:\"SupBook\", f:parse_SupBook },\n0x01af: { n:\"Prot4Rev\", f:parsebool },\n0x01b0: { n:\"CondFmt\" },\n0x01b1: { n:\"CF\" },\n0x01b2: { n:\"DVal\" },\n0x01b5: { n:\"DConBin\" },\n0x01b6: { n:\"TxO\", f:parse_TxO },\n0x01b7: { n:\"RefreshAll\", f:parsebool },\n0x01b8: { n:\"HLink\", f:parse_HLink },\n0x01b9: { n:\"Lel\" },\n0x01ba: { n:\"CodeName\", f:parse_XLUnicodeString },\n0x01bb: { n:\"SXFDBType\" },\n0x01bc: { n:\"Prot4RevPass\", f:parseuint16 },\n0x01bd: { n:\"ObNoMacros\" },\n0x01be: { n:\"Dv\" },\n0x01c0: { n:\"Excel9File\", f:parsenoop2 },\n0x01c1: { n:\"RecalcId\", f:parse_RecalcId, r:2},\n0x01c2: { n:\"EntExU2\", f:parsenoop2 },\n0x0200: { n:\"Dimensions\", f:parse_Dimensions },\n0x0201: { n:\"Blank\", f:parse_Blank },\n0x0203: { n:\"Number\", f:parse_Number },\n0x0204: { n:\"Label\", f:parse_Label },\n0x0205: { n:\"BoolErr\", f:parse_BoolErr },\n0x0206: { n:\"Formula\", f:parse_Formula },\n0x0207: { n:\"String\", f:parse_String },\n0x0208: { n:'Row', f:parse_Row },\n0x020b: { n:\"Index\" },\n0x0221: { n:\"Array\", f:parse_Array },\n0x0225: { n:\"DefaultRowHeight\", f:parse_DefaultRowHeight },\n0x0236: { n:\"Table\" },\n0x023e: { n:\"Window2\", f:parse_Window2 },\n0x027e: { n:\"RK\", f:parse_RK },\n0x0293: { n:\"Style\" },\n0x0406: { n:\"Formula\", f:parse_Formula },\n0x0418: { n:\"BigName\" },\n0x041e: { n:\"Format\", f:parse_Format },\n0x043c: { n:\"ContinueBigName\" },\n0x04bc: { n:\"ShrFmla\", f:parse_ShrFmla },\n0x0800: { n:\"HLinkTooltip\", f:parse_HLinkTooltip },\n0x0801: { n:\"WebPub\" },\n0x0802: { n:\"QsiSXTag\" },\n0x0803: { n:\"DBQueryExt\" },\n0x0804: { n:\"ExtString\" },\n0x0805: { n:\"TxtQry\" },\n0x0806: { n:\"Qsir\" },\n0x0807: { n:\"Qsif\" },\n0x0808: { n:\"RRDTQSIF\" },\n0x0809: { n:'BOF', f:parse_BOF },\n0x080a: { n:\"OleDbConn\" },\n0x080b: { n:\"WOpt\" },\n0x080c: { n:\"SXViewEx\" },\n0x080d: { n:\"SXTH\" },\n0x080e: { n:\"SXPIEx\" },\n0x080f: { n:\"SXVDTEx\" },\n0x0810: { n:\"SXViewEx9\" },\n0x0812: { n:\"ContinueFrt\" },\n0x0813: { n:\"RealTimeData\" },\n0x0850: { n:\"ChartFrtInfo\" },\n0x0851: { n:\"FrtWrapper\" },\n0x0852: { n:\"StartBlock\" },\n0x0853: { n:\"EndBlock\" },\n0x0854: { n:\"StartObject\" },\n0x0855: { n:\"EndObject\" },\n0x0856: { n:\"CatLab\" },\n0x0857: { n:\"YMult\" },\n0x0858: { n:\"SXViewLink\" },\n0x0859: { n:\"PivotChartBits\" },\n0x085a: { n:\"FrtFontList\" },\n0x0862: { n:\"SheetExt\" },\n0x0863: { n:\"BookExt\", r:12},\n0x0864: { n:\"SXAddl\" },\n0x0865: { n:\"CrErr\" },\n0x0866: { n:\"HFPicture\" },\n0x0867: { n:'FeatHdr', f:parsenoop2 },\n0x0868: { n:\"Feat\" },\n0x086a: { n:\"DataLabExt\" },\n0x086b: { n:\"DataLabExtContents\" },\n0x086c: { n:\"CellWatch\" },\n0x0871: { n:\"FeatHdr11\" },\n0x0872: { n:\"Feature11\" },\n0x0874: { n:\"DropDownObjIds\" },\n0x0875: { n:\"ContinueFrt11\" },\n0x0876: { n:\"DConn\" },\n0x0877: { n:\"List12\" },\n0x0878: { n:\"Feature12\" },\n0x0879: { n:\"CondFmt12\" },\n0x087a: { n:\"CF12\" },\n0x087b: { n:\"CFEx\" },\n0x087c: { n:\"XFCRC\", f:parse_XFCRC, r:12 },\n0x087d: { n:\"XFExt\", f:parse_XFExt, r:12 },\n0x087e: { n:\"AutoFilter12\" },\n0x087f: { n:\"ContinueFrt12\" },\n0x0884: { n:\"MDTInfo\" },\n0x0885: { n:\"MDXStr\" },\n0x0886: { n:\"MDXTuple\" },\n0x0887: { n:\"MDXSet\" },\n0x0888: { n:\"MDXProp\" },\n0x0889: { n:\"MDXKPI\" },\n0x088a: { n:\"MDB\" },\n0x088b: { n:\"PLV\" },\n0x088c: { n:\"Compat12\", f:parsebool, r:12 },\n0x088d: { n:\"DXF\" },\n0x088e: { n:\"TableStyles\", r:12 },\n0x088f: { n:\"TableStyle\" },\n0x0890: { n:\"TableStyleElement\" },\n0x0892: { n:\"StyleExt\" },\n0x0893: { n:\"NamePublish\" },\n0x0894: { n:\"NameCmt\", f:parse_NameCmt, r:12 },\n0x0895: { n:\"SortData\" },\n0x0896: { n:\"Theme\", f:parse_Theme, r:12 },\n0x0897: { n:\"GUIDTypeLib\" },\n0x0898: { n:\"FnGrp12\" },\n0x0899: { n:\"NameFnGrp12\" },\n0x089a: { n:\"MTRSettings\", f:parse_MTRSettings, r:12 },\n0x089b: { n:\"CompressPictures\", f:parsenoop2 },\n0x089c: { n:\"HeaderFooter\" },\n0x089d: { n:\"CrtLayout12\" },\n0x089e: { n:\"CrtMlFrt\" },\n0x089f: { n:\"CrtMlFrtContinue\" },\n0x08a3: { n:\"ForceFullCalculation\", f:parse_ForceFullCalculation },\n0x08a4: { n:\"ShapePropsStream\" },\n0x08a5: { n:\"TextPropsStream\" },\n0x08a6: { n:\"RichTextStream\" },\n0x08a7: { n:\"CrtLayout12A\" },\n0x1001: { n:\"Units\" },\n0x1002: { n:\"Chart\" },\n0x1003: { n:\"Series\" },\n0x1006: { n:\"DataFormat\" },\n0x1007: { n:\"LineFormat\" },\n0x1009: { n:\"MarkerFormat\" },\n0x100a: { n:\"AreaFormat\" },\n0x100b: { n:\"PieFormat\" },\n0x100c: { n:\"AttachedLabel\" },\n0x100d: { n:\"SeriesText\" },\n0x1014: { n:\"ChartFormat\" },\n0x1015: { n:\"Legend\" },\n0x1016: { n:\"SeriesList\" },\n0x1017: { n:\"Bar\" },\n0x1018: { n:\"Line\" },\n0x1019: { n:\"Pie\" },\n0x101a: { n:\"Area\" },\n0x101b: { n:\"Scatter\" },\n0x101c: { n:\"CrtLine\" },\n0x101d: { n:\"Axis\" },\n0x101e: { n:\"Tick\" },\n0x101f: { n:\"ValueRange\" },\n0x1020: { n:\"CatSerRange\" },\n0x1021: { n:\"AxisLine\" },\n0x1022: { n:\"CrtLink\" },\n0x1024: { n:\"DefaultText\" },\n0x1025: { n:\"Text\" },\n0x1026: { n:\"FontX\", f:parseuint16 },\n0x1027: { n:\"ObjectLink\" },\n0x1032: { n:\"Frame\" },\n0x1033: { n:\"Begin\" },\n0x1034: { n:\"End\" },\n0x1035: { n:\"PlotArea\" },\n0x103a: { n:\"Chart3d\" },\n0x103c: { n:\"PicF\" },\n0x103d: { n:\"DropBar\" },\n0x103e: { n:\"Radar\" },\n0x103f: { n:\"Surf\" },\n0x1040: { n:\"RadarArea\" },\n0x1041: { n:\"AxisParent\" },\n0x1043: { n:\"LegendException\" },\n0x1044: { n:\"ShtProps\", f:parse_ShtProps },\n0x1045: { n:\"SerToCrt\" },\n0x1046: { n:\"AxesUsed\" },\n0x1048: { n:\"SBaseRef\" },\n0x104a: { n:\"SerParent\" },\n0x104b: { n:\"SerAuxTrend\" },\n0x104e: { n:\"IFmtRecord\" },\n0x104f: { n:\"Pos\" },\n0x1050: { n:\"AlRuns\" },\n0x1051: { n:\"BRAI\" },\n0x105b: { n:\"SerAuxErrBar\" },\n0x105c: { n:\"ClrtClient\", f:parse_ClrtClient },\n0x105d: { n:\"SerFmt\" },\n0x105f: { n:\"Chart3DBarShape\" },\n0x1060: { n:\"Fbi\" },\n0x1061: { n:\"BopPop\" },\n0x1062: { n:\"AxcExt\" },\n0x1063: { n:\"Dat\" },\n0x1064: { n:\"PlotGrowth\" },\n0x1065: { n:\"SIIndex\" },\n0x1066: { n:\"GelFrame\" },\n0x1067: { n:\"BopPopCustom\" },\n0x1068: { n:\"Fbi2\" },\n\n0x0000: { n:\"Dimensions\", f:parse_Dimensions },\n0x0002: { n:\"BIFF2INT\", f:parse_BIFF2INT },\n0x0005: { n:\"BoolErr\", f:parse_BoolErr },\n0x0007: { n:\"String\", f:parse_BIFF2STRING },\n0x0008: { n:\"BIFF2ROW\" },\n0x000b: { n:\"Index\" },\n0x0016: { n:\"ExternCount\", f:parseuint16 },\n0x001e: { n:\"BIFF2FORMAT\", f:parse_BIFF2Format },\n0x001f: { n:\"BIFF2FMTCNT\" }, /* 16-bit cnt of BIFF2FORMAT records */\n0x0020: { n:\"BIFF2COLINFO\" },\n0x0021: { n:\"Array\", f:parse_Array },\n0x0025: { n:\"DefaultRowHeight\", f:parse_DefaultRowHeight },\n0x0032: { n:\"BIFF2FONTXTRA\", f:parse_BIFF2FONTXTRA },\n0x0034: { n:\"DDEObjName\" },\n0x003e: { n:\"BIFF2WINDOW2\" },\n0x0043: { n:\"BIFF2XF\" },\n0x0045: { n:\"BIFF2FONTCLR\" },\n0x0056: { n:\"BIFF4FMTCNT\" }, /* 16-bit cnt, similar to BIFF2 */\n0x007e: { n:\"RK\" }, /* Not necessarily same as 0x027e */\n0x007f: { n:\"ImData\", f:parse_ImData },\n0x0087: { n:\"Addin\" },\n0x0088: { n:\"Edg\" },\n0x0089: { n:\"Pub\" },\n0x0091: { n:\"Sub\" },\n0x0094: { n:\"LHRecord\" },\n0x0095: { n:\"LHNGraph\" },\n0x0096: { n:\"Sound\" },\n0x00a9: { n:\"CoordList\" },\n0x00ab: { n:\"GCW\" },\n0x00bc: { n:\"ShrFmla\" }, /* Not necessarily same as 0x04bc */\n0x00bf: { n:\"ToolbarHdr\" },\n0x00c0: { n:\"ToolbarEnd\" },\n0x00c2: { n:\"AddMenu\" },\n0x00c3: { n:\"DelMenu\" },\n0x00d6: { n:\"RString\", f:parse_RString },\n0x00df: { n:\"UDDesc\" },\n0x00ea: { n:\"TabIdConf\" },\n0x0162: { n:\"XL5Modify\" },\n0x01a5: { n:\"FileSharing2\" },\n0x0209: { n:'BOF', f:parse_BOF },\n0x0218: { n:\"Lbl\", f:parse_Lbl },\n0x0223: { n:\"ExternName\", f:parse_ExternName },\n0x0231: { n:\"Font\" },\n0x0243: { n:\"BIFF3XF\" },\n0x0409: { n:'BOF', f:parse_BOF },\n0x0443: { n:\"BIFF4XF\" },\n0x086d: { n:\"FeatInfo\" },\n0x0873: { n:\"FeatInfo11\" },\n0x0881: { n:\"SXAddl12\" },\n0x08c0: { n:\"AutoWebPub\" },\n0x08c1: { n:\"ListObj\" },\n0x08c2: { n:\"ListField\" },\n0x08c3: { n:\"ListDV\" },\n0x08c4: { n:\"ListCondFmt\" },\n0x08c5: { n:\"ListCF\" },\n0x08c6: { n:\"FMQry\" },\n0x08c7: { n:\"FMSQry\" },\n0x08c8: { n:\"PLV\" },\n0x08c9: { n:\"LnExt\" },\n0x08ca: { n:\"MkrExt\" },\n0x08cb: { n:\"CrtCoopt\" },\n0x08d6: { n:\"FRTArchId$\", r:12 },\n\n0x7262: {}\n};\n\nvar XLSRE = evert_key(XLSRecordEnum, 'n');\nfunction write_biff_rec(ba, type, payload, length) {\n\tvar t = +type || +XLSRE[type];\n\tif(isNaN(t)) return;\n\tvar len = length || (payload||[]).length || 0;\n\tvar o = ba.next(4);\n\to.write_shift(2, t);\n\to.write_shift(2, len);\n\tif(len > 0 && is_buf(payload)) ba.push(payload);\n}\n\nfunction write_biff_continue(ba, type, payload, length) {\n\tvar len = length || (payload||[]).length || 0;\n\tif(len <= 8224) return write_biff_rec(ba, type, payload, len);\n\tvar t = +type || +XLSRE[type];\n\tif(isNaN(t)) return;\n\tvar parts = payload.parts || [], sidx = 0;\n\tvar i = 0, w = 0;\n\twhile(w + (parts[sidx] || 8224) <= 8224) { w+= (parts[sidx] || 8224); sidx++; }\n\tvar o = ba.next(4);\n\to.write_shift(2, t);\n\to.write_shift(2, w);\n\tba.push(payload.slice(i, i + w));\n\ti += w;\n\twhile(i < len) {\n\t\to = ba.next(4);\n\t\to.write_shift(2, 0x3c); // TODO: figure out correct continue type\n\t\tw = 0;\n\t\twhile(w + (parts[sidx] || 8224) <= 8224) { w+= (parts[sidx] || 8224); sidx++; }\n\t\to.write_shift(2, w);\n\t\tba.push(payload.slice(i, i+w)); i+= w;\n\t}\n}\n\nfunction write_BIFF2Cell(out, r, c) {\n\tif(!out) out = new_buf(7);\n\tout.write_shift(2, r);\n\tout.write_shift(2, c);\n\tout.write_shift(2, 0);\n\tout.write_shift(1, 0);\n\treturn out;\n}\n\nfunction write_BIFF2BERR(r, c, val, t) {\n\tvar out = new_buf(9);\n\twrite_BIFF2Cell(out, r, c);\n\tif(t == 'e') { out.write_shift(1, val); out.write_shift(1, 1); }\n\telse { out.write_shift(1, val?1:0); out.write_shift(1, 0); }\n\treturn out;\n}\n\n/* TODO: codepage, large strings */\nfunction write_BIFF2LABEL(r, c, val) {\n\tvar out = new_buf(8 + 2*val.length);\n\twrite_BIFF2Cell(out, r, c);\n\tout.write_shift(1, val.length);\n\tout.write_shift(val.length, val, 'sbcs');\n\treturn out.l < out.length ? out.slice(0, out.l) : out;\n}\n\nfunction write_ws_biff2_cell(ba, cell, R, C) {\n\tif(cell.v != null) switch(cell.t) {\n\t\tcase 'd': case 'n':\n\t\t\tvar v = cell.t == 'd' ? datenum(parseDate(cell.v)) : cell.v;\n\t\t\tif((v == (v|0)) && (v >= 0) && (v < 65536))\n\t\t\t\twrite_biff_rec(ba, 0x0002, write_BIFF2INT(R, C, v));\n\t\t\telse\n\t\t\t\twrite_biff_rec(ba, 0x0003, write_BIFF2NUM(R,C, v));\n\t\t\treturn;\n\t\tcase 'b': case 'e': write_biff_rec(ba, 0x0005, write_BIFF2BERR(R, C, cell.v, cell.t)); return;\n\t\t/* TODO: codepage, sst */\n\t\tcase 's': case 'str':\n\t\t\twrite_biff_rec(ba, 0x0004, write_BIFF2LABEL(R, C, cell.v));\n\t\t\treturn;\n\t}\n\twrite_biff_rec(ba, 0x0001, write_BIFF2Cell(null, R, C));\n}\n\nfunction write_ws_biff2(ba, ws, idx, opts) {\n\tvar dense = Array.isArray(ws);\n\tvar range = safe_decode_range(ws['!ref'] || \"A1\"), ref, rr = \"\", cols = [];\n\tif(range.e.c > 0xFF || range.e.r > 0x3FFF) {\n\t\tif(opts.WTF) throw new Error(\"Range \" + (ws['!ref'] || \"A1\") + \" exceeds format limit A1:IV16384\");\n\t\trange.e.c = Math.min(range.e.c, 0xFF);\n\t\trange.e.r = Math.min(range.e.c, 0x3FFF);\n\t\tref = encode_range(range);\n\t}\n\tfor(var R = range.s.r; R <= range.e.r; ++R) {\n\t\trr = encode_row(R);\n\t\tfor(var C = range.s.c; C <= range.e.c; ++C) {\n\t\t\tif(R === range.s.r) cols[C] = encode_col(C);\n\t\t\tref = cols[C] + rr;\n\t\t\tvar cell = dense ? (ws[R]||[])[C] : ws[ref];\n\t\t\tif(!cell) continue;\n\t\t\t/* write cell */\n\t\t\twrite_ws_biff2_cell(ba, cell, R, C, opts);\n\t\t}\n\t}\n}\n\n/* Based on test files */\nfunction write_biff2_buf(wb, opts) {\n\tvar o = opts || {};\n\tif(DENSE != null && o.dense == null) o.dense = DENSE;\n\tvar ba = buf_array();\n\tvar idx = 0;\n\tfor(var i=0;i 0xFF || range.e.r >= MAX_ROWS) {\n\t\tif(opts.WTF) throw new Error(\"Range \" + (ws['!ref'] || \"A1\") + \" exceeds format limit A1:IV16384\");\n\t\trange.e.c = Math.min(range.e.c, 0xFF);\n\t\trange.e.r = Math.min(range.e.c, MAX_ROWS-1);\n\t}\n\n\twrite_biff_rec(ba, 0x0809, write_BOF(wb, 0x10, opts));\n\t/* [Uncalced] Index */\n\twrite_biff_rec(ba, \"CalcMode\", writeuint16(1));\n\twrite_biff_rec(ba, \"CalcCount\", writeuint16(100));\n\twrite_biff_rec(ba, \"CalcRefMode\", writebool(true));\n\twrite_biff_rec(ba, \"CalcIter\", writebool(false));\n\twrite_biff_rec(ba, \"CalcDelta\", write_Xnum(0.001));\n\twrite_biff_rec(ba, \"CalcSaveRecalc\", writebool(true));\n\twrite_biff_rec(ba, \"PrintRowCol\", writebool(false));\n\twrite_biff_rec(ba, \"PrintGrid\", writebool(false));\n\twrite_biff_rec(ba, \"GridSet\", writeuint16(1));\n\twrite_biff_rec(ba, \"Guts\", write_Guts([0,0]));\n\t/* DefaultRowHeight WsBool [Sync] [LPr] [HorizontalPageBreaks] [VerticalPageBreaks] */\n\t/* Header (string) */\n\t/* Footer (string) */\n\twrite_biff_rec(ba, \"HCenter\", writebool(false));\n\twrite_biff_rec(ba, \"VCenter\", writebool(false));\n\t/* ... */\n\twrite_biff_rec(ba, 0x200, write_Dimensions(range, opts));\n\t/* ... */\n\n\tif(b8) ws['!links'] = [];\n\tfor(var R = range.s.r; R <= range.e.r; ++R) {\n\t\trr = encode_row(R);\n\t\tfor(var C = range.s.c; C <= range.e.c; ++C) {\n\t\t\tif(R === range.s.r) cols[C] = encode_col(C);\n\t\t\tref = cols[C] + rr;\n\t\t\tvar cell = dense ? (ws[R]||[])[C] : ws[ref];\n\t\t\tif(!cell) continue;\n\t\t\t/* write cell */\n\t\t\twrite_ws_biff8_cell(ba, cell, R, C, opts);\n\t\t\tif(b8 && cell.l) ws['!links'].push([ref, cell.l]);\n\t\t}\n\t}\n\tvar cname = _sheet.CodeName || _sheet.name || s;\n\t/* ... */\n\tif(b8) write_biff_rec(ba, \"Window2\", write_Window2((_WB.Views||[])[0]));\n\t/* ... */\n\tif(b8 && (ws['!merges']||[]).length) write_biff_rec(ba, \"MergeCells\", write_MergeCells(ws['!merges']));\n\t/* [LRng] *QUERYTABLE [PHONETICINFO] CONDFMTS */\n\tif(b8) write_ws_biff8_hlinks(ba, ws);\n\t/* [DVAL] */\n\twrite_biff_rec(ba, \"CodeName\", write_XLUnicodeString(cname, opts));\n\t/* *WebPub *CellWatch [SheetExt] */\n\tif(b8) write_FEAT(ba, ws);\n\t/* *FEAT11 *RECORD12 */\n\twrite_biff_rec(ba, \"EOF\");\n\treturn ba.end();\n}\n\n/* [MS-XLS] 2.1.7.20.3 */\nfunction write_biff8_global(wb, bufs, opts) {\n\tvar A = buf_array();\n\tvar _WB = ((wb||{}).Workbook||{});\n\tvar _sheets = (_WB.Sheets||[]);\n\tvar _wb = _WB.WBProps||{};\n\tvar b8 = opts.biff == 8, b5 = opts.biff == 5;\n\twrite_biff_rec(A, 0x0809, write_BOF(wb, 0x05, opts));\n\tif(opts.bookType == \"xla\") write_biff_rec(A, \"Addin\");\n\twrite_biff_rec(A, \"InterfaceHdr\", b8 ? writeuint16(0x04b0) : null);\n\twrite_biff_rec(A, \"Mms\", writezeroes(2));\n\tif(b5) write_biff_rec(A, \"ToolbarHdr\");\n\tif(b5) write_biff_rec(A, \"ToolbarEnd\");\n\twrite_biff_rec(A, \"InterfaceEnd\");\n\twrite_biff_rec(A, \"WriteAccess\", write_WriteAccess(\"SheetJS\", opts));\n\t/* [FileSharing] */\n\twrite_biff_rec(A, \"CodePage\", writeuint16(b8 ? 0x04b0 : 0x04E4));\n\t/* *2047 Lel */\n\tif(b8) write_biff_rec(A, \"DSF\", writeuint16(0));\n\tif(b8) write_biff_rec(A, \"Excel9File\");\n\twrite_biff_rec(A, \"RRTabId\", write_RRTabId(wb.SheetNames.length));\n\tif(b8 && wb.vbaraw) write_biff_rec(A, \"ObProj\");\n\t/* [ObNoMacros] */\n\tif(b8 && wb.vbaraw) {\n\t\tvar cname = _wb.CodeName || \"ThisWorkbook\";\n\t\twrite_biff_rec(A, \"CodeName\", write_XLUnicodeString(cname, opts));\n\t}\n\twrite_biff_rec(A, \"BuiltInFnGroupCount\", writeuint16(0x11));\n\t/* *FnGroupName *FnGrp12 */\n\t/* *Lbl */\n\t/* [OleObjectSize] */\n\twrite_biff_rec(A, \"WinProtect\", writebool(false));\n\twrite_biff_rec(A, \"Protect\", writebool(false));\n\twrite_biff_rec(A, \"Password\", writeuint16(0));\n\tif(b8) write_biff_rec(A, \"Prot4Rev\", writebool(false));\n\tif(b8) write_biff_rec(A, \"Prot4RevPass\", writeuint16(0));\n\twrite_biff_rec(A, \"Window1\", write_Window1(opts));\n\twrite_biff_rec(A, \"Backup\", writebool(false));\n\twrite_biff_rec(A, \"HideObj\", writeuint16(0));\n\twrite_biff_rec(A, \"Date1904\", writebool(safe1904(wb)==\"true\"));\n\twrite_biff_rec(A, \"CalcPrecision\", writebool(true));\n\tif(b8) write_biff_rec(A, \"RefreshAll\", writebool(false));\n\twrite_biff_rec(A, \"BookBool\", writeuint16(0));\n\t/* ... */\n\twrite_FONTS_biff8(A, wb, opts);\n\twrite_FMTS_biff8(A, wb.SSF, opts);\n\twrite_CELLXFS_biff8(A, opts);\n\t/* ... */\n\tif(b8) write_biff_rec(A, \"UsesELFs\", writebool(false));\n\tvar a = A.end();\n\n\tvar C = buf_array();\n\t/* METADATA [MTRSettings] [ForceFullCalculation] */\n\tif(b8) write_biff_rec(C, \"Country\", write_Country());\n\t/* *SUPBOOK *LBL *RTD [RecalcId] *HFPicture *MSODRAWINGGROUP */\n\n\t/* BIFF8: [SST *Continue] ExtSST */\n\tif(b8 && opts.Strings) write_biff_continue(C, \"SST\", write_SST(opts.Strings, opts));\n\n\t/* *WebPub [WOpt] [CrErr] [BookExt] *FeatHdr *DConn [THEME] [CompressPictures] [Compat12] [GUIDTypeLib] */\n\twrite_biff_rec(C, \"EOF\");\n\tvar c = C.end();\n\n\tvar B = buf_array();\n\tvar blen = 0, j = 0;\n\tfor(j = 0; j < wb.SheetNames.length; ++j) blen += (b8 ? 12 : 11) + (b8 ? 2 : 1) * wb.SheetNames[j].length;\n\tvar start = a.length + blen + c.length;\n\tfor(j = 0; j < wb.SheetNames.length; ++j) {\n\t\tvar _sheet = _sheets[j] || ({});\n\t\twrite_biff_rec(B, \"BoundSheet8\", write_BoundSheet8({pos:start, hs:_sheet.Hidden||0, dt:0, name:wb.SheetNames[j]}, opts));\n\t\tstart += bufs[j].length;\n\t}\n\t/* 1*BoundSheet8 */\n\tvar b = B.end();\n\tif(blen != b.length) throw new Error(\"BS8 \" + blen + \" != \" + b.length);\n\n\tvar out = [];\n\tif(a.length) out.push(a);\n\tif(b.length) out.push(b);\n\tif(c.length) out.push(c);\n\treturn __toBuffer([out]);\n}\n\n/* [MS-XLS] 2.1.7.20 Workbook Stream */\nfunction write_biff8_buf(wb, opts) {\n\tvar o = opts || {};\n\tvar bufs = [];\n\n\tif(wb && !wb.SSF) {\n\t\twb.SSF = SSF.get_table();\n\t}\n\tif(wb && wb.SSF) {\n\t\tmake_ssf(SSF); SSF.load_table(wb.SSF);\n\t\t// $FlowIgnore\n\t\to.revssf = evert_num(wb.SSF); o.revssf[wb.SSF[65535]] = 0;\n\t\to.ssf = wb.SSF;\n\t}\n\n\to.Strings = []; o.Strings.Count = 0; o.Strings.Unique = 0;\n\tfix_write_opts(o);\n\n\to.cellXfs = [];\n\tget_cell_style(o.cellXfs, {}, {revssf:{\"General\":0}});\n\n\tif(!wb.Props) wb.Props = {};\n\n\tfor(var i = 0; i < wb.SheetNames.length; ++i) bufs[bufs.length] = write_ws_biff8(i, o, wb);\n\tbufs.unshift(write_biff8_global(wb, bufs, o));\n\treturn __toBuffer([bufs]);\n}\n\nfunction write_biff_buf(wb, opts) {\n\tvar o = opts || {};\n\tswitch(o.biff || 2) {\n\t\tcase 8: case 5: return write_biff8_buf(wb, opts);\n\t\tcase 4: case 3: case 2: return write_biff2_buf(wb, opts);\n\t}\n\tthrow new Error(\"invalid type \" + o.bookType + \" for BIFF\");\n}\n/* note: browser DOM element cannot see mso- style attrs, must parse */\nvar HTML_ = (function() {\n\tfunction html_to_sheet(str, _opts) {\n\t\tvar opts = _opts || {};\n\t\tif(DENSE != null && opts.dense == null) opts.dense = DENSE;\n\t\tvar ws = opts.dense ? ([]) : ({});\n\t\tstr = str.replace(//g, \"\");\n\t\tvar mtch = str.match(/\");\n\t\tvar mtch2 = str.match(/<\\/table/i);\n\t\tvar i = mtch.index, j = mtch2 && mtch2.index || str.length;\n\t\tvar rows = split_regex(str.slice(i, j), /(:?]*>)/i, \"\");\n\t\tvar R = -1, C = 0, RS = 0, CS = 0;\n\t\tvar range = {s:{r:10000000, c:10000000},e:{r:0,c:0}};\n\t\tvar merges = [];\n\t\tfor(i = 0; i < rows.length; ++i) {\n\t\t\tvar row = rows[i].trim();\n\t\t\tvar hd = row.slice(0,3).toLowerCase();\n\t\t\tif(hd == \"/i);\n\t\t\tfor(j = 0; j < cells.length; ++j) {\n\t\t\t\tvar cell = cells[j].trim();\n\t\t\t\tif(!cell.match(/\")) > -1) m = m.slice(cc+1);\n\t\t\t\tfor(var midx = 0; midx < merges.length; ++midx) {\n\t\t\t\t\tvar _merge = merges[midx];\n\t\t\t\t\tif(_merge.s.c == C && _merge.s.r < R && R <= _merge.e.r) { C = _merge.e.c + 1; midx = -1; }\n\t\t\t\t}\n\t\t\t\tvar tag = parsexmltag(cell.slice(0, cell.indexOf(\">\")));\n\t\t\t\tCS = tag.colspan ? +tag.colspan : 1;\n\t\t\t\tif((RS = +tag.rowspan)>1 || CS>1) merges.push({s:{r:R,c:C},e:{r:R + (RS||1) - 1, c:C + CS - 1}});\n\t\t\t\tvar _t = tag.t || \"\";\n\t\t\t\t/* TODO: generate stub cells */\n\t\t\t\tif(!m.length) { C += CS; continue; }\n\t\t\t\tm = htmldecode(m);\n\t\t\t\tif(range.s.r > R) range.s.r = R; if(range.e.r < R) range.e.r = R;\n\t\t\t\tif(range.s.c > C) range.s.c = C; if(range.e.c < C) range.e.c = C;\n\t\t\t\tif(!m.length) continue;\n\t\t\t\tvar o = {t:'s', v:m};\n\t\t\t\tif(opts.raw || !m.trim().length || _t == 's'){}\n\t\t\t\telse if(m === 'TRUE') o = {t:'b', v:true};\n\t\t\t\telse if(m === 'FALSE') o = {t:'b', v:false};\n\t\t\t\telse if(!isNaN(fuzzynum(m))) o = {t:'n', v:fuzzynum(m)};\n\t\t\t\telse if(!isNaN(fuzzydate(m).getDate())) {\n\t\t\t\t\to = ({t:'d', v:parseDate(m)});\n\t\t\t\t\tif(!opts.cellDates) o = ({t:'n', v:datenum(o.v)});\n\t\t\t\t\to.z = opts.dateNF || SSF._table[14];\n\t\t\t\t}\n\t\t\t\tif(opts.dense) { if(!ws[R]) ws[R] = []; ws[R][C] = o; }\n\t\t\t\telse ws[encode_cell({r:R, c:C})] = o;\n\t\t\t\tC += CS;\n\t\t\t}\n\t\t}\n\t\tws['!ref'] = encode_range(range);\n\t\tif(merges.length) ws[\"!merges\"] = merges;\n\t\treturn ws;\n\t}\n\tfunction html_to_book(str, opts) {\n\t\treturn sheet_to_workbook(html_to_sheet(str, opts), opts);\n\t}\n\tfunction make_html_row(ws, r, R, o) {\n\t\tvar M = (ws['!merges'] ||[]);\n\t\tvar oo = [];\n\t\tfor(var C = r.s.c; C <= r.e.c; ++C) {\n\t\t\tvar RS = 0, CS = 0;\n\t\t\tfor(var j = 0; j < M.length; ++j) {\n\t\t\t\tif(M[j].s.r > R || M[j].s.c > C) continue;\n\t\t\t\tif(M[j].e.r < R || M[j].e.c < C) continue;\n\t\t\t\tif(M[j].s.r < R || M[j].s.c < C) { RS = -1; break; }\n\t\t\t\tRS = M[j].e.r - M[j].s.r + 1; CS = M[j].e.c - M[j].s.c + 1; break;\n\t\t\t}\n\t\t\tif(RS < 0) continue;\n\t\t\tvar coord = encode_cell({r:R,c:C});\n\t\t\tvar cell = o.dense ? (ws[R]||[])[C] : ws[coord];\n\t\t\t/* TODO: html entities */\n\t\t\tvar w = (cell && cell.v != null) && (cell.h || escapehtml(cell.w || (format_cell(cell), cell.w) || \"\")) || \"\";\n\t\t\tvar sp = ({});\n\t\t\tif(RS > 1) sp.rowspan = RS;\n\t\t\tif(CS > 1) sp.colspan = CS;\n\t\t\tsp.t = cell && cell.t || 'z';\n\t\t\tif(o.editable) w = '' + w + '';\n\t\t\tsp.id = (o.id || \"sjs\") + \"-\" + coord;\n\t\t\tif(sp.t != \"z\") { sp.v = cell.v; if(cell.z != null) sp.z = cell.z; }\n\t\t\too.push(writextag('td', w, sp));\n\t\t}\n\t\tvar preamble = \"\";\n\t\treturn preamble + oo.join(\"\") + \"\";\n\t}\n\tfunction make_html_preamble(ws, R, o) {\n\t\tvar out = [];\n\t\treturn out.join(\"\") + '';\n\t}\n\tvar _BEGIN = 'SheetJS Table Export';\n\tvar _END = '';\n\tfunction sheet_to_html(ws, opts/*, wb:?Workbook*/) {\n\t\tvar o = opts || {};\n\t\tvar header = o.header != null ? o.header : _BEGIN;\n\t\tvar footer = o.footer != null ? o.footer : _END;\n\t\tvar out = [header];\n\t\tvar r = decode_range(ws['!ref']);\n\t\to.dense = Array.isArray(ws);\n\t\tout.push(make_html_preamble(ws, r, o));\n\t\tfor(var R = r.s.r; R <= r.e.r; ++R) out.push(make_html_row(ws, r, R, o));\n\t\tout.push(\"
\" + footer);\n\t\treturn out.join(\"\");\n\n\t}\n\treturn {\n\t\tto_workbook: html_to_book,\n\t\tto_sheet: html_to_sheet,\n\t\t_row: make_html_row,\n\t\tBEGIN: _BEGIN,\n\t\tEND: _END,\n\t\t_preamble: make_html_preamble,\n\t\tfrom_sheet: sheet_to_html\n\t};\n})();\n\nfunction sheet_add_dom(ws, table, _opts) {\n\tvar opts = _opts || {};\n\tif(DENSE != null) opts.dense = DENSE;\n\tvar or_R = 0, or_C = 0;\n\tif(opts.origin != null) {\n\t\tif(typeof opts.origin == 'number') or_R = opts.origin;\n\t\telse {\n\t\t\tvar _origin = typeof opts.origin == \"string\" ? decode_cell(opts.origin) : opts.origin;\n\t\t\tor_R = _origin.r; or_C = _origin.c;\n\t\t}\n\t}\n\tvar rows = table.getElementsByTagName('tr');\n\tvar sheetRows = Math.min(opts.sheetRows||10000000, rows.length);\n\tvar range = {s:{r:0,c:0},e:{r:or_R,c:or_C}};\n\tif(ws[\"!ref\"]) {\n\t\tvar _range = decode_range(ws[\"!ref\"]);\n\t\trange.s.r = Math.min(range.s.r, _range.s.r);\n\t\trange.s.c = Math.min(range.s.c, _range.s.c);\n\t\trange.e.r = Math.max(range.e.r, _range.e.r);\n\t\trange.e.c = Math.max(range.e.c, _range.e.c);\n\t\tif(or_R == -1) range.e.r = or_R = _range.e.r + 1;\n\t}\n\tvar merges = [], midx = 0;\n\tvar rowinfo = ws[\"!rows\"] || (ws[\"!rows\"] = []);\n\tvar _R = 0, R = 0, _C = 0, C = 0, RS = 0, CS = 0;\n\tif(!ws[\"!cols\"]) ws['!cols'] = [];\n\tfor(; _R < rows.length && R < sheetRows; ++_R) {\n\t\tvar row = rows[_R];\n\t\tif (is_dom_element_hidden(row)) {\n\t\t\tif (opts.display) continue;\n\t\t\trowinfo[R] = {hidden: true};\n\t\t}\n\t\tvar elts = (row.children);\n\t\tfor(_C = C = 0; _C < elts.length; ++_C) {\n\t\t\tvar elt = elts[_C];\n\t\t\tif (opts.display && is_dom_element_hidden(elt)) continue;\n\t\t\tvar v = elt.hasAttribute('v') ? elt.getAttribute('v') : htmldecode(elt.innerHTML);\n\t\t\tvar z = elt.getAttribute('z');\n\t\t\tfor(midx = 0; midx < merges.length; ++midx) {\n\t\t\t\tvar m = merges[midx];\n\t\t\t\tif(m.s.c == C + or_C && m.s.r < R + or_R && R + or_R <= m.e.r) { C = m.e.c+1 - or_C; midx = -1; }\n\t\t\t}\n\t\t\t/* TODO: figure out how to extract nonstandard mso- style */\n\t\t\tCS = +elt.getAttribute(\"colspan\") || 1;\n\t\t\tif( ((RS = (+elt.getAttribute(\"rowspan\") || 1)))>1 || CS>1) merges.push({s:{r:R + or_R,c:C + or_C},e:{r:R + or_R + (RS||1) - 1, c:C + or_C + (CS||1) - 1}});\n\t\t\tvar o = {t:'s', v:v};\n\t\t\tvar _t = elt.getAttribute(\"t\") || \"\";\n\t\t\tif(v != null) {\n\t\t\t\tif(v.length == 0) o.t = _t || 'z';\n\t\t\t\telse if(opts.raw || v.trim().length == 0 || _t == \"s\"){}\n\t\t\t\telse if(v === 'TRUE') o = {t:'b', v:true};\n\t\t\t\telse if(v === 'FALSE') o = {t:'b', v:false};\n\t\t\t\telse if(!isNaN(fuzzynum(v))) o = {t:'n', v:fuzzynum(v)};\n\t\t\t\telse if(!isNaN(fuzzydate(v).getDate())) {\n\t\t\t\t\to = ({t:'d', v:parseDate(v)});\n\t\t\t\t\tif(!opts.cellDates) o = ({t:'n', v:datenum(o.v)});\n\t\t\t\t\to.z = opts.dateNF || SSF._table[14];\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(o.z === undefined && z != null) o.z = z;\n\t\t\tif(opts.dense) { if(!ws[R + or_R]) ws[R + or_R] = []; ws[R + or_R][C + or_C] = o; }\n\t\t\telse ws[encode_cell({c:C + or_C, r:R + or_R})] = o;\n\t\t\tif(range.e.c < C + or_C) range.e.c = C + or_C;\n\t\t\tC += CS;\n\t\t}\n\t\t++R;\n\t}\n\tif(merges.length) ws['!merges'] = (ws[\"!merges\"] || []).concat(merges);\n\trange.e.r = Math.max(range.e.r, R - 1 + or_R);\n\tws['!ref'] = encode_range(range);\n\tif(R >= sheetRows) ws['!fullref'] = encode_range((range.e.r = rows.length-_R+R-1 + or_R,range)); // We can count the real number of rows to parse but we don't to improve the performance\n\treturn ws;\n}\n\nfunction parse_dom_table(table, _opts) {\n\tvar opts = _opts || {};\n\tvar ws = opts.dense ? ([]) : ({});\n\treturn sheet_add_dom(ws, table, _opts);\n}\n\nfunction table_to_book(table, opts) {\n\treturn sheet_to_workbook(parse_dom_table(table, opts), opts);\n}\n\nfunction is_dom_element_hidden(element) {\n\tvar display = '';\n\tvar get_computed_style = get_get_computed_style_function(element);\n\tif(get_computed_style) display = get_computed_style(element).getPropertyValue('display');\n\tif(!display) display = element.style.display; // Fallback for cases when getComputedStyle is not available (e.g. an old browser or some Node.js environments) or doesn't work (e.g. if the element is not inserted to a document)\n\treturn display === 'none';\n}\n\n/* global getComputedStyle */\nfunction get_get_computed_style_function(element) {\n\t// The proper getComputedStyle implementation is the one defined in the element window\n\tif(element.ownerDocument.defaultView && typeof element.ownerDocument.defaultView.getComputedStyle === 'function') return element.ownerDocument.defaultView.getComputedStyle;\n\t// If it is not available, try to get one from the global namespace\n\tif(typeof getComputedStyle === 'function') return getComputedStyle;\n\treturn null;\n}\n/* OpenDocument */\nvar parse_content_xml = (function() {\n\n\tvar parse_text_p = function(text) {\n\t\t/* 6.1.2 White Space Characters */\n\t\tvar fixed = text\n\t\t\t.replace(/[\\t\\r\\n]/g, \" \").trim().replace(/ +/g, \" \")\n\t\t\t.replace(//g,\" \")\n\t\t\t.replace(//g, function($$,$1) { return Array(parseInt($1,10)+1).join(\" \"); })\n\t\t\t.replace(/]*\\/>/g,\"\\t\")\n\t\t\t.replace(//g,\"\\n\");\n\t\tvar v = unescapexml(fixed.replace(/<[^>]*>/g,\"\"));\n\n\t\treturn [v];\n\t};\n\n\tvar number_formats = {\n\t\t/* ods name: [short ssf fmt, long ssf fmt] */\n\t\tday: [\"d\", \"dd\"],\n\t\tmonth: [\"m\", \"mm\"],\n\t\tyear: [\"y\", \"yy\"],\n\t\thours: [\"h\", \"hh\"],\n\t\tminutes: [\"m\", \"mm\"],\n\t\tseconds: [\"s\", \"ss\"],\n\t\t\"am-pm\": [\"A/P\", \"AM/PM\"],\n\t\t\"day-of-week\": [\"ddd\", \"dddd\"],\n\t\tera: [\"e\", \"ee\"],\n\t\t/* there is no native representation of LO \"Q\" format */\n\t\tquarter: [\"\\\\Qm\", \"m\\\\\\\"th quarter\\\"\"]\n\t};\n\n\treturn function pcx(d, _opts) {\n\t\tvar opts = _opts || {};\n\t\tif(DENSE != null && opts.dense == null) opts.dense = DENSE;\n\t\tvar str = xlml_normalize(d);\n\t\tvar state = [], tmp;\n\t\tvar tag;\n\t\tvar NFtag = {name:\"\"}, NF = \"\", pidx = 0;\n\t\tvar sheetag;\n\t\tvar rowtag;\n\t\tvar Sheets = {}, SheetNames = [];\n\t\tvar ws = opts.dense ? ([]) : ({});\n\t\tvar Rn, q;\n\t\tvar ctag = ({value:\"\"});\n\t\tvar textp = \"\", textpidx = 0, textptag;\n\t\tvar textR = [];\n\t\tvar R = -1, C = -1, range = {s: {r:1000000,c:10000000}, e: {r:0, c:0}};\n\t\tvar row_ol = 0;\n\t\tvar number_format_map = {};\n\t\tvar merges = [], mrange = {}, mR = 0, mC = 0;\n\t\tvar rowinfo = [], rowpeat = 1, colpeat = 1;\n\t\tvar arrayf = [];\n\t\tvar WB = {Names:[]};\n\t\tvar atag = ({});\n\t\tvar _Ref = [\"\", \"\"];\n\t\tvar comments = [], comment = ({});\n\t\tvar creator = \"\", creatoridx = 0;\n\t\tvar isstub = false, intable = false;\n\t\tvar i = 0;\n\t\txlmlregex.lastIndex = 0;\n\t\tstr = str.replace(//mg,\"\").replace(//gm,\"\");\n\t\twhile((Rn = xlmlregex.exec(str))) switch((Rn[3]=Rn[3].replace(/_.*$/,\"\"))) {\n\n\t\t\tcase 'table': case '工作表': // 9.1.2 \n\t\t\t\tif(Rn[1]==='/') {\n\t\t\t\t\tif(range.e.c >= range.s.c && range.e.r >= range.s.r) ws['!ref'] = encode_range(range);\n\t\t\t\t\telse ws['!ref'] = \"A1:A1\";\n\t\t\t\t\tif(opts.sheetRows > 0 && opts.sheetRows <= range.e.r) {\n\t\t\t\t\t\tws['!fullref'] = ws['!ref'];\n\t\t\t\t\t\trange.e.r = opts.sheetRows - 1;\n\t\t\t\t\t\tws['!ref'] = encode_range(range);\n\t\t\t\t\t}\n\t\t\t\t\tif(merges.length) ws['!merges'] = merges;\n\t\t\t\t\tif(rowinfo.length) ws[\"!rows\"] = rowinfo;\n\t\t\t\t\tsheetag.name = sheetag['名称'] || sheetag.name;\n\t\t\t\t\tif(typeof JSON !== 'undefined') JSON.stringify(sheetag);\n\t\t\t\t\tSheetNames.push(sheetag.name);\n\t\t\t\t\tSheets[sheetag.name] = ws;\n\t\t\t\t\tintable = false;\n\t\t\t\t}\n\t\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') {\n\t\t\t\t\tsheetag = parsexmltag(Rn[0], false);\n\t\t\t\t\tR = C = -1;\n\t\t\t\t\trange.s.r = range.s.c = 10000000; range.e.r = range.e.c = 0;\n\t\t\t\t\tws = opts.dense ? ([]) : ({}); merges = [];\n\t\t\t\t\trowinfo = [];\n\t\t\t\t\tintable = true;\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 'table-row-group': // 9.1.9 \n\t\t\t\tif(Rn[1] === \"/\") --row_ol; else ++row_ol;\n\t\t\t\tbreak;\n\t\t\tcase 'table-row': case '行': // 9.1.3 \n\t\t\t\tif(Rn[1] === '/') { R+=rowpeat; rowpeat = 1; break; }\n\t\t\t\trowtag = parsexmltag(Rn[0], false);\n\t\t\t\tif(rowtag['行号']) R = rowtag['行号'] - 1; else if(R == -1) R = 0;\n\t\t\t\trowpeat = +rowtag['number-rows-repeated'] || 1;\n\t\t\t\t/* TODO: remove magic */\n\t\t\t\tif(rowpeat < 10) for(i = 0; i < rowpeat; ++i) if(row_ol > 0) rowinfo[R + i] = {level: row_ol};\n\t\t\t\tC = -1; break;\n\t\t\tcase 'covered-table-cell': // 9.1.5 \n\t\t\t\tif(Rn[1] !== '/') ++C;\n\t\t\t\tif(opts.sheetStubs) {\n\t\t\t\t\tif(opts.dense) { if(!ws[R]) ws[R] = []; ws[R][C] = {t:'z'}; }\n\t\t\t\t\telse ws[encode_cell({r:R,c:C})] = {t:'z'};\n\t\t\t\t}\n\t\t\t\ttextp = \"\"; textR = [];\n\t\t\t\tbreak; /* stub */\n\t\t\tcase 'table-cell': case '数据':\n\t\t\t\tif(Rn[0].charAt(Rn[0].length-2) === '/') {\n\t\t\t\t\t++C;\n\t\t\t\t\tctag = parsexmltag(Rn[0], false);\n\t\t\t\t\tcolpeat = parseInt(ctag['number-columns-repeated']||\"1\", 10);\n\t\t\t\t\tq = ({t:'z', v:null});\n\t\t\t\t\tif(ctag.formula && opts.cellFormula != false) q.f = ods_to_csf_formula(unescapexml(ctag.formula));\n\t\t\t\t\tif((ctag['数据类型'] || ctag['value-type']) == \"string\") {\n\t\t\t\t\t\tq.t = \"s\"; q.v = unescapexml(ctag['string-value'] || \"\");\n\t\t\t\t\t\tif(opts.dense) {\n\t\t\t\t\t\t\tif(!ws[R]) ws[R] = [];\n\t\t\t\t\t\t\tws[R][C] = q;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tws[encode_cell({r:R,c:C})] = q;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tC+= colpeat-1;\n\t\t\t\t} else if(Rn[1]!=='/') {\n\t\t\t\t\t++C;\n\t\t\t\t\tcolpeat = 1;\n\t\t\t\t\tvar rptR = rowpeat ? R + rowpeat - 1 : R;\n\t\t\t\t\tif(C > range.e.c) range.e.c = C;\n\t\t\t\t\tif(C < range.s.c) range.s.c = C;\n\t\t\t\t\tif(R < range.s.r) range.s.r = R;\n\t\t\t\t\tif(rptR > range.e.r) range.e.r = rptR;\n\t\t\t\t\tctag = parsexmltag(Rn[0], false);\n\t\t\t\t\tcomments = []; comment = ({});\n\t\t\t\t\tq = ({t:ctag['数据类型'] || ctag['value-type'], v:null});\n\t\t\t\t\tif(opts.cellFormula) {\n\t\t\t\t\t\tif(ctag.formula) ctag.formula = unescapexml(ctag.formula);\n\t\t\t\t\t\tif(ctag['number-matrix-columns-spanned'] && ctag['number-matrix-rows-spanned']) {\n\t\t\t\t\t\t\tmR = parseInt(ctag['number-matrix-rows-spanned'],10) || 0;\n\t\t\t\t\t\t\tmC = parseInt(ctag['number-matrix-columns-spanned'],10) || 0;\n\t\t\t\t\t\t\tmrange = {s: {r:R,c:C}, e:{r:R + mR-1,c:C + mC-1}};\n\t\t\t\t\t\t\tq.F = encode_range(mrange);\n\t\t\t\t\t\t\tarrayf.push([mrange, q.F]);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif(ctag.formula) q.f = ods_to_csf_formula(ctag.formula);\n\t\t\t\t\t\telse for(i = 0; i < arrayf.length; ++i)\n\t\t\t\t\t\t\tif(R >= arrayf[i][0].s.r && R <= arrayf[i][0].e.r)\n\t\t\t\t\t\t\t\tif(C >= arrayf[i][0].s.c && C <= arrayf[i][0].e.c)\n\t\t\t\t\t\t\t\t\tq.F = arrayf[i][1];\n\t\t\t\t\t}\n\t\t\t\t\tif(ctag['number-columns-spanned'] || ctag['number-rows-spanned']) {\n\t\t\t\t\t\tmR = parseInt(ctag['number-rows-spanned'],10) || 0;\n\t\t\t\t\t\tmC = parseInt(ctag['number-columns-spanned'],10) || 0;\n\t\t\t\t\t\tmrange = {s: {r:R,c:C}, e:{r:R + mR-1,c:C + mC-1}};\n\t\t\t\t\t\tmerges.push(mrange);\n\t\t\t\t\t}\n\n\t\t\t\t\t/* 19.675.2 table:number-columns-repeated */\n\t\t\t\t\tif(ctag['number-columns-repeated']) colpeat = parseInt(ctag['number-columns-repeated'], 10);\n\n\t\t\t\t\t/* 19.385 office:value-type */\n\t\t\t\t\tswitch(q.t) {\n\t\t\t\t\t\tcase 'boolean': q.t = 'b'; q.v = parsexmlbool(ctag['boolean-value']); break;\n\t\t\t\t\t\tcase 'float': q.t = 'n'; q.v = parseFloat(ctag.value); break;\n\t\t\t\t\t\tcase 'percentage': q.t = 'n'; q.v = parseFloat(ctag.value); break;\n\t\t\t\t\t\tcase 'currency': q.t = 'n'; q.v = parseFloat(ctag.value); break;\n\t\t\t\t\t\tcase 'date': q.t = 'd'; q.v = parseDate(ctag['date-value']);\n\t\t\t\t\t\t\tif(!opts.cellDates) { q.t = 'n'; q.v = datenum(q.v); }\n\t\t\t\t\t\t\tq.z = 'm/d/yy'; break;\n\t\t\t\t\t\tcase 'time': q.t = 'n'; q.v = parse_isodur(ctag['time-value'])/86400; break;\n\t\t\t\t\t\tcase 'number': q.t = 'n'; q.v = parseFloat(ctag['数据数值']); break;\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tif(q.t === 'string' || q.t === 'text' || !q.t) {\n\t\t\t\t\t\t\t\tq.t = 's';\n\t\t\t\t\t\t\t\tif(ctag['string-value'] != null) { textp = unescapexml(ctag['string-value']); textR = []; }\n\t\t\t\t\t\t\t} else throw new Error('Unsupported value type ' + q.t);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tisstub = false;\n\t\t\t\t\tif(q.t === 's') {\n\t\t\t\t\t\tq.v = textp || '';\n\t\t\t\t\t\tif(textR.length) q.R = textR;\n\t\t\t\t\t\tisstub = textpidx == 0;\n\t\t\t\t\t}\n\t\t\t\t\tif(atag.Target) q.l = atag;\n\t\t\t\t\tif(comments.length > 0) { q.c = comments; comments = []; }\n\t\t\t\t\tif(textp && opts.cellText !== false) q.w = textp;\n\t\t\t\t\tif(isstub) { q.t = \"z\"; delete q.v; }\n\t\t\t\t\tif(!isstub || opts.sheetStubs) {\n\t\t\t\t\t\tif(!(opts.sheetRows && opts.sheetRows <= R)) {\n\t\t\t\t\t\t\tfor(var rpt = 0; rpt < rowpeat; ++rpt) {\n\t\t\t\t\t\t\t\tcolpeat = parseInt(ctag['number-columns-repeated']||\"1\", 10);\n\t\t\t\t\t\t\t\tif(opts.dense) {\n\t\t\t\t\t\t\t\t\tif(!ws[R + rpt]) ws[R + rpt] = [];\n\t\t\t\t\t\t\t\t\tws[R + rpt][C] = rpt == 0 ? q : dup(q);\n\t\t\t\t\t\t\t\t\twhile(--colpeat > 0) ws[R + rpt][C + colpeat] = dup(q);\n\t\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t\tws[encode_cell({r:R + rpt,c:C})] = q;\n\t\t\t\t\t\t\t\t\twhile(--colpeat > 0) ws[encode_cell({r:R + rpt,c:C + colpeat})] = dup(q);\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif(range.e.c <= C) range.e.c = C;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tcolpeat = parseInt(ctag['number-columns-repeated']||\"1\", 10);\n\t\t\t\t\tC += colpeat-1; colpeat = 0;\n\t\t\t\t\tq = {};\n\t\t\t\t\ttextp = \"\"; textR = [];\n\t\t\t\t}\n\t\t\t\tatag = ({});\n\t\t\t\tbreak; // 9.1.4 \n\n\t\t\t/* pure state */\n\t\t\tcase 'document': // TODO: is the root for FODS\n\t\t\tcase 'document-content': case '电子表格文档': // 3.1.3.2 \n\t\t\tcase 'spreadsheet': case '主体': // 3.7 \n\t\t\tcase 'scripts': // 3.12 \n\t\t\tcase 'styles': // TODO \n\t\t\tcase 'font-face-decls': // 3.14 \n\t\t\tcase 'master-styles': //3.15.4 -- relevant for FODS\n\t\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;}\n\t\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], true]);\n\t\t\t\tbreak;\n\n\t\t\tcase 'annotation': // 14.1 \n\t\t\t\tif(Rn[1]==='/'){\n\t\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;\n\t\t\t\t\tcomment.t = textp;\n\t\t\t\t\tif(textR.length) comment.R = textR;\n\t\t\t\t\tcomment.a = creator;\n\t\t\t\t\tcomments.push(comment);\n\t\t\t\t}\n\t\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') {state.push([Rn[3], false]);}\n\t\t\t\tcreator = \"\"; creatoridx = 0;\n\t\t\t\ttextp = \"\"; textpidx = 0; textR = [];\n\t\t\t\tbreak;\n\n\t\t\tcase 'creator': // 4.3.2.7 \n\t\t\t\tif(Rn[1]==='/') { creator = str.slice(creatoridx,Rn.index); }\n\t\t\t\telse creatoridx = Rn.index + Rn[0].length;\n\t\t\t\tbreak;\n\n\t\t\t/* ignore state */\n\t\t\tcase 'meta': case '元数据': // TODO: FODS/UOF\n\t\t\tcase 'settings': // TODO: \n\t\t\tcase 'config-item-set': // TODO: \n\t\t\tcase 'config-item-map-indexed': // TODO: \n\t\t\tcase 'config-item-map-entry': // TODO: \n\t\t\tcase 'config-item-map-named': // TODO: \n\t\t\tcase 'shapes': // 9.2.8 \n\t\t\tcase 'frame': // 10.4.2 \n\t\t\tcase 'text-box': // 10.4.3 \n\t\t\tcase 'image': // 10.4.4 \n\t\t\tcase 'data-pilot-tables': // 9.6.2 \n\t\t\tcase 'list-style': // 16.30 \n\t\t\tcase 'form': // 13.13 \n\t\t\tcase 'dde-links': // 9.8 \n\t\t\tcase 'event-listeners': // TODO\n\t\t\tcase 'chart': // TODO\n\t\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;}\n\t\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], false]);\n\t\t\t\ttextp = \"\"; textpidx = 0; textR = [];\n\t\t\t\tbreak;\n\n\t\t\tcase 'scientific-number': // TODO: \n\t\t\t\tbreak;\n\t\t\tcase 'currency-symbol': // TODO: \n\t\t\t\tbreak;\n\t\t\tcase 'currency-style': // TODO: \n\t\t\t\tbreak;\n\t\t\tcase 'number-style': // 16.27.2 \n\t\t\tcase 'percentage-style': // 16.27.9 \n\t\t\tcase 'date-style': // 16.27.10 \n\t\t\tcase 'time-style': // 16.27.18 \n\t\t\t\tif(Rn[1]==='/'){\n\t\t\t\t\tnumber_format_map[NFtag.name] = NF;\n\t\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;\n\t\t\t\t} else if(Rn[0].charAt(Rn[0].length-2) !== '/') {\n\t\t\t\t\tNF = \"\";\n\t\t\t\t\tNFtag = parsexmltag(Rn[0], false);\n\t\t\t\t\tstate.push([Rn[3], true]);\n\t\t\t\t} break;\n\n\t\t\tcase 'script': break; // 3.13 \n\t\t\tcase 'libraries': break; // TODO: \n\t\t\tcase 'automatic-styles': break; // 3.15.3 \n\n\t\t\tcase 'default-style': // TODO: \n\t\t\tcase 'page-layout': break; // TODO: \n\t\t\tcase 'style': // 16.2 \n\t\t\t\tbreak;\n\t\t\tcase 'map': break; // 16.3 \n\t\t\tcase 'font-face': break; // 16.21 \n\n\t\t\tcase 'paragraph-properties': break; // 17.6 \n\t\t\tcase 'table-properties': break; // 17.15 \n\t\t\tcase 'table-column-properties': break; // 17.16 \n\t\t\tcase 'table-row-properties': break; // 17.17 \n\t\t\tcase 'table-cell-properties': break; // 17.18 \n\n\t\t\tcase 'number': // 16.27.3 \n\t\t\t\tswitch(state[state.length-1][0]) {\n\t\t\t\t\tcase 'time-style':\n\t\t\t\t\tcase 'date-style':\n\t\t\t\t\t\ttag = parsexmltag(Rn[0], false);\n\t\t\t\t\t\tNF += number_formats[Rn[3]][tag.style==='long'?1:0]; break;\n\t\t\t\t} break;\n\n\t\t\tcase 'fraction': break; // TODO 16.27.6 \n\n\t\t\tcase 'day': // 16.27.11 \n\t\t\tcase 'month': // 16.27.12 \n\t\t\tcase 'year': // 16.27.13 \n\t\t\tcase 'era': // 16.27.14 \n\t\t\tcase 'day-of-week': // 16.27.15 \n\t\t\tcase 'week-of-year': // 16.27.16 \n\t\t\tcase 'quarter': // 16.27.17 \n\t\t\tcase 'hours': // 16.27.19 \n\t\t\tcase 'minutes': // 16.27.20 \n\t\t\tcase 'seconds': // 16.27.21 \n\t\t\tcase 'am-pm': // 16.27.22 \n\t\t\t\tswitch(state[state.length-1][0]) {\n\t\t\t\t\tcase 'time-style':\n\t\t\t\t\tcase 'date-style':\n\t\t\t\t\t\ttag = parsexmltag(Rn[0], false);\n\t\t\t\t\t\tNF += number_formats[Rn[3]][tag.style==='long'?1:0]; break;\n\t\t\t\t} break;\n\n\t\t\tcase 'boolean-style': break; // 16.27.23 \n\t\t\tcase 'boolean': break; // 16.27.24 \n\t\t\tcase 'text-style': break; // 16.27.25 \n\t\t\tcase 'text': // 16.27.26 \n\t\t\t\tif(Rn[0].slice(-2) === \"/>\") break;\n\t\t\t\telse if(Rn[1]===\"/\") switch(state[state.length-1][0]) {\n\t\t\t\t\tcase 'number-style':\n\t\t\t\t\tcase 'date-style':\n\t\t\t\t\tcase 'time-style':\n\t\t\t\t\t\tNF += str.slice(pidx, Rn.index);\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\telse pidx = Rn.index + Rn[0].length;\n\t\t\t\tbreak;\n\n\t\t\tcase 'named-range': // 9.4.12 \n\t\t\t\ttag = parsexmltag(Rn[0], false);\n\t\t\t\t_Ref = ods_to_csf_3D(tag['cell-range-address']);\n\t\t\t\tvar nrange = ({Name:tag.name, Ref:_Ref[0] + '!' + _Ref[1]});\n\t\t\t\tif(intable) nrange.Sheet = SheetNames.length;\n\t\t\t\tWB.Names.push(nrange);\n\t\t\t\tbreak;\n\n\t\t\tcase 'text-content': break; // 16.27.27 \n\t\t\tcase 'text-properties': break; // 16.27.27 \n\t\t\tcase 'embedded-text': break; // 16.27.4 \n\n\t\t\tcase 'body': case '电子表格': break; // 3.3 16.9.6 19.726.3\n\n\t\t\tcase 'forms': break; // 12.25.2 13.2\n\t\t\tcase 'table-column': break; // 9.1.6 \n\t\t\tcase 'table-header-rows': break; // 9.1.7 \n\t\t\tcase 'table-rows': break; // 9.1.12 \n\t\t\t/* TODO: outline levels */\n\t\t\tcase 'table-column-group': break; // 9.1.10 \n\t\t\tcase 'table-header-columns': break; // 9.1.11 \n\t\t\tcase 'table-columns': break; // 9.1.12 \n\n\t\t\tcase 'null-date': break; // 9.4.2 TODO: date1904\n\n\t\t\tcase 'graphic-properties': break; // 17.21 \n\t\t\tcase 'calculation-settings': break; // 9.4.1 \n\t\t\tcase 'named-expressions': break; // 9.4.11 \n\t\t\tcase 'label-range': break; // 9.4.9 \n\t\t\tcase 'label-ranges': break; // 9.4.10 \n\t\t\tcase 'named-expression': break; // 9.4.13 \n\t\t\tcase 'sort': break; // 9.4.19 \n\t\t\tcase 'sort-by': break; // 9.4.20 \n\t\t\tcase 'sort-groups': break; // 9.4.22 \n\n\t\t\tcase 'tab': break; // 6.1.4 \n\t\t\tcase 'line-break': break; // 6.1.5 \n\t\t\tcase 'span': break; // 6.1.7 \n\t\t\tcase 'p': case '文本串': // 5.1.3 \n\t\t\t\tif(['master-styles'].indexOf(state[state.length-1][0]) > -1) break;\n\t\t\t\tif(Rn[1]==='/' && (!ctag || !ctag['string-value'])) {\n\t\t\t\t\tvar ptp = parse_text_p(str.slice(textpidx,Rn.index), textptag);\n\t\t\t\t\ttextp = (textp.length > 0 ? textp + \"\\n\" : \"\") + ptp[0];\n\t\t\t\t} else { textptag = parsexmltag(Rn[0], false); textpidx = Rn.index + Rn[0].length; }\n\t\t\t\tbreak; // \n\t\t\tcase 's': break; // \n\n\t\t\tcase 'database-range': // 9.4.15 \n\t\t\t\tif(Rn[1]==='/') break;\n\t\t\t\ttry {\n\t\t\t\t\t_Ref = ods_to_csf_3D(parsexmltag(Rn[0])['target-range-address']);\n\t\t\t\t\tSheets[_Ref[0]]['!autofilter'] = { ref:_Ref[1] };\n\t\t\t\t} catch(e) {/* empty */}\n\t\t\t\tbreak;\n\n\t\t\tcase 'date': break; // <*:date>\n\n\t\t\tcase 'object': break; // 10.4.6.2 \n\t\t\tcase 'title': case '标题': break; // <*:title> OR \n\t\t\tcase 'desc': break; // <*:desc>\n\t\t\tcase 'binary-data': break; // 10.4.5 TODO: b64 blob\n\n\t\t\t/* 9.2 Advanced Tables */\n\t\t\tcase 'table-source': break; // 9.2.6\n\t\t\tcase 'scenario': break; // 9.2.6\n\n\t\t\tcase 'iteration': break; // 9.4.3 \n\t\t\tcase 'content-validations': break; // 9.4.4 \n\t\t\tcase 'filter': break; // 9.5.2 \n\t\t\tcase 'filter-and': break; // 9.5.3 \n\t\t\tcase 'filter-or': break; // 9.5.4 \n\t\t\tcase 'filter-condition': break; // 9.5.5 \n\n\t\t\tcase 'list-level-style-bullet': break; // 16.31 \n\t\t\tcase 'page-count': break; // TODO \n\t\t\tcase 'time': break; // TODO \n\n\t\t\t/* 9.3 Advanced Table Cells */\n\t\t\tcase 'cell-range-source': break; // 9.3.1 \n\t\t\tcase 'property': break; // 13.8 \n\n\t\t\tcase 'a': // 6.1.8 hyperlink\n\t\t\t\tif(Rn[1]!== '/') {\n\t\t\t\t\tatag = parsexmltag(Rn[0], false);\n\t\t\t\t\tif(!atag.href) break;\n\t\t\t\t\tatag.Target = atag.href; delete atag.href;\n\t\t\t\t\tif(atag.Target.charAt(0) == \"#\" && atag.Target.indexOf(\".\") > -1) {\n\t\t\t\t\t\t_Ref = ods_to_csf_3D(atag.Target.slice(1));\n\t\t\t\t\t\tatag.Target = \"#\" + _Ref[0] + \"!\" + _Ref[1];\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\t/* non-standard */\n\t\t\tcase 'table-protection': break;\n\t\t\tcase 'data-pilot-grand-total': break; // ';\n\treturn function wso() {\n\t\treturn XML_HEADER + payload;\n\t};\n})();\nvar write_content_ods = (function() {\n\t/* 6.1.2 White Space Characters */\n\tvar write_text_p = function(text) {\n\t\treturn escapexml(text)\n\t\t\t.replace(/ +/g, function($$){return '';})\n\t\t\t.replace(/\\t/g, \"\")\n\t\t\t.replace(/\\n/g, \"\")\n\t\t\t.replace(/^ /, \"\").replace(/ $/, \"\");\n\t};\n\n\tvar null_cell_xml = ' \\n';\n\tvar covered_cell_xml = ' \\n';\n\tvar write_ws = function(ws, wb, i) {\n\t\t/* Section 9 Tables */\n\t\tvar o = [];\n\t\to.push(' \\n');\n\t\tvar R=0,C=0, range = decode_range(ws['!ref']);\n\t\tvar marr = ws['!merges'] || [], mi = 0;\n\t\tvar dense = Array.isArray(ws);\n\t\tfor(R = 0; R < range.s.r; ++R) o.push(' \\n');\n\t\tfor(; R <= range.e.r; ++R) {\n\t\t\to.push(' \\n');\n\t\t\tfor(C=0; C < range.s.c; ++C) o.push(null_cell_xml);\n\t\t\tfor(; C <= range.e.c; ++C) {\n\t\t\t\tvar skip = false, ct = {}, textp = \"\";\n\t\t\t\tfor(mi = 0; mi != marr.length; ++mi) {\n\t\t\t\t\tif(marr[mi].s.c > C) continue;\n\t\t\t\t\tif(marr[mi].s.r > R) continue;\n\t\t\t\t\tif(marr[mi].e.c < C) continue;\n\t\t\t\t\tif(marr[mi].e.r < R) continue;\n\t\t\t\t\tif(marr[mi].s.c != C || marr[mi].s.r != R) skip = true;\n\t\t\t\t\tct['table:number-columns-spanned'] = (marr[mi].e.c - marr[mi].s.c + 1);\n\t\t\t\t\tct['table:number-rows-spanned'] = (marr[mi].e.r - marr[mi].s.r + 1);\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(skip) { o.push(covered_cell_xml); continue; }\n\t\t\t\tvar ref = encode_cell({r:R, c:C}), cell = dense ? (ws[R]||[])[C]: ws[ref];\n\t\t\t\tif(cell && cell.f) {\n\t\t\t\t\tct['table:formula'] = escapexml(csf_to_ods_formula(cell.f));\n\t\t\t\t\tif(cell.F) {\n\t\t\t\t\t\tif(cell.F.slice(0, ref.length) == ref) {\n\t\t\t\t\t\t\tvar _Fref = decode_range(cell.F);\n\t\t\t\t\t\t\tct['table:number-matrix-columns-spanned'] = (_Fref.e.c - _Fref.s.c + 1);\n\t\t\t\t\t\t\tct['table:number-matrix-rows-spanned'] = (_Fref.e.r - _Fref.s.r + 1);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(!cell) { o.push(null_cell_xml); continue; }\n\t\t\t\tswitch(cell.t) {\n\t\t\t\t\tcase 'b':\n\t\t\t\t\t\ttextp = (cell.v ? 'TRUE' : 'FALSE');\n\t\t\t\t\t\tct['office:value-type'] = \"boolean\";\n\t\t\t\t\t\tct['office:boolean-value'] = (cell.v ? 'true' : 'false');\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'n':\n\t\t\t\t\t\ttextp = (cell.w||String(cell.v||0));\n\t\t\t\t\t\tct['office:value-type'] = \"float\";\n\t\t\t\t\t\tct['office:value'] = (cell.v||0);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 's': case 'str':\n\t\t\t\t\t\ttextp = cell.v == null ? \"\" : cell.v;\n\t\t\t\t\t\tct['office:value-type'] = \"string\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'd':\n\t\t\t\t\t\ttextp = (cell.w||(parseDate(cell.v).toISOString()));\n\t\t\t\t\t\tct['office:value-type'] = \"date\";\n\t\t\t\t\t\tct['office:date-value'] = (parseDate(cell.v).toISOString());\n\t\t\t\t\t\tct['table:style-name'] = \"ce1\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t//case 'e':\n\t\t\t\t\tdefault: o.push(null_cell_xml); continue;\n\t\t\t\t}\n\t\t\t\tvar text_p = write_text_p(textp);\n\t\t\t\tif(cell.l && cell.l.Target) {\n\t\t\t\t\tvar _tgt = cell.l.Target; _tgt = _tgt.charAt(0) == \"#\" ? \"#\" + csf_to_ods_3D(_tgt.slice(1)) : _tgt;\n\t\t\t\t\ttext_p = writextag('text:a', text_p, {'xlink:href': _tgt});\n\t\t\t\t}\n\t\t\t\to.push(' ' + writextag('table:table-cell', writextag('text:p', text_p, {}), ct) + '\\n');\n\t\t\t}\n\t\t\to.push(' \\n');\n\t\t}\n\t\to.push(' \\n');\n\t\treturn o.join(\"\");\n\t};\n\n\tvar write_automatic_styles_ods = function(o) {\n\t\to.push(' \\n');\n\n\t\to.push(' \\n');\n\t\to.push(' \\n');\n\t\to.push(' /\\n');\n\t\to.push(' \\n');\n\t\to.push(' /\\n');\n\t\to.push(' \\n');\n\t\to.push(' \\n');\n\n\t\t/* table */\n\t\to.push(' \\n'); // style:master-page-name=\"mp1\">\\n');\n\t\to.push(' \\n');\n\t\to.push(' \\n');\n\n\t\t/* table cells, text */\n\t\to.push(' \\n');\n\n\t\t/* page-layout */\n\n\t\to.push(' \\n');\n\t};\n\n\treturn function wcx(wb, opts) {\n\t\tvar o = [XML_HEADER];\n\t\t/* 3.1.3.2 */\n\t\tvar attr = wxt_helper({\n\t\t\t'xmlns:office': \"urn:oasis:names:tc:opendocument:xmlns:office:1.0\",\n\t\t\t'xmlns:table': \"urn:oasis:names:tc:opendocument:xmlns:table:1.0\",\n\t\t\t'xmlns:style': \"urn:oasis:names:tc:opendocument:xmlns:style:1.0\",\n\t\t\t'xmlns:text': \"urn:oasis:names:tc:opendocument:xmlns:text:1.0\",\n\t\t\t'xmlns:draw': \"urn:oasis:names:tc:opendocument:xmlns:drawing:1.0\",\n\t\t\t'xmlns:fo': \"urn:oasis:names:tc:opendocument:xmlns:xsl-fo-compatible:1.0\",\n\t\t\t'xmlns:xlink': \"http://www.w3.org/1999/xlink\",\n\t\t\t'xmlns:dc': \"http://purl.org/dc/elements/1.1/\",\n\t\t\t'xmlns:meta': \"urn:oasis:names:tc:opendocument:xmlns:meta:1.0\",\n\t\t\t'xmlns:number': \"urn:oasis:names:tc:opendocument:xmlns:datastyle:1.0\",\n\t\t\t'xmlns:presentation': \"urn:oasis:names:tc:opendocument:xmlns:presentation:1.0\",\n\t\t\t'xmlns:svg': \"urn:oasis:names:tc:opendocument:xmlns:svg-compatible:1.0\",\n\t\t\t'xmlns:chart': \"urn:oasis:names:tc:opendocument:xmlns:chart:1.0\",\n\t\t\t'xmlns:dr3d': \"urn:oasis:names:tc:opendocument:xmlns:dr3d:1.0\",\n\t\t\t'xmlns:math': \"http://www.w3.org/1998/Math/MathML\",\n\t\t\t'xmlns:form': \"urn:oasis:names:tc:opendocument:xmlns:form:1.0\",\n\t\t\t'xmlns:script': \"urn:oasis:names:tc:opendocument:xmlns:script:1.0\",\n\t\t\t'xmlns:ooo': \"http://openoffice.org/2004/office\",\n\t\t\t'xmlns:ooow': \"http://openoffice.org/2004/writer\",\n\t\t\t'xmlns:oooc': \"http://openoffice.org/2004/calc\",\n\t\t\t'xmlns:dom': \"http://www.w3.org/2001/xml-events\",\n\t\t\t'xmlns:xforms': \"http://www.w3.org/2002/xforms\",\n\t\t\t'xmlns:xsd': \"http://www.w3.org/2001/XMLSchema\",\n\t\t\t'xmlns:xsi': \"http://www.w3.org/2001/XMLSchema-instance\",\n\t\t\t'xmlns:sheet': \"urn:oasis:names:tc:opendocument:sh33tjs:1.0\",\n\t\t\t'xmlns:rpt': \"http://openoffice.org/2005/report\",\n\t\t\t'xmlns:of': \"urn:oasis:names:tc:opendocument:xmlns:of:1.2\",\n\t\t\t'xmlns:xhtml': \"http://www.w3.org/1999/xhtml\",\n\t\t\t'xmlns:grddl': \"http://www.w3.org/2003/g/data-view#\",\n\t\t\t'xmlns:tableooo': \"http://openoffice.org/2009/table\",\n\t\t\t'xmlns:drawooo': \"http://openoffice.org/2010/draw\",\n\t\t\t'xmlns:calcext': \"urn:org:documentfoundation:names:experimental:calc:xmlns:calcext:1.0\",\n\t\t\t'xmlns:loext': \"urn:org:documentfoundation:names:experimental:office:xmlns:loext:1.0\",\n\t\t\t'xmlns:field': \"urn:openoffice:names:experimental:ooo-ms-interop:xmlns:field:1.0\",\n\t\t\t'xmlns:formx': \"urn:openoffice:names:experimental:ooxml-odf-interop:xmlns:form:1.0\",\n\t\t\t'xmlns:css3t': \"http://www.w3.org/TR/css3-text/\",\n\t\t\t'office:version': \"1.2\"\n\t\t});\n\n\t\tvar fods = wxt_helper({\n\t\t\t'xmlns:config': \"urn:oasis:names:tc:opendocument:xmlns:config:1.0\",\n\t\t\t'office:mimetype': \"application/vnd.oasis.opendocument.spreadsheet\"\n\t\t});\n\n\t\tif(opts.bookType == \"fods\") o.push('\\n');\n\t\telse o.push('\\n');\n\t\twrite_automatic_styles_ods(o);\n\t\to.push(' \\n');\n\t\to.push(' \\n');\n\t\tfor(var i = 0; i != wb.SheetNames.length; ++i) o.push(write_ws(wb.Sheets[wb.SheetNames[i]], wb, i, opts));\n\t\to.push(' \\n');\n\t\to.push(' \\n');\n\t\tif(opts.bookType == \"fods\") o.push('');\n\t\telse o.push('');\n\t\treturn o.join(\"\");\n\t};\n})();\n\nfunction write_ods(wb, opts) {\n\tif(opts.bookType == \"fods\") return write_content_ods(wb, opts);\n\nvar zip = zip_new();\n\tvar f = \"\";\n\n\tvar manifest = [];\n\tvar rdf = [];\n\n\t/* Part 3 Section 3.3 MIME Media Type */\n\tf = \"mimetype\";\n\tzip_add_file(zip, f, \"application/vnd.oasis.opendocument.spreadsheet\");\n\n\t/* Part 1 Section 2.2 Documents */\n\tf = \"content.xml\";\n\tzip_add_file(zip, f, write_content_ods(wb, opts));\n\tmanifest.push([f, \"text/xml\"]);\n\trdf.push([f, \"ContentFile\"]);\n\n\t/* TODO: these are hard-coded styles to satiate excel */\n\tf = \"styles.xml\";\n\tzip_add_file(zip, f, write_styles_ods(wb, opts));\n\tmanifest.push([f, \"text/xml\"]);\n\trdf.push([f, \"StylesFile\"]);\n\n\t/* TODO: this is hard-coded to satiate excel */\n\tf = \"meta.xml\";\n\tzip_add_file(zip, f, write_meta_ods());\n\tmanifest.push([f, \"text/xml\"]);\n\trdf.push([f, \"MetadataFile\"]);\n\n\t/* Part 3 Section 6 Metadata Manifest File */\n\tf = \"manifest.rdf\";\n\tzip_add_file(zip, f, write_rdf(rdf/*, opts*/));\n\tmanifest.push([f, \"application/rdf+xml\"]);\n\n\t/* Part 3 Section 4 Manifest File */\n\tf = \"META-INF/manifest.xml\";\n\tzip_add_file(zip, f, write_manifest(manifest/*, opts*/));\n\n\treturn zip;\n}\n\nfunction write_sheet_index(wb, sheet) {\n\tif(!sheet) return 0;\n\tvar idx = wb.SheetNames.indexOf(sheet);\n\tif(idx == -1) throw new Error(\"Sheet not found: \" + sheet);\n\treturn idx;\n}\n\nfunction write_obj_str(factory) {\n\treturn function write_str(wb, o) {\n\t\tvar idx = write_sheet_index(wb, o.sheet);\n\t\treturn factory.from_sheet(wb.Sheets[wb.SheetNames[idx]], o, wb);\n\t};\n}\n\nvar write_htm_str = write_obj_str(HTML_);\nvar write_csv_str = write_obj_str({from_sheet:sheet_to_csv});\nvar write_slk_str = write_obj_str(typeof SYLK !== \"undefined\" ? SYLK : {});\nvar write_dif_str = write_obj_str(typeof DIF !== \"undefined\" ? DIF : {});\nvar write_prn_str = write_obj_str(typeof PRN !== \"undefined\" ? PRN : {});\nvar write_rtf_str = write_obj_str(typeof RTF !== \"undefined\" ? RTF : {});\nvar write_txt_str = write_obj_str({from_sheet:sheet_to_txt});\nvar write_dbf_buf = write_obj_str(typeof DBF !== \"undefined\" ? DBF : {});\nvar write_eth_str = write_obj_str(typeof ETH !== \"undefined\" ? ETH : {});\n\nfunction fix_opts_func(defaults) {\n\treturn function fix_opts(opts) {\n\t\tfor(var i = 0; i != defaults.length; ++i) {\n\t\t\tvar d = defaults[i];\n\t\t\tif(opts[d[0]] === undefined) opts[d[0]] = d[1];\n\t\t\tif(d[2] === 'n') opts[d[0]] = Number(opts[d[0]]);\n\t\t}\n\t};\n}\n\nvar fix_read_opts = function(opts) {\nfix_opts_func([\n\t['cellNF', false], /* emit cell number format string as .z */\n\t['cellHTML', true], /* emit html string as .h */\n\t['cellFormula', true], /* emit formulae as .f */\n\t['cellStyles', false], /* emits style/theme as .s */\n\t['cellText', true], /* emit formatted text as .w */\n\t['cellDates', false], /* emit date cells with type `d` */\n\n\t['sheetStubs', false], /* emit empty cells */\n\t['sheetRows', 0, 'n'], /* read n rows (0 = read all rows) */\n\n\t['bookDeps', false], /* parse calculation chains */\n\t['bookSheets', false], /* only try to get sheet names (no Sheets) */\n\t['bookProps', false], /* only try to get properties (no Sheets) */\n\t['bookFiles', false], /* include raw file structure (keys, files, cfb) */\n\t['bookVBA', false], /* include vba raw data (vbaraw) */\n\n\t['password',''], /* password */\n\t['WTF', false] /* WTF mode (throws errors) */\n])(opts);\n};\n\nvar fix_write_opts = fix_opts_func([\n\t['cellDates', false], /* write date cells with type `d` */\n\n\t['bookSST', false], /* Generate Shared String Table */\n\n\t['bookType', 'xlsx'], /* Type of workbook (xlsx/m/b) */\n\n\t['compression', false], /* Use file compression */\n\n\t['WTF', false] /* WTF mode (throws errors) */\n]);\nfunction get_sheet_type(n) {\n\tif(RELS.WS.indexOf(n) > -1) return \"sheet\";\n\tif(RELS.CS && n == RELS.CS) return \"chart\";\n\tif(RELS.DS && n == RELS.DS) return \"dialog\";\n\tif(RELS.MS && n == RELS.MS) return \"macro\";\n\treturn (n && n.length) ? n : \"sheet\";\n}\nfunction safe_parse_wbrels(wbrels, sheets) {\n\tif(!wbrels) return 0;\n\ttry {\n\t\twbrels = sheets.map(function pwbr(w) { if(!w.id) w.id = w.strRelID; return [w.name, wbrels['!id'][w.id].Target, get_sheet_type(wbrels['!id'][w.id].Type)]; });\n\t} catch(e) { return null; }\n\treturn !wbrels || wbrels.length === 0 ? null : wbrels;\n}\n\nfunction safe_parse_sheet(zip, path, relsPath, sheet, idx, sheetRels, sheets, stype, opts, wb, themes, styles) {\n\ttry {\n\t\tsheetRels[sheet]=parse_rels(getzipstr(zip, relsPath, true), path);\n\t\tvar data = getzipdata(zip, path);\n\t\tvar _ws;\n\t\tswitch(stype) {\n\t\t\tcase 'sheet': _ws = parse_ws(data, path, idx, opts, sheetRels[sheet], wb, themes, styles); break;\n\t\t\tcase 'chart': _ws = parse_cs(data, path, idx, opts, sheetRels[sheet], wb, themes, styles);\n\t\t\t\tif(!_ws || !_ws['!drawel']) break;\n\t\t\t\tvar dfile = resolve_path(_ws['!drawel'].Target, path);\n\t\t\t\tvar drelsp = get_rels_path(dfile);\n\t\t\t\tvar draw = parse_drawing(getzipstr(zip, dfile, true), parse_rels(getzipstr(zip, drelsp, true), dfile));\n\t\t\t\tvar chartp = resolve_path(draw, dfile);\n\t\t\t\tvar crelsp = get_rels_path(chartp);\n\t\t\t\t_ws = parse_chart(getzipstr(zip, chartp, true), chartp, opts, parse_rels(getzipstr(zip, crelsp, true), chartp), wb, _ws);\n\t\t\t\tbreak;\n\t\t\tcase 'macro': _ws = parse_ms(data, path, idx, opts, sheetRels[sheet], wb, themes, styles); break;\n\t\t\tcase 'dialog': _ws = parse_ds(data, path, idx, opts, sheetRels[sheet], wb, themes, styles); break;\n\t\t\tdefault: throw new Error(\"Unrecognized sheet type \" + stype);\n\t\t}\n\t\tsheets[sheet] = _ws;\n\n\t\t/* scan rels for comments */\n\t\tvar comments = [];\n\t\tif(sheetRels && sheetRels[sheet]) keys(sheetRels[sheet]).forEach(function(n) {\n\t\t\tif(sheetRels[sheet][n].Type == RELS.CMNT) {\n\t\t\t\tvar dfile = resolve_path(sheetRels[sheet][n].Target, path);\n\t\t\t\tcomments = parse_cmnt(getzipdata(zip, dfile, true), dfile, opts);\n\t\t\t\tif(!comments || !comments.length) return;\n\t\t\t\tsheet_insert_comments(_ws, comments);\n\t\t\t}\n\t\t});\n\t} catch(e) { if(opts.WTF) throw e; }\n}\n\nfunction strip_front_slash(x) { return x.charAt(0) == '/' ? x.slice(1) : x; }\n\nfunction parse_zip(zip, opts) {\n\tmake_ssf(SSF);\n\topts = opts || {};\n\tfix_read_opts(opts);\n\n\t/* OpenDocument Part 3 Section 2.2.1 OpenDocument Package */\n\tif(safegetzipfile(zip, 'META-INF/manifest.xml')) return parse_ods(zip, opts);\n\t/* UOC */\n\tif(safegetzipfile(zip, 'objectdata.xml')) return parse_ods(zip, opts);\n\t/* Numbers */\n\tif(safegetzipfile(zip, 'Index/Document.iwa')) throw new Error('Unsupported NUMBERS file');\n\n\tvar entries = zipentries(zip);\n\tvar dir = parse_ct((getzipstr(zip, '[Content_Types].xml')));\n\tvar xlsb = false;\n\tvar sheets, binname;\n\tif(dir.workbooks.length === 0) {\n\t\tbinname = \"xl/workbook.xml\";\n\t\tif(getzipdata(zip,binname, true)) dir.workbooks.push(binname);\n\t}\n\tif(dir.workbooks.length === 0) {\n\t\tbinname = \"xl/workbook.bin\";\n\t\tif(!getzipdata(zip,binname,true)) throw new Error(\"Could not find workbook\");\n\t\tdir.workbooks.push(binname);\n\t\txlsb = true;\n\t}\n\tif(dir.workbooks[0].slice(-3) == \"bin\") xlsb = true;\n\n\tvar themes = ({});\n\tvar styles = ({});\n\tif(!opts.bookSheets && !opts.bookProps) {\n\t\tstrs = [];\n\t\tif(dir.sst) try { strs=parse_sst(getzipdata(zip, strip_front_slash(dir.sst)), dir.sst, opts); } catch(e) { if(opts.WTF) throw e; }\n\n\t\tif(opts.cellStyles && dir.themes.length) themes = parse_theme(getzipstr(zip, dir.themes[0].replace(/^\\//,''), true)||\"\",dir.themes[0], opts);\n\n\t\tif(dir.style) styles = parse_sty(getzipdata(zip, strip_front_slash(dir.style)), dir.style, themes, opts);\n\t}\n\n\t/*var externbooks = */dir.links.map(function(link) {\n\t\ttry {\n\t\t\tvar rels = parse_rels(getzipstr(zip, get_rels_path(strip_front_slash(link))), link);\n\t\t\treturn parse_xlink(getzipdata(zip, strip_front_slash(link)), rels, link, opts);\n\t\t} catch(e) {}\n\t});\n\n\tvar wb = parse_wb(getzipdata(zip, strip_front_slash(dir.workbooks[0])), dir.workbooks[0], opts);\n\n\tvar props = {}, propdata = \"\";\n\n\tif(dir.coreprops.length) {\n\t\tpropdata = getzipdata(zip, strip_front_slash(dir.coreprops[0]), true);\n\t\tif(propdata) props = parse_core_props(propdata);\n\t\tif(dir.extprops.length !== 0) {\n\t\t\tpropdata = getzipdata(zip, strip_front_slash(dir.extprops[0]), true);\n\t\t\tif(propdata) parse_ext_props(propdata, props, opts);\n\t\t}\n\t}\n\n\tvar custprops = {};\n\tif(!opts.bookSheets || opts.bookProps) {\n\t\tif (dir.custprops.length !== 0) {\n\t\t\tpropdata = getzipstr(zip, strip_front_slash(dir.custprops[0]), true);\n\t\t\tif(propdata) custprops = parse_cust_props(propdata, opts);\n\t\t}\n\t}\n\n\tvar out = ({});\n\tif(opts.bookSheets || opts.bookProps) {\n\t\tif(wb.Sheets) sheets = wb.Sheets.map(function pluck(x){ return x.name; });\n\t\telse if(props.Worksheets && props.SheetNames.length > 0) sheets=props.SheetNames;\n\t\tif(opts.bookProps) { out.Props = props; out.Custprops = custprops; }\n\t\tif(opts.bookSheets && typeof sheets !== 'undefined') out.SheetNames = sheets;\n\t\tif(opts.bookSheets ? out.SheetNames : opts.bookProps) return out;\n\t}\n\tsheets = {};\n\n\tvar deps = {};\n\tif(opts.bookDeps && dir.calcchain) deps=parse_cc(getzipdata(zip, strip_front_slash(dir.calcchain)),dir.calcchain,opts);\n\n\tvar i=0;\n\tvar sheetRels = ({});\n\tvar path, relsPath;\n\n\t{\n\t\tvar wbsheets = wb.Sheets;\n\t\tprops.Worksheets = wbsheets.length;\n\t\tprops.SheetNames = [];\n\t\tfor(var j = 0; j != wbsheets.length; ++j) {\n\t\t\tprops.SheetNames[j] = wbsheets[j].name;\n\t\t}\n\t}\n\n\tvar wbext = xlsb ? \"bin\" : \"xml\";\n\tvar wbrelsi = dir.workbooks[0].lastIndexOf(\"/\");\n\tvar wbrelsfile = (dir.workbooks[0].slice(0, wbrelsi+1) + \"_rels/\" + dir.workbooks[0].slice(wbrelsi+1) + \".rels\").replace(/^\\//,\"\");\n\tif(!safegetzipfile(zip, wbrelsfile)) wbrelsfile = 'xl/_rels/workbook.' + wbext + '.rels';\n\tvar wbrels = parse_rels(getzipstr(zip, wbrelsfile, true), wbrelsfile);\n\tif(wbrels) wbrels = safe_parse_wbrels(wbrels, wb.Sheets);\n\n\t/* Numbers iOS hack */\n\tvar nmode = (getzipdata(zip,\"xl/worksheets/sheet.xml\",true))?1:0;\n\twsloop: for(i = 0; i != props.Worksheets; ++i) {\n\t\tvar stype = \"sheet\";\n\t\tif(wbrels && wbrels[i]) {\n\t\t\tpath = 'xl/' + (wbrels[i][1]).replace(/[\\/]?xl\\//, \"\");\n\t\t\tif(!safegetzipfile(zip, path)) path = wbrels[i][1];\n\t\t\tif(!safegetzipfile(zip, path)) path = wbrelsfile.replace(/_rels\\/.*$/,\"\") + wbrels[i][1];\n\t\t\tstype = wbrels[i][2];\n\t\t} else {\n\t\t\tpath = 'xl/worksheets/sheet'+(i+1-nmode)+\".\" + wbext;\n\t\t\tpath = path.replace(/sheet0\\./,\"sheet.\");\n\t\t}\n\t\trelsPath = path.replace(/^(.*)(\\/)([^\\/]*)$/, \"$1/_rels/$3.rels\");\n\t\tif(opts && opts.sheets != null) switch(typeof opts.sheets) {\n\t\t\tcase \"number\": if(i != opts.sheets) continue wsloop; break;\n\t\t\tcase \"string\": if(props.SheetNames[i].toLowerCase() != opts.sheets.toLowerCase()) continue wsloop; break;\n\t\t\tdefault: if(Array.isArray && Array.isArray(opts.sheets)) {\n\t\t\t\tvar snjseen = false;\n\t\t\t\tfor(var snj = 0; snj != opts.sheets.length; ++snj) {\n\t\t\t\t\tif(typeof opts.sheets[snj] == \"number\" && opts.sheets[snj] == i) snjseen=1;\n\t\t\t\t\tif(typeof opts.sheets[snj] == \"string\" && opts.sheets[snj].toLowerCase() == props.SheetNames[i].toLowerCase()) snjseen = 1;\n\t\t\t\t}\n\t\t\t\tif(!snjseen) continue wsloop;\n\t\t\t}\n\t\t}\n\t\tsafe_parse_sheet(zip, path, relsPath, props.SheetNames[i], i, sheetRels, sheets, stype, opts, wb, themes, styles);\n\t}\n\n\tout = ({\n\t\tDirectory: dir,\n\t\tWorkbook: wb,\n\t\tProps: props,\n\t\tCustprops: custprops,\n\t\tDeps: deps,\n\t\tSheets: sheets,\n\t\tSheetNames: props.SheetNames,\n\t\tStrings: strs,\n\t\tStyles: styles,\n\t\tThemes: themes,\n\t\tSSF: SSF.get_table()\n\t});\n\tif(opts && opts.bookFiles) {\n\t\tout.keys = entries;\n\t\tout.files = zip.files;\n\t}\n\tif(opts && opts.bookVBA) {\n\t\tif(dir.vba.length > 0) out.vbaraw = getzipdata(zip,strip_front_slash(dir.vba[0]),true);\n\t\telse if(dir.defaults && dir.defaults.bin === CT_VBA) out.vbaraw = getzipdata(zip, 'xl/vbaProject.bin',true);\n\t}\n\treturn out;\n}\n\n/* [MS-OFFCRYPTO] 2.1.1 */\nfunction parse_xlsxcfb(cfb, _opts) {\n\tvar opts = _opts || {};\n\tvar f = 'Workbook', data = CFB.find(cfb, f);\n\ttry {\n\tf = '/!DataSpaces/Version';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\t/*var version = */parse_DataSpaceVersionInfo(data.content);\n\n\t/* 2.3.4.1 */\n\tf = '/!DataSpaces/DataSpaceMap';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\tvar dsm = parse_DataSpaceMap(data.content);\n\tif(dsm.length !== 1 || dsm[0].comps.length !== 1 || dsm[0].comps[0].t !== 0 || dsm[0].name !== \"StrongEncryptionDataSpace\" || dsm[0].comps[0].v !== \"EncryptedPackage\")\n\t\tthrow new Error(\"ECMA-376 Encrypted file bad \" + f);\n\n\t/* 2.3.4.2 */\n\tf = '/!DataSpaces/DataSpaceInfo/StrongEncryptionDataSpace';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\tvar seds = parse_DataSpaceDefinition(data.content);\n\tif(seds.length != 1 || seds[0] != \"StrongEncryptionTransform\")\n\t\tthrow new Error(\"ECMA-376 Encrypted file bad \" + f);\n\n\t/* 2.3.4.3 */\n\tf = '/!DataSpaces/TransformInfo/StrongEncryptionTransform/!Primary';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\t/*var hdr = */parse_Primary(data.content);\n\t} catch(e) {}\n\n\tf = '/EncryptionInfo';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\tvar einfo = parse_EncryptionInfo(data.content);\n\n\t/* 2.3.4.4 */\n\tf = '/EncryptedPackage';\n\tdata = CFB.find(cfb, f); if(!data || !data.content) throw new Error(\"ECMA-376 Encrypted file missing \" + f);\n\n/*global decrypt_agile */\nif(einfo[0] == 0x04 && typeof decrypt_agile !== 'undefined') return decrypt_agile(einfo[1], data.content, opts.password || \"\", opts);\n/*global decrypt_std76 */\nif(einfo[0] == 0x02 && typeof decrypt_std76 !== 'undefined') return decrypt_std76(einfo[1], data.content, opts.password || \"\", opts);\n\tthrow new Error(\"File is password-protected\");\n}\n\nfunction write_zip(wb, opts) {\n\t_shapeid = 1024;\n\tif(opts.bookType == \"ods\") return write_ods(wb, opts);\n\tif(wb && !wb.SSF) {\n\t\twb.SSF = SSF.get_table();\n\t}\n\tif(wb && wb.SSF) {\n\t\tmake_ssf(SSF); SSF.load_table(wb.SSF);\n\t\t// $FlowIgnore\n\t\topts.revssf = evert_num(wb.SSF); opts.revssf[wb.SSF[65535]] = 0;\n\t\topts.ssf = wb.SSF;\n\t}\n\topts.rels = {}; opts.wbrels = {};\n\topts.Strings = []; opts.Strings.Count = 0; opts.Strings.Unique = 0;\n\tif(browser_has_Map) opts.revStrings = new Map();\n\telse { opts.revStrings = {}; opts.revStrings.foo = []; delete opts.revStrings.foo; }\n\tvar wbext = opts.bookType == \"xlsb\" ? \"bin\" : \"xml\";\n\tvar vbafmt = VBAFMTS.indexOf(opts.bookType) > -1;\n\tvar ct = new_ct();\n\tfix_write_opts(opts = opts || {});\nvar zip = zip_new();\n\tvar f = \"\", rId = 0;\n\n\topts.cellXfs = [];\n\tget_cell_style(opts.cellXfs, {}, {revssf:{\"General\":0}});\n\n\tif(!wb.Props) wb.Props = {};\n\n\tf = \"docProps/core.xml\";\n\tzip_add_file(zip, f, write_core_props(wb.Props, opts));\n\tct.coreprops.push(f);\n\tadd_rels(opts.rels, 2, f, RELS.CORE_PROPS);\n\nf = \"docProps/app.xml\";\n\tif(wb.Props && wb.Props.SheetNames){/* empty */}\n\telse if(!wb.Workbook || !wb.Workbook.Sheets) wb.Props.SheetNames = wb.SheetNames;\n\telse {\n\t\tvar _sn = [];\n\t\tfor(var _i = 0; _i < wb.SheetNames.length; ++_i)\n\t\t\tif((wb.Workbook.Sheets[_i]||{}).Hidden != 2) _sn.push(wb.SheetNames[_i]);\n\t\twb.Props.SheetNames = _sn;\n\t}\n\twb.Props.Worksheets = wb.Props.SheetNames.length;\n\tzip_add_file(zip, f, write_ext_props(wb.Props, opts));\n\tct.extprops.push(f);\n\tadd_rels(opts.rels, 3, f, RELS.EXT_PROPS);\n\n\tif(wb.Custprops !== wb.Props && keys(wb.Custprops||{}).length > 0) {\n\t\tf = \"docProps/custom.xml\";\n\t\tzip_add_file(zip, f, write_cust_props(wb.Custprops, opts));\n\t\tct.custprops.push(f);\n\t\tadd_rels(opts.rels, 4, f, RELS.CUST_PROPS);\n\t}\n\n\tfor(rId=1;rId <= wb.SheetNames.length; ++rId) {\n\t\tvar wsrels = {'!id':{}};\n\t\tvar ws = wb.Sheets[wb.SheetNames[rId-1]];\n\t\tvar _type = (ws || {})[\"!type\"] || \"sheet\";\n\t\tswitch(_type) {\n\t\tcase \"chart\":\n\t\t\t/* falls through */\n\t\tdefault:\n\t\t\tf = \"xl/worksheets/sheet\" + rId + \".\" + wbext;\n\t\t\tzip_add_file(zip, f, write_ws(rId-1, f, opts, wb, wsrels));\n\t\t\tct.sheets.push(f);\n\t\t\tadd_rels(opts.wbrels, -1, \"worksheets/sheet\" + rId + \".\" + wbext, RELS.WS[0]);\n\t\t}\n\n\t\tif(ws) {\n\t\t\tvar comments = ws['!comments'];\n\t\t\tvar need_vml = false;\n\t\t\tif(comments && comments.length > 0) {\n\t\t\t\tvar cf = \"xl/comments\" + rId + \".\" + wbext;\n\t\t\t\tzip_add_file(zip, cf, write_cmnt(comments, cf, opts));\n\t\t\t\tct.comments.push(cf);\n\t\t\t\tadd_rels(wsrels, -1, \"../comments\" + rId + \".\" + wbext, RELS.CMNT);\n\t\t\t\tneed_vml = true;\n\t\t\t}\n\t\t\tif(ws['!legacy']) {\n\t\t\t\tif(need_vml) zip_add_file(zip, \"xl/drawings/vmlDrawing\" + (rId) + \".vml\", write_comments_vml(rId, ws['!comments']));\n\t\t\t}\n\t\t\tdelete ws['!comments'];\n\t\t\tdelete ws['!legacy'];\n\t\t}\n\n\t\tif(wsrels['!id'].rId1) zip_add_file(zip, get_rels_path(f), write_rels(wsrels));\n\t}\n\n\tif(opts.Strings != null && opts.Strings.length > 0) {\n\t\tf = \"xl/sharedStrings.\" + wbext;\n\t\tzip_add_file(zip, f, write_sst(opts.Strings, f, opts));\n\t\tct.strs.push(f);\n\t\tadd_rels(opts.wbrels, -1, \"sharedStrings.\" + wbext, RELS.SST);\n\t}\n\n\tf = \"xl/workbook.\" + wbext;\n\tzip_add_file(zip, f, write_wb(wb, f, opts));\n\tct.workbooks.push(f);\n\tadd_rels(opts.rels, 1, f, RELS.WB);\n\n\t/* TODO: something more intelligent with themes */\n\n\tf = \"xl/theme/theme1.xml\";\n\tzip_add_file(zip, f, write_theme(wb.Themes, opts));\n\tct.themes.push(f);\n\tadd_rels(opts.wbrels, -1, \"theme/theme1.xml\", RELS.THEME);\n\n\t/* TODO: something more intelligent with styles */\n\n\tf = \"xl/styles.\" + wbext;\n\tzip_add_file(zip, f, write_sty(wb, f, opts));\n\tct.styles.push(f);\n\tadd_rels(opts.wbrels, -1, \"styles.\" + wbext, RELS.STY);\n\n\tif(wb.vbaraw && vbafmt) {\n\t\tf = \"xl/vbaProject.bin\";\n\t\tzip_add_file(zip, f, wb.vbaraw);\n\t\tct.vba.push(f);\n\t\tadd_rels(opts.wbrels, -1, \"vbaProject.bin\", RELS.VBA);\n\t}\n\n\tzip_add_file(zip, \"[Content_Types].xml\", write_ct(ct, opts));\n\tzip_add_file(zip, '_rels/.rels', write_rels(opts.rels));\n\tzip_add_file(zip, 'xl/_rels/workbook.' + wbext + '.rels', write_rels(opts.wbrels));\n\n\tdelete opts.revssf; delete opts.ssf;\n\treturn zip;\n}\nfunction firstbyte(f,o) {\n\tvar x = \"\";\n\tswitch((o||{}).type || \"base64\") {\n\t\tcase 'buffer': return [f[0], f[1], f[2], f[3], f[4], f[5], f[6], f[7]];\n\t\tcase 'base64': x = Base64.decode(f.slice(0,12)); break;\n\t\tcase 'binary': x = f; break;\n\t\tcase 'array': return [f[0], f[1], f[2], f[3], f[4], f[5], f[6], f[7]];\n\t\tdefault: throw new Error(\"Unrecognized type \" + (o && o.type || \"undefined\"));\n\t}\n\treturn [x.charCodeAt(0), x.charCodeAt(1), x.charCodeAt(2), x.charCodeAt(3), x.charCodeAt(4), x.charCodeAt(5), x.charCodeAt(6), x.charCodeAt(7)];\n}\n\nfunction read_cfb(cfb, opts) {\n\tif(CFB.find(cfb, \"EncryptedPackage\")) return parse_xlsxcfb(cfb, opts);\n\treturn parse_xlscfb(cfb, opts);\n}\n\nfunction read_zip(data, opts) {\nvar zip, d = data;\n\tvar o = opts||{};\n\tif(!o.type) o.type = (has_buf && Buffer.isBuffer(data)) ? \"buffer\" : \"base64\";\n\tzip = zip_read(d, o);\n\treturn parse_zip(zip, o);\n}\n\nfunction read_plaintext(data, o) {\n\tvar i = 0;\n\tmain: while(i < data.length) switch(data.charCodeAt(i)) {\n\t\tcase 0x0A: case 0x0D: case 0x20: ++i; break;\n\t\tcase 0x3C: return parse_xlml(data.slice(i),o);\n\t\tdefault: break main;\n\t}\n\treturn PRN.to_workbook(data, o);\n}\n\nfunction read_plaintext_raw(data, o) {\n\tvar str = \"\", bytes = firstbyte(data, o);\n\tswitch(o.type) {\n\t\tcase 'base64': str = Base64.decode(data); break;\n\t\tcase 'binary': str = data; break;\n\t\tcase 'buffer': str = data.toString('binary'); break;\n\t\tcase 'array': str = cc2str(data); break;\n\t\tdefault: throw new Error(\"Unrecognized type \" + o.type);\n\t}\n\tif(bytes[0] == 0xEF && bytes[1] == 0xBB && bytes[2] == 0xBF) str = utf8read(str);\n\treturn read_plaintext(str, o);\n}\n\nfunction read_utf16(data, o) {\n\tvar d = data;\n\tif(o.type == 'base64') d = Base64.decode(d);\n\td = cptable.utils.decode(1200, d.slice(2), 'str');\n\to.type = \"binary\";\n\treturn read_plaintext(d, o);\n}\n\nfunction bstrify(data) {\n\treturn !data.match(/[^\\x00-\\x7F]/) ? data : utf8write(data);\n}\n\nfunction read_prn(data, d, o, str) {\n\tif(str) { o.type = \"string\"; return PRN.to_workbook(data, o); }\n\treturn PRN.to_workbook(d, o);\n}\n\nfunction readSync(data, opts) {\n\treset_cp();\n\tif(typeof ArrayBuffer !== 'undefined' && data instanceof ArrayBuffer) return readSync(new Uint8Array(data), opts);\n\tvar d = data, n = [0,0,0,0], str = false;\n\tvar o = opts||{};\n\tif(o.cellStyles) { o.cellNF = true; o.sheetStubs = true; }\n\t_ssfopts = {};\n\tif(o.dateNF) _ssfopts.dateNF = o.dateNF;\n\tif(!o.type) o.type = (has_buf && Buffer.isBuffer(data)) ? \"buffer\" : \"base64\";\n\tif(o.type == \"file\") { o.type = has_buf ? \"buffer\" : \"binary\"; d = read_binary(data); }\n\tif(o.type == \"string\") { str = true; o.type = \"binary\"; o.codepage = 65001; d = bstrify(data); }\n\tif(o.type == 'array' && typeof Uint8Array !== 'undefined' && data instanceof Uint8Array && typeof ArrayBuffer !== 'undefined') {\n\t\t// $FlowIgnore\n\t\tvar ab=new ArrayBuffer(3), vu=new Uint8Array(ab); vu.foo=\"bar\";\n\t\t// $FlowIgnore\n\t\tif(!vu.foo) {o=dup(o); o.type='array'; return readSync(ab2a(d), o);}\n\t}\n\tswitch((n = firstbyte(d, o))[0]) {\n\t\tcase 0xD0: if(n[1] === 0xCF && n[2] === 0x11 && n[3] === 0xE0 && n[4] === 0xA1 && n[5] === 0xB1 && n[6] === 0x1A && n[7] === 0xE1) return read_cfb(CFB.read(d, o), o); break;\n\t\tcase 0x09: if(n[1] <= 0x04) return parse_xlscfb(d, o); break;\n\t\tcase 0x3C: return parse_xlml(d, o);\n\t\tcase 0x49: if(n[1] === 0x44) return read_wb_ID(d, o); break;\n\t\tcase 0x54: if(n[1] === 0x41 && n[2] === 0x42 && n[3] === 0x4C) return DIF.to_workbook(d, o); break;\n\t\tcase 0x50: return (n[1] === 0x4B && n[2] < 0x09 && n[3] < 0x09) ? read_zip(d, o) : read_prn(data, d, o, str);\n\t\tcase 0xEF: return n[3] === 0x3C ? parse_xlml(d, o) : read_prn(data, d, o, str);\n\t\tcase 0xFF: if(n[1] === 0xFE) { return read_utf16(d, o); } break;\n\t\tcase 0x00: if(n[1] === 0x00 && n[2] >= 0x02 && n[3] === 0x00) return WK_.to_workbook(d, o); break;\n\t\tcase 0x03: case 0x83: case 0x8B: case 0x8C: return DBF.to_workbook(d, o);\n\t\tcase 0x7B: if(n[1] === 0x5C && n[2] === 0x72 && n[3] === 0x74) return RTF.to_workbook(d, o); break;\n\t\tcase 0x0A: case 0x0D: case 0x20: return read_plaintext_raw(d, o);\n\t}\n\tif(DBF.versions.indexOf(n[0]) > -1 && n[2] <= 12 && n[3] <= 31) return DBF.to_workbook(d, o);\n\treturn read_prn(data, d, o, str);\n}\n\nfunction readFileSync(filename, opts) {\n\tvar o = opts||{}; o.type = 'file';\n\treturn readSync(filename, o);\n}\nfunction write_cfb_ctr(cfb, o) {\n\tswitch(o.type) {\n\t\tcase \"base64\": case \"binary\": break;\n\t\tcase \"buffer\": case \"array\": o.type = \"\"; break;\n\t\tcase \"file\": return write_dl(o.file, CFB.write(cfb, {type:has_buf ? 'buffer' : \"\"}));\n\t\tcase \"string\": throw new Error(\"'string' output type invalid for '\" + o.bookType + \"' files\");\n\t\tdefault: throw new Error(\"Unrecognized type \" + o.type);\n\t}\n\treturn CFB.write(cfb, o);\n}\n\nfunction write_zip_type(wb, opts) {\n\tvar o = opts||{};\n\tvar z = write_zip(wb, o);\n\tvar oopts = {};\n\tif(o.compression) oopts.compression = 'DEFLATE';\n\tif(o.password) oopts.type = has_buf ? \"nodebuffer\" : \"string\";\n\telse switch(o.type) {\n\t\tcase \"base64\": oopts.type = \"base64\"; break;\n\t\tcase \"binary\": oopts.type = \"string\"; break;\n\t\tcase \"string\": throw new Error(\"'string' output type invalid for '\" + o.bookType + \"' files\");\n\t\tcase \"buffer\":\n\t\tcase \"file\": oopts.type = has_buf ? \"nodebuffer\" : \"string\"; break;\n\t\tdefault: throw new Error(\"Unrecognized type \" + o.type);\n\t}\n\tvar out = z.FullPaths ? CFB.write(z, {fileType:\"zip\", type: {\"nodebuffer\": \"buffer\", \"string\": \"binary\"}[oopts.type] || oopts.type}) : z.generate(oopts);\n/*jshint -W083 */\n\tif(o.password && typeof encrypt_agile !== 'undefined') return write_cfb_ctr(encrypt_agile(out, o.password), o); // eslint-disable-line no-undef\n/*jshint +W083 */\n\tif(o.type === \"file\") return write_dl(o.file, out);\n\treturn o.type == \"string\" ? utf8read(out) : out;\n}\n\nfunction write_cfb_type(wb, opts) {\n\tvar o = opts||{};\n\tvar cfb = write_xlscfb(wb, o);\n\treturn write_cfb_ctr(cfb, o);\n}\n\nfunction write_string_type(out, opts, bom) {\n\tif(!bom) bom = \"\";\n\tvar o = bom + out;\n\tswitch(opts.type) {\n\t\tcase \"base64\": return Base64.encode(utf8write(o));\n\t\tcase \"binary\": return utf8write(o);\n\t\tcase \"string\": return out;\n\t\tcase \"file\": return write_dl(opts.file, o, 'utf8');\n\t\tcase \"buffer\": {\n\t\t\tif(has_buf) return Buffer_from(o, 'utf8');\n\t\t\telse return write_string_type(o, {type:'binary'}).split(\"\").map(function(c) { return c.charCodeAt(0); });\n\t\t}\n\t}\n\tthrow new Error(\"Unrecognized type \" + opts.type);\n}\n\nfunction write_stxt_type(out, opts) {\n\tswitch(opts.type) {\n\t\tcase \"base64\": return Base64.encode(out);\n\t\tcase \"binary\": return out;\n\t\tcase \"string\": return out; /* override in sheet_to_txt */\n\t\tcase \"file\": return write_dl(opts.file, out, 'binary');\n\t\tcase \"buffer\": {\n\t\t\tif(has_buf) return Buffer_from(out, 'binary');\n\t\t\telse return out.split(\"\").map(function(c) { return c.charCodeAt(0); });\n\t\t}\n\t}\n\tthrow new Error(\"Unrecognized type \" + opts.type);\n}\n\n/* TODO: test consistency */\nfunction write_binary_type(out, opts) {\n\tswitch(opts.type) {\n\t\tcase \"string\":\n\t\tcase \"base64\":\n\t\tcase \"binary\":\n\t\t\tvar bstr = \"\";\n\t\t\t// $FlowIgnore\n\t\t\tfor(var i = 0; i < out.length; ++i) bstr += String.fromCharCode(out[i]);\n\t\t\treturn opts.type == 'base64' ? Base64.encode(bstr) : opts.type == 'string' ? utf8read(bstr) : bstr;\n\t\tcase \"file\": return write_dl(opts.file, out);\n\t\tcase \"buffer\": return out;\n\t\tdefault: throw new Error(\"Unrecognized type \" + opts.type);\n\t}\n}\n\nfunction writeSync(wb, opts) {\n\treset_cp();\n\tcheck_wb(wb);\n\tvar o = opts||{};\n\tif(o.cellStyles) { o.cellNF = true; o.sheetStubs = true; }\n\tif(o.type == \"array\") { o.type = \"binary\"; var out = (writeSync(wb, o)); o.type = \"array\"; return s2ab(out); }\n\tswitch(o.bookType || 'xlsb') {\n\t\tcase 'xml':\n\t\tcase 'xlml': return write_string_type(write_xlml(wb, o), o);\n\t\tcase 'slk':\n\t\tcase 'sylk': return write_string_type(write_slk_str(wb, o), o);\n\t\tcase 'htm':\n\t\tcase 'html': return write_string_type(write_htm_str(wb, o), o);\n\t\tcase 'txt': return write_stxt_type(write_txt_str(wb, o), o);\n\t\tcase 'csv': return write_string_type(write_csv_str(wb, o), o, \"\\ufeff\");\n\t\tcase 'dif': return write_string_type(write_dif_str(wb, o), o);\n\t\tcase 'dbf': return write_binary_type(write_dbf_buf(wb, o), o);\n\t\tcase 'prn': return write_string_type(write_prn_str(wb, o), o);\n\t\tcase 'rtf': return write_string_type(write_rtf_str(wb, o), o);\n\t\tcase 'eth': return write_string_type(write_eth_str(wb, o), o);\n\t\tcase 'fods': return write_string_type(write_ods(wb, o), o);\n\t\tcase 'biff2': if(!o.biff) o.biff = 2; /* falls through */\n\t\tcase 'biff3': if(!o.biff) o.biff = 3; /* falls through */\n\t\tcase 'biff4': if(!o.biff) o.biff = 4; return write_binary_type(write_biff_buf(wb, o), o);\n\t\tcase 'biff5': if(!o.biff) o.biff = 5; /* falls through */\n\t\tcase 'biff8':\n\t\tcase 'xla':\n\t\tcase 'xls': if(!o.biff) o.biff = 8; return write_cfb_type(wb, o);\n\t\tcase 'xlsx':\n\t\tcase 'xlsm':\n\t\tcase 'xlam':\n\t\tcase 'xlsb':\n\t\tcase 'ods': return write_zip_type(wb, o);\n\t\tdefault: throw new Error (\"Unrecognized bookType |\" + o.bookType + \"|\");\n\t}\n}\n\nfunction resolve_book_type(o) {\n\tif(o.bookType) return;\n\tvar _BT = {\n\t\t\"xls\": \"biff8\",\n\t\t\"htm\": \"html\",\n\t\t\"slk\": \"sylk\",\n\t\t\"socialcalc\": \"eth\",\n\t\t\"Sh33tJS\": \"WTF\"\n\t};\n\tvar ext = o.file.slice(o.file.lastIndexOf(\".\")).toLowerCase();\n\tif(ext.match(/^\\.[a-z]+$/)) o.bookType = ext.slice(1);\n\to.bookType = _BT[o.bookType] || o.bookType;\n}\n\nfunction writeFileSync(wb, filename, opts) {\n\tvar o = opts||{}; o.type = 'file';\n\to.file = filename;\n\tresolve_book_type(o);\n\treturn writeSync(wb, o);\n}\n\nfunction writeFileAsync(filename, wb, opts, cb) {\n\tvar o = opts||{}; o.type = 'file';\n\to.file = filename;\n\tresolve_book_type(o);\n\to.type = 'buffer';\n\tvar _cb = cb; if(!(_cb instanceof Function)) _cb = (opts);\n\treturn _fs.writeFile(filename, writeSync(wb, o), _cb);\n}\nfunction make_json_row(sheet, r, R, cols, header, hdr, dense, o) {\n\tvar rr = encode_row(R);\n\tvar defval = o.defval, raw = o.raw || !Object.prototype.hasOwnProperty.call(o, \"raw\");\n\tvar isempty = true;\n\tvar row = (header === 1) ? [] : {};\n\tif(header !== 1) {\n\t\tif(Object.defineProperty) try { Object.defineProperty(row, '__rowNum__', {value:R, enumerable:false}); } catch(e) { row.__rowNum__ = R; }\n\t\telse row.__rowNum__ = R;\n\t}\n\tif(!dense || sheet[R]) for (var C = r.s.c; C <= r.e.c; ++C) {\n\t\tvar val = dense ? sheet[R][C] : sheet[cols[C] + rr];\n\t\tif(val === undefined || val.t === undefined) {\n\t\t\tif(defval === undefined) continue;\n\t\t\tif(hdr[C] != null) { row[hdr[C]] = defval; }\n\t\t\tcontinue;\n\t\t}\n\t\tvar v = val.v;\n\t\tswitch(val.t){\n\t\t\tcase 'z': if(v == null) break; continue;\n\t\t\tcase 'e': v = void 0; break;\n\t\t\tcase 's': case 'd': case 'b': case 'n': break;\n\t\t\tdefault: throw new Error('unrecognized type ' + val.t);\n\t\t}\n\t\tif(hdr[C] != null) {\n\t\t\tif(v == null) {\n\t\t\t\tif(defval !== undefined) row[hdr[C]] = defval;\n\t\t\t\telse if(raw && v === null) row[hdr[C]] = null;\n\t\t\t\telse continue;\n\t\t\t} else {\n\t\t\t\trow[hdr[C]] = raw || (o.rawNumbers && val.t == \"n\") ? v : format_cell(val,v,o);\n\t\t\t}\n\t\t\tif(v != null) isempty = false;\n\t\t}\n\t}\n\treturn { row: row, isempty: isempty };\n}\n\n\nfunction sheet_to_json(sheet, opts) {\n\tif(sheet == null || sheet[\"!ref\"] == null) return [];\n\tvar val = {t:'n',v:0}, header = 0, offset = 1, hdr = [], v=0, vv=\"\";\n\tvar r = {s:{r:0,c:0},e:{r:0,c:0}};\n\tvar o = opts || {};\n\tvar range = o.range != null ? o.range : sheet[\"!ref\"];\n\tif(o.header === 1) header = 1;\n\telse if(o.header === \"A\") header = 2;\n\telse if(Array.isArray(o.header)) header = 3;\n\telse if(o.header == null) header = 0;\n\tswitch(typeof range) {\n\t\tcase 'string': r = safe_decode_range(range); break;\n\t\tcase 'number': r = safe_decode_range(sheet[\"!ref\"]); r.s.r = range; break;\n\t\tdefault: r = range;\n\t}\n\tif(header > 0) offset = 0;\n\tvar rr = encode_row(r.s.r);\n\tvar cols = [];\n\tvar out = [];\n\tvar outi = 0, counter = 0;\n\tvar dense = Array.isArray(sheet);\n\tvar R = r.s.r, C = 0, CC = 0;\n\tif(dense && !sheet[R]) sheet[R] = [];\n\tfor(C = r.s.c; C <= r.e.c; ++C) {\n\t\tcols[C] = encode_col(C);\n\t\tval = dense ? sheet[R][C] : sheet[cols[C] + rr];\n\t\tswitch(header) {\n\t\t\tcase 1: hdr[C] = C - r.s.c; break;\n\t\t\tcase 2: hdr[C] = cols[C]; break;\n\t\t\tcase 3: hdr[C] = o.header[C - r.s.c]; break;\n\t\t\tdefault:\n\t\t\t\tif(val == null) val = {w: \"__EMPTY\", t: \"s\"};\n\t\t\t\tvv = v = format_cell(val, null, o);\n\t\t\t\tcounter = 0;\n\t\t\t\tfor(CC = 0; CC < hdr.length; ++CC) if(hdr[CC] == vv) vv = v + \"_\" + (++counter);\n\t\t\t\thdr[C] = vv;\n\t\t}\n\t}\n\tfor (R = r.s.r + offset; R <= r.e.r; ++R) {\n\t\tvar row = make_json_row(sheet, r, R, cols, header, hdr, dense, o);\n\t\tif((row.isempty === false) || (header === 1 ? o.blankrows !== false : !!o.blankrows)) out[outi++] = row.row;\n\t}\n\tout.length = outi;\n\treturn out;\n}\n\nvar qreg = /\"/g;\nfunction make_csv_row(sheet, r, R, cols, fs, rs, FS, o) {\n\tvar isempty = true;\n\tvar row = [], txt = \"\", rr = encode_row(R);\n\tfor(var C = r.s.c; C <= r.e.c; ++C) {\n\t\tif (!cols[C]) continue;\n\t\tvar val = o.dense ? (sheet[R]||[])[C]: sheet[cols[C] + rr];\n\t\tif(val == null) txt = \"\";\n\t\telse if(val.v != null) {\n\t\t\tisempty = false;\n\t\t\ttxt = ''+(o.rawNumbers && val.t == \"n\" ? val.v : format_cell(val, null, o));\n\t\t\tfor(var i = 0, cc = 0; i !== txt.length; ++i) if((cc = txt.charCodeAt(i)) === fs || cc === rs || cc === 34 || o.forceQuotes) {txt = \"\\\"\" + txt.replace(qreg, '\"\"') + \"\\\"\"; break; }\n\t\t\tif(txt == \"ID\") txt = '\"ID\"';\n\t\t} else if(val.f != null && !val.F) {\n\t\t\tisempty = false;\n\t\t\ttxt = '=' + val.f; if(txt.indexOf(\",\") >= 0) txt = '\"' + txt.replace(qreg, '\"\"') + '\"';\n\t\t} else txt = \"\";\n\t\t/* NOTE: Excel CSV does not support array formulae */\n\t\trow.push(txt);\n\t}\n\tif(o.blankrows === false && isempty) return null;\n\treturn row.join(FS);\n}\n\nfunction sheet_to_csv(sheet, opts) {\n\tvar out = [];\n\tvar o = opts == null ? {} : opts;\n\tif(sheet == null || sheet[\"!ref\"] == null) return \"\";\n\tvar r = safe_decode_range(sheet[\"!ref\"]);\n\tvar FS = o.FS !== undefined ? o.FS : \",\", fs = FS.charCodeAt(0);\n\tvar RS = o.RS !== undefined ? o.RS : \"\\n\", rs = RS.charCodeAt(0);\n\tvar endregex = new RegExp((FS==\"|\" ? \"\\\\|\" : FS)+\"+$\");\n\tvar row = \"\", cols = [];\n\to.dense = Array.isArray(sheet);\n\tvar colinfo = o.skipHidden && sheet[\"!cols\"] || [];\n\tvar rowinfo = o.skipHidden && sheet[\"!rows\"] || [];\n\tfor(var C = r.s.c; C <= r.e.c; ++C) if (!((colinfo[C]||{}).hidden)) cols[C] = encode_col(C);\n\tfor(var R = r.s.r; R <= r.e.r; ++R) {\n\t\tif ((rowinfo[R]||{}).hidden) continue;\n\t\trow = make_csv_row(sheet, r, R, cols, fs, rs, FS, o);\n\t\tif(row == null) { continue; }\n\t\tif(o.strip) row = row.replace(endregex,\"\");\n\t\tout.push(row + RS);\n\t}\n\tdelete o.dense;\n\treturn out.join(\"\");\n}\n\nfunction sheet_to_txt(sheet, opts) {\n\tif(!opts) opts = {}; opts.FS = \"\\t\"; opts.RS = \"\\n\";\n\tvar s = sheet_to_csv(sheet, opts);\n\tif(typeof cptable == 'undefined' || opts.type == 'string') return s;\n\tvar o = cptable.utils.encode(1200, s, 'str');\n\treturn String.fromCharCode(255) + String.fromCharCode(254) + o;\n}\n\nfunction sheet_to_formulae(sheet) {\n\tvar y = \"\", x, val=\"\";\n\tif(sheet == null || sheet[\"!ref\"] == null) return [];\n\tvar r = safe_decode_range(sheet['!ref']), rr = \"\", cols = [], C;\n\tvar cmds = [];\n\tvar dense = Array.isArray(sheet);\n\tfor(C = r.s.c; C <= r.e.c; ++C) cols[C] = encode_col(C);\n\tfor(var R = r.s.r; R <= r.e.r; ++R) {\n\t\trr = encode_row(R);\n\t\tfor(C = r.s.c; C <= r.e.c; ++C) {\n\t\t\ty = cols[C] + rr;\n\t\t\tx = dense ? (sheet[R]||[])[C] : sheet[y];\n\t\t\tval = \"\";\n\t\t\tif(x === undefined) continue;\n\t\t\telse if(x.F != null) {\n\t\t\t\ty = x.F;\n\t\t\t\tif(!x.f) continue;\n\t\t\t\tval = x.f;\n\t\t\t\tif(y.indexOf(\":\") == -1) y = y + \":\" + y;\n\t\t\t}\n\t\t\tif(x.f != null) val = x.f;\n\t\t\telse if(x.t == 'z') continue;\n\t\t\telse if(x.t == 'n' && x.v != null) val = \"\" + x.v;\n\t\t\telse if(x.t == 'b') val = x.v ? \"TRUE\" : \"FALSE\";\n\t\t\telse if(x.w !== undefined) val = \"'\" + x.w;\n\t\t\telse if(x.v === undefined) continue;\n\t\t\telse if(x.t == 's') val = \"'\" + x.v;\n\t\t\telse val = \"\"+x.v;\n\t\t\tcmds[cmds.length] = y + \"=\" + val;\n\t\t}\n\t}\n\treturn cmds;\n}\n\nfunction sheet_add_json(_ws, js, opts) {\n\tvar o = opts || {};\n\tvar offset = +!o.skipHeader;\n\tvar ws = _ws || ({});\n\tvar _R = 0, _C = 0;\n\tif(ws && o.origin != null) {\n\t\tif(typeof o.origin == 'number') _R = o.origin;\n\t\telse {\n\t\t\tvar _origin = typeof o.origin == \"string\" ? decode_cell(o.origin) : o.origin;\n\t\t\t_R = _origin.r; _C = _origin.c;\n\t\t}\n\t}\n\tvar cell;\n\tvar range = ({s: {c:0, r:0}, e: {c:_C, r:_R + js.length - 1 + offset}});\n\tif(ws['!ref']) {\n\t\tvar _range = safe_decode_range(ws['!ref']);\n\t\trange.e.c = Math.max(range.e.c, _range.e.c);\n\t\trange.e.r = Math.max(range.e.r, _range.e.r);\n\t\tif(_R == -1) { _R = _range.e.r + 1; range.e.r = _R + js.length - 1 + offset; }\n\t} else {\n\t\tif(_R == -1) { _R = 0; range.e.r = js.length - 1 + offset; }\n\t}\n\tvar hdr = o.header || [], C = 0;\n\n\tjs.forEach(function (JS, R) {\n\t\tkeys(JS).forEach(function(k) {\n\t\t\tif((C=hdr.indexOf(k)) == -1) hdr[C=hdr.length] = k;\n\t\t\tvar v = JS[k];\n\t\t\tvar t = 'z';\n\t\t\tvar z = \"\";\n\t\t\tvar ref = encode_cell({c:_C + C,r:_R + R + offset});\n\t\t\tcell = utils.sheet_get_cell(ws, ref);\n\t\t\tif(v && typeof v === 'object' && !(v instanceof Date)){\n\t\t\t\tws[ref] = v;\n\t\t\t} else {\n\t\t\t\tif(typeof v == 'number') t = 'n';\n\t\t\t\telse if(typeof v == 'boolean') t = 'b';\n\t\t\t\telse if(typeof v == 'string') t = 's';\n\t\t\t\telse if(v instanceof Date) {\n\t\t\t\t\tt = 'd';\n\t\t\t\t\tif(!o.cellDates) { t = 'n'; v = datenum(v); }\n\t\t\t\t\tz = (o.dateNF || SSF._table[14]);\n\t\t\t\t}\n\t\t\t\tif(!cell) ws[ref] = cell = ({t:t, v:v});\n\t\t\t\telse {\n\t\t\t\t\tcell.t = t; cell.v = v;\n\t\t\t\t\tdelete cell.w; delete cell.R;\n\t\t\t\t\tif(z) cell.z = z;\n\t\t\t\t}\n\t\t\t\tif(z) cell.z = z;\n\t\t\t}\n\t\t});\n\t});\n\trange.e.c = Math.max(range.e.c, _C + hdr.length - 1);\n\tvar __R = encode_row(_R);\n\tif(offset) for(C = 0; C < hdr.length; ++C) ws[encode_col(C + _C) + __R] = {t:'s', v:hdr[C]};\n\tws['!ref'] = encode_range(range);\n\treturn ws;\n}\nfunction json_to_sheet(js, opts) { return sheet_add_json(null, js, opts); }\n\nvar utils = {\n\tencode_col: encode_col,\n\tencode_row: encode_row,\n\tencode_cell: encode_cell,\n\tencode_range: encode_range,\n\tdecode_col: decode_col,\n\tdecode_row: decode_row,\n\tsplit_cell: split_cell,\n\tdecode_cell: decode_cell,\n\tdecode_range: decode_range,\n\tformat_cell: format_cell,\n\tget_formulae: sheet_to_formulae,\n\tmake_csv: sheet_to_csv,\n\tmake_json: sheet_to_json,\n\tmake_formulae: sheet_to_formulae,\n\tsheet_add_aoa: sheet_add_aoa,\n\tsheet_add_json: sheet_add_json,\n\tsheet_add_dom: sheet_add_dom,\n\taoa_to_sheet: aoa_to_sheet,\n\tjson_to_sheet: json_to_sheet,\n\ttable_to_sheet: parse_dom_table,\n\ttable_to_book: table_to_book,\n\tsheet_to_csv: sheet_to_csv,\n\tsheet_to_txt: sheet_to_txt,\n\tsheet_to_json: sheet_to_json,\n\tsheet_to_html: HTML_.from_sheet,\n\tsheet_to_formulae: sheet_to_formulae,\n\tsheet_to_row_object_array: sheet_to_json\n};\n\n(function(utils) {\nutils.consts = utils.consts || {};\nfunction add_consts(R/*Array*/) { R.forEach(function(a){ utils.consts[a[0]] = a[1]; }); }\n\nfunction get_default(x, y, z) { return x[y] != null ? x[y] : (x[y] = z); }\n\n/* get cell, creating a stub if necessary */\nfunction ws_get_cell_stub(ws, R, C) {\n\t/* A1 cell address */\n\tif(typeof R == \"string\") {\n\t\t/* dense */\n\t\tif(Array.isArray(ws)) {\n\t\t\tvar RC = decode_cell(R);\n\t\t\tif(!ws[RC.r]) ws[RC.r] = [];\n\t\t\treturn ws[RC.r][RC.c] || (ws[RC.r][RC.c] = {t:'z'});\n\t\t}\n\t\treturn ws[R] || (ws[R] = {t:'z'});\n\t}\n\t/* cell address object */\n\tif(typeof R != \"number\") return ws_get_cell_stub(ws, encode_cell(R));\n\t/* R and C are 0-based indices */\n\treturn ws_get_cell_stub(ws, encode_cell({r:R,c:C||0}));\n}\nutils.sheet_get_cell = ws_get_cell_stub;\n\n/* find sheet index for given name / validate index */\nfunction wb_sheet_idx(wb, sh) {\n\tif(typeof sh == \"number\") {\n\t\tif(sh >= 0 && wb.SheetNames.length > sh) return sh;\n\t\tthrow new Error(\"Cannot find sheet # \" + sh);\n\t} else if(typeof sh == \"string\") {\n\t\tvar idx = wb.SheetNames.indexOf(sh);\n\t\tif(idx > -1) return idx;\n\t\tthrow new Error(\"Cannot find sheet name |\" + sh + \"|\");\n\t} else throw new Error(\"Cannot find sheet |\" + sh + \"|\");\n}\n\n/* simple blank workbook object */\nutils.book_new = function() {\n\treturn { SheetNames: [], Sheets: {} };\n};\n\n/* add a worksheet to the end of a given workbook */\nutils.book_append_sheet = function(wb, ws, name) {\n\tif(!name) for(var i = 1; i <= 0xFFFF; ++i, name = undefined) if(wb.SheetNames.indexOf(name = \"Sheet\" + i) == -1) break;\n\tif(!name || wb.SheetNames.length >= 0xFFFF) throw new Error(\"Too many worksheets\");\n\tcheck_ws_name(name);\n\tif(wb.SheetNames.indexOf(name) >= 0) throw new Error(\"Worksheet with name |\" + name + \"| already exists!\");\n\n\twb.SheetNames.push(name);\n\twb.Sheets[name] = ws;\n};\n\n/* set sheet visibility (visible/hidden/very hidden) */\nutils.book_set_sheet_visibility = function(wb, sh, vis) {\n\tget_default(wb,\"Workbook\",{});\n\tget_default(wb.Workbook,\"Sheets\",[]);\n\n\tvar idx = wb_sheet_idx(wb, sh);\n\t// $FlowIgnore\n\tget_default(wb.Workbook.Sheets,idx, {});\n\n\tswitch(vis) {\n\t\tcase 0: case 1: case 2: break;\n\t\tdefault: throw new Error(\"Bad sheet visibility setting \" + vis);\n\t}\n\t// $FlowIgnore\n\twb.Workbook.Sheets[idx].Hidden = vis;\n};\nadd_consts([\n\t[\"SHEET_VISIBLE\", 0],\n\t[\"SHEET_HIDDEN\", 1],\n\t[\"SHEET_VERY_HIDDEN\", 2]\n]);\n\n/* set number format */\nutils.cell_set_number_format = function(cell, fmt) {\n\tcell.z = fmt;\n\treturn cell;\n};\n\n/* set cell hyperlink */\nutils.cell_set_hyperlink = function(cell, target, tooltip) {\n\tif(!target) {\n\t\tdelete cell.l;\n\t} else {\n\t\tcell.l = ({ Target: target });\n\t\tif(tooltip) cell.l.Tooltip = tooltip;\n\t}\n\treturn cell;\n};\nutils.cell_set_internal_link = function(cell, range, tooltip) { return utils.cell_set_hyperlink(cell, \"#\" + range, tooltip); };\n\n/* add to cell comments */\nutils.cell_add_comment = function(cell, text, author) {\n\tif(!cell.c) cell.c = [];\n\tcell.c.push({t:text, a:author||\"SheetJS\"});\n};\n\n/* set array formula and flush related cells */\nutils.sheet_set_array_formula = function(ws, range, formula) {\n\tvar rng = typeof range != \"string\" ? range : safe_decode_range(range);\n\tvar rngstr = typeof range == \"string\" ? range : encode_range(range);\n\tfor(var R = rng.s.r; R <= rng.e.r; ++R) for(var C = rng.s.c; C <= rng.e.c; ++C) {\n\t\tvar cell = ws_get_cell_stub(ws, R, C);\n\t\tcell.t = 'n';\n\t\tcell.F = rngstr;\n\t\tdelete cell.v;\n\t\tif(R == rng.s.r && C == rng.s.c) cell.f = formula;\n\t}\n\treturn ws;\n};\n\nreturn utils;\n})(utils);\n\nif(has_buf && typeof require != 'undefined') (function() {\n\tvar Readable = require('stream').Readable;\n\n\tvar write_csv_stream = function(sheet, opts) {\n\t\tvar stream = Readable();\n\t\tvar o = opts == null ? {} : opts;\n\t\tif(sheet == null || sheet[\"!ref\"] == null) { stream.push(null); return stream; }\n\t\tvar r = safe_decode_range(sheet[\"!ref\"]);\n\t\tvar FS = o.FS !== undefined ? o.FS : \",\", fs = FS.charCodeAt(0);\n\t\tvar RS = o.RS !== undefined ? o.RS : \"\\n\", rs = RS.charCodeAt(0);\n\t\tvar endregex = new RegExp((FS==\"|\" ? \"\\\\|\" : FS)+\"+$\");\n\t\tvar row = \"\", cols = [];\n\t\to.dense = Array.isArray(sheet);\n\t\tvar colinfo = o.skipHidden && sheet[\"!cols\"] || [];\n\t\tvar rowinfo = o.skipHidden && sheet[\"!rows\"] || [];\n\t\tfor(var C = r.s.c; C <= r.e.c; ++C) if (!((colinfo[C]||{}).hidden)) cols[C] = encode_col(C);\n\t\tvar R = r.s.r;\n\t\tvar BOM = false;\n\t\tstream._read = function() {\n\t\t\tif(!BOM) { BOM = true; return stream.push(\"\\uFEFF\"); }\n\t\t\twhile(R <= r.e.r) {\n\t\t\t\t++R;\n\t\t\t\tif ((rowinfo[R-1]||{}).hidden) continue;\n\t\t\t\trow = make_csv_row(sheet, r, R-1, cols, fs, rs, FS, o);\n\t\t\t\tif(row != null) {\n\t\t\t\t\tif(o.strip) row = row.replace(endregex,\"\");\n\t\t\t\t\tstream.push(row + RS);\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(R > r.e.r) return stream.push(null);\n\t\t};\n\t\treturn stream;\n\t};\n\n\tvar write_html_stream = function(ws, opts) {\n\t\tvar stream = Readable();\n\n\t\tvar o = opts || {};\n\t\tvar header = o.header != null ? o.header : HTML_.BEGIN;\n\t\tvar footer = o.footer != null ? o.footer : HTML_.END;\n\t\tstream.push(header);\n\t\tvar r = decode_range(ws['!ref']);\n\t\to.dense = Array.isArray(ws);\n\t\tstream.push(HTML_._preamble(ws, r, o));\n\t\tvar R = r.s.r;\n\t\tvar end = false;\n\t\tstream._read = function() {\n\t\t\tif(R > r.e.r) {\n\t\t\t\tif(!end) { end = true; stream.push(\"\" + footer); }\n\t\t\t\treturn stream.push(null);\n\t\t\t}\n\t\t\twhile(R <= r.e.r) {\n\t\t\t\tstream.push(HTML_._row(ws, r, R, o));\n\t\t\t\t++R;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t};\n\t\treturn stream;\n\t};\n\n\tvar write_json_stream = function(sheet, opts) {\n\t\tvar stream = Readable({objectMode:true});\n\n\t\tif(sheet == null || sheet[\"!ref\"] == null) { stream.push(null); return stream; }\n\t\tvar val = {t:'n',v:0}, header = 0, offset = 1, hdr = [], v=0, vv=\"\";\n\t\tvar r = {s:{r:0,c:0},e:{r:0,c:0}};\n\t\tvar o = opts || {};\n\t\tvar range = o.range != null ? o.range : sheet[\"!ref\"];\n\t\tif(o.header === 1) header = 1;\n\t\telse if(o.header === \"A\") header = 2;\n\t\telse if(Array.isArray(o.header)) header = 3;\n\t\tswitch(typeof range) {\n\t\t\tcase 'string': r = safe_decode_range(range); break;\n\t\t\tcase 'number': r = safe_decode_range(sheet[\"!ref\"]); r.s.r = range; break;\n\t\t\tdefault: r = range;\n\t\t}\n\t\tif(header > 0) offset = 0;\n\t\tvar rr = encode_row(r.s.r);\n\t\tvar cols = [];\n\t\tvar counter = 0;\n\t\tvar dense = Array.isArray(sheet);\n\t\tvar R = r.s.r, C = 0, CC = 0;\n\t\tif(dense && !sheet[R]) sheet[R] = [];\n\t\tfor(C = r.s.c; C <= r.e.c; ++C) {\n\t\t\tcols[C] = encode_col(C);\n\t\t\tval = dense ? sheet[R][C] : sheet[cols[C] + rr];\n\t\t\tswitch(header) {\n\t\t\t\tcase 1: hdr[C] = C - r.s.c; break;\n\t\t\t\tcase 2: hdr[C] = cols[C]; break;\n\t\t\t\tcase 3: hdr[C] = o.header[C - r.s.c]; break;\n\t\t\t\tdefault:\n\t\t\t\t\tif(val == null) val = {w: \"__EMPTY\", t: \"s\"};\n\t\t\t\t\tvv = v = format_cell(val, null, o);\n\t\t\t\t\tcounter = 0;\n\t\t\t\t\tfor(CC = 0; CC < hdr.length; ++CC) if(hdr[CC] == vv) vv = v + \"_\" + (++counter);\n\t\t\t\t\thdr[C] = vv;\n\t\t\t}\n\t\t}\n\t\tR = r.s.r + offset;\n\t\tstream._read = function() {\n\t\t\tif(R > r.e.r) return stream.push(null);\n\t\t\twhile(R <= r.e.r) {\n\t\t\t\t//if ((rowinfo[R-1]||{}).hidden) continue;\n\t\t\t\tvar row = make_json_row(sheet, r, R, cols, header, hdr, dense, o);\n\t\t\t\t++R;\n\t\t\t\tif((row.isempty === false) || (header === 1 ? o.blankrows !== false : !!o.blankrows)) {\n\t\t\t\t\tstream.push(row.row);\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t\treturn stream;\n\t};\n\n\tXLSX.stream = {\n\t\tto_json: write_json_stream,\n\t\tto_html: write_html_stream,\n\t\tto_csv: write_csv_stream\n\t};\n})();\n\nif(typeof parse_xlscfb !== \"undefined\") XLSX.parse_xlscfb = parse_xlscfb;\nXLSX.parse_zip = parse_zip;\nXLSX.read = readSync; //xlsread\nXLSX.readFile = readFileSync; //readFile\nXLSX.readFileSync = readFileSync;\nXLSX.write = writeSync;\nXLSX.writeFile = writeFileSync;\nXLSX.writeFileSync = writeFileSync;\nXLSX.writeFileAsync = writeFileAsync;\nXLSX.utils = utils;\nXLSX.SSF = SSF;\nif(typeof CFB !== \"undefined\") XLSX.CFB = CFB;\n}\n/*global define */\nif(typeof exports !== 'undefined') make_xlsx_lib(exports);\nelse if(typeof module !== 'undefined' && module.exports) make_xlsx_lib(module.exports);\nelse if(typeof define === 'function' && define.amd) define(function() { if(!XLSX.version) make_xlsx_lib(XLSX); return XLSX; });\nelse make_xlsx_lib(XLSX);\n/*exported XLS, ODS */\nvar XLS = XLSX, ODS = XLSX;\n","// The module cache\nvar __webpack_module_cache__ = {};\n\n// The require function\nfunction __webpack_require__(moduleId) {\n\t// Check if module is in cache\n\tif(__webpack_module_cache__[moduleId]) {\n\t\treturn __webpack_module_cache__[moduleId].exports;\n\t}\n\t// Create a new module (and put it into the cache)\n\tvar module = __webpack_module_cache__[moduleId] = {\n\t\tid: moduleId,\n\t\tloaded: false,\n\t\texports: {}\n\t};\n\n\t// Execute the module function\n\t__webpack_modules__[moduleId].call(module.exports, module, module.exports, __webpack_require__);\n\n\t// Flag the module as loaded\n\tmodule.loaded = true;\n\n\t// Return the exports of the module\n\treturn module.exports;\n}\n\n","// module exports must be returned from runtime so entry inlining is disabled\n// startup\n// Load entry module and return exports\nreturn __webpack_require__(2476);\n","__webpack_require__.amdD = function () {\n\tthrow new Error('define cannot be used indirect');\n};","__webpack_require__.amdO = {};","// getDefaultExport function for compatibility with non-harmony modules\n__webpack_require__.n = (module) => {\n\tvar getter = module && module.__esModule ?\n\t\t() => (module['default']) :\n\t\t() => (module);\n\t__webpack_require__.d(getter, { a: getter });\n\treturn getter;\n};","// define getter functions for harmony exports\n__webpack_require__.d = (exports, definition) => {\n\tfor(var key in definition) {\n\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n\t\t}\n\t}\n};","__webpack_require__.g = (function() {\n\tif (typeof globalThis === 'object') return globalThis;\n\ttry {\n\t\treturn this || new Function('return this')();\n\t} catch (e) {\n\t\tif (typeof window === 'object') return window;\n\t}\n})();","__webpack_require__.o = (obj, prop) => (Object.prototype.hasOwnProperty.call(obj, prop))","// define __esModule on exports\n__webpack_require__.r = (exports) => {\n\tif(typeof Symbol !== 'undefined' && Symbol.toStringTag) {\n\t\tObject.defineProperty(exports, Symbol.toStringTag, { value: 'Module' });\n\t}\n\tObject.defineProperty(exports, '__esModule', { value: true });\n};","__webpack_require__.nmd = (module) => {\n\tmodule.paths = [];\n\tif (!module.children) module.children = [];\n\treturn module;\n};"],"sourceRoot":""} \ No newline at end of file diff --git a/danfojs-browser/src/core/series.js b/danfojs-browser/src/core/series.js index 4a6a8856..25d2adc0 100644 --- a/danfojs-browser/src/core/series.js +++ b/danfojs-browser/src/core/series.js @@ -1195,20 +1195,14 @@ export class Series extends NDframe { /** - * Exposes numerous string methods to manipulate Series - */ + * Exposes numerous string methods to manipulate Series of type string + */ get str() { - let values = this.values; - if (this.dtypes[0] != "string") { - let new_vals = []; - //convert each value in array to string - values.forEach((val) => { - new_vals.push(String(val)); - }); - let sf = new Series(new_vals, { columns: this.column_names, index: this.index }); - return new Str(sf); + if (this.dtypes[0] == "string") { + return new Str(this); + } else { + throw new Error("Cannot call accessor str on non-string type"); } - return new Str(this); } diff --git a/danfojs-browser/src/core/strings.js b/danfojs-browser/src/core/strings.js index fc25e449..e767e0ee 100644 --- a/danfojs-browser/src/core/strings.js +++ b/danfojs-browser/src/core/strings.js @@ -16,7 +16,12 @@ export class Str { toLowerCase() { let new_arr = []; this.array.map((val) => { - new_arr.push(val.toLowerCase()); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.toLowerCase()); + } + }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -29,7 +34,12 @@ export class Str { toUpperCase() { let new_arr = []; this.array.map((val) => { - new_arr.push(val.toUpperCase()); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.toUpperCase()); + } + }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -42,10 +52,15 @@ export class Str { capitalize() { let new_arr = []; this.array.map((val) => { - let f_char = val.slice(0, 1); - let l_char = val.slice(1); - let new_str = `${f_char.toUpperCase()}${l_char.toLowerCase()}`; - new_arr.push(new_str); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + let f_char = val.slice(0, 1); + let l_char = val.slice(1); + let new_str = `${f_char.toUpperCase()}${l_char.toLowerCase()}`; + new_arr.push(new_str); + } + }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -60,7 +75,11 @@ export class Str { charAt(index = 0) { let new_arr = []; this.array.map((val) => { - new_arr.push(val.charAt(index)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.charAt(index)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -94,10 +113,18 @@ export class Str { this.array.map((val) => { if (position == 1) { - new_arr.push(val.concat(other)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(String(val).concat(other)); + } else { + new_arr.push(val.concat(other)); + } } else { - new_arr.push(other.concat(val)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(other.concat(String(val))); + } else { + new_arr.push(other.concat(val)); + } } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -114,8 +141,12 @@ export class Str { */ startsWith(str = "") { let new_arr = []; - this.array.map((val) => { - new_arr.push(val.startsWith(str)); + this.array.forEach((val) => { + if (isNaN(val) && typeof val != "string") { + new_arr.push(false); + } else { + new_arr.push(val.startsWith(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -129,7 +160,11 @@ export class Str { endsWith(str = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.endsWith(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(false); + } else { + new_arr.push(val.endsWith(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -143,7 +178,11 @@ export class Str { includes(str = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.includes(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(false); + } else { + new_arr.push(val.includes(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -157,7 +196,11 @@ export class Str { indexOf(str = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.indexOf(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(-1); + } else { + new_arr.push(val.indexOf(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -171,7 +214,11 @@ export class Str { lastIndexOf(str = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.lastIndexOf(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(-1); + } else { + new_arr.push(val.lastIndexOf(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -187,7 +234,11 @@ export class Str { replace(searchValue = "", replaceValue = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.replace(searchValue, replaceValue)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.replace(searchValue, replaceValue)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -201,7 +252,11 @@ export class Str { repeat(num = 1) { let new_arr = []; this.array.map((val) => { - new_arr.push(val.repeat(num)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.repeat(num)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -216,7 +271,11 @@ export class Str { search(str = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.search(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(-1); + } else { + new_arr.push(val.search(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -231,7 +290,11 @@ export class Str { slice(startIndex = 0, endIndex = 1) { let new_arr = []; this.array.map((val) => { - new_arr.push(val.slice(startIndex, endIndex)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.slice(startIndex, endIndex)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -246,7 +309,11 @@ export class Str { split(splitVal = " ") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.split(splitVal)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.split(splitVal)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -261,7 +328,11 @@ export class Str { substr(startIndex = 0, num = 1) { let new_arr = []; this.array.map((val) => { - new_arr.push(val.substr(startIndex, num)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.substr(startIndex, num)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -276,7 +347,11 @@ export class Str { substring(startIndex = 0, endIndex = 1) { let new_arr = []; this.array.map((val) => { - new_arr.push(val.substring(startIndex, endIndex)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.substring(startIndex, endIndex)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -289,7 +364,11 @@ export class Str { trim() { let new_arr = []; this.array.map((val) => { - new_arr.push(val.trim()); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.trim()); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -304,10 +383,14 @@ export class Str { join(valToJoin = "", joinChar = " ") { let new_arr = []; this.array.map((val) => { - let l_char = val; - let r_char = valToJoin; - let new_char = `${l_char}${joinChar}${r_char}`; - new_arr.push(new_char); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + let l_char = val; + let r_char = valToJoin; + let new_char = `${l_char}${joinChar}${r_char}`; + new_arr.push(new_char); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -320,7 +403,11 @@ export class Str { len() { let new_arr = []; this.array.map((val) => { - new_arr.push(val.length); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.length); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; diff --git a/danfojs-browser/tests/core/frame.js b/danfojs-browser/tests/core/frame.js index 558935ba..10eebc2d 100644 --- a/danfojs-browser/tests/core/frame.js +++ b/danfojs-browser/tests/core/frame.js @@ -2352,4 +2352,28 @@ describe("DataFrame", function () { }); }); + describe("Str", function () { + it("Str (startsWith) works for columns selected from a DF", function () { + let data = { + "Name": [ "Apples", "Bake", "Application", undefined ], + "Count": [ 2, 5, 4, 10 ], + "Price": [ 200, 300, 40, 250 ] + }; + + let df = new dfd.DataFrame(data); + let name_sf = df['Name']; + assert.deepEqual(name_sf.str.startsWith("App").values, [ true, false, true, false ]); + }); + it("Str (toLowerCase) works for columns selected from a DF", function () { + let data = { + "Name": [ "Apples", "Bake", "Application", undefined ], + "Count": [ 2, 5, 4, 10 ], + "Price": [ 200, 300, 40, 250 ] + }; + + let df = new dfd.DataFrame(data); + let name_sf = df['Name']; + assert.deepEqual(name_sf.str.toLowerCase().values, [ "apples", "bake", "application", NaN ]); + }); + }); }); diff --git a/danfojs-browser/tests/core/series.js b/danfojs-browser/tests/core/series.js index d589f76d..3d079cf9 100644 --- a/danfojs-browser/tests/core/series.js +++ b/danfojs-browser/tests/core/series.js @@ -1134,11 +1134,17 @@ describe("Series", function () { assert.deepEqual(sf.str.charAt(2).values, res); }); - it("Returns the concat of numeric series", function () { + it("Throws error on concat of numeric series", function () { let data = [ 1, 2, 3, 4, 5, 6 ]; - let res = [ "120", "220", "320", "420", "520", "620" ]; let sf = new dfd.Series(data); - assert.deepEqual(sf.str.concat("20", 1).values, res); + assert.throws( + () => { + sf.str.concat("20", 1); + }, + Error, + "Cannot call accessor str on non-string type" + ); + }); }); diff --git a/danfojs-node/dist/core/series.js b/danfojs-node/dist/core/series.js index 6caba17b..b22d8a10 100644 --- a/danfojs-node/dist/core/series.js +++ b/danfojs-node/dist/core/series.js @@ -961,21 +961,11 @@ class Series extends _generic.default { } get str() { - let values = this.values; - - if (this.dtypes[0] != "string") { - let new_vals = []; - values.forEach(val => { - new_vals.push(String(val)); - }); - let sf = new Series(new_vals, { - columns: this.column_names, - index: this.index - }); - return new _strings.Str(sf); + if (this.dtypes[0] == "string") { + return new _strings.Str(this); + } else { + throw new Error("Cannot call accessor str on non-string type"); } - - return new _strings.Str(this); } get dt() { diff --git a/danfojs-node/dist/core/strings.js b/danfojs-node/dist/core/strings.js index b12e9ad7..55680aae 100644 --- a/danfojs-node/dist/core/strings.js +++ b/danfojs-node/dist/core/strings.js @@ -16,7 +16,11 @@ class Str { toLowerCase() { let new_arr = []; this.array.map(val => { - new_arr.push(val.toLowerCase()); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.toLowerCase()); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -27,7 +31,11 @@ class Str { toUpperCase() { let new_arr = []; this.array.map(val => { - new_arr.push(val.toUpperCase()); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.toUpperCase()); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -38,10 +46,14 @@ class Str { capitalize() { let new_arr = []; this.array.map(val => { - let f_char = val.slice(0, 1); - let l_char = val.slice(1); - let new_str = `${f_char.toUpperCase()}${l_char.toLowerCase()}`; - new_arr.push(new_str); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + let f_char = val.slice(0, 1); + let l_char = val.slice(1); + let new_str = `${f_char.toUpperCase()}${l_char.toLowerCase()}`; + new_arr.push(new_str); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -52,7 +64,11 @@ class Str { charAt(index = 0) { let new_arr = []; this.array.map(val => { - new_arr.push(val.charAt(index)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.charAt(index)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -82,9 +98,17 @@ class Str { let new_arr = []; this.array.map(val => { if (position == 1) { - new_arr.push(val.concat(other)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(String(val).concat(other)); + } else { + new_arr.push(val.concat(other)); + } } else { - new_arr.push(other.concat(val)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(other.concat(String(val))); + } else { + new_arr.push(other.concat(val)); + } } }); @@ -96,8 +120,12 @@ class Str { startsWith(str = "") { let new_arr = []; - this.array.map(val => { - new_arr.push(val.startsWith(str)); + this.array.forEach(val => { + if (isNaN(val) && typeof val != "string") { + new_arr.push(false); + } else { + new_arr.push(val.startsWith(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -108,7 +136,11 @@ class Str { endsWith(str = "") { let new_arr = []; this.array.map(val => { - new_arr.push(val.endsWith(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(false); + } else { + new_arr.push(val.endsWith(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -119,7 +151,11 @@ class Str { includes(str = "") { let new_arr = []; this.array.map(val => { - new_arr.push(val.includes(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(false); + } else { + new_arr.push(val.includes(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -130,7 +166,11 @@ class Str { indexOf(str = "") { let new_arr = []; this.array.map(val => { - new_arr.push(val.indexOf(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(-1); + } else { + new_arr.push(val.indexOf(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -141,7 +181,11 @@ class Str { lastIndexOf(str = "") { let new_arr = []; this.array.map(val => { - new_arr.push(val.lastIndexOf(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(-1); + } else { + new_arr.push(val.lastIndexOf(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -152,7 +196,11 @@ class Str { replace(searchValue = "", replaceValue = "") { let new_arr = []; this.array.map(val => { - new_arr.push(val.replace(searchValue, replaceValue)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.replace(searchValue, replaceValue)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -163,7 +211,11 @@ class Str { repeat(num = 1) { let new_arr = []; this.array.map(val => { - new_arr.push(val.repeat(num)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.repeat(num)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -174,7 +226,11 @@ class Str { search(str = "") { let new_arr = []; this.array.map(val => { - new_arr.push(val.search(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(-1); + } else { + new_arr.push(val.search(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -185,7 +241,11 @@ class Str { slice(startIndex = 0, endIndex = 1) { let new_arr = []; this.array.map(val => { - new_arr.push(val.slice(startIndex, endIndex)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.slice(startIndex, endIndex)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -196,7 +256,11 @@ class Str { split(splitVal = " ") { let new_arr = []; this.array.map(val => { - new_arr.push(val.split(splitVal)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.split(splitVal)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -207,7 +271,11 @@ class Str { substr(startIndex = 0, num = 1) { let new_arr = []; this.array.map(val => { - new_arr.push(val.substr(startIndex, num)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.substr(startIndex, num)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -218,7 +286,11 @@ class Str { substring(startIndex = 0, endIndex = 1) { let new_arr = []; this.array.map(val => { - new_arr.push(val.substring(startIndex, endIndex)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.substring(startIndex, endIndex)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -229,7 +301,11 @@ class Str { trim() { let new_arr = []; this.array.map(val => { - new_arr.push(val.trim()); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.trim()); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -240,10 +316,14 @@ class Str { join(valToJoin = "", joinChar = " ") { let new_arr = []; this.array.map(val => { - let l_char = val; - let r_char = valToJoin; - let new_char = `${l_char}${joinChar}${r_char}`; - new_arr.push(new_char); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + let l_char = val; + let r_char = valToJoin; + let new_char = `${l_char}${joinChar}${r_char}`; + new_arr.push(new_char); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -254,7 +334,11 @@ class Str { len() { let new_arr = []; this.array.map(val => { - new_arr.push(val.length); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.length); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); diff --git a/danfojs-node/src/core/series.js b/danfojs-node/src/core/series.js index f35e872f..0c184a61 100644 --- a/danfojs-node/src/core/series.js +++ b/danfojs-node/src/core/series.js @@ -1069,30 +1069,30 @@ export class Series extends NDframe { let bool = null; switch (b_ops) { - case "lt": - bool = l_val < r_val ? true : false; - data.push(bool); - break; - case "gt": - bool = l_val > r_val ? true : false; - data.push(bool); - break; - case "le": - bool = l_val <= r_val ? true : false; - data.push(bool); - break; - case "ge": - bool = l_val >= r_val ? true : false; - data.push(bool); - break; - case "ne": - bool = l_val != r_val ? true : false; - data.push(bool); - break; - case "eq": - bool = l_val === r_val ? true : false; - data.push(bool); - break; + case "lt": + bool = l_val < r_val ? true : false; + data.push(bool); + break; + case "gt": + bool = l_val > r_val ? true : false; + data.push(bool); + break; + case "le": + bool = l_val <= r_val ? true : false; + data.push(bool); + break; + case "ge": + bool = l_val >= r_val ? true : false; + data.push(bool); + break; + case "ne": + bool = l_val != r_val ? true : false; + data.push(bool); + break; + case "eq": + bool = l_val === r_val ? true : false; + data.push(bool); + break; } } return new Series(data); @@ -1113,30 +1113,30 @@ export class Series extends NDframe { let curr_val = s_data[i]; switch (ops) { - case "max": - if (curr_val > temp_val) { - data.push(curr_val); - temp_val = curr_val; - } else { - data.push(temp_val); - } - break; - case "min": - if (curr_val < temp_val) { - data.push(curr_val); - temp_val = curr_val; - } else { - data.push(temp_val); - } - break; - case "sum": - temp_val = temp_val + curr_val; + case "max": + if (curr_val > temp_val) { + data.push(curr_val); + temp_val = curr_val; + } else { data.push(temp_val); - break; - case "prod": - temp_val = temp_val * curr_val; + } + break; + case "min": + if (curr_val < temp_val) { + data.push(curr_val); + temp_val = curr_val; + } else { data.push(temp_val); - break; + } + break; + case "sum": + temp_val = temp_val + curr_val; + data.push(temp_val); + break; + case "prod": + temp_val = temp_val * curr_val; + data.push(temp_val); + break; } } @@ -1164,28 +1164,28 @@ export class Series extends NDframe { let new_values = []; switch (dtype) { - case "float32": - col_values.forEach((val) => { - new_values.push(Number(val)); - }); - break; - case "int32": - col_values.forEach((val) => { - new_values.push(Number(Number(val).toFixed())); - }); - break; - case "string": - col_values.forEach((val) => { - new_values.push(String(val)); - }); - break; - case "boolean": - col_values.forEach((val) => { - new_values.push(Boolean(val)); - }); - break; - default: - break; + case "float32": + col_values.forEach((val) => { + new_values.push(Number(val)); + }); + break; + case "int32": + col_values.forEach((val) => { + new_values.push(Number(Number(val).toFixed())); + }); + break; + case "string": + col_values.forEach((val) => { + new_values.push(String(val)); + }); + break; + case "boolean": + col_values.forEach((val) => { + new_values.push(Boolean(val)); + }); + break; + default: + break; } let sf = new Series(new_values, { dtypes: dtype, index: this.index }); @@ -1195,20 +1195,14 @@ export class Series extends NDframe { /** - * Exposes numerous string methods to manipulate Series + * Exposes numerous string methods to manipulate Series of type string */ get str() { - let values = this.values; - if (this.dtypes[0] != "string") { - let new_vals = []; - //convert each value in array to string - values.forEach((val) => { - new_vals.push(String(val)); - }); - let sf = new Series(new_vals, { columns: this.column_names, index: this.index }); - return new Str(sf); + if (this.dtypes[0] == "string") { + return new Str(this); + } else { + throw new Error("Cannot call accessor str on non-string type"); } - return new Str(this); } diff --git a/danfojs-node/src/core/strings.js b/danfojs-node/src/core/strings.js index fc25e449..e767e0ee 100644 --- a/danfojs-node/src/core/strings.js +++ b/danfojs-node/src/core/strings.js @@ -16,7 +16,12 @@ export class Str { toLowerCase() { let new_arr = []; this.array.map((val) => { - new_arr.push(val.toLowerCase()); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.toLowerCase()); + } + }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -29,7 +34,12 @@ export class Str { toUpperCase() { let new_arr = []; this.array.map((val) => { - new_arr.push(val.toUpperCase()); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.toUpperCase()); + } + }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -42,10 +52,15 @@ export class Str { capitalize() { let new_arr = []; this.array.map((val) => { - let f_char = val.slice(0, 1); - let l_char = val.slice(1); - let new_str = `${f_char.toUpperCase()}${l_char.toLowerCase()}`; - new_arr.push(new_str); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + let f_char = val.slice(0, 1); + let l_char = val.slice(1); + let new_str = `${f_char.toUpperCase()}${l_char.toLowerCase()}`; + new_arr.push(new_str); + } + }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -60,7 +75,11 @@ export class Str { charAt(index = 0) { let new_arr = []; this.array.map((val) => { - new_arr.push(val.charAt(index)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.charAt(index)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -94,10 +113,18 @@ export class Str { this.array.map((val) => { if (position == 1) { - new_arr.push(val.concat(other)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(String(val).concat(other)); + } else { + new_arr.push(val.concat(other)); + } } else { - new_arr.push(other.concat(val)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(other.concat(String(val))); + } else { + new_arr.push(other.concat(val)); + } } }); let sf = this.__create_new_sf_from(new_arr, this.series); @@ -114,8 +141,12 @@ export class Str { */ startsWith(str = "") { let new_arr = []; - this.array.map((val) => { - new_arr.push(val.startsWith(str)); + this.array.forEach((val) => { + if (isNaN(val) && typeof val != "string") { + new_arr.push(false); + } else { + new_arr.push(val.startsWith(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -129,7 +160,11 @@ export class Str { endsWith(str = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.endsWith(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(false); + } else { + new_arr.push(val.endsWith(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -143,7 +178,11 @@ export class Str { includes(str = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.includes(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(false); + } else { + new_arr.push(val.includes(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -157,7 +196,11 @@ export class Str { indexOf(str = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.indexOf(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(-1); + } else { + new_arr.push(val.indexOf(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -171,7 +214,11 @@ export class Str { lastIndexOf(str = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.lastIndexOf(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(-1); + } else { + new_arr.push(val.lastIndexOf(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -187,7 +234,11 @@ export class Str { replace(searchValue = "", replaceValue = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.replace(searchValue, replaceValue)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.replace(searchValue, replaceValue)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -201,7 +252,11 @@ export class Str { repeat(num = 1) { let new_arr = []; this.array.map((val) => { - new_arr.push(val.repeat(num)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.repeat(num)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -216,7 +271,11 @@ export class Str { search(str = "") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.search(str)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(-1); + } else { + new_arr.push(val.search(str)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -231,7 +290,11 @@ export class Str { slice(startIndex = 0, endIndex = 1) { let new_arr = []; this.array.map((val) => { - new_arr.push(val.slice(startIndex, endIndex)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.slice(startIndex, endIndex)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -246,7 +309,11 @@ export class Str { split(splitVal = " ") { let new_arr = []; this.array.map((val) => { - new_arr.push(val.split(splitVal)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.split(splitVal)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -261,7 +328,11 @@ export class Str { substr(startIndex = 0, num = 1) { let new_arr = []; this.array.map((val) => { - new_arr.push(val.substr(startIndex, num)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.substr(startIndex, num)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -276,7 +347,11 @@ export class Str { substring(startIndex = 0, endIndex = 1) { let new_arr = []; this.array.map((val) => { - new_arr.push(val.substring(startIndex, endIndex)); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.substring(startIndex, endIndex)); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -289,7 +364,11 @@ export class Str { trim() { let new_arr = []; this.array.map((val) => { - new_arr.push(val.trim()); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.trim()); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -304,10 +383,14 @@ export class Str { join(valToJoin = "", joinChar = " ") { let new_arr = []; this.array.map((val) => { - let l_char = val; - let r_char = valToJoin; - let new_char = `${l_char}${joinChar}${r_char}`; - new_arr.push(new_char); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + let l_char = val; + let r_char = valToJoin; + let new_char = `${l_char}${joinChar}${r_char}`; + new_arr.push(new_char); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; @@ -320,7 +403,11 @@ export class Str { len() { let new_arr = []; this.array.map((val) => { - new_arr.push(val.length); + if (isNaN(val) && typeof val != "string") { + new_arr.push(val); + } else { + new_arr.push(val.length); + } }); let sf = this.__create_new_sf_from(new_arr, this.series); return sf; diff --git a/danfojs-node/tests/core/frame.js b/danfojs-node/tests/core/frame.js index 7248bd27..01e1250e 100644 --- a/danfojs-node/tests/core/frame.js +++ b/danfojs-node/tests/core/frame.js @@ -2355,4 +2355,30 @@ describe("DataFrame", function () { }); }); + + describe("Str", function () { + it("Str (startsWith) works for columns selected from a DF", function () { + let data = { + "Name": ["Apples", "Bake", "Application", undefined], + "Count": [2, 5, 4, 10], + "Price": [200, 300, 40, 250] + }; + + let df = new DataFrame(data); + let name_sf = df['Name']; + assert.deepEqual(name_sf.str.startsWith("App").values, [true, false, true, false]); + }); + it("Str (toLowerCase) works for columns selected from a DF", function () { + let data = { + "Name": ["Apples", "Bake", "Application", undefined], + "Count": [2, 5, 4, 10], + "Price": [200, 300, 40, 250] + }; + + let df = new DataFrame(data); + let name_sf = df['Name']; + assert.deepEqual(name_sf.str.toLowerCase().values, ["apples", "bake", "application", NaN]); + }); + }); + }); diff --git a/danfojs-node/tests/core/series.js b/danfojs-node/tests/core/series.js index 0a5df6e7..2c8cfd0c 100644 --- a/danfojs-node/tests/core/series.js +++ b/danfojs-node/tests/core/series.js @@ -1135,11 +1135,17 @@ describe("Series", function () { assert.deepEqual(sf.str.charAt(2).values, res); }); - it("Returns the concat of numeric series", function () { + it("Throws error on concat of numeric series", function () { let data = [1, 2, 3, 4, 5, 6]; - let res = ["120", "220", "320", "420", "520", "620"]; let sf = new Series(data); - assert.deepEqual(sf.str.concat("20", 1).values, res); + assert.throws( + () => { + sf.str.concat("20", 1); + }, + Error, + "Cannot call accessor str on non-string type" + ); + }); }); diff --git a/danfojs-node/tests/core/strings.js b/danfojs-node/tests/core/strings.js index 15b79634..294b7d5b 100644 --- a/danfojs-node/tests/core/strings.js +++ b/danfojs-node/tests/core/strings.js @@ -5,162 +5,162 @@ import { Series } from "../../src/core/series"; describe("Str", function () { it("Converts all characters to lowercase.", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ 'lower', 'capitals', 'this is a sentence', 'swapcase' ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = ['lower', 'capitals', 'this is a sentence', 'swapcase']; let str = new Str(new Series(data)); assert.deepEqual(str.toLowerCase().values, res); }); it("Converts all characters to uppercase.", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ 'LOWER', 'CAPITALS', 'THIS IS A SENTENCE', 'SWAPCASE' ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = ['LOWER', 'CAPITALS', 'THIS IS A SENTENCE', 'SWAPCASE']; let str = new Str(new Series(data)); assert.deepEqual(str.toUpperCase().values, res); }); it("Converts all characters to capital case.", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ 'Lower', 'Capitals', 'This is a sentence', 'Swapcase' ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = ['Lower', 'Capitals', 'This is a sentence', 'Swapcase']; let str = new Str(new Series(data)); assert.deepEqual(str.capitalize().values, res); }); it("Returns the character at the specified index (position)", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ "w", "P", "i", "A" ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = ["w", "P", "i", "A"]; let str = new Str(new Series(data)); assert.deepEqual(str.charAt(2).values, res); }); it("Joins two or more strings. 0 joins from the start", function () { - let data = [ 'lower', 'CAPITALS', 'sentence', 'SwApCaSe' ]; - let data2 = [ 'XX', 'YY', 'BB', '01' ]; + let data = ['lower', 'CAPITALS', 'sentence', 'SwApCaSe']; + let data2 = ['XX', 'YY', 'BB', '01']; - let res = [ 'XXlower', 'YYCAPITALS', 'BBsentence', '01SwApCaSe' ]; + let res = ['XXlower', 'YYCAPITALS', 'BBsentence', '01SwApCaSe']; let str = new Str(new Series(data)); assert.deepEqual(str.concat(data2, 0).values, res); }); it("Joins two or more strings. 1 joins from the end", function () { - let data = [ 'lower', 'CAPITALS', 'sentence', 'SwApCaSe' ]; - let data2 = [ 'XX', 'YY', 'BB', '01' ]; + let data = ['lower', 'CAPITALS', 'sentence', 'SwApCaSe']; + let data2 = ['XX', 'YY', 'BB', '01']; - let res = [ 'lowerXX', 'CAPITALSYY', 'sentenceBB', 'SwApCaSe01' ]; + let res = ['lowerXX', 'CAPITALSYY', 'sentenceBB', 'SwApCaSe01']; let str = new Str(new Series(data)); assert.deepEqual(str.concat(data2, 1).values, res); }); it("Joins two arrays of strings. 0 joins from the start", function () { - let data = [ 'lower', 'CAPITALS', 'sentence', 'SwApCaSe' ]; - let res = [ 'prelower', 'preCAPITALS', 'presentence', 'preSwApCaSe' ]; + let data = ['lower', 'CAPITALS', 'sentence', 'SwApCaSe']; + let res = ['prelower', 'preCAPITALS', 'presentence', 'preSwApCaSe']; let str = new Str(new Series(data)); assert.deepEqual(str.concat("pre", 0).values, res); }); it("Joins two or more strings. 1 joins from the end", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ 'lowerpost', 'CAPITALSpost', 'this is a sentencepost', 'SwApCaSepost' ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = ['lowerpost', 'CAPITALSpost', 'this is a sentencepost', 'SwApCaSepost']; let str = new Str(new Series(data)); assert.deepEqual(str.concat("post", 1).values, res); }); it("Checks whether a string begins with specified characters", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ true, false, false, false ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = [true, false, false, false]; let str = new Str(new Series(data)); assert.deepEqual(str.startsWith("l").values, res); }); it("Checks whether a string ends with specified characters", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ false, false, true, true ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = [false, false, true, true]; let str = new Str(new Series(data)); assert.deepEqual(str.endsWith("e").values, res); }); it("Checks whether a string contains the specified string/characters", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ false, false, true, false ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = [false, false, true, false]; let str = new Str(new Series(data)); assert.deepEqual(str.includes("sentence").values, res); }); it("Returns the position of the first found occurrence of a specified value in a string", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ -1, 0, -1, 4 ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = [-1, 0, -1, 4]; let str = new Str(new Series(data)); assert.deepEqual(str.indexOf("C").values, res); }); it("Returns the position of the last found occurrence of a specified value in a string", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ 4, -1, -1, -1 ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = [4, -1, -1, -1]; let str = new Str(new Series(data)); assert.deepEqual(str.lastIndexOf("r").values, res); }); it("Returns a new string with a specified number of copies of an existing string", function () { - let data = [ 'a', 'b', 'c', 'd' ]; - let res = [ 'aaa', 'bbb', 'ccc', 'ddd' ]; + let data = ['a', 'b', 'c', 'd']; + let res = ['aaa', 'bbb', 'ccc', 'ddd']; let str = new Str(new Series(data)); assert.deepEqual(str.repeat(3).values, res); }); it("Searches a string for a specified value, or a regular expression, and returns a new string where the specified values are replaced", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ 'lower', 'CXXXPITALS', 'this is a sentence', 'SwXXXpCaSe' ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = ['lower', 'CXXXPITALS', 'this is a sentence', 'SwXXXpCaSe']; let str = new Str(new Series(data)); assert.deepEqual(str.replace("A", "XXX").values, res); }); it("Searches a string for a specified value, or regular expression, and returns the position of the match", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ -1, 1, -1, 2 ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = [-1, 1, -1, 2]; let str = new Str(new Series(data)); assert.deepEqual(str.search("A").values, res); }); it("Extracts a part of a string and returns a new string", function () { - let data = [ 'lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ 'ow', 'AP', 'hi', 'wA' ]; + let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = ['ow', 'AP', 'hi', 'wA']; let str = new Str(new Series(data)); assert.deepEqual(str.slice(1, 3).values, res); }); it("Splits a string into an array of substrings", function () { - let data = [ 'lower part', 'CAPITALS city', 'is a sentence', 'SwAp CaSe' ]; - let res = [ "lower,part", "CAPITALS,city", "is,a,sentence", "SwAp,CaSe" ]; + let data = ['lower part', 'CAPITALS city', 'is a sentence', 'SwAp CaSe']; + let res = ["lower,part", "CAPITALS,city", "is,a,sentence", "SwAp,CaSe"]; let str = new Str(new Series(data)); assert.deepEqual(str.split(" ").values, res); }); it("Extracts the characters from a string, beginning at a specified start position, and through the specified number of character", function () { - let data = [ 'lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe' ]; - let res = [ " p", "AL", "is", "Ca" ]; + let data = ['lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe']; + let res = [" p", "AL", "is", "Ca"]; let str = new Str(new Series(data)); assert.deepEqual(str.substr(5, 2).values, res); }); it("Extracts the characters from a string, between two specified indices", function () { - let data = [ 'lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe' ]; - let res = [ "w", "P", "i", "A" ]; + let data = ['lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe']; + let res = ["w", "P", "i", "A"]; let str = new Str(new Series(data)); assert.deepEqual(str.substring(2, 3).values, res); }); it("Removes whitespace from both ends of a string", function () { - let data = [ 'lower part ', ' CAPITALS city', ' this is a sentence', ' SwAp CaSe' ]; - let res = [ 'lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe' ]; + let data = ['lower part ', ' CAPITALS city', ' this is a sentence', ' SwAp CaSe']; + let res = ['lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe']; let str = new Str(new Series(data)); assert.deepEqual(str.trim().values, res); }); it("Joins strings to specified value", function () { - let data = [ 'lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe' ]; - let res = [ 'lower part,new', 'CAPITALS city,new', 'this is a sentence,new', 'SwAp CaSe,new' ]; + let data = ['lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe']; + let res = ['lower part,new', 'CAPITALS city,new', 'this is a sentence,new', 'SwAp CaSe,new']; let str = new Str(new Series(data)); assert.deepEqual(str.join("new", ",").values, res); }); it("Counts the number of characters in string", function () { - let data = [ 'lower part', 'CAPITALS', 'this is a sentence', 'SwApCaSe' ]; - let res = [ 10, 8, 18, 8 ]; + let data = ['lower part', 'CAPITALS', 'this is a sentence', 'SwApCaSe']; + let res = [10, 8, 18, 8]; let str = new Str(new Series(data)); assert.deepEqual(str.len().values, res); });